Devops Engineer

DevOps Engineer

Technical Capabilities:

•Automating Tasks: Designing, maintenance and management of tools for automation of different operational processes. Design and write code to automate repetitive tasks, such as provisioning new servers or managing configurations.

•Troubleshooting Outages: When incidents occur, dive into troubleshooting, identifying root causes, and resolving issues promptly.

•On-Call Responsibilities: Participate in on-call rotations, ensuring 24/7 availability and rapid response to incidents.

•Monitoring and Observability: Set up monitoring systems, track key metrics, and respond proactively to anomalies.

•Capacity Planning: Analyze system capacity, predict resource needs, and optimize infrastructure.

•Deployment and Release Management: Deployment, automation, management, configuration and maintenance of AWS cloud-based production system.

Process Capabilities:

•Change Management: Oversee how code is deployed, configured, and monitored.

•Availability and Latency: Focus on maintaining high availability and low latency for services.

•Emergency Response: Incident management, ensuring timely resolution and minimal impact.

•Capacity Management: Assess system capacity, scaling resources as needed.

•Documentation: Document processes, best practices, and incident resolutions.

•Collaboration: Work closely with development teams, fostering collaboration and shared responsibility.

Must Have Skill- Experience as DevOps for large cloud native applications

•Communication: Effective communication and collaboration with cross-functional teams.

•Take initiatives and responsibility of your work

•Manage your own time and work well both independently and as part of a team

•Good understanding of Agile processes

•Experience in code development in at least one high-level programming language.

•System Administration: Familiarity with Operating Systems and networking.

•Cloud Platforms: Extensive experience on AWS platform - EC2, EKS, S3, RDS, IAM, CloudFront, CloudWatch, SNS/SQS, Kubernetes, ElastiCache, Lambda, AWS IOT, Kinesis. Experience with multi-tier architectures: load balancers, caching, web servers, application servers, databases, and networking.

•Monitoring Tools: Knowledge of monitoring and observability tools: Grafana and Splunk.

•Automation: Should be comfortable with infrastructure-as-code (e.g., Terraform, Ansible).

•Problem-Solving: Strong analytical skills to troubleshoot complex issues.

•Deployments Know-How: CI/CD, pods management, Sonar Q, Git, etc.

Nice to Have Skills:

•Experience on enterprise level device manageability and SaaS solutions.

•Some experience on Gen-AI and other AI related capabilities to enhance monitoring tools.

•Azure CI/CD pipeline

Nice to Have SkillAWS Cloud Certification

Python Scripting Knowledge