Top Tech Jobs & Startup Jobs in Boston, MA

The Actuary will analyze ratemaking and customer data, lead regulatory filings, build models with GLM and machine learning, automate workflows with Python, and collaborate cross-functionally on product development in a remote environment.

Design and implement backend test automation frameworks and scripts; create and execute integration, regression, and performance tests; analyze requirements and design end-to-end test scenarios; manage test cases in TestRail; integrate tests with CI/CD; collaborate across teams, mentor engineers, and participate in Agile/scrum and software quality audits.

Implement and maintain AWS cloud standards, IaC patterns, and CI/CD automation to enable developer self-service. Support containerized workloads, monitoring, security/compliance, troubleshooting, documentation, and participate in on-call rotation to ensure reliable, cost-efficient cloud platform operations.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

The Vice President of Product will lead the product vision, strategy, and performance across Quanata, ensuring alignment with client needs and market opportunities while fostering collaboration and innovation within the team.

As an SDET, you'll develop and maintain test automation frameworks, ensure API quality, collaborate with teams, and mentor others in testing practices.

The Senior Product Manager is responsible for leading cross-functional teams to develop insurance platforms, manage product discovery, and deliver against strategic business outcomes while collaborating closely with engineering and data science teams.

The Senior Back End Engineer will develop and enhance critical services, manage APIs, optimize application architecture, and mentor junior engineers.

The Technical Program Manager II will drive delivery optimization and manage high-impact initiatives, ensuring alignment with organizational goals through effective program management.

The Senior Data Engineer will lead MLOps efforts to streamline model delivery and data processing, implementing automation throughout the machine learning lifecycle and enhancing collaboration between data scientists and engineers.