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Mid-level SRE with common cloud/Kubernetes requirements increases applicant competition.
Strong preference for FinTech/Healthcare and high-availability experience increases industry specificity.
Explicit 3+ years and mandatory cloud, Kubernetes, IaC, CI/CD, and production experience.
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Ensure high availability, reliability, scalability, and performance of production environments across Healthcare, FinTech, AI, and SaaS products.
Manage and optimize cloud infrastructure on AWS, Azure, or GCP, including building zero-downtime CI/CD deployment pipelines using strategies like Blue-Green, Rolling, and Canary.
Lead incident management, root cause analysis, and automate operational workflows using scripting and AI-powered tools, including participation in on-call rotations.
3+ years experience as an SRE, DevOps Engineer, Platform Engineer, or Cloud Engineer.
Hands-on experience with cloud platforms: AWS, Azure, or GCP.
Proven skills with Docker, Kubernetes, Infrastructure as Code (Terraform or Ansible), CI/CD pipeline creation, Linux, networking, and distributed systems.
Experience in high-availability environments such as FinTech, Payments, or Healthcare; scripting skills in Python, Go, or Bash.
Experienced in running large-scale, critical production environments where uptime is non-negotiable.
Hands-on with advanced deployment strategies (Blue-Green, Canary, Rolling) and observability tools (Prometheus, Grafana, ELK, Datadog).
Practically uses AI tools for operational automation and understands SRE concepts like SLOs, SLIs, Error Budgets, and Reliability Engineering.