• Develop and maintain streaming services, microservices, and serverless architectures (primarily AWS Lambda) to support high-volume messaging. • Work closely with Product Managers and fellow engineers to translate business requirements into technical implementations. • Recognize and articulate technical debt, planning and executing clear paths to address these challenges while participating in on-call rotations to ensure production stability. • Lead by example through detailed code reviews, advocating for best practices, and ensuring thorough testing of all work. • Stay current with industry trends and introduce innovative techniques or emerging technologies that provide technical value. • Provide technical guidance to other engineers.

• Design and build backend services using Python that power robotics operations, data flows, and internal tools. • Architect and implement scalable, reliable APIs and backend systems used by web applications and robotics infrastructure. • Design database models and data pipelines using PostgreSQL to support operational and product workflows. • Plan and break down backend projects into clear implementation steps and well-structured pull requests. • Own backend features and services end-to-end, from architecture decisions to production deployment. • Integrate backend systems with React-based web applications and Node.js services when required. • Build and maintain systems that prioritise reliability, observability, and fault tolerance. • Work with AWS and DevOps infrastructure to deploy, operate, and scale backend services. • Investigate and troubleshoot complex production issues across services, data systems, and infrastructure. • Write clear technical documentation describing system behaviour, architecture decisions, and operational processes. • Use AI tools effectively to accelerate development, debugging, and technical research while maintaining high engineering standards.

• Responsible for implementing, and maintaining critical database systems (PostgreSQL) which support a growing 24x7 SAAS platform • Supports the ongoing database ETL, warehousing, reporting and analytical needs of the organization • Ensures the database design and operations support the availability, scalability, and recoverability needs of the business • Performs tuning and capacity management to ensure the database meets the performance needs of the business • Guides and provides direction to developers and engineers on database development, design principles, query optimization, and index management in a fully automated deployment pipeline • Ensures all infrastructure solutions and operational activities adhere to the security and operating policies established by the organization • Provides on-call coverage for production support and other duties as required

• Design and build scalable backend systems, APIs, and microservices with FastAPI; • Write high-quality backend code using Python, SQL, async/await, and solid OOP principles; • Apply software best practices to ensure reliability, scalability, and on-time delivery; • Implement dependency injection, layered architectures, and SOLID design patterns; • Integrate Azure OpenAI (GPT-4, GPT-4 Vision) with robust retry and error handling; • Build LLM observability with Langfuse (prompts, tokens, cost, latency); • Develop prompt management with versioning, fallbacks, and cost optimization strategies; • Orchestrate async workflows using Celery for complex pipelines; • Design multi-tenant architectures with strict data isolation; • Integrate third-party APIs (Veeva Vault, Adobe PDF Services, OCR); • Troubleshoot systems using structured logging and distributed tracing; • Document APIs and changes using OpenAPI/Swagger.