Top Hybrid Software Engineer Jobs in Boston, MA

Leads software engineering projects and developer teams building distributed microservices and full-stack cloud solutions. Collaborates with product managers, mentors engineers, evaluates emerging technologies, and delivers robust systems supporting regulatory needs and customer experiences. Uses Python, TypeScript, JavaScript, Java, SQL, Go, AWS, databases, Docker, and Kubernetes. Requires a bachelor’s degree, four years of software engineering experience, and one year of cloud experience.

Leads software engineering projects and developer teams building distributed microservices and full-stack, cloud-based solutions for risk management and regulatory compliance. Responsibilities include coding and code evaluation, mentoring engineers, collaborating with product managers, adopting emerging technologies, and developing systems using Python, TypeScript, React, AWS, databases, Docker, and Kubernetes.

Lead a team of software developers and a portfolio of technology projects focused on regulatory risk solutions. Build distributed microservices, full-stack systems, and cloud-based applications using modern programming languages, databases, containers, and AWS services. Mentor engineers, evaluate emerging technologies, collaborate with product managers, and deliver resilient solutions in an agile environment.

Part-time internship to learn and configure ServiceNow through training and mentorship. Work on real customer projects, write and test scripts, attend meetings and SCRUM, troubleshoot configurations, and pursue certifications.

Build and improve end-to-end web and mobile product features for MedTech sales teams. Collaborate with customers, product managers, designers, and engineers; use data to optimize performance and identify enhancements; explore scalable technologies; contribute to engineering processes and culture; and mentor developing engineers. The role emphasizes full-stack development across multiple technologies and agentic AI development practices.

Develop software solutions for Assurance client engagements, participating in architecture, design, coding, testing, maintenance, and code reviews. Collaborate with project teams to create scalable systems, apply computer science and engineering principles, interpret data, and provide technical insights. The role emphasizes learning, innovation, client service, teamwork, adaptability, and using AI and emerging technologies to improve financial reporting and decision-making processes.

Leads engineering teams developing automation and robotic process automation solutions while advancing responsible AI-enabled transformation. Partners with product, operations, and technology leaders to modernize service processes, reduce manual effort, improve quality, and deliver employee and customer value. Responsibilities include managing complex technology development, optimizing teams, applying technology standards, building cross-functional consensus, and translating emerging technologies into practical business solutions.

Build and operate production software for active clinical trials, including clinical-system integrations, trial data flows, site activation, monitoring, and signal detection. Design AI-native agents and pipelines with auditability, provenance tracking, and human review in regulated GxP environments. Own multi-quarter technical initiatives, collaborate with clinical, regulatory, QA, data, and infrastructure teams, mentor engineers, and improve validated software delivery workflows.

Develop scalable customer-facing features and internal developer-experience tools for Chewy’s e-commerce platform. Responsibilities include system architecture, automation, observability, CI/CD, monitoring, testing, code reviews, agile collaboration, mentoring junior engineers, and production troubleshooting through on-call rotations.

Lead the architecture and evolution of AI-enabled, cloud-native software platforms. Evaluate emerging AI, machine learning, cloud, and architecture technologies; define scalable reference architectures; guide data, model integration, monitoring, security, governance, and responsible AI practices; communicate technical strategies; review implementations; and mentor engineering and architecture teams on modern development and AI-assisted engineering.

Build backend systems for ingesting, processing, and exposing health record data from EHRs and third-party platforms. Develop secure APIs, scalable data pipelines, and services that normalize and validate sensitive healthcare data. Collaborate with product, data science, and engineering teams, while contributing to code reviews, testing, documentation, privacy, security, and access control practices.

Owns resilience, performance, scalability, and operational cost improvements for a cloud-native platform. Designs and delivers full-stack solutions, builds monitoring and analysis capabilities, performs architectural and code reviews, and resolves complex production issues. The role requires pragmatic modernization judgment, AI-assisted development experience, customer or user accountability, and participation in a weekend on-call rotation.