Top Engineering Jobs in Boston, MA

Design, build, and operate foundational platform services to improve availability, scalability, latency, and efficiency. Enable product teams via platform primitives (infra, databases, queuing), leverage Python, Go, AWS, Kubernetes, and Terraform, and mentor engineers to deliver resilient, scalable systems and improved developer experience.

Lead and mentor a team of Data Engineers to deliver scalable customer-focused data solutions. Provide hands-on technical ownership, set architectural and engineering standards, advance AI-enabled development practices, and collaborate cross-functionally to improve data foundations, reporting, and delivery.

Lead and scale global security engineering across application, AI, cloud, corporate, SecOps, and red team domains. Define secure architecture and governance, drive automated threat detection and AI security, personally perform adversarial testing, coordinate incident response and regulatory readiness, and report security posture to executives while building a high-performing team.

Lead strategy and execution for a next-generation Strategic Trade Management platform. Define architecture, drive cloud-native modernization, build and mentor engineering teams, partner with trading, risk, and business leaders, champion AI-enabled delivery, and ensure regulatory, resiliency, and operational excellence across trade lifecycle, pricing, risk, and settlement capabilities.

Lead and grow a platform engineering team to modernize build systems, CI/CD, developer tooling, cloud-native infrastructure, IaC, automation, and AI-enabled engineering capabilities. Drive delivery of strategic platform initiatives, improve developer productivity and platform reliability, manage technical debt, and partner cross-functionally to align engineering priorities with business goals.

Manage onshore and offshore software engineers to deliver scheduled releases. Coordinate with Architects, Product, QA, and Release Management; drive integrations, interoperability, security remediation, and incident response for distributed, microservices-based web applications.

Lead engineering for Cloud Observability across multiple cloud providers, managing ~40 engineers via Engineering Managers. Shape roadmap with product leadership, drive AI adoption, navigate cross-team dependencies, build and retain talent in NYC/Boston/Paris, mentor EMs, and participate in on-call rotations.

Lead a team to operate and scale CarGurus' data platform across ingestion, orchestration, storage, and observability. Own roadmap, SLAs, cost, security, and quality controls; improve developer experience; collaborate with product and stakeholders to prioritize initiatives, resolve incidents, and drive platform reliability and scalability.

Lead design and prototyping of AI-enabled solutions for Oncology R&D. Develop data pipelines, feature engineering, analytics, and ML models on healthcare data. Partner with scientific and product teams to deliver usable tools, emphasize rapid iteration and production-readiness, and contribute to engineering standards and documentation.

Orchestrate the global Forward Deployed Engineering pre-sales pipeline across modernization and net-new opportunities. Manage intake, scheduling, discovery workshops, technical deep-dives, engagement timelines, resource coordination, deal velocity tracking, pipeline reporting, and bottleneck mitigation. Support the Engagement Manager and Director with executive presentations, enablement sessions, meeting preparation, and stakeholder alignment while establishing scalable processes for predictable FDE engagements.

Lead design and implementation of OT/ICS cybersecurity solutions for industrial environments. Manage client engagements and teams, mentor junior staff, develop strategic cybersecurity plans, assess risks to critical infrastructure, ensure compliance, and drive continuous improvement and innovation.

Owns global Forward Deployed Engineering program governance, including modernization deal scoping, LOE calculators, SOPs, pre-sales to post-sales handoffs, SOW inputs, and enablement programs. The role coordinates Solution Engineering, Professional Services, Partners, Sales, and Product Management while improving processes, maintaining scoping frameworks, supporting customer-facing sales calls, and using delivery feedback to optimize operations.

Leads the engineering team building Webflow’s code-native platform, including high-fidelity visual-to-code workflows and coding-agent integration. Sets technical and product direction, shapes architecture, owns developer experience, sequences platform and customer-facing work, and partners across product, design, and engineering. This player-coach role includes architecture reviews, prototyping, hands-on contributions, hiring, coaching, and developing a high-performing technical culture.

Design and implement complex, accessible front-end components and a reusable design system. Architect UI solutions, prototype interactions, mentor engineers, improve design-to-development workflows, and build performant, responsive interfaces and marketing pages for a legal AI platform.

Own and harden core platform infrastructure on GCP, build and maintain CI/CD and IaC, unify logging and observability, enforce network and environment isolation, improve developer productivity and tooling, and help define platform engineering direction and culture.

Lead analytics engineering for Revenue, Marketing, and Finance by building scalable data solutions, data models, and dashboards; provide training and consultation, support ad hoc data needs, and translate technical findings into executive-level insights to improve operational performance.

Lead and grow a 5–10 engineer autonomy integration team for V-BAT/X-BAT, owning delivery, hiring, mentoring, and technical health. Drive integration of autonomy software (mission behaviors, VTOL transitions, multi-agent coordination), collaborate tightly with aircraft, perception, and capability teams, run ICDs and field tests, and support live exercises and deployments (20–30% travel).

Define and operationalize company-wide engineering design standards for aerospace programs (VBAT, XBAT). Standardize CAD, drawing quality, design/analysis workflows, documentation, EBOM/MBOM handoffs, and configuration management. Partner with engineering leaders to scale engineering excellence, influence cross-discipline design decisions, and improve consistency without blocking execution.

Lead and build Deepgram's AI enablement function: prototype and ship reusable agents, MCP servers, paved-road workflows, prompt and retrieval patterns, and an enablement hub. Drive company-wide AI adoption with measurable productivity metrics, embed safe-use guardrails, partner across Platform, Security, Data, and People Ops, and grow a central team and distributed champions network.

Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.

Lead and grow a Security Platform engineering team to design and operate centralized identity and access services (IdP integrations, SSO, authorization frameworks). Define roadmap, partner cross-functionally, and drive adoption of secure-by-default access controls across products.

Manage and coach a regional Sales Engineering team to qualify and close deals for Datadog Security and observability products. Partner with sales, deliver demos, support technical evaluations/POCs, recruit and onboard SEs, coordinate with product/support, run performance reviews, and drive pre-sale customer success.

Lead the Platform Firmware team at Samsara, driving hardware program execution, managing firmware engineers, and collaborating with various stakeholders for high-quality hardware delivery.

Lead one or more backend engineering teams responsible for core platform services, APIs, data stores, and distributed systems. Drive operating cadence, technical direction, scalability, reliability, and debt reduction. Partner with product and cross-functional stakeholders, participate in architectural decisions, hire and develop engineers, and ensure predictable delivery and high-quality solutions at scale.

Lead Oncology AI product strategy and a cross-functional AI engineering team to translate scientific needs into scalable AI solutions across discovery, clinical development, and real-world evidence. Define roadmaps, governance, success metrics, stakeholder engagement, and adoption to move AI initiatives from pilots to sustained impact.