DevOps Engineer
Bengaluru, India · Full-time
- Posted 1mo ago
- From Qapitol QA’s careers page
- Location
- Bengaluru, India
- Type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Department
- Software Development
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Opens the listing on qapitol.ai
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About the role
Who thrives here
Engineers who get satisfaction from a clean, boring, reliable deployment - and who don't panic when production is on fire. You're comfortable owning infrastructure end to end, from Terraform to the pager, and you'd rather automate a repetitive task than do it by hand a second time.
What you'll own
- Design, implement and maintain scalable CI/CD pipelines
- Deploy and manage applications across development, QA, staging and production environments
- Manage containerized workloads using Docker and Kubernetes
- Configure and manage Kubernetes clusters, namespaces, deployments, services, ingress, ConfigMaps and Secrets
- Automate infrastructure provisioning using Terraform or equivalent Infrastructure as Code tools
- Develop and maintain Helm charts for Kubernetes deployments
- Work with cloud platforms such as AWS, Azure or GCP
- Automate build, release and deployment processes using Jenkins, GitHub Actions, GitLab CI, Azure DevOps or similar tools
- Implement monitoring, logging and alerting solutions
- Troubleshoot deployment, infrastructure, networking and application issues
- Monitor application and infrastructure health, performance and availability
- Participate in incident management, root-cause analysis and production troubleshooting
- Implement security best practices across CI/CD and cloud environments
- Automate repetitive operational tasks using scripting
What it takes
- 5-7 years of DevOps/cloud engineering experience
- Strong hands-on experience with Kubernetes and Docker
- CI/CD - Jenkins / GitHub Actions / GitLab CI / Azure DevOps
- Infrastructure as Code - Terraform
- Kubernetes package management - Helm
- Cloud - AWS / Azure / GCP
- Git and source-control workflows
- Linux administration and troubleshooting
- Shell / Bash / Python scripting
- Monitoring - Prometheus / Grafana or equivalent
- Logging - ELK / Splunk / Loki or equivalent
- Good understanding of networking, DNS, load balancing, SSL/TLS and firewalls
Nice to have
- ArgoCD / GitOps
- Ansible
- OpenTelemetry
- Datadog
- Service mesh such as Istio
- Microservices architecture and API gateway knowledge
- Production/on-call support experience
- Cloud cost optimisation
- Security and vulnerability-management exposure
Skills they ask for
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About Qapitol QA
AI assurance for the enterpriseQapitol is the independent control layer for enterprise AI, evaluating AI systems and producing evidence they can be trusted.
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