Required Skills: SRE, AWS, Azure, GCP, Kubernetes, EKS< ECS, Fargate, GKE, GitLab, CI/CD
Job Description
Job Description:
Designing, implementing, deploying and running highly available, fault-tolerant, auto-scaling and auto-healing systems
Deep expertise in AWS, Azure, and GCP, including Kubernetes (EKS, ECS, Fargate, GKE) and server less architectures
Implementing advanced monitoring (Prometheus, Grafana, Datadog, ELK), tracing, logging and automated alerting solutions. Scaling distributed systems, optimizing compute/storage efficiency, and cost management. Designing failure simulations to improve system robustness and incident response. Expert in AWS CLI, CloudFormation, Ansible, Helm, and GitOps for automated infrastructure provisioning. Driving reliability best practices across engineering teams, embedding SRE principles into the DevSecOps lifecycle. Partnering with engineering, security, and product teams to balance reliability and feature velocity. Expertise in CIAM, ForgeRock stack (PingGateway, PingAM, PingIDM, PingDS) with certification or proof of completion of ForgeRock Deep-Dive 400 trainings.
Building and mentoring high-performing SRE teams, fostering a culture of automation and innovation.
Defining and enforcing reliability metrics to balance innovation with system stability.
Optimizing deployment pipelines for high-frequency, zero-downtime releases.
Leveraging machine learning for anomaly detection, predictive scaling, and automated remediation.
Experience:
5+ years experience in hands-on configuration, deployment and running ForgeRock COTS based IAM solutions (PingGateway, PingAM, PingIDM, PingDS) with automated GitOps CI/CD pipelines using GitLab.