Top Senior Level Software Engineer Jobs in Boston, MA

Lead the engineering team to develop Tulip's new agent-native app-building product, managing technical architecture and fostering AI-driven development practices.

Lead and grow a senior SaaS engineering team; hire, mentor, and set engineering standards. Drive cross-functional delivery with product and design, ensure testing, observability, and multicloud deployments, and architect systems that integrate generative/agentic AI while cultivating an AI-first culture.

Senior SAP Reporting Configuration Engineer to configure and support SAP finance reporting, build CDS views, develop and test reporting solutions, support month-end close, troubleshoot defects, document architecture, and collaborate with onshore/offshore teams and stakeholders.

Designs and develops full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, databases, AI workflows, and predictive models. Collaborates with data scientists, data engineers, product managers, and stakeholders to build data pipelines, automate testing, support applications through their lifecycle, and reduce technical debt. The role includes API development, LLM orchestration, agent workflows, search systems, context engineering, observability, and agile solution delivery.

Design and deliver developer tooling, frameworks, reusable templates, AI-assisted development infrastructure, authentication and identity platforms, and cloud-native services. Build and operate Java and AWS systems using Spring Boot and Kubernetes, establish engineering standards and guardrails, improve reliability and performance, and lead complex technical projects. Partner across teams to drive adoption, alignment, and measurable engineering productivity outcomes.

Develop end-to-end full-stack solutions using front-end and back-end technologies, optimize existing products, and lead key Customer Hub initiatives. The engineer will make technical decisions, evaluate trade-offs, deploy reliable and tested software, mentor teammates, conduct code reviews, and drive projects in an agile environment. The role focuses on personalized ecommerce shopper experiences and expects effective, responsible use of AI in software development.

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.

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.

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.

Build and scale WHOOP AI platform systems and member-facing experiences across the frontend and backend. Design scalable web applications, APIs, and intuitive interfaces; contribute to agent orchestration architecture; translate business requirements into reliable solutions; write tested code; and monitor, debug, and improve production performance and stability. Collaborate with product managers, designers, data scientists, and other cross-functional partners in a fast-paced environment.

Leads multiple engineering teams, owning software delivery, SDLC quality, people management, strategic alignment, resource planning, incident governance, and team development. Partners with Product and business stakeholders on prioritization, estimation, communication, execution, and performance metrics. The role requires experience with large-scale, low-latency distributed systems, agile delivery, DevOps, CI/CD, automated testing, infrastructure as code, distributed teams, and scalable data technologies.

Leads Agent Assist, Workflow, and Tooling engineering teams; sets technical strategy; architects scalable customer-care systems; delivers AI/ML solutions; oversees modernization, DevOps, security, reliability, roadmap planning, and cross-functional execution. Builds and mentors engineering managers and senior engineers while driving operational excellence and improved customer and agent experiences.