Padmi

Site Reliability Engineer(SRE)

HyderabadPosted 1 month ago
Software engineeringMid-levelFull Time; Regular
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If it's down, it's on you. If it stays up, that's on you too. This isn't a ticket-queue DevOps gig where you spin up infra and wait for the next request. At Techdome, you own production for real Healthcare, FinTech, AI, and SaaS products, with real users depending on uptime that isn't negotiable. You'll build the pipelines, own the incidents, ship the zero-downtime releases, and be the person the team trusts when something breaks at 2am. If automation, Kubernetes, observability, and AI-powered ops get you genuinely excited not just as buzzwords on a resume keep reading. What You'll Actually Do Keep production up, fast, and stable availability, reliability, scalability, and performance across every environment you touch. Run the cloud like it's yours manage and optimize environments across AWS, Azure, or GCP. Build deployment pipelines that don't break things CI/CD engineered for zero-downtime, with Blue-Green, Rolling, and Canary strategies as your default toolkit, not a slide in a deck. Codify the infrastructure Terraform and Ansible so nothing important lives only in someone's head. See everything before it becomes a problem observability with Prometheus, Grafana, ELK, Datadog, OpenTelemetry, and centralized logging. Own the numbers that matter define and maintain SLIs, SLOs, and Error Budgets, not just watch dashboards. Lead when things go wrong incident management, RCA, and post-incident reviews that actually prevent the repeat. Watch the bill, not just the uptime cloud cost optimization and capacity planning. Automate the boring and the risky scripting and AI-powered tooling for alert triage, incident summarization, and operational workflows. Carry the pager participate in on-call rotations and production support, because ownership doesn't stop at 6pm. What You Bring 3+ years as an SRE, DevOps Engineer, Platform Engineer, or Cloud Engineer. Real hands-on cloud experience AWS, Azure, or GCP. Docker and Kubernetes fluency not just "I've used it once." Infrastructure as Code expertise Terraform, Ansible, or equivalent. CI/CD pipelines built from scratch Jenkins, GitHub Actions, GitLab CI, or similar. Solid Linux, networking, and distributed systems fundamentals the stuff that doesn't show up in a tutorial. Scripting chops Python, Go, or Bash. Experience running large-scale production environments where "it's fine" isn't good enough. Working knowledge of Blue-Green, Canary, and Rolling deployment strategies in practice, not just in theory. Time in FinTech, Payments, Healthcare, or other high-availability environments where downtime has real consequences. A working AI toolkit GitHub Copilot, Claude, Cursor, ChatGPT, or similar, used to actually get things done faster. Extra Credit You've built AI-powered operational workflows monitoring, alert triage, incident summarization, automation not just used AI to write scripts faster. You speak fluent SRE SLOs, SLIs, Error Budgets, Chaos Engineering, and Reliability Engineering aren't just terms you've heard. Why Techdome No narrow lane. Work across real-world AI, Healthcare, Payments, and SaaS products not one domain for years on end. Ownership from day one. Critical production infrastructure is yours, not something you inherit after two years of proving yourself. Scale that matters. Systems supporting thousands of users and business-critical workflows, not internal tools nobody depends on. Direct access to the top. Work with founders and senior engineering leadership no six layers of management between your idea and a decision. An AI-first culture that's actually real. Modern tooling, real automation, not a mandate to "use AI more" with no support behind it. Speed and real ownership. Fast decisions, real stakes, and career growth that isn't stuck waiting for a title change. If you want infrastructure work with actual teeth let's talk. .

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