DevOps Engineer

About the Role

We are looking for a hands-on DevOps Engineer with 3-4 years of production experience to independently own and operate a client’s cloud and DevOps environment.

You will own the day-to-day reliability, deployments, automation, monitoring, troubleshooting, and continuous improvement of the client's production infrastructure across AWS, Azure, and/or GCP.

This client-facing role requires strong technical communication, ownership, and the ability to solve operational problems independently. You will also guide and coordinate 1-2 engineers working with you on the client environment.

You should be comfortable working with Kubernetes, CI/CD, Infrastructure as Code, Linux, automation, observability, security, and production incident management.

Key Responsibilities:

What You Will Own

• End-to-end technical ownership of one client environment
• Day-to-day health, reliability, and operational excellence of the environment
• Deployments, infrastructure changes, and production support
• Monitoring, alerting, and incident response
• Infrastructure automation and continuous improvement
• Client technical communication and requirement understanding
• Coordination, guidance, and technical review of 1-2 engineers
• Documentation, reporting, and operational knowledge management
• Identification of opportunities for reliability, security, performance, and cost improvement

Cloud Infrastructure Operations

• Own and operate workloads running on managed Kubernetes platforms such as EKS, AKS and GKE, including deployments, scaling, rolling updates, troubleshooting and cluster maintenance.
• Implement, test and maintain backup, restore and recovery workflows for object storage and managed databases.
• Operate and troubleshoot core cloud services including compute, storage, databases, networking, IAM/RBAC and load-balancing services across AWS, Azure and/or GCP:
  • Compute: EC2 / Azure VM / Compute Engine
  • Storage: S3 / Azure Blob Storage / Google Cloud Storage
  • Databases: RDS / Azure SQL or Azure Database / Cloud SQL
  • Networking: VPC / Virtual Network / VPC Network
  • Security: IAM / Azure AD & RBAC / GCP IAM
  • Load Balancers and Networking Services

CI/CD & Automation

• Maintain CI pipelines using tools such as GitHub Actions, GitLab CI, Jenkins or similar for build, test, and artifact management.
• Manage application delivery pipelines using CD tools such as Spinnaker, ArgoCD, Flux, or similar, implementing deployment strategies like Blue-Green or Canary deployments.
• Troubleshoot failed builds, deployments, and releases and identify opportunities to improve deployment reliability and speed.
• Automate repetitive operational activities and reduce manual intervention and operational toil.
• Write and maintain automation scripts (Bash/Python) to streamline deployment workflows and reduce manual effort.

Security & Compliance

• Implement and maintain infrastructure security practices including vulnerability management, IAM/RBAC, least privilege, secrets management, and OS hardening for Linux workloads.

Monitoring, Logging & Performance

• Configure dashboards, alerts, and log pipelines using observability platforms such as Coralogix, Grafana, New Relic, Datadog, or cloud-native monitoring tools.
• Troubleshoot performance and availability issues across infrastructure, containers, networking, and applications.
• Proactively identify reliability and performance issues before they become client-impacting incidents. Own incident response for assigned environments, contribute to RCA, and implement preventive actions.

Linux & System Administration

• Manage Linux-based workloads across compute nodes and Kubernetes clusters, including patching, tuning, troubleshooting, and log analysis.
• Perform OS-level maintenance, troubleshooting, incident response, and recovery while maintaining production availability and security.

Client & Stakeholder Management

• Act as the primary technical DevOps contact for the assigned client.
• Understand client requirements and translate them into technical actions.
• Communicate infrastructure health, incidents, risks, and planned changes clearly.
• Handle routine technical discussions independently.
• Set appropriate expectations and escalate risks when required.
• Maintain professional and responsive communication during production incidents.
• Build trust through predictable execution and transparent communication.

Team Coordination & Mentoring

• Coordinate, guide, and review the work of 1-2 engineers supporting the client environment.
• Review technical work and ensure adherence to engineering standards.
• Help team members troubleshoot complex issues.
• Share knowledge and improve team documentation.
• Proactively escalate capability, delivery, or performance risks.

Required Skills & Experience

• 3-4 years of hands-on DevOps / Cloud Operations experience.
• Strong hands-on production experience with at least one major cloud platform (AWS, Azure, or GCP), with working knowledge of core services across cloud environments.
• Practical experience with Kubernetes deployments in production (preferably EKS).
• Good understanding of GitHub (SCM) and building CI workflows in GitHub Actions.
• Hands-on experience with Infrastructure as Code and automation using Terraform, CloudFormation, Bash and/or Python.
• Experience administering Linux environments (Ubuntu / Amazon Linux).
• Working knowledge of monitoring/logging tools - Cora Logix or similar (New Relic, Grafana, CloudWatch).

What We Look For

• Strong ownership and accountability
• Ability to independently troubleshoot production issues
• Ability to own one client environment end-to-end
• Strong client-facing communication
• Ability to coordinate and guide 1-2 engineers
• Practical and structured problem-solving
• Willingness to learn and adapt to new technologies
• Strong focus on reliability, security, automation, and operational excellence

Success in This Role

After becoming fully effective, you should be able to:

• Independently own and operate one client environment
• Resolve most production issues without constant supervision
• Maintain reliable deployments and infrastructure
• Proactively identify and fix operational risks
• Communicate effectively with the client
• Coordinate 1-2 engineers
• Continuously improve automation, reliability, and cost efficiency