Top Senior Level Software Engineer Jobs in Boston, MA

Configure and enhance SAP reporting solutions for the OneGL finance environment, supporting financial close processes. Analyze business requirements, develop CDS views and reports, document architecture, coordinate module dependencies, create test scripts, investigate defects, and support implementation, cutover, training, and production users. Collaborate with technical and business stakeholders across internal and offshore teams while establishing global reporting standards and improving SAP finance processes.

Leads complex software and data engineering initiatives across a digital and customer data portfolio. Designs data architectures, models, pipelines, integrations, analytics collection platforms, and provisioning workflows using cloud and distributed technologies. Provides technical leadership, collaborates with stakeholders and engineering teams, guides agile delivery, establishes engineering standards, improves data quality and efficiency, supports implementations, and mentors engineers. Focus areas include full-stack development, digital analytics tagging, backend services, AWS, Java, Kafka, Kubernetes, and CI/CD.

Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.

Owns end-to-end architecture for Klaviyo’s marketing, sales, and customer experience systems. The role designs integrations, data models, governance, reporting, and AI-agent workflows across Salesforce and related platforms. It combines executive-level technical strategy with hands-on development using Apex, LWC, Flow, SOQL, integrations, and AI orchestration. The architect will redesign GTM processes around AI, ship production solutions, advise senior leadership, establish engineering standards, and mentor GTM Systems teammates.

Leads a team of software developers and a portfolio of technology projects focused on risk management and regulatory solutions. Builds and deploys cloud-based, AI-powered full-stack applications using distributed microservices and modern databases. Collaborates with product managers and cross-functional partners, mentors engineers, evaluates code, drives technology adoption, and oversees robust solutions using AWS and related technologies.

Build and operate backend-focused production software, APIs, integrations, databases, distributed systems, and asynchronous workflows. Develop AI-enabled and agentic systems with retrieval, tool use, evaluation, permissions, observability, and reliability controls. Own products from definition through iteration, collaborate with data engineering, data science, and SRE, make pragmatic technical tradeoffs, and mentor engineers.

Design, build, optimize, and maintain Bevi’s Java and Kotlin backend platform for connected beverage machines. Develop APIs and telemetry services, manage cloud deployments, monitor system health, troubleshoot complex issues, and improve scalability and reliability. Collaborate with product and hardware teams, guide architecture, review code, promote testing practices, mentor engineers, manage third-party integrations, and participate in Agile/Scrum development.

Lead the Purchase team, mentor engineers, drive AI-native practices, manage product development, and define consumer-facing AI solutions for CarGurus.

Lead end-to-end technical initiatives for an IoT cloud platform, shaping architecture, strategy, and roadmap. Build and scale React/TypeScript frontends, Python backends, cloud infrastructure, databases, and data systems. Improve developer experience, operate production systems, establish engineering standards, mentor engineers, and influence technical direction across teams. Collaborate closely with product and design while delivering reliable systems for monitoring, debugging, and updating connected devices.

Design, architect, build, and deliver core identity and access management services for MongoDB Atlas. Lead complex technical projects from specification through delivery, improve engineering practices and code quality, define priorities, and mentor team members. The role focuses on authentication, authorization, backend systems, and secure customer-facing IAM features while supporting FedRAMP requirements.

Design, develop, and optimize scalable backend services, APIs, middleware, and core platform components. Build hospital-system integrations, improve performance for high-volume medical data, maintain monitoring and observability, and automate deployment pipelines and infrastructure. Support live customer integrations, implement enhancements, and contribute to system architecture, reliability, and cost efficiency across cloud-native, containerized environments.

Lead managed services integration and middleware delivery: supervise and mentor team members, ensure service quality and incident resolution, drive continuous improvement, design client-specific integration solutions, manage projects and stakeholder coordination, and maintain data integrity and API/connection point troubleshooting.