Top Tech Jobs & Startup Jobs in Boston, MA

Own the product roadmap for AI-powered insurance customer experiences, translating strategy into shipped capabilities. Responsibilities include stakeholder and demand management, problem framing, success-metric definition, data-driven analysis, user experience collaboration, prioritization, and cross-functional execution. The role also involves experimenting with Generative AI and agentic technologies and responsibly scaling successful concepts into production.

Leads architecture, design, development, testing, deployment, monitoring, and production ownership for complex software products. Guides engineering practices including TDD, pair programming, CI/CD, microservices, and distributed systems. Provides technical leadership across product teams, facilitates Agile ceremonies, resolves technical issues, and manages medium to large engineering teams. Advises direct reports on priorities, risks, budgets, administrative policies, and sourcing decisions while driving KPI achievement.

Leads enterprise data architecture strategy, modernization, and implementation across cloud data platforms, data lakes, lakehouses, warehouses, analytics, and AI environments. Designs secure, scalable data models, ingestion and integration patterns, and cloud-native architectures. Builds prototypes, evaluates emerging technologies, guides engineering teams, and drives adoption of strategic data products. Partners with executives, business stakeholders, architects, security, and delivery teams to establish enterprise data practices and architectural direction.

Performs property and casualty insurance reserving projects using actuarial, statistical, and predictive modeling techniques. Reviews data quality, develops moderately complex reserving methodologies, manages project contributions, documents analyses, communicates findings to technical and nontechnical stakeholders, and recommends assumptions and methodologies. The role requires a bachelor’s degree and active pursuit of Casualty Actuarial Society examinations.

Leads data engineering teams in designing, developing, and supporting scalable batch and streaming data solutions. Responsibilities include data pipeline development, architecture, governance, security, platform optimization, production support, technical mentorship, stakeholder collaboration, and delivery leadership. The role requires hands-on engineering with Python or similar languages, modern data technologies, cloud platforms, DevOps practices, and people-management responsibilities.

Develop and support enterprise full-stack applications using Java, Spring Boot, Python, React, and cloud technologies. Build secure APIs, microservices, integrations, chatbot interfaces, and conversational UI features. Deploy cloud-native applications with Azure or AWS, Docker, and Kubernetes while contributing to CI/CD, testing, monitoring, security, and architecture. Collaborate with product, engineering, architecture, and business teams in an agile environment.

Develop and enhance full-stack digital products across frontend and backend systems. Responsibilities include designing, coding, testing, troubleshooting, maintaining applications, contributing to CI/CD and cloud-native practices, and collaborating through Agile ceremonies, paired programming, and knowledge sharing. Senior and Lead engineers additionally mentor teams, influence technical strategy, guide system design, and drive cross-product engineering direction.

Leads an engineering team responsible for designing, building, and operating data security products and controls. Provides technical direction, hands-on engineering leadership, and delivery ownership across DLP policy, data discovery and classification, data access controls, policy-as-code workflows, automation, integrations, testing, deployment, reliability, and operational support. Translates data security requirements into scalable solutions while mentoring engineers and driving adoption of secure engineering practices.

Build, integrate, and operate cloud-native security controls across infrastructure, data platforms, applications, CI/CD pipelines, and enterprise services. Develop CSPM and DLP capabilities, detection logic, automation, and incident-response mechanisms. Integrate controls with SIEM platforms, apply infrastructure-as-code and automated testing practices, and support reliable production operations. Collaborate with platform, application, and product teams to improve cloud security effectiveness and developer adoption.

Designs, develops, tests, documents, and operates large-scale distributed software products for Allstate’s Enterprise Payments organization. Responsibilities include building Java and Spring Boot REST APIs, designing microservices, collaborating on system architecture, practicing paired programming and test-driven development, establishing CI/CD pipelines, improving performance, securing APIs, supporting production applications, and contributing to Agile planning, retrospectives, and knowledge sharing.