Job Description:

• We are looking for a Senior Software Engineer to design, build, and scale our logistics and fulfillment platform. This role will focus on systems that power order fulfillment, inventory flow, warehouse operations, delivery orchestration, shipment tracking, routing, batching, queue-based processing, and operational visibility. You will work closely with Product, Design, Operations, Data, and Engineering teams to solve complex business problems in a high-volume, real-world logistics environment. The ideal candidate is a strong full-stack or backend-leaning engineer who can translate ambiguous business requirements into reliable, scalable, and maintainable software systems. This is a high-ownership role. You will contribute to architecture decisions, improve engineering practices, mentor other engineers, and help evolve the platform to support business growth, automation, and AI-assisted workflows.

Key Responsibilities:

• Design, develop, test, deploy, and maintain large-scale software systems for logistics, fulfillment, warehouse, inventory, and delivery operations.
• Build reliable backend services, APIs, queue-based workflows, event-driven processes, and internal tools using TypeScript, PostgreSQL, Docker, and related technologies.Develop responsive and maintainable user interfaces using React, while following established design systems, UX patterns, and design guidelines.
• Partner with Product Managers, Designers, Operations, and Business stakeholders to understand fulfillment workflows and turn business needs into practical technical solutions.
• Design scalable data models, service boundaries, queue processing flows, and system integrations that support high-volume operational use cases.
• Improve platform reliability through observability, monitoring, automated testing, performance optimization, and incident prevention.
• Write and maintain unit tests, integration tests, and automated test coverage for backend services, frontend components, and critical fulfillment workflows.
• Use AI tools responsibly to improve development speed, code quality, testing, debugging, documentation, and technical discovery.
• Lead technical design discussions, review code, mentor engineers, and promote engineering best practices across the team.
• Analyze production issues, identify root causes, and implement durable fixes for system reliability and operational efficiency.
• Continuously improve engineering workflows, developer experience, code quality, deployment safety, and long-term platform maintainability.

Required Qualifications

• 5+ years of professional software engineering experience, with strong ownership of production systems.
• Strong experience with TypeScript and modern application development.
• Hands-on experience with React for building complex web applications, dashboards, internal tools, or operational platforms.
• Strong backend engineering skills, including API design, service design, data modeling, and asynchronous processing.
• Experience with PostgreSQL, including schema design, query optimization, indexing, migrations, and production troubleshooting.
• Experience with queues or messaging systems, such as BullMQ, RabbitMQ, Kafka, SQS, Pub/Sub, or similar technologies.
• Experience using Docker for local development, testing, deployment, or containerized services.
• Solid understanding of large-scale software design, including scalability, reliability, fault tolerance, maintainability, idempotency, retries, and failure handling.
• Strong testing mindset, with practical experience writing unit tests, integration tests, and automated tests.
• Ability to understand and apply design systems, component libraries, accessibility principles, and design guidelines when building product interfaces.
• Strong problem-solving ability, especially in ambiguous, complex, or cross-functional business domains.
• Fast learner with the ability to quickly understand new systems, business flows, technical constraints, and operational processes.
• Good business understanding, especially the ability to connect technical decisions to customer experience, operational efficiency, cost, speed, and fulfillment accuracy.
• Strong communication skills and ability to work effectively with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience building logistics, fulfillment, warehouse management, inventory, delivery, marketplace, e-commerce, supply chain, or operations platforms.
• Experience with event-driven architecture, distributed systems, workflow orchestration, or high-throughput background processing.
• Experience designing systems for order lifecycle management, shipment tracking, routing, batching, dispatching, SLA monitoring, or exception handling.
• Experience improving system performance, database latency, queue throughput, and operational reliability.
• Experience working in a product engineering environment with close collaboration between Engineering, Product, Design, and Operations.
• Experience using AI-assisted development tools such as ChatGPT, GitHub Copilot, Cursor, Claude, or similar tools in a professional engineering workflow.
• Experience mentoring engineers, leading technical initiatives, and driving engineering standards.

Technical Stack:

1. Frontend: React, TypeScript
2. Backend: TypeScript, Node.js or equivalent TypeScript runtime
3. Database: PostgreSQL
4. Asynchronous Processing: Queue-based systems, background jobs, event-driven workflows
5. Infrastructure / DevOps: Docker, CI/CD, observability tools
6. Testing: Unit tests, integration tests, automated tests
7. Product / Design: Design system, component library, UX guidelines, accessibility awareness
8. AI Tools: AI-assisted coding, debugging, testing, documentation, and productivity workflows

Core Competencies:

1. Technical Ownership: Takes full ownership of features and systems from discovery to production. Makes sound technical decisions, manages trade-offs, and ensures solutions are maintainable after launch.
2. Large-Scale System Design: Can design systems that support high transaction volume, asynchronous workflows, operational reliability, and future business growth. Understands how to structure services, queues, data models, APIs, and failure recovery mechanisms.
3. Problem Solving: Breaks down complex logistics and fulfillment problems into clear technical components. Identifies root causes, evaluates options, and delivers practical solutions under real-world constraints.
4. Business and Domain Understanding: Understands how logistics and fulfillment systems affect customer experience, cost, delivery speed, warehouse productivity, inventory accuracy, and operational efficiency.
5. Product and User Experience Mindset: Builds software that is usable, consistent, and aligned with design systems. Understands that internal tools and operational platforms must be fast, clear, reliable, and easy for business users to operate.
6. Quality and Testing Discipline:Writes reliable tests and designs systems that are easy to validate. Uses unit tests, integration tests, automated tests, and structured test scenarios to reduce production risk.
7. AI-Enabled Engineering Productivity: Uses AI tools effectively and responsibly to accelerate implementation, generate test cases, review code, explore alternatives, document systems, and improve productivity without sacrificing code quality or security.
8. Fast Learning and Adaptability: Quickly learns new business processes, technical systems, tools, and operational workflows. Comfortable working in fast-changing product environments.
9. Collaboration and Communication: Works effectively with engineers, product managers, designers, operations teams, and business stakeholders. Communicates technical ideas clearly and can explain trade-offs to non-technical audiences.
10. Engineering Leadership: Mentors other engineers, improves team practices, contributes to code reviews, and raises the quality bar for architecture, testing, documentation, and delivery.