Top Software Engineer Jobs in Boston, MA

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Build and deploy production software, data products, automation, and AI solutions for business teams. Embed with stakeholders to understand workflows, solve ambiguous operational problems, integrate enterprise data, and deliver reliable applications from concept through adoption. Responsibilities include testing, deployment, monitoring, security, documentation, AI validation, user support, and measuring commercial impact.

Lead technical direction for Surety underwriting platform modernization using React, TypeScript, NestJS, and AWS. Design scalable systems, guide architecture and technical decisions, support contractor-led delivery teams, mentor engineers, and align product, engineering, and delivery stakeholders. The role balances hands-on technical work with principal-level leadership across complex enterprise modernization initiatives.

Serve as a hands-on cloud architect for the Engineering Platform organization. Design AWS-based system architectures, build Terraform and application prototypes, establish reusable cloud-native patterns, and guide SaaS maturity, security, compliance, resilience, cost management, and AI workloads. Partner with engineering teams and AWS architects, improve self-service infrastructure and governance, document technical decisions, influence technical direction, mentor senior engineers, and lead cloud-native workshops.

Build, ship, and operate full-stack product features using React and C#/.NET Core or Python. Participate in design discussions, evaluate technical tradeoffs, prototype solutions, review code, improve testing and observability, respond to production alerts, and maintain software throughout its lifecycle. Collaborate across engineering squads while contributing to infrastructure, CI/CD, developer experience, and technical debt reduction.

Lead technical vision and architecture across engineering domains, decompose complex problems, and ensure scalable, operable implementations. Modernize monolithic systems into microservices and event-driven platforms, define API and platform standards, and guide cross-divisional initiatives. Provide hands-on technical contributions while mentoring engineers, promoting engineering excellence, recruiting talent, and communicating technical knowledge across the organization.

Lead developer infrastructure initiatives, including dependency management, platform upgrades, build and CI improvements, engineering standards, AI tooling, and platform reliability. Partner cross-functionally with engineering and security teams to deliver scalable backend platform changes. Diagnose systemic issues, reduce developer toil, improve engineering velocity, and shape the technical roadmap while contributing hands-on across Python, Go, and infrastructure technologies.

Develop, integrate, test, debug, document, and maintain software supporting advanced analytics, machine learning, and intelligence workflows. Implement APIs, services, data-processing tools, and user interfaces; participate in testing, code reviews, secure development, integration, and operational support. Collaborate with engineers and researchers to deliver reliable capabilities and improve existing systems.

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, 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.