DevOps Engineer (Contract)
Summary
Build and maintain CI/CD pipelines, automate deployments, and manage cloud infrastructure for Java enterprise apps using Docker, Kubernetes, and AWS/Azure.
Responsibilities:
• Application Development & Maintenance:
• Collaborate with development teams to enhance and maintain Java-based enterprise workflow applications.
• Implement and optimize application performance, scalability, and reliability.
• Troubleshoot and resolve application issues across environments.
• DevOps Implementation:
• Design, build, and maintain CI/CD pipelines for efficient application deployment.
• Automate build, test, deployment, and monitoring processes.
• Integrate infrastructure as code (IaC) solutions for provisioning and managing resources.
• Work with the vendors to upgrade the DevOps tools farm and Integrating with tools.
• Configuring SSO, SSL, Load Balancer, Auto Scaling and DNS setup for the DevOps Toolset with naming convention
• System Support & Monitoring:
• Manage cloud-based and on-premise infrastructure supporting enterprise workflow applications.
• Monitor systems for uptime, performance, and security.
• Respond to incidents, perform root cause analysis, and implement preventive measures.
• Collaboration & Documentation:
• Work closely with development, operations, and QA teams to align DevOps practices.
• Document processes, tools, and system configurations.
• Advocate for best practices in DevOps, automation, and application lifecycle management.
• Security & Compliance:
• Ensure applications and systems meet security and compliance standards.
• Implement secure coding practices and conduct regular vulnerability assessments.
Requirements:
Education:
• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2+ years of experience in DevOps engineering.
Essential:
• Deep technical background with hands-on experience with CI/CD tools (Bitbucket, Jenkins, GitLab CI/CD, Azure DevOps, Artifactory, Sonar, Veracode, JIRA and Confluence).
• Experience with continuous testing, techniques and tools (Junit, Sonar Cube, Veracode etc.)
• Proficiency in containerization and orchestration (e.g., Docker, Kubernetes).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and IaC tools (e.g., Terraform, Ansible).
• Strong scripting skills (e.g., Bash, Python, Ruby, PowerShell, Groovy).
• Knowledge of monitoring tools (e.g., Prometheus, Grafana, Splunk).
• AI/LLM (Generative AI, LLM Engineering)
• Familiarity with workflow automation tools and enterprise workflow management systems.
• Strong understanding of Agile and DevOps principles.