Top Tech Jobs & Startup Jobs in Boston, MA

The Backend Engineer will develop infrastructure for product integration, create documentation for team training, and influence technology decisions.

Lead end-to-end onboarding for PEO clients: build implementation plans for payroll, benefits, tax registrations and HR compliance; manage timelines, parallel payroll reconciliations, platform adoption, cross-functional handoffs, and continuous improvements to implementation tooling and documentation.

Build and productionize AI systems for logistics: multi-agent copilots, forecasting/optimization models, evaluation and observability, continuous learning loops, and operational reliability. Mentor engineers and make build-vs-rule tradeoffs while shipping high-impact ML services.

Lead backend Java development and architecture for enterprise applications. Design and deliver scalable, resilient microservices and APIs, mentor developers, lead technical decisions, support production incidents, and implement CI/CD and cloud-native solutions on AWS.

Lead product strategy and roadmap across Archive's retail resale platform. Own prioritization, drive AI-first product decisions, partner tightly with Engineering and cross-functional teams, hire and develop the product org, and deliver measurable business outcomes (GMV, supply, demand, margin).

Lead architecture and delivery of enterprise DDI solutions (Infoblox-focused) including migrations, upgrades, re-architecture, and lifecycle engineering. Produce design artifacts, testing and cutover plans, and guide long-term DDI strategy. Support pre-sales with demos, discovery, POCs, solution design, and RFP/RFI responses while partnering with Account Executives to capture new business.

Lead and execute StarCompliance's data and AI strategy: build a governed data foundation, deliver production-grade LLM and ML capabilities (RAG, semantic search, vector DBs), establish MLOps, and grow a cross-functional Data & AI team aligned with product and business priorities in a regulated financial environment.

Evaluate life insurance applicants end-to-end, focusing on mortality risk. Order and review underwriting requirements, enter medical history data, finalize cases, and make advanced risk-selection decisions while meeting productivity, quality, and performance standards.

Execute, monitor, and optimize high-velocity social and digital ad campaigns across major platforms. Support campaign setup, reporting, and performance analysis using Salesforce, DSPs, and internal tools. Collaborate with cross-functional teams, present insights, and use Excel/Google Suite to manipulate data and improve media spend efficiency.

Design, run, and improve CI/CD systems and developer workflows for a Kubernetes-based polyglot monorepo. Build fast, reliable pipelines, local-to-prod developer paths, observability for builds, and partner with product teams to raise release quality and delivery velocity.