Senior Software Engineer
Senior Software Engineer on the Core Cryptography team building and operating Tier-0 cryptographic infrastructure including MPC systems that secure 99% of customer assets. Requires 5+ years building highly available distributed systems and experience with applied cryptography, KMS/HSMs, and systems languages (Golang-heavy).
What you'll do
- Own the design, implementation, and end-to-end integration of critical cryptographic infrastructure, including services required for global regulatory compliance
- Lead infrastructure setup, continuous deployment, and observability strategies to proactively resolve production incidents and ensure catastrophe recovery
- Drive complex integration challenges, implementing secure and resilient infrastructure in a high-stakes, zero-trust environment
- Shape engineering quality as a technical mentor, promoting rigorous code reviews, comprehensive design documents, and best practices across the team
- Partner with cross-functional stakeholders across Security, Product, and Policy to drive flawless execution
Required Skills and Experience
- 5+ years of experience in software engineering with demonstrated success building highly available, distributed systems
- Experience with applied cryptography, Key Management Systems (KMS), or Hardware Security Modules (HSMs), with understanding of how to safely operate within security-critical environments (Multi-Party Computation experience strongly preferred)
- Extensive programming experience in systems languages such as Golang, Java, C++, or Rust, with ability to operate in a Golang-heavy environment
- Proven track record operating Tier-0 or highly critical infrastructure where system resilience, observability, and security are absolute prerequisites, including experience configuring cloud infrastructure as code across multiple isolated environments
- Demonstrated experience managing complex projects end-to-end, removing technical blockers, navigating regulatory requirements, and mentoring team members
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality
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