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Nametag is building the future of secure digital identity. Our mission is to make it easy for people and organizations to prove who they are online, safely and seamlessly. We're pioneering next-generation identity verification and account protection so that users can control their own identity, and companies can build trust without friction. By enabling trust at scale, we help enterprises reduce fraud, streamline onboarding, and deliver secure user experiences that customers love.

We're looking for a Senior 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.

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.

Work Authorization (Required): Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. This is a firm requirement. The technical qualifications below are guidelines.

We know that no candidate will perfectly match every requirement, and that's okay. If you're passionate about what we're building and have most of the skills below, we'd love to hear from you.

• Cloud & Infrastructure: Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus.
• Infrastructure-as-Code: Production experience with Terraform or equivalent tools.
• Databases: Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning.
• CI/CD: Strong experience designing and managing pipelines, GitHub Actions preferred.
• Languages: Proficiency in modern, type-safe languages. Go strongly preferred.
• Observability: Experience building and operating logging, tracing, and metrics systems in production.
• MLOps & Data Pipelines: Prior experience shipping ML infrastructure into production, not just experimentation.
• Startup experience: You've worked at an early-stage company and know what it means to move fast without compromising the things that matter.
• Security: Security-minded by default. You design with the threat model in mind, not as an afterthought.

• Intellectual horsepower. Quickly grasping complex technical and business concepts.
• Kindness and integrity. Earning trust is central to how we build relationships with customers and colleagues.
• Bias for action. We move quickly to deliver impact and protect our customers against fast-moving threats.
• Ownership mindset. You care about uptime and stability the way a founder cares about the product.

The base salary range for this full-time position is $120,000 to $190,000, plus equity and benefits.

Nametag is a founding member of the Open Imperative, publicly committed to pay equity in the technology industry. We post positions with ranges to encourage people of different backgrounds and experiences to apply. Every offer is benchmarked against market data to ensure fairness and consistency.

Final compensation is determined by role, level, and additional factors such as skills, experience, and education. Your recruiter or hiring manager can share more details during the hiring process.

At Nametag, we believe trust starts with how we treat each other. We're a remote-first team that values autonomy, inclusivity, and collaboration, with regular in-person time to stay connected and innovate together.

• Remote-first: Work from anywhere in the US. Our team spans Seattle, San Francisco, Ann Arbor, Denver, New York City, and beyond.
• Off-sites: We bring the team together once per quarter for in-person collaboration, often off-site in new places.
• Flexible schedules: Work in your own time zone; we align key meetings across a shared window.

• 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