Back-end Senior Engineer - HashiCorp Vault

IBM

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Work type
On-site
Location
Lowell, MA
Posted
2 days ago

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Similar $193k
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Listed pay typically runs $1,000,000–$1,000,000 across 8 roles with salary data.

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TL;DR · Back-end Senior Engineer - HashiCorp Vault

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As a Senior Back-end Engineer on the HashiCorp Vault team in Lowell, MA, you will play a pivotal role in expanding our flagship security product to support large-scale agent-based workloads. Your responsibilities include implementing features and enhancements within Vault, leading design discussions, mentoring junior engineers, and writing secure, maintainable code using AI-assisted development tools. You will collaborate closely with cross-geography partners on architecture reviews, sprint ceremonies, and technical deep dives, ensuring alignment on shared components and resolving technical issues proactively. Proficiency in Go or other programming languages, solid understanding of APIs and system design fundamentals, and experience with secure coding practices are essential, along with a keen interest in identity and security engineering.

Skills

Go Vault Kubernetes Rust Java Python APIs System Design Secure Coding Golang AI-Assisted Development Tools Code Generation Automated Refactoring Test Scaffolding LLM-Driven Workflows Policy-as-Code Dynamic Rules Evaluation Systems

What you'll do

  • Lead design discussions and implement components for Vault initiative features.
  • Write secure, maintainable, and well-tested code adhering to engineering standards.
  • Mentor junior engineers on best practices and highlight areas for improvement.
  • Contribute to core identity and storage components of Vault with a focus on reliability.
  • Collaborate across geographies to integrate features and resolve technical issues.

What we're looking for

  • 5+ years of experience in programming with proficiency in Go
  • Solid understanding of APIs and system design fundamentals
  • Familiarity with secure coding practices and identity/security engineering
  • Ability to lead design discussions and mentor junior engineers
  • Experience or willingness to use AI-assisted development tools
  • Exposure to autonomous systems, such as AI agent orchestration
  • Knowledge of policy-as-code frameworks or dynamic rules evaluation systems

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