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.