Top Senior Level Software Engineer Jobs in Boston, MA

Leads full-stack software engineering teams and portfolios, setting technical strategy, mentoring engineering leaders, and delivering large-scale distributed and cloud-native systems. Responsibilities include managing Agile teams, defining technology roadmaps, partnering with product and architecture leaders, driving enterprise alignment, overseeing architecture and implementation, and supporting succession planning. The role uses modern programming languages, cloud platforms, databases, containers, CI/CD, and automated testing while occasionally coding or reviewing code.

Leads diverse technology projects and developer teams building cloud-based, full-stack risk management solutions. Provides technical direction across Agile teams, defines architecture and service integrations, mentors engineers, establishes engineering standards, and drives system performance and technical debt reduction. Develops distributed microservices and APIs using modern programming languages, databases, containers, AWS services, AI tools, CI/CD, and observability practices.

Leads full-stack engineering teams and a portfolio of technology projects within Risk Tech. Responsibilities include setting technical strategy, mentoring engineering leaders, delivering cloud-native distributed systems, partnering on roadmaps, managing multi-team Agile programs, and aligning engineering execution with enterprise goals. The role involves technologies including Java, Python, JavaScript, TypeScript, AWS, Docker, Kubernetes, databases, and AI-powered solutions.

Lead complex enterprise AI deployments and go-live support engagements, build shared tooling, maintain deployment playbooks, mentor engineers, establish quality standards, capture deployment knowledge, and partner with product and engineering teams to improve customer outcomes. The role requires hands-on software engineering, customer-facing delivery, AI feature and GenAI model integration, prompt engineering, and production-quality development.

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 operate production microservices that deploy predictive and generative AI models for insurance claims. Build AWS-based event-driven and API integrations with claims platforms, feature pipelines, orchestration, monitoring, and evaluation frameworks. Partner with data scientists and product teams, own production support and on-call responsibilities, translate requirements into technical designs, and improve system performance, quality, and reliability.

Develop and operate scalable DNS control-plane software and network services. Build APIs, improve customer-facing products, troubleshoot performance and monitoring issues, and collaborate across networking teams. Responsibilities include testing, optimization, reliability improvements, architecture best practices, and supporting mission-critical cloud infrastructure using Go, Kubernetes, Docker, gRPC, Kafka, and related technologies.

Lead software engineering teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Build prototypes and high-performance user interfaces, translate operator requirements into features, integrate systems and APIs, and conduct deployment and field testing in secure operational environments. Collaborate with customers and technical teams while ensuring reliability, quality, and performance.

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.

Design, build, optimize, and maintain Bevi’s Java and Kotlin backend platform for connected beverage machines. Develop APIs and telemetry services, manage cloud deployments, monitor system health, troubleshoot complex issues, and improve scalability and reliability. Collaborate with product and hardware teams, guide architecture, review code, promote testing practices, mentor engineers, manage third-party integrations, and participate in Agile/Scrum development.