Top Software Engineer Jobs in Boston, MA

Leads AWS-native application engineering initiatives across architecture, development, testing, deployment, and modernization. Sets technical direction, oversees multiple delivery workstreams, guides AI-enabled engineering practices, and develops scalable cloud solutions. Builds executive client relationships, shapes transformation roadmaps, supports business development, mentors engineering teams, and drives application performance, security, reliability, and cloud modernization across AWS and other major cloud platforms.

Design, develop, test, and deliver enterprise software solutions for Tax clients. Collaborate with teams and clients to gather requirements, implement APIs and integrations, apply CI/CD, perform code reviews, troubleshoot and optimize applications, and support quality assurance practices.

Lead the architecture and development of software platforms, frameworks, APIs, and automation tools for audio measurement, DSP, embedded systems, rapid prototyping, and algorithm development. Integrate desktop environments with embedded processors, DSPs, instrumentation, and prototype hardware. Improve engineering workflows, debug end-to-end audio systems, ensure software quality and maintainability, and mentor engineers across Bose.

Design, develop, implement, integrate, test, and demonstrate advanced autonomy algorithms and software for unmanned platforms. Build backend-focused full‑stack systems for mission planning, multi-agent collaboration, control, DevSecOps, and CI/CD pipelines across prototypes to integrated systems.

Develop and implement software solutions for national security applications involving estimation theory, prediction, target tracking, analytics, and system resource management. Collaborate with multidisciplinary teams to create maintainable code and APIs, using C++, Python, Java, Linux, containers, and related technologies. The role is primarily onsite in Woburn, Massachusetts and requires an active Top Secret clearance with SCI eligibility.

Design, build, maintain, and operate mission-critical analytics infrastructure and distributed systems at scale. Create technical designs, write high-quality code, provision cloud infrastructure, review designs and code, and mentor engineers. The role requires collaboration across teams, production system ownership, high-volume data processing, and solving complex technical problems in a fast-growing environment.

Leads technology projects and engineering teams building large-scale, distributed, cloud-native systems for risk and compliance technology. Provides technical leadership across teams, shapes architecture and platform roadmaps, mentors engineers, and drives reliable, high-performance implementations. Partners with product leaders and architects while using modern programming languages, cloud platforms, microservices, databases, containers, APIs, observability, CI/CD, and infrastructure-as-code practices.

Leads Liberty Mutual’s People, Purpose & Brand technology strategy, transformation, portfolio, and approximately 125-person organization. Oversees modernization of HR platforms, employee experience systems, data, AI, integrations, security, architecture, vendors, and resilient operations. Owns approximately $50 million in annual investment, partners with executives on priorities and tradeoffs, drives engineering excellence and product-centric delivery, and develops an inclusive, high-performing technology organization through sustained transformation.

Design, scale, and operate Husky, Datadog’s petabyte-scale distributed columnar event store. Migrate storage to open standards including Parquet, Arrow, and DataFusion; improve compaction, compression, indexing, caching, and storage tiering; support event versioning and Iceberg-based analytical workloads; collaborate across ingestion, metadata, platform, and Lakehouse teams; and contribute to open-source software.

Designs and develops scalable, concurrent software for HPE’s Alletra enterprise storage platform using modern C++ and Linux. Responsibilities include building distributed storage features, debugging performance and reliability issues, creating automated tests, participating in architecture and code reviews, integrating technologies, and mentoring engineers. The role requires expertise in systems infrastructure, multithreaded programming, algorithms, data structures, and software architecture.

Build and operate Java and Spring Boot backend services that enrich automotive leads, process high-volume event streams, and power dealer APIs. Responsibilities include technical design, implementation, testing, code review, production support, observability, and on-call participation. The role also involves developing LLM-backed intelligence features, collaborating with product and design, and improving deployment and operational practices.

Lead the Cloud Platform engineering team responsible for scaling and operating nRF Cloud, an IoT platform supporting millions of devices. Own reliability, performance, infrastructure, databases, security, observability, and the technical roadmap. Manage team productivity, culture, hiring, and cross-functional alignment while remaining hands-on through architecture, code reviews, and production debugging. Drive platform excellence, sustainable on-call practices, and pragmatic technical investment.