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We are actively seeking DevOps Engineers to lead with experience in driving end-to-end client onboarding, excelling in infrastructure automation, and showcasing CI/CD expertise. Proficiency in Cloud Providers (AWS and GCP; Azure is a plus), Docker, Kubernetes, and scripting is a must for establishing secure, scalable, and efficient environments.
Job Responsibility:
Responsible for onboarding new clients and setting up their pipelines and infrastructure automation end to end
Responsible for documentation of system configuration, processes and tools used by the team
Ensure both release management and change management process are followed within production environments
Have a thorough process methodology and ability to communicate with all stakeholders
Work collaboratively with development engineering to create and deploy a CI/CD infrastructure through (GitHub Actions, Jenkins, Azure Pipelines, GitLab-CI or AWS Code Pipeline)
Develop and implement environments for quality assurance, development, etc.
Implement DevOps with Dev team on agile delivery mode
Deploy and Support applications on AWS, GCP, and hybrid/on-prem environments
Responsible for infrastructure security and making sure environments are secure, reliable and scalable
Learning and gathering new technologies related to DevOps tools and present to the company to develop and grow the agile development environment
Collaborating with developers to make sure the new environments are set up properly and ensure the best practices of DevOps are in place
Designing, implementing and testing concurred upon frameworks
Prioritizing requests from operations, development and product teams fairly while demonstrating a sense of empathy
Requirements:
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
At least 4+ years of DevOps experience
Strong documentation skills for system configuration, processes, and tools
Experience with release management and change management processes in production environments
Must have advanced level knowledge of at least two Cloud Providers (AWS and GCP required)
Good hands-on experience managing production workloads in GCP, specifically on GKE, Compute Engine (GCE), Cloud SQL, Cloud Run, and other core GCP services
Hands-on advanced-level experience with Docker, Kubernetes, Helm charts, and ArgoCD or similar GitOps technologies
Proficiency in Infrastructure as Code (IaC) using Terraform (preferred) and/or AWS CloudFormation
Advanced scripting skills in Bash, Python, PowerShell, and/or Ruby
Hands-on experience in creating and deploying CI/CD infrastructure through tools like GitHub Actions, Jenkins, Azure Pipelines, GitLab-CI, or AWS Code Pipeline
Advance level knowledge of web servers including Nginx and Apache
Good understanding of DevOps and GitOps practices
Experience with capacity planning processes supporting on-premises & public cloud deployment models
Experience in monitoring tools to track the health and performance of systems and applications like New Relic, DataDog, Cloud Monitoring, CloudWatch etc.
Experience in implementing log collection, aggregation, and analysis solutions to troubleshoot issues and monitor system activity using Cloud Logging, CloudWatch, ELK, Prometheus etc
Strong problem-solving and analytical skills
Should be proficient in communications both verbally and written
Ability to work effectively in a collaborative team environment
Nice to have:
Certification in AWS/Azure or GCP – professional level would be a plus