- Have 3 - 6 years of experience in DevOps / Cloud

- Have deep expertise in cloud platforms (AWS / GCP / Azure) with the ability to design architecture from scratch

- Have successfully implemented multiple production-grade cloud setups end-to-end

- Are highly proficient with Infrastructure as Code (Terraform / CloudFormation, etc.)

- Have strong experience with CI/CD systems (GitLab CI / Jenkins / GitHub Actions) and DevSecOps practices

- Have hands-on expertise in Kubernetes, containerization, and microservices-based architectures

- Understand observability, monitoring, and reliability engineering (Prometheus, Grafana, ELK, etc.)

- Can lead, mentor, and drive technical decision-making across teams

- Have strong communication skills and can confidently operate in client-facing environments

- Bring an automation-first mindset with a focus on scalability, reliability, and performance

- (Bonus) Have exposure to ML Ops / data platforms

Heres What Your Day Will Look Like :

- Own and optimize end-to-end CI/CD pipelines powering IDfys digital fraud platform.

- Work hands-on with GitLab CI, Jenkins, or GitHub Actions, building automated workflows for build, test, deploy & release.

- Implement DevSecOps practices - SAST, DAST, dependency scanning, policy enforcement.

- Architect, operate, and evolve our Observability stack: Prometheus, Grafana, Alertmanager, Elastic Stack.

- (Optional, Advantage) Implement and maintain GitOps deployments with ArgoCD or Flux.

- Automate everything - deployments, testing, environment setup, release workflows.

- Work closely with engineering & product teams to ensure fast, secure, and reliable delivery cycles.

- Troubleshoot production and pipeline issues with a focus on reliability and root-cause elimination.