Developer

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:
• 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.

Key Domain/ Technical Skills

· Experience with enterprise workflow platforms such as Camunda, Apache Airflow, or similar.

· Knowledge of RESTful API design and integration.

· Certifications in cloud platforms, or DevOps tools (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).