Software Engineer (Devops, Github, CI/CD)

Key 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. Key Requirements: Bachelor's degree in Computer Science, Engineering, or related field. 2+ years of experience in DevOps engineering. 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.

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