Software Engineer, Reliability

Role Description

We're looking for a Software Engineer to own infrastructure, reliability, and platform engineering at Nametag. You'll design and scale the systems that keep our identity verification platform fast, secure, and always available, and build the tooling that makes our engineering team more productive and autonomous.

This is a hands-on, high-impact role. You'll work closely with engineering and product leadership to make critical decisions about how we build, deploy, and operate our systems, and then execute on them. If you've thrived in fast-moving environments and care deeply about uptime, correctness, and developer experience, we'd love to meet you.

What You'll Do

• Infrastructure & Reliability
  • 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.
• Observability & Incident Response
  • 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.
• Developer Enablement
  • 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.
• Data & ML Infrastructure
  • 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.
• Collaboration & Leadership
  • 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.

Qualifications

• 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; Fly.io or similar a plus.
• 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, GitHub Actions preferred.
• Proficiency in modern, type-safe languages. Go strongly preferred.
• Experience building and operating logging, tracing, and metrics systems in production.
• Prior experience shipping ML infrastructure into production, not just experimentation.
• You've worked at an early-stage company and know what it means to move fast without compromising the things that matter.
• Security-minded by default. You design with the threat model in mind, not as an afterthought.

Benefits

• Competitive salary
• Meaningful equity ownership
• Comprehensive health benefits (medical, dental, vision)
• Flexible paid time off
• Quarterly team off-sites and travel support
• New computer hardware and equipment
• An inclusive environment where your voice has impact and your work drives change