Top Hybrid Software Engineer Jobs in Boston, MA

Lead Perk’s go-to-market engineering function, owning its architecture, tooling, automation roadmap, and commercial impact. Build production workflows in Clay and modern LLM and agent platforms, integrate CRM and revenue systems, and code in Python, SQL, SOQL, or TypeScript. Automate prospecting, sales productivity, and account management processes across global teams. Lead a senior international team, establish engineering standards, partner with Sales and Revenue Operations leadership, and measure outcomes against revenue metrics.

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

Develop and operate scalable, resilient Autoship platform services and applications using frontend and backend technologies. Responsibilities include designing distributed systems, building microservices and APIs, deploying prototypes, debugging, code reviews, testing, DevOps practices, and collaborating across teams to improve automation and operational processes.

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.

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.

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.

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.

Build developer-experience tooling and frameworks for efficient development, testing, packaging, and rapid production releases. Lead release tooling design, establish quality feedback loops, improve engineering workflows through qualitative and quantitative feedback, and promote effective engineering practices. Collaborate with product managers, designers, and engineers to enhance developer productivity and satisfaction while contributing to team and process growth.