Top Software Engineer Jobs in Boston, MA

Develop and operate Husky, a petabyte-scale distributed columnar event store. Lead migration to Parquet and DataFusion, improve compaction, compression, indexing, storage tiering, caching, and cost efficiency. Scale event versioning with temporal database techniques, collaborate across ingestion, metadata, platform, and lakehouse teams, and help define service operations. Contribute to open-source software and support analytical workloads through Iceberg-compatible integrations.

Provides hands-on technical leadership for scalable full-stack web applications and core platform services. Designs architecture, develops and deploys secure software, resolves distributed-system issues, mentors engineers, and collaborates across product and QA teams. Integrates LLMs, AI-assisted workflows, and agentic capabilities into .NET and Python systems while applying responsible AI practices. Contributes to technical documentation, quality standards, regulatory compliance, and the full software development lifecycle.

Design, develop, deploy, and maintain scalable customer-facing software, APIs, workflows, and data-driven services. Define technical requirements, create implementation plans, automate and test releases, review code and architecture, and drive technical decisions. The role includes mentoring engineers, identifying technical gaps, maintaining engineering excellence, and serving as a product-domain expert while collaborating with product managers, data scientists, team leads, and managers.

Leads the architecture, development, and evolution of Pfizer’s global Medical Insights platform. Translates regional and business needs into scalable technical requirements, sequences roadmap work, coordinates infrastructure and technology partners, and evaluates new data sources, analytics methods, and AI approaches. Partners with stakeholders to deliver platform value, guide technical decisions, and support change management. Requires strong cross-functional influence, technical communication, and experience building data or analytics platforms in pharmaceutical, life sciences, or technology environments.

Develop, deploy, document, and support full-stack web applications, APIs, integrations, and automation solutions. Build Vue.js and JavaScript interfaces, Python backend services, RESTful APIs, relational database integrations, and AWS-hosted applications. Collaborate across product, QA, infrastructure, security, and business teams in an Agile environment. Troubleshoot production issues, follow secure development practices, and apply AI, LLM, and workflow automation concepts to improve business processes.

Software engineering interns contribute to production features across Kensho teams, including machine-learning applications, APIs, services, platform abstractions, observability, deployment, and data ingestion systems. Interns participate in code reviews, production deployments, infrastructure as code, testing, documentation, and continuous learning while collaborating with experienced engineers. The role requires algorithm and data-structure knowledge, at least one technical area of expertise, adaptability, and practical projects or open-source experience.

Lead a small engineering team while remaining hands-on, guiding software development from design through delivery. Build new products and scale existing systems, establish technical excellence, collaborate with platform engineers and domain experts, and work directly with customers and end users to deliver decision-making platforms for defense and airspace safety.

As a Software Engineer III, you will design, build, and enhance high-complexity components, mentor team members, and collaborate on projects, ensuring high-quality code and customer-centric solutions.

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Develops regulatory technology, collaborates with product managers, evaluates code, mentors engineers, and drives technology modernization using modern programming languages, databases, containers, orchestration platforms, and cloud services.

Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.