Deepfake Defense™ identity verification and account protection solutions.
Senior Software Engineer – Infrastructure, Reliability
Location
United States
Posted
61 days ago
Salary
$120K - $190K / year
Seniority
Senior
Job Description
Senior Software Engineer – Infrastructure, Reliability
Nametag
• 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.
Job Requirements
- 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
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