Senior Software Engineer - DevOps

IDfy

Mumbai

On-site

INR 3,000,000 - 5,400,000

Full time

14 days+
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Job summary

IDfy in Mumbai, India is seeking an experienced DevOps Engineer to design, deploy, and optimize cloud-native architectures. You will manage end-to-end CI/CD pipelines and implement DevSecOps practices to ensure secure, scalable software delivery.

The role requires hands-on cloud expertise (AWS/GCP/Azure), IaC with Terraform, Kubernetes, and strong collaboration with product teams. Client-facing communication and an automation-first mindset are essential.

Qualifications

  • 3–6 years of experience in DevOps / Cloud.
  • Expertise in cloud platforms (AWS / GCP / Azure) with ability to design architecture from scratch.
  • Implemented production-grade cloud setups end-to-end.
  • Hands-on with Infrastructure as Code (Terraform / CloudFormation).
  • Strong experience with CI/CD systems (GitLab CI/ Jenkins / GitHub Actions) and DevSecOps practices.
  • Hands-on expertise in Kubernetes, containerization, and microservices architectures.
  • Strong observability knowledge (Prometheus, Grafana, ELK).
  • Able to lead, mentor and drive technical decisions across teams.
  • Excellent communication for client-facing environments.
  • Automation-first mindset focused on scalability, reliability, and performance.
  • Bonus: exposure to ML Ops / data platforms.

Responsibilities

  • Own and optimize end-to-end CI/CD pipelines powering IDfy’s digital fraud platform.
  • Work hands-on with GitLab CI, Jenkins, or GitHub Actions to build automated workflows for build, test, deploy and release.
  • Implement DevSecOps practices — SAST, DAST, dependency scanning, policy enforcement.
  • Architect, operate, and evolve our Observability stack: Prometheus, Grafana, Alertmanager, Elastic Stack.
  • Optional: implement and maintain GitOps deployments with ArgoCD or Flux.
  • Automate deployments, testing, environment setup, and release workflows.
  • Collaborate with engineering and product teams to ensure fast, secure, and reliable delivery cycles.
  • Troubleshoot production and pipeline issues with a focus on reliability and root-cause elimination.

Skills

DevOps experience
Cloud engineering
Strong communication

Tools

AWS
GCP
Azure
Terraform
CloudFormation
GitLab CI
Jenkins
GitHub Actions
Kubernetes
Prometheus
Grafana
ELK
ArgoCD
Flux

Job description

  • 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 / GitHubActions) and DevSecOps practices
  • Have hands-on expertise inKubernetes, 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
We are the perfect match if...
Here’s What Your Day Will Look Like...
  • Own and optimize end-to-end CI/CD pipelines powering IDfy’s 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.
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