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Open nowFirst seen 2 days ago

Senior Site Reliability Engineer

Adalat AI27 open roles

Where
Remote
Work mode
Remote
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Your applicationOpen nowSenior Site Reliability EngineerAdalat AI · Remote

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Adalat AI's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

Role Overview

Were hiring a Senior Site Reliability Engineer to own and scale the infrastructure behind our courtroom transcription platform. This is not a routine ops role - youll work on high-availability Kubernetes clusters, manage complex deployments with ArgoCD, and ensure reliability for a system processing sensitive, real-time data. Youll collaborate with a small team of elite builders and be the go-to expert for keeping our platform robust, secure, and fast.

Key Responsibilities

  • Deploy, manage, and optimize Kubernetes clusters in production environments.
  • Operate and maintain ArgoCD for GitOps-based deployments.
  • Troubleshoot and iron out performance, reliability, and scaling issues across our clusters.
  • Build and maintain observability (metrics, logging, alerting) to catch and resolve issues proactively.
  • Collaborate with backend and product teams to ensure smooth, reliable releases.
  • Define and enforce infrastructure best practices, focusing on security, scalability, and resilience.

Qualifications

  • 10+ years of experience in production infrastructure, reliability, or DevOps roles.
  • Proven experience deploying and managing Kubernetes clusters at scale.
  • Experience maintaining CI/CD with GitHub actions.
  • Hands-on expertise with ArgoCD (setup, tuning, troubleshooting).
  • Solid foundation in Linux systems, networking, and container internals.
  • Experience with monitoring/alerting stacks (Prometheus, Grafana, Loki, etc.).
  • Comfortable diving into complex problems and quickly stabilizing systems. Bonus:
  • Experience with GCP.
  • Contributions to open-source infrastructure or reliability tooling.
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