Top Tech Jobs & Startup Jobs in Boston, MA

Lead an engineering product team building account management, portfolio tracking, and wealth management platforms. Provide technical leadership and architecture guidance, manage schedules and vendors, mentor engineers, drive DevOps and observability practices, collaborate with product and stakeholders, and own operational readiness and incident escalation. Hands-on data engineering experience with AWS, Python, Lambda, and Postgres is valued.

Lead enterprise strategy and engineering to defend against AI-powered threats. Design detection, prevention, and response architecture for adversarial AI, integrate controls into cyber tooling, build threat models, prototype defensive AI, and mentor teams while influencing leadership and vendor selection.

Lead architecture and implementation of scalable, resilient insurance application systems across Life, Health, and Annuity. Drive technical strategy, design integrations, mentor engineers, evaluate vendors, and ensure reliable CI/CD, DevOps, and platform standards while collaborating with product, underwriting, and cross-functional teams.

The Staff Engineer will lead architectural direction for cross-cutting initiatives, mentor teams, design systems, and drive software integration, focusing on API modernization and cloud transformation.

As a Principal Engineer, you will set the engineering vision, lead technical direction, and drive strategy across enterprise platforms, focusing on developer experience and scalability. Responsibilities include designing solutions, collaborating across teams, establishing engineering standards, and mentoring other engineers, all while ensuring alignment with broader business goals.

The Staff Engineer will design and implement scalable engineering solutions, mentor teams, develop software integration patterns, and lead technical strategy to meet customer needs.

Lead definition and delivery of an MVP for a new digital financial-planning offering. Translate vision into roadmap, work hands-on with engineering and design, run experiments and user research, define KPIs, use prototypes and data to validate assumptions, and align stakeholders through ambiguity. Identify opportunities to apply AI and balance customer, technical, and business tradeoffs.