Top Tech Jobs & Startup Jobs

Own product vision and roadmap for a cloud-native data platform on GCP. Translate business needs into epics and user stories, prioritize ETL/ELT, databases, streaming, and BI work, coordinate onshore/offshore teams, ensure data governance, quality, and analytics readiness, and drive adoption of Snowflake and DOMO-based analytics.

Design, build, and scale production Generative AI applications including multi-agent systems, advanced RAG pipelines, and local/frontier LLM deployments. Implement high-performance backends with FastAPI and async Python, fine-tune and quantize models, integrate vector databases and retrieval systems, and deploy/monitor containerized AI services for reliability, latency, and cost optimization.

Design, build, and maintain ETL/ELT data pipelines and orchestration using Airflow, Python, and PySpark. Develop custom connectors, implement DataOps and CI/CD for data workflows, monitor and troubleshoot pipelines, validate data quality, and document processes while collaborating with cross-functional teams and supporting large-scale distributed data systems.

Lead development of a unified payments platform covering pay-ins, payouts, merchant acquiring, settlement, routing, and reconciliation. Produce PRDs, user stories, API specifications, process maps, and transaction journeys. Partner with engineering, QA, UI/UX, and data teams to deliver scalable payment orchestration, manage backlog and releases, support UAT and operationalization, and integrate AI-driven product enhancements.

Design, develop, test, release, and maintain high-performance React web applications and APIs. Collaborate with product, design, backend, and QA teams; write reusable code and unit/integration tests; implement CI/CD and automated testing; mentor junior developers and troubleshoot performance across browsers and devices.

Lead system architecture for large-scale backend and platform systems across application, integration, data, and cloud layers. Define standards, review designs, guide teams, resolve technical risks, and influence platform direction while ensuring scalability, security, resiliency, and production readiness.

Design, build, and deploy agentic AI and multi-agent systems using LangChain/LangGraph and ADKs. Implement LLM orchestration, RAG pipelines, vector DBs, React-based AI interfaces, and production-grade infrastructure with observability, security, and optimization.

Design and document consistent software architecture across the engineering organization, guide architecture decisions, support developers on design issues, implement and improve core infrastructure and SDLC, develop technical/business approaches and tools, resolve technical roadblocks, and perform performance characterization and trade-off studies.

Lead migration from AEM 6.5 to AEMaaCS: assess implementations, architect cloud-native components, manage content migration with CTT, redesign dispatcher, implement CI/CD via Adobe Cloud Manager, modernize integrations, train teams, and provide post-migration support and technical documentation.

Lead design and delivery of domain-driven mobile applications using React Native. Define architecture, integrations (message queues, event streaming, API gateways), CI/CD with Azure DevOps, automated testing, and observability. Mentor teams, write clear user stories, apply XP/DDD and value-based prioritization, reduce technical debt, and collaborate with stakeholders to align delivery with business outcomes.