Delivery Centric - DevOps Engineer - Cloud Infrastructure (3-7 yrs)

Job Description :

We are seeking a highly skilled DevOps Engineer with expertise in Kubernetes, Google Cloud Platform (GCP), and a strong proficiency with Artifactory, GitHub, GitHub Copilot, and Codefresh.

This role focuses on supporting and enhancing DevOps practices with a strong focus on the tools and technologies that enable automation, continuous integration, and deployment, while ensuring the stability and performance of applications in production.

The ideal candidate will bring a deep understanding of modern cloud-native infrastructure, DevOps toolchains, and containerization technologies.

Key Responsibilities :

- Cloud Infrastructure Management : Design, implement, and maintain highly scalable, reliable, and secure cloud infrastructure on Google Cloud Platform (GCP).

- Kubernetes Management : Administer and optimize Kubernetes clusters (GKE) to ensure seamless deployment, scaling, and management of containerized applications.

- CI/CD Pipeline Development : Develop and maintain robust CI/CD pipelines using Codefresh to automate build, test, and deployment processes, integrating with version control systems like GitHub.

- Artifactory Management : Support and maintain JFrog Artifactory as a repository for managing, versioning, and distributing build artifacts, ensuring efficient integration with CI/CD pipelines.

- GitHub & GitHub Copilot Integration : Utilize GitHubas the central source code repository, managing branches, pull requests, and automating workflows.

- Leverage GitHub Copilot to streamline code generation and improve developer efficiency by providing AI powered suggestions and automation within the development process.

- Production Application Support : Provide support for live applications in production, troubleshooting issues, and ensuring minimal downtime.

- Work closely with the development team to resolve performance bottlenecks and implement solutions.

- Automation & Scripting : Write and maintain scripts (Bash, Python, Go, etc.) for automating infrastructure provisioning, application deployments, and system maintenance tasks.

- Monitoring & Observability : Implement monitoring, logging, and alerting systems using tools like Prometheus, Grafana, Stackdriver, and other observability solutions to ensure high availability and performance of applications.

- Security & Compliance : Ensure that cloud infrastructure and applications follow best security practices, maintaining a secure development lifecycle and aligning with compliance standards.

- Collaboration : Work in close collaboration with development teams to define deployment strategies, maintain deployment pipelines, and troubleshoot complex production issues.

Required Skills and Qualifications :

- DevOps Engineer or in a similar role, working with cloud-native technologies, CI/CD pipelines, and application support.

- Hands-on experience with Kubernetes, specifically managing clusters on Google Kubernetes Engine (GKE) or other Kubernetes platforms.

- Extensive experience with Google Cloud Platform (GCP) services such as GKE, Cloud Functions, Cloud Storage, IAM, and Pub/Sub.

- Experience with CI/CD tools like Codefresh : Familiarity with building, testing, and deploying applications in a containerized environment using Codefresh, integrating with GitHub repositories and Artifactory for efficient artifact management.

- Expertise in managing JFrog Artifactory: Knowledge of using Artifactory for artifact storage, managing Docker images, Maven, Gradle, and other artifacts across different pipelines.

- Strong GitHub knowledge : Experience with GitHub for version control, managing repositories, pull requests, branches, and GitHub Actions to automate workflows and deploy applications.

- Familiarity with GitHub Copilot : Experience using GitHub Copilot to assist with code writing and reviewing, utilizing AI-driven code suggestions to improve productivity and code quality.

- Solid experience in scripting (Python, Bash, or Go) to automate tasks and workflows.

- Experience with monitoring tools such as Prometheus, Grafana, Stackdriver, or New Relic for monitoring cloud and Kubernetes environments.

- Solid understanding of Infrastructure as Code (IaC)using tools like Terraform or CloudFormation to automate infrastructure provisioning.

- Experience in troubleshooting production applications, performing root-cause analysis, and ensuring uptime and reliability of services.

- Knowledge of cloud security best practices for IAM, encryption, and vulnerability management