Top Senior Level Software Engineer Jobs in Boston, MA

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, microservices, APIs, data pipelines, predictive models, and GenAI workflows. Collaborates with data scientists, engineers, product managers, and stakeholders to build, test, maintain, and support applications throughout their lifecycle. Responsibilities include API and data architecture, automated testing, technical debt reduction, backlog refinement, observability, and engineering excellence.

Build and improve software, platforms, and operational frameworks for incident response, on-call readiness, post-mortem learning, and engineering resilience. Lead incident-process design, facilitate reviews, mentor engineers, train on-callers, and drive cross-functional reliability initiatives. The role requires experience with distributed systems, Kubernetes, incident analysis, on-call operations, and software development primarily in Go and Python, with some TypeScript.

Leads multiple software engineering teams and sets technical strategy for scalable, resilient cloud platforms. Responsibilities include mentoring engineers and managers, guiding architecture and design standards, overseeing full-stack development, deploying applications to AWS, modernizing monoliths into microservices, improving engineering practices and delivery velocity, and partnering with product and executive leaders. The role also owns talent strategy, succession planning, workforce development, and technical health across engineering organizations.

Leads full-stack software engineering teams and technology portfolios supporting risk and GRC solutions. Responsibilities include managing developers, setting technical strategy, driving cloud-native distributed-system design, mentoring engineering leaders, partnering with product and architecture teams, defining roadmaps, and delivering large-scale initiatives. The role involves JavaScript and TypeScript ecosystems, multiple programming languages, AWS and other cloud platforms, microservices, databases, Kubernetes, AI-enabled solutions, and enterprise technical governance.

Leads multiple technology projects and engineering teams building large-scale, distributed, cloud-native systems. Provides architectural and technical leadership, establishes engineering standards, shapes platform roadmaps, and delivers reliable full-stack solutions. Collaborates with product managers, architects, and technology leaders while mentoring engineers and driving enterprise-wide technical strategy. The role uses modern programming languages, cloud platforms, databases, containers, observability, CI/CD, and AI-assisted development tools.

Leads complex enterprise AI deployments and go-live engagements, owns deployment playbooks and shared tooling, mentors engineers, captures reusable deployment knowledge, establishes quality standards, and partners with product and engineering teams. The role requires hands-on software engineering, customer-facing delivery, AI and GenAI integration, prompt engineering, and executive-level communication.

Develop and maintain scalable control-plane software for DigitalOcean’s network products. Responsibilities include building APIs and microservices, implementing and optimizing services, troubleshooting customer issues, supporting existing products, improving development processes, and contributing to architecture and engineering best practices. The role involves end-to-end SDLC ownership, CI/CD deployment, distributed systems, containerized workloads, and collaboration across networking teams.

Owns the full lifecycle of operational software products, from concept through production. Builds and tests reliable, user-focused features; scales prototypes; triages issues and identifies root causes; and partners with product teams, mission engineers, architects, and end users to deliver effective solutions. The role requires strong React, TypeScript, and Python skills, performance optimization experience, and collaboration across technical and non-technical stakeholders.

Design, develop, test, and troubleshoot high-performance routing protocol software focused on BGP and data center networking. Write C/C++ code, improve automation and test coverage, develop proofs of concept, resolve complex customer issues, and collaborate with global engineering teams on architecture, scalability, performance, and reliability.

Develop and implement software solutions using Java, Python, and JavaScript; design scalable applications and microservices; conduct code reviews; apply CI/CD and ATDD practices; analyze business requirements; manage testing and troubleshooting; and support digital integration and architecture initiatives. The role also involves client collaboration, relationship building, mentoring junior team members, and applying AI-human collaboration to improve software capabilities and user experiences.

Owns end-to-end architecture for Klaviyo’s marketing, sales, and customer experience systems. The role designs integrations, data models, governance, reporting, and AI-agent workflows across Salesforce and related platforms. It combines executive-level technical strategy with hands-on development using Apex, LWC, Flow, SOQL, integrations, and AI orchestration. The architect will redesign GTM processes around AI, ship production solutions, advise senior leadership, establish engineering standards, and mentor GTM Systems teammates.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.