Top Tech Jobs & Startup Jobs in Boston, MA

Designs, implements, administers, and supports critical Linux infrastructure and enterprise systems. Diagnoses system issues, develops remediation plans, supports application infrastructure, and contributes to compliance activities. Builds automation, deployment pipelines, and infrastructure-as-code solutions using Linux, cloud, Kubernetes, GitOps, and configuration-management tools. Partners with engineering, security, and operations teams to improve reliability, scalability, security, and deployment efficiency while mentoring junior engineers.

Leads enterprise data architecture strategy, modernization, and multi-year platform roadmaps. Defines standards for data models, ingestion, transformation, orchestration, quality, governance, observability, and consumption across batch and streaming environments. Provides technical leadership to data engineering and analytics teams, oversees scalable data solutions, mentors technical leaders, and partners with business, engineering, security, and data science stakeholders. Evaluates technologies, guides vendor selection, enables data products, and explores GenAI applications.

Designs, develops, and maintains complex software test automation frameworks, tools, libraries, and performance tests. Integrates automated testing into CI/CD pipelines, analyzes test results, enforces coding standards, reviews code, troubleshoots issues, and mentors junior engineers. Collaborates cross-functionally to support quality releases and develops reusable testing solutions using modern programming languages, cloud platforms, containerization, API testing, and automation technologies.

Drive discovery, strategy, experimentation, roadmap development, and delivery for technical insurance products. Conduct user research, prioritize opportunities, define metrics, create requirements and acceptance criteria, coordinate sprint planning, track delivery, manage dependencies, and support releases. The role partners closely with Design, Engineering, Product Analytics, and business stakeholders across rating, underwriting, servicing, and claims workflows.

Designs and operates reliable hybrid application platforms, leading CI/CD, infrastructure automation, cloud resource management, monitoring, security scanning, container orchestration, and database self-service tooling. The role owns the enterprise CI/CD technology stack and hosting strategy across on-premises, hybrid, and cloud environments. It requires extensive collaboration with engineering, infrastructure, security, application, QA, and governance teams, along with 24/7 mission-critical support and technical leadership.

Oversee homeowners package underwriting performance, profitability, risk selection, pricing, compliance, and service quality. Manage and develop underwriting staff through coaching, feedback, training, and performance management. Maintain underwriting procedures, review automation rules, support product and system enhancements, oversee testing, collaborate with agents and internal teams, and drive process improvements, efficiency, growth, and profitability.

Leads test engineering strategy for complex software projects, designing and executing manual and automated tests across UI and API layers. Builds scalable Java and Selenium automation frameworks, integrates testing into CI/CD pipelines, reviews test strategies and cases, analyzes defects and testing metrics, drives continuous improvement, and mentors QA engineers. Collaborates with development, product, and business teams to ensure comprehensive coverage, product quality, and risk reduction.

Staff Network Engineer responsible for designing, integrating, automating, and supporting complex on-premises and multi-cloud network environments. The role leads network and cloud connectivity projects, develops infrastructure-as-code and automation, troubleshoots high-severity incidents, optimizes network performance and costs, maintains engineering documentation, and mentors network engineers. Responsibilities include routing, switching, security, load balancing, observability, capacity modeling, cloud integration, and 24x7 mission-critical support.

Develops retention, churn, and customer lifetime value models using statistical analysis and machine learning. Responsibilities include extracting and preparing structured and unstructured data, performing ad hoc analyses, creating dashboards and reports, automating analytical procedures, monitoring implemented models, and presenting findings to cross-functional business, IT, and management teams.

Leads Mercury’s cross-line AI/ML research capability across insurance products. Responsibilities include setting strategy, building a research tooling team, modernizing workflows, developing model monitoring and AI infrastructure, establishing responsible AI guardrails, partnering across technology and data science teams, driving adoption, and coaching talent. The role requires strong quantitative, insurance analytics, Python, machine learning, generative AI, and LLM evaluation expertise, along with substantial people and cross-functional leadership experience.