Skills this job asks for
RubyAWSMySQLRedisTerraformNetworkingKubernetesCI/CD
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Sponsorship verdict
Sponsorship possible
One solid signal, not two. Worth applying, and worth asking about sponsorship early.
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✓
Employer is on a government sponsor recordUSCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it.
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The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
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No salary bar for this routeH-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area.
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✓
Confirmed live todayWhen a source last listed this job as open.
Details and sources
- Employer is on a government sponsor record
- USCIS Data Hub records 1 H-1B approvals for this employer in FY2023 — older 2023 data; no recent Department of Labor filings (Oct 2025 – Jun 2026) were found for it. Source: US Department of Labor visa filings (LCA) (US Department of Labor (OFLC), plus USCIS H-1B Employer Data Hub).
- No salary bar for this route
- H-1B has no fixed salary bar: the employer must pay at least the prevailing wage for the role and area. Cap-subject employers enter a lottery weighted by wage level. Source: https://www.federalregister.gov/documents/2025/12/29/2025-23853/weighted-selection-process-for-registrants-and-petitioners-seeking-to-file-cap-subject-h-1b, rules effective 2026-02-27.
US H-1B: cap-subject employers enter a lottery weighted by wage level — Level I gets 1 entry, Level IV gets 4 (DHS projected selection odds ≈15% at Level I to ≈61% at Level IV). Universities and non-profit research employers are cap-exempt. The $100,000 fee for new petitions from abroad is currently blocked by a court order (appeal pending).
A verdict summarises public evidence. It is not legal advice and never a guarantee: the employer and the immigration authority decide. Sign in to factor in where you can already work.
About the role
How We Build
Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk.
Our Tech Stack
• Ruby on Rails
• AWS
• Sidekiq
• MySQL
• Redis
What the Role Is
Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, and scalable. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. Babylist started as an e-commerce and registry platform, and we're actively growing beyond that — into health, media, mobile, and new product surfaces that don't exist yet. The Platform team is the foundation that makes all of it possible. This isn't a maintenance role — you'll be actively evolving how we build and operate AWS infrastructure, CI systems, and developer tooling. You'll work cross-functionally across all of Babylist Engineering, which means your decisions have wide leverage.
Who You Are
• Deep hands-on Terraform expertise — you own IaC, not just contribute to it
• Proven AWS experience at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas
• Experienced operating Kubernetes in production — you've debugged the hard stuff, not just deployed the easy stuff
• Comfortable designing and improving CI/CD systems — CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime
• Strong observability instincts — Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy
• Experienced with on-call and incident management — you've run the post-mortems and actually changed things afterward
• Comfortable supporting developers across local, staging, and production — you're a resource, not a gatekeeper
• You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next.
How You Will Make An Impact
• Infrastructure ownership — manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current and performant
• CI/CD reliability — own the speed and reliability of our CI systems for the full Engineering org — every deploy starts here
• Developer support — be the person engineers turn to when environments break; unblock them fast across loca
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