Site Reliability Engineer (Contract, Rotation-Based) at Invisible Technologies

  • Company: Invisible Technologies
  • Location: Estonia - Remote | India - Remote | South Africa -
  • Job type: contract
  • Workplace: remote
  • Posted: 2026-10-11

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Job description

About Invisible Invisible is an Applied AI research company closing the gap between frontier models and the enterprise. We provide the platform infrastructure that makes AI work in production at scale: unify fragmented data, map complex processes, orchestrate and evaluate agents, and stand up hyper-personalized workflow applications fast for companies like Grubhub, Alliance Global, and Thomson Reuters. Where models fall short, we build RL environments and data to fix them. The result: a virtuous cycle between enterprise deployment and model training. Recognized as Best Predictive Analytics Platform of the Year at the 2026 AI Breakthrough Awards, Invisible makes AI work. About The Role We're looking for Site Reliability Engineers to join a 24/7 incident response rotation supporting a production platform used by one of our key clients. You'll be a first responder for critical incidents — triaging and stabilizing issues at the infrastructure level, working from logs to place a failure to its component, and escalating to the platform team when an issue goes beyond infrastructure-level diagnosis. We're hiring across a level range. At minimum, you'll own first response: fast, calm triage under time pressure, and good judgment about when to escalate versus resolve. For candidates operating at a more senior level, the role grows to include hardening the systems you're responding to, driving scaling and capacity work, and proposing structural improvements — so the same incidents happen less often over time. What You’ll Do Serve as first responder for production incidents, triaging and stabilizing at the infrastructure level within defined response SLAs (P1/P2 severity) Diagnose issues primarily from system logs — Kubernetes, RabbitMQ, and Postgres — to place a failure to the right component before escalating Distinguish infrastructure-level failures from application/business-logic failures — for infrastructure-level issues, identify the fix and submit the change yourself; escalate application/business-logic issues to the platform team with clear context Participate in an on-call rotation, including off-hours coverage Communicate incident status clearly to stakeholders during active incidents, and hand off cleanly to the team that owns resolution What We Need Solid hands-on experience with Kubernetes, RabbitMQ, and PostgreSQL in an enterprise setting, ideally within Financial Services Strong working knowledge of Azure; familiarity with GCP or AWS is a plus Comfort diagnosing an unfamiliar system primarily from its logs rather than its source — this matters more than deep expertise in any one tool Experience troubleshooting production systems under time pressure, with sound judgment about severity and escalation Clear, calm communication during live incidents Engagement Type & Schedule This is a contractor role structured around a coverage rotation rather than a standard full-time schedule. The commitment breaks down as: 10+ hours per week during regular business hours Rotational weekend coverage: 8 hours on Saturday and 8 hours on Sunday, every other weekend ~72+ hours per month total, combining weekday and rotational weekend coverage *Please note: this role is an hourly, contract-based position and is not eligible for bonus or equity compensation* Bonus and equity is included in all full-time, non commission offers. Final compensation is determined by a combination of factors, including location, job-related experience, skills, knowledge, internal pay equity, and overall market conditions. Because of this, every offer is unique. Additional details on total compensation and benefits will be discussed during the hiring process. You can find more information about our geographic pay tiers here . During the interview process, your Invisible Talent Acquisition Partner will confirm which tier applies to your location. For candidates outside the U.S., compensation is adjusted to reflect local market conditions and cost of living. What It's Li

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