Top Tech Jobs & Startup Jobs in Boston, MA

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.

Develop and maintain web applications across the full stack using Java/Spring Boot backend and Angular frontend. Build microservices, design RESTful APIs, integrate frontend components, work with Kafka and AWS S3 as needed, and collaborate with cross-functional teams to troubleshoot and deliver solutions throughout the SDLC.

Build and maintain scalable Python/FastAPI backend services, integrate generative AI and LLMs, implement RAG/vector DB semantic search, design agent-based workflows, develop APIs and microservices, enable async/event-driven processing, support cloud-native deployments (Docker/Kubernetes), and collaborate across frontend, DevOps, and product teams to deliver secure, observable AI-driven employee support platform.

Design, build, and scale production-ready generative AI systems: multi-agent workflows, advanced RAG pipelines, LLM integration and fine-tuning, scalable FastAPI backends, Dockerized deployments, monitoring, and GenAI optimization for latency, cost, and reliability.

Develop and maintain scalable Python backend applications and RESTful APIs. Optimize performance, design and manage SQL/NoSQL schemas, implement security/authentication, write tests, automate CI/CD tasks, and collaborate with front-end, product, and QA teams.

Lead end-to-end delivery of complex cross-functional programs across the payfac and platform stack. Coordinate product, engineering, design, and developer experience teams to deliver API-based products, documentation, SDKs, and platform expansions into new segments. Manage plans, milestones, risks, go-to-market readiness, partner onboarding, and implement scalable program practices.