Top Tech Jobs & Startup Jobs in Boston, MA

Design and build Java-based, messaging and microservice applications. Lead API design, cloud/container solutions (Docker, Kubernetes, AWS/Azure), CI/CD, and relational database development (DB2/Oracle). Provide technical leadership, mentoring, code reviews, and resolve cross-technology roadblocks. Work on blockchain and digital asset solutions (Ethereum, Solana) and smart contracts (Solidity, Rust, Move) within financial services.

Design and build Java/J2EE solutions using Spring and APIs; develop webservices, DB schemas, PL/SQL and transactional SQL in DB2/Oracle; collaborate with architects, developers and DevOps to implement CI/CD (Jenkins, uDeploy), ensure code quality (Sonar), perform code reviews and testing, resolve technical roadblocks, and drive process improvements. Requires strong communication and teamwork.

Design, build, and deploy production Generative AI applications: orchestrate multi-agent workflows, implement advanced RAG with vector DBs, integrate and fine-tune LLMs, develop scalable FastAPI/async backends, containerize with Docker, and optimize GenAI systems for latency, cost, and reliability.

Build and maintain automated test suites and perform manual testing to ensure product quality. Train squads on test management, improve test coverage, troubleshoot data issues, and promote strong quality practices within Agile teams.

Design visually compelling digital interfaces and marketing-driven user experiences. Produce wireframes, high-fidelity mockups, and interactive prototypes. Apply and extend design systems, collaborate with creative, marketing, product, and development teams, present design rationale, and iterate quickly in fast-paced marketing cycles.

Design and implement high-performance Angular frontends for AI-driven interfaces: real-time SSE/WebSocket streaming, complex state with Signals/NgRx, Chain-of-Thought visualizations, human-in-the-loop controls, performance optimization, API schema collaboration, and testing.

Perform hands-on data governance: identify root causes using information management tools and data sources, collaborate with data owners and architects, define governance rules and values, embed governance tests into ETL, engage vendors and stakeholders, and establish/report on data governance metrics and continuous improvements.

Design, build, and deploy production-grade ML and AI systems end-to-end, combining classical ML, deep learning, and LLM/agentic integrations. Implement MLOps, monitoring, CI/CD, model serving, vector search/RAG pipelines, and scalable APIs; mentor engineers and drive engineering best practices.

Lead systems analysis for complex integration initiatives in the brokerage/finance domain. Gather and document requirements, create user stories and process flows, evaluate system designs, provide middleware/API/backend technical analysis, mentor junior analysts, and drive resolutions across concurrent initiatives within an Agile environment.

Design, build, and execute automated tests for native mobile and WebView user journeys, APIs, and integrations. Perform performance and reliability testing for critical APIs and transactions, run tests on cloud device farms, analyze failures across devices/OS versions, participate in sprint planning, test design, defect triage, and collaborate with developers to resolve quality issues early.