Back-end Engineer II - HashiCorp Vault

IBM Software is focused on transforming client challenges into innovative solutions through AI-powered, cloud-native products. As a Back-end Engineer II, you will contribute to the development of the Vault initiative, collaborating with senior engineers to build secure and scalable components while ensuring high-quality code and system reliability.

Responsibilities:

• Implement features and enhancements within the Vault work stream
• Contribute to design discussions by providing input, evaluating options, and implementing components defined by senior engineers
• Write secure, maintainable, and well-tested code that adheres to engineering standards
• Use AI-assisted development tools (e.g., code generation, automated refactoring, test scaffolding) to improve quality, velocity, and consistency in daily engineering work
• Work closely with engineers across geos to ensure alignment on shared components
• Participate in architecture reviews, code reviews, sprint ceremonies, and technical deep dives
• Communicate progress clearly and raise risks or blockers proactively
• Collaborate with cross‑time‑zone partners to integrate features, clarify requirements, and resolve technical issues
• Actively incorporate feedback from senior engineers, tech leads, and product managers
• Contribute to core identity and storage components of Vault, focusing on reliability, performance, and security
• Participate in debugging, performance optimizations, incident analysis, and operational improvements
• Help maintain documentation and ensure strong test coverage and observability for your areas of ownership
• Provide timely updates to technical leads and engineering managers
• Work with product managers to refine requirements and ensure clarity before implementation

Requirements:

• Proficiency in one or more programming languages (Go, Rust, Java, Python, etc.)
• Solid understanding of APIs, and system design fundamentals
• Familiarity with secure coding practices and interest in identity/security engineering
• Experience using or willingness to adopt AI engineering tools—such as AI-assisted coding, automated documentation, code review assistance, and test generation—to improve productivity and code quality
• Ability to work collaboratively within a distributed team environment
• Debugging and Problem-Solving: Exposure to debugging customer-reported problems, designing, developing, and unit testing code fixes, and collaborating with stakeholders to resolve issues efficiently
• Agile Environment Collaboration: Experience working in an Agile, collaborative environment, understanding stakeholder requirements, and aligning with team goals and objectives
• Master's Degree
• Autonomous Systems Exposure: Interest or experience with AI agent orchestration or LLM-driven workflows
• Policy & Governance Concepts: Exposure to policy-as-code frameworks or dynamic rules evaluation systems
• Security Foundations: Familiarity with hardware-based trust anchors (TPM, Secure Enclaves) or workload attestation models
• Open-Source & Standards Participation: Interest in contributing to open-source security ecosystems or identity standards bodies