Staff Engineer, Site Reliability

Babylist

1d • $226,673 - $271,991 • Remote

About The Position

Babylist's Platform team provides the foundation that every engineering team builds on. The Staff SRE owns infrastructure and reliability practices supporting more than 9 million users and the engineers building Babylist products. The role brings software engineering expertise and experience building security into production systems, translating that experience into code, automation, and secure defaults. It evolves AWS infrastructure, CI systems, and developer tooling as Babylist grows across e-commerce, registry, health, media, and mobile. The position shares the team's core SRE responsibilities while bringing particular depth in security engineering and leading improvements across security, reliability, developer experience, and platform initiatives.

The role includes shaping the long-term infrastructure roadmap and leading cross-team initiatives from design through rollout, adoption, and ongoing operation, while mentoring engineers. Babylist is remote-first, with team members across the U.S. and Canada and twice-yearly company gatherings. The company describes its engineering culture as AI-forward, with AI tools used in day-to-day work.

Requirements

• Strong software engineering skills, including experience shipping and operating production-quality tools or services with tests, code review, and maintainable interfaces.
• Experience personally designing, implementing, and operating production-system security controls for access, workload identity, secrets, or network isolation.
• Deep hands-on Terraform expertise and ownership of infrastructure as code.
• Proven AWS experience at scale, including EKS, RDS, cloud networking, DNS, CDNs, and load balancers.
• Experience operating Kubernetes in production and debugging complex issues.
• Ability to design and improve CI/CD systems such as CircleCI, GitHub Actions, or similar, with attention to developer velocity.
• Strong observability skills, including building actionable, low-noise alerting with tools such as Datadog, Sentry, PagerDuty, or Cronitor.
• Experience with on-call and incident management, including running post-mortems and implementing resulting changes.
• Ability to support developers across local, staging, and production environments.
• Regular use of AI in work, with a focus on moving faster, improving output, and staying curious about new developments.

Responsibilities

• Manage and evolve AWS infrastructure using Terraform, keeping EKS clusters, databases, and core services current, performant, and secure.
• Build and ship tested tools and services, runbooks, and self-service workflows that engineers can adopt and operate.
• Create versioned, tested Terraform modules for least-privilege access, secrets, and workload isolation, with automated checks for configuration drift.
• Maintain fast and dependable CI/CD systems across Engineering, integrating dependency and container scanning, secret detection, and short-lived deployment credentials.
• Support engineers by resolving environment issues across local, staging, and production.
• Define service-level objectives and actionable alerting with engineering teams, and use incident trends to prioritize reliability improvements.
• Validate backups, restore procedures, and failover paths through regular recovery tests.
• Lead or support incident response, conduct post-incident reviews, and ensure follow-up actions prevent recurrence.
• Shape the long-term infrastructure roadmap and lead cross-team initiatives from design through rollout, adoption, and ongoing operation.
• Mentor engineers.

Benefits

• Company-paid medical, dental, and vision insurance.
• Retirement savings plan with company matching and flexible spending accounts.
• Generous paid parental leave and PTO.
• A paid company-wide week off at the end of the year, called Winter Wonder Week.
• Remote work stipend to set up an office.
• Perks supporting physical, mental, and emotional health, parenting, childcare, and financial planning.
• Leading AI tools such as Claude and ChatGPT available from day one.
• Competitive pay and opportunities for career advancement.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed