Senior Software Engineer, Reliability

Nametag is building the future of secure digital identity. They are seeking a Senior Software Engineer to own infrastructure, reliability, and platform engineering, focusing on designing and scaling systems for their identity verification platform.

Responsibilities:

• Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io
• Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety
• Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure
• Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively
• Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring
• Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues
• Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents
• Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices
• Build internal platform tooling and abstractions that reduce toil and increase engineering velocity
• Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly
• Design and operate data pipelines that support our ML-powered verification systems
• Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly
• Work closely with engineering and product leadership on technical roadmap decisions
• Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline
• Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders

Requirements:

• Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship
• Hands-on experience managing and securing cloud infrastructure. AWS required
• Production experience with Terraform or equivalent tools
• Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning
• Strong experience designing and managing pipelines
• Proficiency in modern, type-safe languages
• Experience building and operating logging, tracing, and metrics systems in production
• Security-minded by default. You design with the threat model in mind, not as an afterthought
• Fly.io or similar experience
• GitHub Actions preferred
• Go strongly preferred
• Prior experience shipping ML infrastructure into production
• Startup experience