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Tier‑1 brand, metro location, mid‑level SRE title, and broad required skills create high applicant competition.
Core DevOps skills are transferable, but platform-specific Temporal and observability expertise increases domain specificity.
Explicit 3+ years plus mandatory Kubernetes, Helm, cloud and scripting skills impose moderate filtering.
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Operate and evolve internal Temporal workflow orchestration infrastructure across multiple Kubernetes regions, ensuring system availability and performance.
Automate operational tasks such as deployments, upgrades, scaling, and troubleshooting to reduce manual toil and improve reliability.
Support capacity planning, performance tuning, observability enhancements, and participate in incident response including on-call rotations and runbook development.
3+ years in DevOps, SRE, platform engineering or infrastructure roles with production systems exposure.
Proficiency in Kubernetes fundamentals including deploying and debugging services; experience with Helm for application deployment and troubleshooting.
Experience with infrastructure-as-code tools such as Terraform, Ansible, or GitOps workflows (FluxCD, ArgoCD).
Working knowledge of AWS or GCP cloud platforms and scripting skills in Bash, Python, or Go.
Work Experience Required: 3+ years
Early-to-mid career platform engineer looking to build operational depth and automation skills in managing stateful, distributed systems.
Comfortable operating complex Kubernetes-based infrastructure and running workflow orchestration systems like Temporal or similar.
Experience or interest in capacity planning, performance tuning, and implementing observability improvements in multi-region cloud environments.