About the Role :

We are looking for a highly skilled DevOps / Cloud / Platform Engineer with strong hands-on experience in CI/CD, AWS, Kubernetes, Terraform, GitOps, automation, and cloud-native technologies.

The ideal candidate will be responsible for building and enhancing deployment pipelines, automating infrastructure and operational processes, supporting Kubernetes-based platforms, and improving the overall reliability, scalability, security, and efficiency of software delivery.

You will work closely with Application Engineering, Platform, Infrastructure, Security, Data, and SRE teams to enable faster and more reliable releases while driving DevOps and platform engineering best practices.

Experience :

- 3 - 6 years of relevant experience in DevOps, Cloud Engineering, Platform Engineering, SRE, Infrastructure Automation, or a similar role.

Key Responsibilities :

1. CI/CD & Release Automation :

- Design, develop, maintain, and optimize CI/CD pipelines using GitLab CI, Jenkins, and GitHub Actions.

- Build reusable pipeline templates, workflows, and deployment frameworks for multiple application teams.

- Automate the complete software delivery lifecycle, including code integration, build and packaging, automated testing, security and quality scanning, artifact management, deployment, and release validation.

- Implement standardized and reusable CI/CD practices across engineering teams.

- Identify and resolve pipeline failures, deployment issues, build problems, and release bottlenecks.

- Improve deployment frequency, release reliability, and overall engineering productivity.

- Implement automated rollback and recovery mechanisms where required.

2. Kubernetes & Containerization :

- Deploy, configure, manage, and troubleshoot containerized applications using Docker and Kubernetes.

- Work extensively with Amazon EKS for production-grade Kubernetes deployments.

- Manage Kubernetes resources such as Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, Jobs/CronJobs, and RBAC.

- Troubleshoot application, networking, resource, pod, node, and deployment-related issues.

- Support Kubernetes upgrades, configuration changes, scaling, and operational activities.

- Implement and support deployment strategies such as rolling, blue-green, and canary deployments.

3. AWS Cloud Engineering :

- Design, implement, and support cloud infrastructure and application environments on AWS.

- Work with AWS services relevant to application hosting, networking, security, monitoring, and infrastructure automation.

- Support AWS-based Kubernetes environments, particularly Amazon EKS.

- Troubleshoot cloud infrastructure, connectivity, performance, availability, and deployment issues.

- Follow AWS cloud security, reliability, scalability, and cost-optimization best practices.

- Automate repetitive AWS operational and infrastructure activities.

4. Infrastructure as Code - Terraform :

- Develop and maintain reusable Terraform modules for AWS infrastructure.

- Provision and manage infrastructure using Infrastructure as Code (IaC) principles.

- Implement standardized, version-controlled infrastructure configurations.

- Manage Terraform state, variables, modules, environments, and reusable components.

- Integrate Terraform provisioning and validation into CI/CD pipelines.

- Perform infrastructure changes through controlled and automated deployment processes.

- Ensure infrastructure follows security, reliability, and operational standards.

5. GitOps & ArgoCD :

- Implement and maintain GitOps-based deployment workflows using ArgoCD.

- Manage Kubernetes application configurations through Git-based workflows.

- Configure automated synchronization, deployment, and rollback processes.

- Troubleshoot ArgoCD synchronization, application health, and deployment issues.

- Establish Git as the source of truth for application and environment configurations.

- Promote consistent and auditable deployment practices across environments.

6. Configuration & Operational Automation :

- Automate infrastructure and configuration management using Ansible.

- Develop reusable Ansible playbooks and automation workflows.

- Automate server configuration, application deployment, operational tasks, and environment setup.

- Identify repetitive manual processes and convert them into automated workflows.

- Develop operational tooling and scripts using Python and Bash/Shell.

7. Monitoring & Observability :

- Implement and maintain monitoring and observability solutions using AWS CloudWatch, Grafana, Dynatrace, and ELK Stack.

- Develop dashboards, alerts, and operational metrics for applications and infrastructure.

- Monitor system health, application performance, deployment health, and availability.

- Troubleshoot production issues using logs, metrics, traces, and monitoring data.

- Support proactive identification and resolution of performance and reliability issues.

8. Production Support & Troubleshooting :

- Provide technical support for CI/CD, cloud, Kubernetes, infrastructure, and deployment issues.

- Investigate production incidents and identify root causes.

- Perform troubleshooting across application, infrastructure, networking, container, and deployment layers.

- Participate in incident management, problem management, and root-cause analysis.

- Implement preventive and corrective actions to reduce recurring incidents.

- Support production releases and critical deployment activities when required.

9. DevSecOps & Security :

- Integrate security practices into CI/CD and cloud-native deployment workflows.

- Support automated security, vulnerability, and compliance scanning within pipelines.

- Implement secure practices for secrets, credentials, access controls, and infrastructure.

- Follow DevSecOps principles throughout the software delivery lifecycle.

- Work with Security teams to remediate identified vulnerabilities and security issues.

10. Collaboration & Documentation :

- Collaborate with Application Developers, QA, Security, Infrastructure, Data, SRE, and Platform teams.

- Understand application deployment requirements and translate them into scalable DevOps solutions.

- Provide technical guidance on CI/CD, cloud, Kubernetes, infrastructure automation, and deployment best practices.

- Create and maintain technical documentation, architecture/deployment documentation, runbooks, SOPs, troubleshooting guides, and deployment guides.

- Contribute to continuous improvement and platform engineering initiatives.

Required Technical Skills :

Must-Have Skills :

- 3 - 6 years of relevant DevOps / Cloud / Platform / SRE experience.

- Strong hands-on experience in CI/CD pipeline development and automation.

- Strong experience with AWS cloud services.

- Hands-on experience with Kubernetes and Amazon EKS.

- Strong experience with Terraform / Infrastructure as Code.

- Hands-on experience with GitOps and ArgoCD.

- Experience with one or more CI/CD platforms : GitLab CI, Jenkins, GitHub Actions.

- Hands-on experience with Ansible.

- Strong scripting experience with Python and/or Bash/Shell.

- Good hands-on knowledge of Linux administration and troubleshooting.

- Strong understanding of Git and Git-based development workflows.

- Experience with Docker and containerized application environments.

- Good understanding of cloud-native deployment and DevSecOps practices.

Monitoring & Observability :

- Experience with one or more of the following : AWS CloudWatch, Grafana, Dynatrace, ELK Stack, Elasticsearch, Logstash, Kibana.

Good-to-Have Skills :

- Experience building reusable DevOps/platform engineering frameworks.

- Experience with Kubernetes Helm charts.

- Experience with Kubernetes networking and ingress.

- Experience with AWS IAM, VPC, EC2, S3, CloudFormation, Lambda, and related services.

- Experience with container security and image scanning.

- Knowledge of Kubernetes RBAC and secrets management.

- Experience implementing blue-green and canary deployments.

- Experience with automated rollback strategies.

- Knowledge of SRE principles and reliability engineering.

- Experience with cloud cost optimization.

- Experience working in Agile/Scrum environments.

- Experience supporting large-scale production environments.

- Knowledge of security and compliance requirements in cloud environments.

Education :

- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline.