Senior Full Stack Developer

Verisk•Boston, MA
•$120,000 - $145,000•Hybrid

About The Position

Verisk Catastrophe Risk Solutions is seeking a Senior Full Stack Developer to build modern, cloud-based analytical applications addressing real-world problems. In this agile engineering role, the developer contributes across the full stack by designing scalable services, building intuitive user experiences, and evolving high-performance solutions used to model and manage extreme event risk. The production stack is .NET, Angular, and AWS, with an emphasis on strong engineering fundamentals, adaptability, and growth within an AI-forward development culture. The role works in a collaborative, team-driven environment with a flexible hybrid work model. Verisk offers structured onboarding, dedicated resources to learn its technology stack, and a budget to experiment with modern AI development tools.

Requirements

  • BS in Computer Science or equivalent professional experience; an MS is preferred.
  • At least 4 years of commercial-grade full-stack software development experience.
  • Deep understanding of frontend UI, backend business logic, scalability, frameworks, and performance optimization.
  • Competency or expertise in C#, Angular, PostgreSQL, and Python, or strongly translatable enterprise languages.
  • Excellent debugging and code review habits, with the ability to reverse-engineer logic and identify flaws in unfamiliar codebases.
  • Must be a US Citizen, Green Card holder, or qualify for an H-1B visa transfer.

Nice To Haves

  • Master’s degree.

Responsibilities

  • Design and build robust backend REST services and responsive Angular frontends using clean, maintainable architecture.
  • Translate complex requirements and system architecture into working software.
  • Develop cloud-based analytical frameworks, performance-driven algorithms, and specialized tooling.
  • Contribute to automated testing, continuous integration, and modern DevOps infrastructure.
  • Optimize performance, cost-efficiency, stability, and functionality in deployments.
  • Experiment with and evolve the use of AI tools to improve development velocity and outcomes.

Benefits

  • Structured onboarding with dedicated time and resources to ramp up on the technology stack.
  • Dedicated budget to experiment with modern AI development tools.
  • Flexible hybrid work model.
  • Comprehensive healthcare.
  • Retirement matching.
  • Career progression pathways.
  • Health insurance.
  • Retirement plan.
  • Disability benefits.
  • Paid Time Off program.
  • Competitive total rewards package including base salary determined by role, experience, skill set, and location.
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