DevOps Engineer (Contract)

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.