Mechanical Design Engineer Jobs in Lebanon

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p> <span><b>The Company</b></span> </p> <p>Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience.</p> <p>Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost.</p> <p>If you re excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we d love to hear from you.<br> <br> </p> <p> <span><b>About the role</b></span> </p> <p>We re looking for a Mid-Level Android Engineer who takes ownership of delivering medium-to-large features end-to-end, from design to production. You ll make technical decisions independently, manage risks and dependencies, and ensure reliable, high-quality releases that drive team and product impact.</p> <p>You ll design scalable Android modules, write clean, maintainable, and well-tested code, and improve existing workflows through automation, tooling, and documentation. You ll collaborate closely with Product, Design, QA, and Backend teams to resolve ambiguity early and deliver features smoothly across functions.</p> <p>As a key contributor, you ll also provide informal mentorship, share knowledge through code reviews, and help onboard and guide newer engineers, reinforcing a culture of collaboration and continuous improvement.</p> <p>In this role, you will:</p> <ul> <li>Lead the delivery of medium-to-large mobile features from design to production.</li> <li>Break down requirements, estimate effort, and manage risks with minimal oversight.</li> <li>Write clean, maintainable code with strong unit and integration test coverage.</li> <li>Design and implement scalable modules aligned with team architecture standards.</li> <li>Ensure stability post-launch through proactive testing, monitoring, and debugging.</li> <li>Collaborate closely with Product, Design, QA, and Backend teams to deliver high-quality user experiences.</li> <li>Improve team efficiency through automation, tooling enhancements, and better documentation.</li> <li>Provide constructive code reviews and support peers through informal mentorship.<br> <br> </li> </ul> <p> <span><b>Key Qualifications</b></span> </p> <ul> <li>Bachelor s degree in Computer Science or a related field.</li> <li>3 5 years of professional experience in Android development.</li> <li>Strong proficiency in Kotlin and experience with Jetpack Compose and other Jetpack libraries.</li> <li>Familiarity with Dependency Injection (DI) frameworks.</li> <li>Experience designing and building Android features or modules following best practices and design patterns.<br>Understanding of mobile architecture principles, performance optimization, and scalability basics.</li> <li>Knowledge of the mobile development lifecycle, including testing and debugging.</li> <li>Experience with Git and collaborative development workflows.</li> <li>Ability to write clean, maintainable, and well-tested code.</li> <li>Good problem-solving skills and ability to work independently with minimal guidance.</li> <li>Experience with app analytics or crash reporting tools (e.g., Firebase Analytics, Crashlytics) is a plus.</li> <li>Familiarity with reactive programming (RxKotlin, Flows, etc.) is a plus.</li> <li>Strong communication and collaboration skills within a cross-functional team.<br> <br> </li> </ul> <p> <span><b>Why Toters?</b></span> </p> <ul> <li>Flexible work environment with hybrid-friendly roles.</li> <li>Opportunity to lead impactful initiatives and shape technical strategy.</li> <li>Collaborate with talented engineers while growing your career.</li> <li>Strong culture of mentorship, collaboration, and continuous learning.</li> <li>Direct impact on products used by thousands of customers every day.</li> <li>Competitive compensation package.</li> <li>Exclusive discounts on Toters orders.</li> <li>First-class medical insurance.</li> </ul></div></section>

<p>Our client a telecom company are seeking, an Aftersales Technical Support Engineer with strong expertise in diesel generators, diesel engines, and their control systems. The successful candidate will provide remote technical support to customers and field service teams by diagnosing, troubleshooting, and resolving complex technical issues. The ideal candidate has a solid understanding of diesel engine mechanics, generator operation, and maintenance practices, with the ability to identify root causes and recommend effective solutions. This role requires strong analytical, communication, and technical reporting skills, as well as the ability to conduct structured troubleshooting sessions remotely via video calls and other digital communication platforms.</p><p>Key Responsibilities</p><ul><li>Provide remote technical support for diesel generators and related equipment.</li><li>Diagnose mechanical, electrical, and control system faults using a systematic troubleshooting approach.</li><li>Conduct live troubleshooting sessions with customers and field technicians through video calls and other remote communication tools.</li><li>Analyze technical issues, identify root causes, and recommend effective corrective actions.</li><li>Support installation, commissioning, maintenance, and repair activities when required.</li><li>Interpret electrical schematics, wiring diagrams, technical drawings, service manuals, and engine documentation.</li><li>Prepare clear technical reports, including findings, root cause analyses, corrective actions, and recommendations.</li><li>Collaborate with engineering teams to resolve complex or recurring technical issues.</li><li>Maintain accurate service records and technical documentation.</li><li>Ensure compliance with company procedures, quality standards, and safety requirements.</li><li>Provide technical guidance and product support to customers and internal teams.</li><li>Travel locally or internationally when required.</li></ul><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's Degree or Technical Degree in Mechanical Engineering, Electrical Engineering, or a related technical field.</li><li>2-3 years of experience in diesel generator technical support, maintenance, or aftersales service.</li><li>Hands-on experience in the Operation &amp; Maintenance (O&amp;M) of diesel generators is mandatory.</li><li>Strong knowledge of diesel engines, generator control systems, alternators, protection systems, and mechanical components.</li><li>Excellent troubleshooting and fault diagnosis skills.</li><li>Ability to read and interpret electrical schematics, mechanical drawings, and technical manuals.</li><li>Proficiency in Microsoft Office and technical report writing.</li><li>Familiarity with diagnostic and measurement tools, including multimeters, clamp meters, and standard mechanical hand tools.</li><li>Strong analytical, problem-solving, organizational, and follow-up skills.</li><li>Excellent verbal and written communication skills with a customer-focused approach.</li><li>Ability to work independently, manage multiple priorities, and perform effectively under pressure.</li><li>Fluency in English and French is mandatory; Arabic is an advantage.</li><li>Experience in the telecom power industry is considered an advantage.</li></ul>

<p><h4>Description</h4> <p>Kaizen Asset Management Services is at the forefront of integrating advanced technology within the asset and property management sector. We are currently looking for a talented Full Stack Engineer to join our dynamic team remotely. In this role, you will be responsible for developing and maintaining our web applications, contributing to both front-end and back-end development while ensuring a seamless user experience.</p> <h4>Key responsibilities:</h4> <ul> <li>Design, build, and maintain efficient, reusable, and reliable code for both front-end and back-end applications.</li> <li>Collaborate with UI/UX designers to implement intuitive and responsive user interfaces that enhance user engagement.</li> <li>Develop server-side logic, define and maintain databases, and ensure high performance and responsiveness to requests from the front-end.</li> <li>Work with a variety of web technologies, frameworks, and languages, ensuring optimal architecture and functionalities.</li> <li>Participate in code reviews, contributing to team knowledge sharing and continuous improvement initiatives.</li> <li>Identify and troubleshoot performance and scalability issues, implementing solutions to enhance the user experience.</li> <li>Stay up-to-date with emerging technologies and industry trends, applying them to improve our products.</li> </ul> <h4>Requirements</h4> <p><strong>I. Education:</strong><br> Bachelor's degree in Computer Science, Software Engineering, or a related field.</p> <p><strong>II. Experience:</strong><br> Minimum of 3 years of professional experience in full-stack development.</p> <p><strong>III. Technical skills:</strong></p> <ul> <li>Proficient in front-end technologies such as HTML, CSS, and JavaScript frameworks (e.g., React, Angular, or Vue.js).</li> <li>Strong experience in back-end languages such as Node.js, Python, Ruby, or Java.</li> <li>Hands-on experience with database management systems (SQL and NoSQL, e.g., PostgreSQL, MongoDB).</li> <li>Understanding of RESTful API design and integration.</li> <li>Familiarity with version control systems, especially Git.</li> <li>Experience with cloud services (AWS, Azure, etc.) is a plus.</li> </ul> <p><strong>IV. Soft skills:</strong></p> <ul> <li>Excellent problem-solving and analytical skills.</li> <li>Strong communication skills, with the ability to articulate complex technical concepts clearly.</li> <li>Ability to work effectively in a remote team environment.</li> <li>Strong attention to detail and commitment to high-quality deliverables.</li> </ul> <p><strong>V. Preferred qualifications:</strong></p> <ul> <li>Experience in the asset management or real estate sector.</li> <li>Keen interest in agile methodologies and participation in an agile development team.</li> </ul></p><p></p>

<p>We are looking for a motivated and detail-oriented Electrical Engineer to join our Generator Assembly Factory.</p><p>The successful candidate will be responsible for overseeing electrical assembly, testing, troubleshooting, and quality control of generator sets while ensuring compliance with engineering standards and safety regulations.</p><p><strong>Key Responsibilities</strong></p><ul><li>Supervise the electrical assembly of generator sets.</li><li>Read and review electrical schematics, wiring diagrams, and technical drawings.</li><li>Perform electrical testing, commissioning, and troubleshooting.</li><li>Ensure products meet quality, safety, and customer specifications.</li><li>Support production and after-sales teams in resolving electrical and technical issues.</li><li>Coordinate with mechanical, production, and quality departments.</li><li>Improve manufacturing efficiency and product reliability.</li><li>Maintain technical documentation and inspection records.</li><li>Ensure compliance with safety procedures and industry standards.</li></ul><p><strong>What We Offer</strong></p><ul><li>Competitive salary and benefits.</li><li>Professional development and training opportunities.</li><li>Dynamic manufacturing environment.</li><li>Opportunities for career growth.</li></ul><p>If you are passionate about electrical engineering and interested in working in a fast-paced generator manufacturing environment, we would love to hear from you!</p><p><strong>Desired Candidate Profile</strong></p><b>Qualifications</b><br><br>Bachelor's degree in Electrical Engineering.<br>2 5 years of experience in electrical engineering, manufacturing, or generator assembly is preferred.<br>Strong knowledge of electrical power systems, control panels, ATS, MTS, synchronizing systems, alternators, and diesel generators.<br>Ability to read electrical drawings and wiring diagrams.<br>Experience with electrical testing equipment and troubleshooting.<br>Good communication and teamwork skills.<br>Proficiency in Microsoft Office.<br>Experience with AutoCAD or electrical design software is a must.

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>The Company Toters is an on-demand e-commerce and delivery platform that enables customers to get anything in their city with the highest level of convenience. Technology is at the heart of everything we do. Our product and engineering teams work every day to build experiences that make customers lives easier while continuously improving internal systems to deliver faster and at the best cost. If you're excited about working in a high-growth startup environment and want to be part of a team shaping the future of how people shop in the Middle East, we'd love to hear from you.</p><p>As a Backend Engineer, you will own the end-to-end delivery of medium-to-large features and components, working autonomously within team-aligned boundaries. You will design and implement reliable, scalable backend systems, proactively improve team efficiency, mentor peers, and drive measurable impact on product and business metrics. You will act as a strong individual contributor who takes ownership, breaks down complex work, identifies and removes bottlenecks, and collaborates cross-functionally to ensure smooth, high-quality delivery.</p><p>Key Responsibilities</p><ul><li>Lead the design, development, and delivery of medium large features and system components over 1 3 month timelines, owning them end-to-end from breakdown to production.</li><li>Make technical decisions within your scope, escalate only long-term/cross-team trade-offs, and manage risks, dependencies, and timelines with minimal oversight.</li><li>Design full modules or feature areas independently: define responsibilities, boundaries, clear interfaces, data models, and predictable contracts for other teams.</li><li>Break down features into phases, provide realistic estimates based on dependencies, and deliver stable, production-ready code that handles edge cases and prevents regressions.</li><li>Enhance team efficiency by extending existing solutions, creating automation, applying conventions, implementing monitoring/alerting, improving tooling/onboarding, removing workflow bottlenecks, and documenting patterns/runbooks.</li><li>Write maintainable, well-tested code (unit + integration) for moderately complex tasks with multiple dependencies; opportunistically refactor while shipping.</li><li>Perform thorough code reviews, provide constructive feedback, and troubleshoot incidents calmly in your domain using monitoring signals.</li><li>Collaborate proactively with engineers, PMs, QA, DevOps, and other functions to resolve ambiguity, align on decisions, and keep delivery unblocked.</li><li>Provides informal mentorship and helps peers improve through pairing and guidance.</li><li>Surface ambiguity early, influence team technical approaches through clear reasoning, and contribute to team-level architecture/design discussions.</li><li>Represent engineering values in interviews, buddy new hires, and help maintain a healthy, high-performing team culture.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science or equivalent practical experience.</li><li>5+ years of hands-on software development experience (preferred in backend with PHP/Laravel).</li><li>Solid understanding of OOP, SOLID principles, design patterns.</li><li>Proven ability to design scalable modules, data models, and interfaces; experience with relational databases (PostgreSQL/MySQL), complex queries, schema design.</li><li>Advanced hands-on experience with caching (Redis), queuing systems, Git branching strategies, and CI/CD practices.</li><li>Comfortable owning production services: writing comprehensive tests, implementing monitoring/alerting, resolving incidents independently.</li><li>Track record of delivering stable, performant features that impact team/product metrics with minimal post-launch issues.</li><li>Strong analytical/problem-solving skills; able to break down work, estimate realistically, identify risks, and make informed trade-offs.</li><li>Excellent collaboration &amp; communication skills: explains technical concepts clearly, writes clear specs/docs, gives respectful/constructive feedback, builds relationships across roles.</li><li>Familiarity with agile methodologies and tools like Jira.</li><li>Proficiency in English (verbal &amp; written); Arabic is a strong plus.</li></ul><p>Nice to Have</p><ul><li>Experience with cloud platforms (AWS) and serverless/containerized architectures.</li><li>Previous work in high-traffic e-commerce, food delivery, or on-demand marketplaces.</li><li>Exposure to microservices, event-driven systems, or performance optimization at scale.</li><li>Experience ensuring compliance with privacy/KYC regulations in collaboration with product/legal teams.</li><li>Fluency in Arabic and English; French is a bonus.</li></ul><p></p></section>

HIRING | Mechanical Tendering Engineer - Maten area <br>A leading MEP company in Lebanon is looking for a Mechanical Tendering Engineer to join its team. <br>Requirements <br>• Bachelor’s degree in Mechanical Engineering <br>• 3–5 years of experience in MEP tendering, estimation, or design <br>• Strong knowledge of HVAC, Plumbing & Fire Fighting systems <br>• Excellent skills in AutoCAD, quantity take-offs & cost estimation <br>• Familiarity with MEP standards and codes <br>• Strong analytical and organizational skills <br>• Fluent English & French required <br>Monday to Friday; 9am - 5pm <br>Salary: 1800$ - 2300$ (depending on experience) plus other benefits

We are seeking an experienced Senior Backend / Platform Engineer to join a Swiss Company for its back office in Lebanon to play a critical role in building the architectural foundation of a next-generation multi-tenant digital banking platform. <br>The ideal candidate should meet the following requirements: <br>• Bachelor’s degree in computer science, Software Engineering, Information Technology, or related discipline. <br>• Minimum 8 years of backend software engineering experience. <br>• At least 5 years of hands-on experience developing applications using Node.js, TypeScript, and NestJS (or similar enterprise frameworks). <br>• Proven experience designing and implementing large-scale multi-tenant SaaS platforms. <br>• Strong expertise in PostgreSQL, including Row-Level Security (RLS), schema design, indexing, query optimization, and performance tuning. <br>• Solid experience implementing OAuth2, OpenID Connect, JWT authentication, Single Sign-On (SSO), and Multi-Factor Authentication (MFA). <br>• Hands-on experience building and managing Docker-based applications and CI/CD pipelines. <br>• Strong understanding of cloud infrastructure, preferably Microsoft Azure. <br>• Extensive knowledge of secure software development practices, encryption technologies, secrets management, and API security. <br>• Proven experience integrating external APIs, including payment gateways, financial services, KYC providers, or similar enterprise integrations. <br>• Strong analytical thinking, problem-solving, and software architecture skills. <br>• Excellent communication skills and the ability to work collaboratively in cross-functional engineering teams. <br> <br>Preferred Qualifications <br>• Previous experience within FinTech, Digital Banking, Payments, or Banking-as-a-Service (BaaS). <br>• Experience with API Gateways, Service Meshes, Message Queues, and Event-Driven Architectures. <br>• Knowledge of distributed systems monitoring, observability, logging, and tracing. <br>• Experience participating in large-scale platform modernization or single-tenant to multi-tenant migrations. <br>• Working knowledge of React and Next.js sufficient to review frontend API contracts. <br>• Ability to understand and review software written in other programming languages such as Java, Kotlin, or C#. <br> <br>AI-Driven Engineering Experience <br>• Daily hands-on experience using AI coding assistants such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar platforms. <br>• Strong prompt engineering skills with the ability to produce accurate technical specifications for AI coding agents. <br>• Experience reviewing, validating, and improving AI-generated code. <br>• A deep understanding of where AI-generated code may introduce architectural, security, or scalability risks

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <p><b>We’re Hiring: AI Software Engineer</b></p><p><br></p><p><b>Industry: AI / LLM Systems / Production-Grade Applications</b></p><p><br></p><p><b>About the Role</b></p><p><br></p><p>We are building production-grade AI systems powered by large language models. We are looking for an <b>AI Software Engineer</b> who deeply understands LLM behavior and can design reliable, efficient, and measurable AI systems not just call APIs. You will architect multi-step agent workflows, improve determinism, reduce hallucinations, and build evaluation systems that continuously measure accuracy and performance.</p><p><br></p><p><b>What You’ll Do</b></p><p><br></p><ul><li>Design and implement multi-step agent workflows</li><li>Build robust tool-calling systems for database interactions</li><li>Engineer context systems (schema compression, retrieval pipelines, token budgeting)</li><li>Improve structured output reliability (JSON schemas, function calls, validation)</li><li>Reduce hallucinations and improve model determinism</li><li>Generate and optimize complex SQL queries (joins, CTEs, performance tuning)</li><li>Build evaluation harnesses and regression testing systems for prompts</li><li>Benchmark models (Claude, GPT, Gemini, etc.)</li><li>Optimize token usage and latency</li></ul> </div><h2 class="h5">Skills</h2> <div data-jb-field="skills"><p><b>What We’re Looking For</b></p><p><br></p><p><b>Core Requirements</b></p><p><br></p><ul><li>Deep understanding of LLM behavior (not just API usage)</li><li>Experience with agent frameworks (Claude Agents SDK, LangChain, Agno, etc.)</li><li>Strong prompt and context architecture experience</li><li>Structured outputs and validation systems</li><li>Strong SQL skills (joins, CTEs, performance optimization)</li><li>Strong Python skills</li></ul><p><b>Bonus Points</b></p><ul><li>You’ve shipped an LLM system to production</li><li>You’ve built evaluation systems</li><li>You’ve deployed production conversational chat AIs</li></ul><p><br></p><p><b><span></span>Success Metrics</b></p><p><br></p><p>We care about measurable results:</p><ul><li>Improved model accuracy</li><li>Reduced hallucination rate</li><li>Lower token usage per query</li><li>Faster response times</li><li>Clean, well-reasoned system design</li></ul></div>

<p><h4>Description</h4> <p>Aspire Software is looking for a software engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>We are hiring a mid-level Go engineer to build and operate the microservices at the core of our payments platform. You will own services end to end — from API design and database schema through testing, containerization, and production deployment — in a domain where correctness, security, and reliability are non-negotiable. This is a hands-on building role with clear ownership and room to grow into deeper platform and architecture work.</p> <p>Our services are REST/JSON APIs (Gin) deployed on AWS ECS, with observability handled through internal services today. As we scale the platform, there is real room to help raise the engineering bar — introducing metrics and distributed tracing, structured observability, and stronger CI/static-analysis standards. If you like owning systems and shaping how they are built, you will have that runway here.</p> <p>You will join an engineering team that uses AI-assisted development tools as a standard part of its workflow. We expect engineers to use these tools well — to move faster without sacrificing the rigor that payments demand.</p> <h4>What you'll do</h4> <ul> <li>Design, build, and maintain Go microservices (HTTP APIs, sidecars, and background processors) that handle payment authorization, tokenization, settlement, and reporting.</li> <li>Write clean, well-tested Go: table-driven unit tests, mocked dependencies, and meaningful coverage on the paths that move money.</li> <li>Profile and tune services for high throughput and low latency (pprof, benchmarking) — transaction paths are latency-sensitive.</li> <li>Integrate with relational and NoSQL data stores (MySQL, DynamoDB, PostgreSQL); design schemas, access patterns, and migrations that hold up under load and evolve safely.</li> <li>Build and consume internal service APIs, including service-to-service authentication and shared platform libraries.</li> <li>Containerize services with multi-stage Docker builds and ship them through CI/CD pipelines to cloud infrastructure.</li> <li>Integrate with third-party payment processors and AWS services, handling sensitive data in line with PCI DSS and our security standards (secure coding, data masking, TLS, secrets management).</li> <li>Build reliability into money-movement flows: idempotency, retries, and reconciliation/settlement correctness.</li> <li>Participate in code review, design discussions, on-call rotation, and incident response for the services you own.</li> <li>Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) effectively and responsibly as part of day-to-day work.</li> </ul> <h4>Requirements</h4> <ul> <li>3+ years of professional software engineering experience, with production Go experience among them (mid-level seniority).</li> <li>Bachelor's degree in computer science or a related field, or equivalent practical experience.</li> <li>Solid command of Go fundamentals: concurrency done right (goroutine lifecycle, channel discipline, context-driven cancellation), interfaces, error handling, modules, and the standard library.</li> <li>Experience building and consuming RESTful HTTP APIs, ideally with a Go web framework (we use Gin).</li> <li>Working proficiency with SQL databases (schema design, queries, transactions) — we use MySQL with sqlx.</li> <li>Comfort with Docker and CI/CD pipelines as part of a normal development workflow.</li> <li>Demonstrated experience using AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) in real project work — and good judgment about when to trust, verify, and override their output.</li> <li>Strong testing discipline and the habit of writing maintainable, reviewable code.</li> <li>Clear written and verbal communication, a collaborative and ownership-driven mindset, and comfort working in an agile/iterative team onsite.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Payments / fintech background — payment gateways, card processing, tokenization, PCI DSS, fraud, or financial transaction systems (strongly preferred).</li> <li>Hands-on AWS experience, especially DynamoDB, S3, Secrets Manager, KMS, SSM Parameter Store, ECS, and ECR.</li> <li>Experience with microservices and distributed-systems patterns (service-to-service auth, sidecars, idempotency, retries, observability).</li> <li>Familiarity with NoSQL (DynamoDB) and/or PostgreSQL in addition to MySQL.</li> <li>Experience with secure handling of sensitive data: encryption (AES, KMS), JWT, secrets management, and secure-coding practices (OWASP, data masking, TLS).</li> <li>Payments-domain depth: settlement/reconciliation, idempotency, card-network/scheme familiarity, fraud, or financial transaction systems.</li> <li>Experience introducing observability (metrics, distributed tracing, structured logging) and/or CI quality tooling (static analysis, linting) to a growing platform.</li> <li>Database schema migration and API versioning experience.</li> <li>JavaScript / TypeScript / React — a plus. Our admin and merchant UIs are React 19 + TypeScript + Vite; full-stack contribution is welcome but not required.</li> <li>Experience working in or migrating from a legacy/monolith system toward a modern service architecture.</li> </ul> <h4>Our tech stack</h4> <p>What you’ll actually work with, based on our current codebase.</p> <ul> <li>Language: Go.</li> <li>Web framework: Gin (gin-gonic/gin); some legacy services on raw net/http. REST/JSON (not gRPC).</li> <li>Data: MySQL (go-sql-driver/mysql, jmoiron/sqlx), DynamoDB (AWS SDK v2), PostgreSQL (lib/pq); Redis and Memcached for caching.</li> <li>Cloud & deploy: AWS — ECS, ECR, DynamoDB, S3, Secrets Manager, KMS, ACM, SSM, SES, Cognito (AWS SDK for Go v2).</li> <li>Auth & crypto: internal SvcAuth service-to-service auth, JWT (golang-jwt/jwt), golang.org/x/crypto, AES encryption.</li> <li>Testing: Go's testing, stretchr/testify, DATA-DOG/go-sqlmock.</li> <li>Build & deploy: Multi-stage Docker (golang ? scratch), Makefiles, GitLab CI (Docker-in-Docker), images to private ECR.</li> <li>Frontend (a plus): React 19, TypeScript 5.6, Vite, MUI, Redux Toolkit, Formik, Jest + React Testing Library.</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Aspire Software is looking for a software engineer to join our team in Lebanon.</p> <p>Here is a little window into our company: Aspire Software operates and manages wholly owned software companies, providing mission-critical solutions across multiple verticals. By implementing industry best practices, Aspire delivers a time sensitive integration process, and the operation of a decentralized model has allowed it to become a hub for creating rapid growth by reinvesting in its portfolio.</p> <h4>About the role</h4> <p>We are hiring a mid-level Go engineer to build and operate the microservices at the core of our payments platform. You will own services end to end — from API design and database schema through testing, containerization, and production deployment — in a domain where correctness, security, and reliability are non-negotiable. This is a hands-on building role with clear ownership and room to grow into deeper platform and architecture work.</p> <p>Our services are REST/JSON APIs (Gin) deployed on AWS ECS, with observability handled through internal services today. As we scale the platform, there is real room to help raise the engineering bar — introducing metrics and distributed tracing, structured observability, and stronger CI/static-analysis standards. If you like owning systems and shaping how they are built, you will have that runway here.</p> <p>You will join an engineering team that uses AI-assisted development tools as a standard part of its workflow. We expect engineers to use these tools well — to move faster without sacrificing the rigor that payments demand.</p> <h4>What you'll do</h4> <ul> <li>Design, build, and maintain Go microservices (HTTP APIs, sidecars, and background processors) that handle payment authorization, tokenization, settlement, and reporting.</li> <li>Write clean, well-tested Go: table-driven unit tests, mocked dependencies, and meaningful coverage on the paths that move money.</li> <li>Profile and tune services for high throughput and low latency (pprof, benchmarking) — transaction paths are latency-sensitive.</li> <li>Integrate with relational and NoSQL data stores (MySQL, DynamoDB, PostgreSQL); design schemas, access patterns, and migrations that hold up under load and evolve safely.</li> <li>Build and consume internal service APIs, including service-to-service authentication and shared platform libraries.</li> <li>Containerize services with multi-stage Docker builds and ship them through CI/CD pipelines to cloud infrastructure.</li> <li>Integrate with third-party payment processors and AWS services, handling sensitive data in line with PCI DSS and our security standards (secure coding, data masking, TLS, secrets management).</li> <li>Build reliability into money-movement flows: idempotency, retries, and reconciliation/settlement correctness.</li> <li>Participate in code review, design discussions, on-call rotation, and incident response for the services you own.</li> <li>Use AI-assisted development tools (e.g., GitHub Copilot, Claude Code, Cursor) effectively and responsibly as part of day-to-day work.</li> </ul> <h4>Requirements</h4> <ul> <li>3+ years of professional software engineering experience, with production Go experience among them (mid-level seniority).</li> <li>Bachelor's degree in computer science or a related field, or equivalent practical experience.</li> <li>Solid command of Go fundamentals: concurrency done right (goroutine lifecycle, channel discipline, context-driven cancellation), interfaces, error handling, modules, and the standard library.</li> <li>Experience building and consuming RESTful HTTP APIs, ideally with a Go web framework (we use Gin).</li> <li>Working proficiency with SQL databases (schema design, queries, transactions) — we use MySQL with sqlx.</li> <li>Comfort with Docker and CI/CD pipelines as part of a normal development workflow.</li> <li>Demonstrated experience using AI-assisted development tools (Copilot, Claude Code, Cursor, or similar) in real project work — and good judgment about when to trust, verify, and override their output.</li> <li>Strong testing discipline and the habit of writing maintainable, reviewable code.</li> <li>Clear written and verbal communication, a collaborative and ownership-driven mindset, and comfort working in an agile/iterative team onsite.</li> </ul> <h4>Preferred qualifications</h4> <ul> <li>Payments / fintech background — payment gateways, card processing, tokenization, PCI DSS, fraud, or financial transaction systems (strongly preferred).</li> <li>Hands-on AWS experience, especially DynamoDB, S3, Secrets Manager, KMS, SSM Parameter Store, ECS, and ECR.</li> <li>Experience with microservices and distributed-systems patterns (service-to-service auth, sidecars, idempotency, retries, observability).</li> <li>Familiarity with NoSQL (DynamoDB) and/or PostgreSQL in addition to MySQL.</li> <li>Experience with secure handling of sensitive data: encryption (AES, KMS), JWT, secrets management, and secure-coding practices (OWASP, data masking, TLS).</li> <li>Payments-domain depth: settlement/reconciliation, idempotency, card-network/scheme familiarity, fraud, or financial transaction systems.</li> <li>Experience introducing observability (metrics, distributed tracing, structured logging) and/or CI quality tooling (static analysis, linting) to a growing platform.</li> <li>Database schema migration and API versioning experience.</li> <li>JavaScript / TypeScript / React — a plus. Our admin and merchant UIs are React 19 + TypeScript + Vite; full-stack contribution is welcome but not required.</li> <li>Experience working in or migrating from a legacy/monolith system toward a modern service architecture.</li> </ul> <h4>Our tech stack</h4> <p>What you’ll actually work with, based on our current codebase.</p> <ul> <li>Language: Go.</li> <li>Web framework: Gin (gin-gonic/gin); some legacy services on raw net/http. REST/JSON (not gRPC).</li> <li>Data: MySQL (go-sql-driver/mysql, jmoiron/sqlx), DynamoDB (AWS SDK v2), PostgreSQL (lib/pq); Redis and Memcached for caching.</li> <li>Cloud & deploy: AWS — ECS, ECR, DynamoDB, S3, Secrets Manager, KMS, ACM, SSM, SES, Cognito (AWS SDK for Go v2).</li> <li>Auth & crypto: internal SvcAuth service-to-service auth, JWT (golang-jwt/jwt), golang.org/x/crypto, AES encryption.</li> <li>Testing: Go's testing, stretchr/testify, DATA-DOG/go-sqlmock.</li> <li>Build & deploy: Multi-stage Docker (golang ? scratch), Makefiles, GitLab CI (Docker-in-Docker), images to private ECR.</li> <li>Frontend (a plus): React 19, TypeScript 5.6, Vite, MUI, Redux Toolkit, Formik, Jest + React Testing Library.</li> </ul></p><p></p>

GlobeMed Group, the largest Healthcare Benefits Management company in the MENA region is looking for a Senior AI / ML Engineer who will be responsible for designing, developing, integrating, and deploying AI capabilities across GlobeMed. The role provides senior technical expertise in AI engineering, application development, while working closely with business and technical teams to deliver reliable, scalable, and secure AI capabilities aligned with organizational needs. <br> <br>Duties & Responsibilities: <br> <br> Design and develop AI capabilities, applications, and AI-enabled workflows using modern AI tools and frameworks. <br> Develop and integrate AI agents, APIs, and MCP-based capabilities where applicable. <br> Develop and maintain front-end and back-end components supporting AI applications. <br> Apply AI-assisted coding tools to improve development efficiency and code quality. <br> Evaluate and adopt emerging AI technologies, frameworks, and development practices. <br> Ensure AI solutions are designed with appropriate scalability, reliability, security, and maintainability. <br> Work with ICT teams to ensure appropriate infrastructure, networking, security, and resource requirements are addressed. <br> Monitor and optimize the technical performance and resource utilization of AI environments. <br> Lead technical testing and validation of AI solutions prior to implementation. <br> Evaluate AI solutions for accuracy, reliability, performance, usability, and scalability. <br> Identify technical and functional issues and coordinate their resolution. <br> Establish appropriate testing approaches for AI models, agents, integrations, and applications. <br> Training, evaluating, and fine-tuning ML models on historical data for predictive analysis. <br> <br>Qualifications <br> <br>Education: <br> <br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related technical field. <br> Relevant Master's degree or professional AI/cloud certification is an advantage. <br> <br>Experience/Knowledge: <br> <br> 3-6 years of experience in AI Platforms. <br> Strong hands-on experience developing and deploying AI applications and capabilities. <br> Strong knowledge of modern AI tools, frameworks, APIs, LLMs, and AI development practices. <br> Experience with AI agents, MCPs, and AI integrations. <br> Experience using AI coding and AI-assisted software development tools. <br> Experience working with legacy Databases using SQL. <br> Hands on code knowledge using python or other similar languages. <br> Source Control platform integration example GIT. <br> Previous experience working with microservices <br> Prior work experience with message queues and streaming platforms is a plus. <br> Knowledge of Agile methodology with prior experience on ticketing systems like jira is a plus. <br> Experience working on ML models with hands on experience using platforms like pytorch. <br> Hands on model testing, metrics evaluation, and fine tuning for ML predictive models

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for a Full-Stack Engineer to build our web application end-to-end and bring the MVP to life. You'll own the user-facing product and the backend that supports it, working closely with the AI Engineer to weave intelligent, real-time AI interactions into a smooth, reliable experience.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Build and ship the web application across frontend and backend, from UI components to APIs and data models</li><li>Design and implement a responsive, real-time conversational interface (React, WebSockets/SSE)</li><li>Develop backend services: authentication, session management, data persistence, and third-party integrations</li><li>Integrate AI and multi-agent services into the product in partnership with the AI Engineer</li><li>Design and maintain databases and API contracts that scale with product complexity</li><li>Own performance, reliability, and security across the stack</li><li>Translate product and design requirements into well-tested, maintainable features</li><li>Move fast in an early-stage environment, balancing speed with quality</li></ul><br>Qualifications<br><ul><li>4+ years of full-stack software engineering experience</li><li>Strong proficiency in TypeScript/JavaScript and a modern frontend framework (React preferred)</li><li>Solid backend experience (Node.js, Python, or similar) building and consuming APIs</li><li>Experience designing relational and/or NoSQL data models (PostgreSQL, MongoDB, etc.)</li><li>Familiarity with real-time communication patterns (WebSockets, SSE) and streaming UIs</li><li>Understanding of authentication, authorization, and secure data handling</li><li>Experience integrating third-party APIs, ideally including LLM or AI services</li><li>Comfort owning features end-to-end with minimal oversight</li></ul><br>Additional Information<br><ul><li>Experience building with LLM APIs or AI-powered product features</li><li>Familiarity with cloud platforms (AWS/GCP/Azure) and CI/CD pipelines</li><li>Knowledge of caching, queuing, and background job processing</li><li>Prior early-stage startup or 0-to-1 product experience</li></ul><br><br> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> Job Description<br><p><strong>About the Role</strong></p><br><p>We're looking for an AI Engineer to design, build, and scale the systems that power our AI-driven product. You'll work at the intersection of large language models, multi-agent systems, and production software, turning cutting-edge AI capabilities into reliable, user-facing experiences.</p><br><p><strong>What You'll Do</strong></p><br><ul><li>Design and implement LLM-powered pipelines, including prompt engineering, context management, and response synthesis</li><li>Build and optimize multi-agent orchestration systems where AI components interact, reason, and produce coherent outputs</li><li>Develop and maintain integrations with foundation model APIs (Anthropic, OpenAI, and others), managing latency, cost, and reliability at scale</li><li>Implement retrieval-augmented generation (RAG) and memory systems for persistent, context-aware behavior</li><li>Partner with the Evaluation/QA Engineer to build frameworks that measure output quality, coherence, and factual grounding</li><li>Collaborate with product and design to translate workflows into robust technical experiences</li><li>Ship production features across the stack, from the model layer to the application</li></ul><p>Monitor, debug, and improve system performance, token efficiency, and guardrails</p><br><br>Qualifications<br><ul><li>3+ years of software engineering experience, with hands-on work building LLM-powered applications</li><li>Strong proficiency in Python and/or TypeScript/JavaScript</li><li>Experience with LLM APIs, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex, or custom orchestration)</li><li>Familiarity with vector databases and RAG architectures (Pinecone, Weaviate, pgvector, etc.)</li><li>Understanding of multi-agent systems, tool use, and function calling</li><li>Experience designing evaluation and testing strategies for non-deterministic AI outputs</li><li>Solid grasp of API design, async processing, and scalable backend architecture</li><li>Comfort working in a fast-moving, ambiguous, early-stage environment</li></ul><br>Additional Information<br><ul><li>Experience with real-time streaming (WebSockets, SSE) for conversational interfaces</li><li>Background in fine-tuning, model distillation, or inference optimization</li><li>Familiarity with cloud infrastructure (AWS/GCP/Azure) and CI/CD</li><li>Contributions to open-source AI projects</li></ul><br><br> </div>

Job Description: 3D Front-End Engineer (React Native & WebGL) <br> <br>Role Overview: <br>We are seeking a 3D Front-End Engineer / Creative Technologist to build a responsive, interactive 3D avatar customizer and drill-animation engine for our kid-focused mobile football application. In this role, you will bridge the gap between user experience and 3D graphics, translating assets built by our 3D artist into an interactive mobile experience using React Native and React Three Fiber. <br> <br>Key Responsibilities <br>Avatar Customization Engine: Build a modular system allowing users to swap 3D meshes and textures seamlessly (hair, jerseys, boots, skin tones) via standard React state. <br>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly. <br> <br>Pipeline Collaboration: Work closely with our 3D artist to establish asset optimization constraints (low poly counts, texture atlasing, bone naming conventions) tailored for mobile WebGL performance. <br> <br>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms <br>. <br>Required Technical Skills <br>Proficient in React Native layout design, state management, and component lifecycles. <br>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber. <br>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays. <br>Experience parsing and manipulating GLTF/GLB models dynamically at runtime. <br>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization). <br> <br>Nice-to-Have Skills <br>Experience building software or gamified experiences aimed at children. <br>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist. <br>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines

Job Description: 3D Front-End Engineer (React Native & WebGL) <br>Role Overview: <br>We are seeking a 3D Front-End Engineer / Creative Technologist to build a responsive, interactive 3D avatar customizer and drill-animation engine for our kid-focused mobile football application. In this role, you will bridge the gap between user experience and 3D graphics, translating assets built by our 3D artist into an interactive mobile experience using React Native and React Three Fiber. <br> <br>Key Responsibilities <br>Avatar Customization Engine: Build a modular system allowing users to swap 3D meshes and textures seamlessly (hair, jerseys, boots, skin tones) via standard React state. <br>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly. <br> <br>Pipeline Collaboration: Work closely with our 3D artist to establish asset optimization constraints (low poly counts, texture atlasing, bone naming conventions) tailored for mobile WebGL performance. <br> <br>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms <br>. <br>Required Technical Skills <br>Proficient in React Native layout design, state management, and component lifecycles. <br>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber. <br>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays. <br>Experience parsing and manipulating GLTF/GLB models dynamically at runtime. <br>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization). <br> <br>Nice-to-Have Skills <br>Experience building software or gamified experiences aimed at children. <br>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist. <br>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines

Job Description: 3D Front-End Engineer (React Native & WebGL) <br>Role Overview: <br>We are seeking a 3D Front-End Engineer / Creative Technologist to build a responsive, interactive 3D avatar customizer and drill-animation engine for our kid-focused mobile football application. In this role, you will bridge the gap between user experience and 3D graphics, translating assets built by our 3D artist into an interactive mobile experience using React Native and React Three Fiber. <br> <br>Key Responsibilities <br>Avatar Customization Engine: Build a modular system allowing users to swap 3D meshes and textures seamlessly (hair, jerseys, boots, skin tones) via standard React state. <br>Animation State Machine: Program a flexible skeletal animation controller to read .gltf/.glb bone structures, blending football drills (dribbling, passing, shooting) seamlessly. <br> <br>Pipeline Collaboration: Work closely with our 3D artist to establish asset optimization constraints (low poly counts, texture atlasing, bone naming conventions) tailored for mobile WebGL performance. <br> <br>Performance Tuning: Optimize memory management, garbage collection, and render loops to ensure a stable 60 FPS across both iOS and Android platforms <br>. <br>Required Technical Skills <br>Proficient in React Native layout design, state management, and component lifecycles. <br>Strong commercial experience with Three.js and React Three Fiber / @react-three/fiber. <br>Deep understanding of 3D graphics concepts: mesh manipulation, skeletal rigging, bone weight matrices, PBR materials, and lighting arrays. <br>Experience parsing and manipulating GLTF/GLB models dynamically at runtime. <br>Mastery of mobile performance profiling tools (CPU/GPU boundaries, memory leaks, draw call optimization). <br> <br>Nice-to-Have Skills <br>Experience building software or gamified experiences aimed at children. <br>Basic familiarity with 3D modeling tools like Blender to easily audit assets provided by the artist. <br>Knowledge of pre-built avatar ecosystems like Ready Player Me or Mixamo pipelines

Position: Outdoor Sales Engineer <br>Employment Type: Full -time <br> <br>Tasks and Responsibilities: <br>• Collaborate with sales teams to understand customer requirements by promoting the company's product and providing sales support. <br>• Take responsibility for relevant assigned projects. <br>• Visit customers and deliver presentation to promote the company’s products and services and to negotiate sales agreements. <br>• Collects, organizes, and assembles data for reports, presentations and/or special projects. <br>• Assists customers in answering technical questions on systems, client products, and system application alternative, installation, operation, maintenance, and problem resolution. <br>• Attend project negotiation meetings through the various stages of the project. <br>• Designing, drawing air conditioning system and deliver technical presentations to customers that fit their needs. <br>• Record details of inquiries, complaints, or comments, as well as actions taken. <br>• Develop strong relationship with clients. <br>• Coordinate pricing policies with the sales manager and the management team. <br>Skills: <br>• Technical Skills: understanding the inner working of Air Conditioning system. <br>• Communication: communicating with others to convey information effectively. <br>• Customer service: interacting with customers to communicate effectively about their needs. <br>• Computer skills: MS Office, AutoCAD <br>Related Experience: <br>• 1-3 year of experience in sales and engineering and a work experience in the AC industry along with some technical background. <br>Education: <br>• A Bachelor’s degree in Mechanical Engineering <br>Abilities: <br>• Oral and Written Comprehension – the ability to listen and read to and understand information and ideas presented through spoken words and in writing. <br>• Oral & Written Expression: the ability to communicate information and ideas in speaking and writing so others will understand

Job Summary: <br>We are looking for a highly skilled AI Engineer with 2 to 5 years of experience to design, develop, and deploy cutting-edge AI and machine learning solutions. <br>In this role, you will work with large datasets, build intelligent models, and drive innovation by leveraging advanced AI techniques. <br>You will collaborate with cross-functional teams to integrate AI capabilities into business applications, ensuring scalability, efficiency, and real-world impact. <br>If you have a strong foundation in machine learning, deep learning, and AI-driven problem-solving, and you're eager to push the boundaries of technology, we want to hear from you. <br>Job Responsibilities: <br>• Develop, train, and deploy machine learning models to solve business challenges. <br>• Work with large datasets to extract insights, clean, and preprocess data. <br>• Optimize model performance, accuracy, and efficiency. <br>• Design and implement AI algorithms for task, computer vision, or predictive analytics. <br>• Collaborate with data scientists, software engineers, and business stakeholders to integrate AI solutions. <br>• Stay up to date with the latest advancements in AI/ML and apply innovative techniques. <br>• Ensure scalability and efficiency of AI solutions in production environments. <br>• Troubleshoot and fine-tune models for performance improvement. <br>Required Qualifications & Skills: <br>• Education: Bachelor’s degree in computer science, AI, Data Science, Data Analytics or a related field. <br>• Experience: 2-5 years of hands-on experience in AI/ML development, power BI, copilot studio, generative AI, and AI agent <br>• Proficiency in Python, experience with large datasets, data preprocessing, and feature engineering. <br>• AI Specialization: Strong understanding of deep learning <br>• Problem-Solving: Ability to analyse complex problems and implement AI-driven solutions. <br>• Strong communication skills to work effectively with cross-functional teams

<p>As a Cloud Software Engineer - Full Stack Developer, you are responsible for designing, developing, and maintaining both frontend and backend components of cloud-based applications. You will create scalable and efficient solutions that meet the needs of our users, in addition to working with modern cloud technologies, implementing features, and ensuring the overall performance, security, and usability of our applications. Design, develop, and maintain both frontend and backend components of cloud-based applications. Implement user-facing features and user interfaces that are responsive, visually appealing, and intuitive. Develop server-side logic and APIs. Design and develop cross-platform mobile applications using React Native. Ensure the performance, quality, and responsiveness of the applications. Collaborate with designers and product managers to implement user-friendly interfaces. Leverage cloud platforms (such as AWS, Azure, Google Cloud) to build, deploy, and manage applications. Implement serverless and microservices architectures for improved scalability and performance. Collaborate with UI/UX designers to ensure seamless integration of design elements and user experience. Work with product managers and other stakeholders to understand requirements and translate them into technical solutions. Design and implement databases, ensuring data integrity and optimal performance. Write and optimize database queries to retrieve and manipulate data efficiently. Implement security best practices to ensure the confidentiality, integrity, and availability of user data. Optimize application performance for speed and scalability, considering both frontend and backend aspects. Set up and manage automated deployment pipelines to ensure rapid and reliable releases. Implement testing strategies to validate the functionality and performance of the application. Identify and resolve bugs, bottlenecks, and performance issues in the application. Conduct thorough testing and debugging of the application at various stages of development. Stay up to date with emerging technologies, trends, and best practices in cloud computing and full stack development. Propose innovative solutions to enhance the architecture, scalability, and performance of applications.</p><p><strong>Desired Candidate Profile</strong></p><ul><li>Bachelor's degree in Computer Science, Software Engineering, or related field (Master's preferred).</li><li>Proven experience as a Full Stack Developer or similar role, with a focus on cloud-based applications.</li><li>Experience with cloud platforms like AWS, Azure, or Google Cloud, including services like EC2, Lambda, S3, DynamoDB, etc.</li><li>Strong understanding of database design and management (SQL, NoSQL).</li><li>Familiarity with RESTful APIs, microservices architecture, and containerization (Docker, Kubernetes).</li><li>Knowledge of version control using Git and collaboration using platforms like GitHub or GitLab.</li><li>Proficiency in programming languages such as JavaScript (Node.js, React, Angular, or Vue) and backend languages (Python, Java, Ruby, etc.).</li><li>Understanding of Agile development methodologies and DevOps practices.</li><li>Excellent problem-solving skills and the ability to work effectively in a collaborative team environment.</li><li>Strong communication skills to effectively convey complex technical concepts to both technical and non-technical team members.</li><li>Proficiency in written and spoken English with outstanding abilities to communicate in person, in writing, and over the phone.</li><li>Excellent time management and organizational skills.</li></ul>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p><br></p><p><b>About the Role</b> Are you passionate about building scalable, reliable data platforms that power business decisions and customer experiences? As a Senior II Data Engineer at Toters, you'll design and build modern data infrastructure that enables reliable, real-time and batch data processing across the organization. You'll own the design and delivery of complex data pipelines, influence technical decisions within your domain, and help establish engineering best practices that improve the scalability, reliability, and maintainability of our data platform. Working closely with Software Engineers, Product Managers, Analytics, and Machine Learning teams, you'll help transform high-volume operational data into trusted, high-quality data products that drive business impact.</p><p>In this role, you will:</p><ul><li>Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.</li><li>Design, build, and maintain reliable batch and streaming data pipelines that support analytics, operational systems, and machine learning workloads.</li><li>Develop scalable data ingestion frameworks capable of processing high-volume event and transactional data.</li><li>Design and optimize data models that enable efficient analytics while supporting long-term maintainability.</li><li>Build resilient streaming solutions while balancing throughput, latency, reliability, and operational cost.</li><li>Develop and maintain modern data lakehouse architectures using cloud-native technologies and distributed data platforms.</li><li>Design schemas and data contracts that promote consistency, governance, and interoperability across systems.</li><li>Improve platform observability by implementing monitoring, alerting, data quality validation, and operational dashboards.</li><li>Troubleshoot production issues, participate in incident response, perform root cause analysis, and implement long-term improvements.</li><li>Optimize storage, compute, and data movement costs while maintaining platform performance and reliability.</li><li>Participate in architecture discussions and contribute to technical decisions that improve scalability and system resilience.</li><li>Create reusable frameworks, tooling, and engineering patterns that improve developer productivity and platform consistency.</li><li>Conduct thoughtful code reviews and share constructive feedback to maintain high engineering standards.</li><li>Mentor junior engineers through technical guidance, design discussions, and knowledge sharing.</li><li>Collaborate with Software Engineering, Product, Analytics, and Machine Learning teams to deliver scalable, high-quality data solutions.</li></ul><p>Key Qualifications</p><p>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</p><p>6+ years of experience designing and building production-grade data platforms or distributed data systems.</p><p>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</p><p>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</p><p>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</p><p>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</p><p>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</p><p>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</p><p>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</p><p>Familiarity with analytical query engines such as ClickHouse or Trino.</p><p>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</p><p>Experience with modern data transformation frameworks such as dbt is a plus.</p><p>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</p><p>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</p><p>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</p><p>Passion for building reliable, scalable, and maintainable data platforms.</p><p>Nice to Have</p><p>Experience building large-scale streaming architectures using Apache Flink.</p><p>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</p><p>Experience implementing CDC pipelines using Debezium or similar technologies.</p><p>Experience using dbt for transformation and analytics engineering workflows.</p><p>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</p><p>Experience deploying infrastructure using Terraform and Kubernetes.</p><p>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</p><p>Experience working in high-growth technology companies or on-demand marketplace platforms.</p><p>Why Toters?</p><p>Flexible work environment with hybrid-friendly roles.</p><p>Opportunity to work on a modern, cloud-native data platform that powers products used by thousands of customers every day.</p><p>Collaborate with talented engineers while growing your technical expertise and career.</p><p>Strong culture of mentorship, collaboration, and continuous learning.</p><p>Opportunity to solve complex engineering challenges involving streaming, distributed systems, and large-scale data processing.</p><p>Direct impact on business-critical products and engineering decisions.</p><p>Competitive compensation package.</p><p>Exclusive discounts on Toters orders.</p><p>First-class medical insurance.</p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>6+ years of experience designing and building production-grade data platforms or distributed data systems.</li><li>Strong SQL skills and deep understanding of data modeling, including dimensional modeling (facts and dimensions).</li><li>Hands-on experience building production data pipelines using distributed streaming platforms such as Apache Kafka, Amazon Kinesis, or Apache Pulsar, with experience in partitioning, consumer groups, schema management, delivery semantics, and troubleshooting production streaming systems.</li><li>Strong understanding of batch and streaming data processing concepts, including event time, processing time, windowing, stateful processing, and the trade-offs of exactly-once processing.</li><li>Proficiency in Python and/or JVM languages such as Java or Scala for building scalable data processing applications.</li><li>Experience designing and operating modern data lake or lakehouse architectures using Amazon S3 or equivalent object storage, Parquet, and open table formats such as Apache Iceberg, Delta Lake, or Apache Hudi.</li><li>Experience building cloud-native data infrastructure on AWS, Google Cloud Platform (GCP), or Microsoft Azure, including object storage, streaming and messaging services, IAM, networking, and cost optimization.</li><li>Experience working with distributed processing frameworks such as Apache Flink or similar streaming technologies.</li><li>Familiarity with analytical query engines such as ClickHouse or Trino.</li><li>Experience implementing Change Data Capture (CDC) solutions using Debezium or similar technologies.</li><li>Experience with modern data transformation frameworks such as dbt is a plus.</li><li>Familiarity with Infrastructure as Code using Terraform, containerization with Docker, and orchestration platforms such as Kubernetes is a plus.</li><li>Experience owning production systems, participating in on-call rotations, and resolving production data incidents.</li><li>Strong communication skills with the ability to document technical decisions, collaborate across teams, and mentor engineers.</li><li>Passion for building reliable, scalable, and maintainable data platforms.</li><li>Experience building large-scale streaming architectures using Apache Flink.</li><li>Hands-on experience with Apache Iceberg, ClickHouse, or Trino in production environments.</li><li>Experience implementing CDC pipelines using Debezium or similar technologies.</li><li>Experience using dbt for transformation and analytics engineering workflows.</li><li>Experience with AWS data services such as MSK, S3, Glue, or Kinesis.</li><li>Experience deploying infrastructure using Terraform and Kubernetes.</li><li>Exposure to Machine Learning feature stores or Customer Data Platforms (CDPs).</li><li>Experience working in high-growth technology companies or on-demand marketplace platforms.</li></ul><p></p></section>