DevOps Automation Engineer (AWS, Docker/Kubernetes) US Client

Key Responsibilities

• Design and implement scalable monitoring and automation solutions on AWS.
• Continuously improve the existing DevOps platform through collaboration with internal and external stakeholders.
• Build capabilities around emerging DevOps tools and technologies aligned with business needs.
• Provide technical leadership, mentorship, and guidance to engineering teams.
• Advise stakeholders and customers on modern DevOps practices, tools, and automation strategies.
• Define and enforce DevOps processes, standards, and best practices.
• Ensure compliance with security policies and implement DevSecOps practices.
• Lead technical discussions, solution design, and delivery execution.

Jira & Confluence Administration

• Administer and manage Jira and Confluence environments ensuring high availability and performance.
• Customize workflows, permissions, dashboards, and reports.
• Configure and manage plugins, integrations, APIs, and webhooks.
• Provide user support, training, and documentation (runbooks, workflows).
• Collaborate with stakeholders to translate business requirements into tool configurations.

Required Skills & Experience

Core Technical Skills

• Strong experience with AWS Cloud (Public & Private) services:
• Lambda, S3, EC2, ECS, EKS, Fargate
• Route53, ELB/NLB
• CloudWatch, IAM, VPC
• Auto Scaling, AWS CLI, CloudFormation
• Hands-on experience with containerization and orchestration:
• Docker, Kubernetes (EKS, Kops)
• Expertise in monitoring & observability tools:
• Grafana, Prometheus, Fluentd
• Experience building and managing CI/CD pipelines:
• Jenkins (master/slave configuration)
• Proficiency in DevOps tools:
• GitHub, Jenkins, Jira, Confluence, Artifactory, Kibana
• Strong scripting skills:
• Groovy, Python, Ruby, Go

Infrastructure & Automation

• Experience with Infrastructure as Code:
• CloudFormation (required), Terraform (preferred)
• Configuration management tools:
• Ansible (preferred)
• Experience with auto-scaling and cloud architecture design principles
• Knowledge of configuration-as-code and documentation-as-code

Systems & Networking

• Solid understanding of:
• AWS networking and security
• DevSecOps principles
• Reverse proxy servers (NGINX)
• Hands-on experience in Unix/Linux administration
• Understanding of AWS billing and cost optimization

Experience Requirements

• 10–12 years of overall IT experience
• Minimum 4 years of hands-on experience with Kubernetes and containerization
• Proven experience building Docker containers across multiple technologies
• Strong experience working in Agile environments

Preferred / Good-to-Have Skills

• Advanced Kubernetes administration (cluster upgrades, scaling, best practices)
• Experience with Terraform and Ansible
• Strong background in AWS networking and security architectures

Soft Skills

• Excellent troubleshooting and problem-solving abilities
• Strong communication and stakeholder management skills
• Leadership mindset with mentoring capabilities
• Ability to work in a fast-paced, collaborative environment