DevOps Engineer - CI/CD Pipeline (7-10 yrs)

Role : DevOps Engineer

Experience : 7-10 years.

Locations : Bangalore.

Mode : Hybrid.

Willing to work in shift : 2:00 PM - 11:30 PM

Role and Responsibilities :

- Application Ownership and Management: Take ownership of critical DevOps and development tools. This includes upgrades, performance optimization, access management, configuration, and vulnerability management.

- Contractor Leadership: Collaborate with and lead outsourced managed services teams, ensuring accountability for application performance and maintenance.

- CI/CD Pipeline Development: Design, implement, and optimize CI/CD pipelines for various applications written in C/C++, Java, JavaScript, Node.js, Angular, Python, and other languages.

- DevSecOps Initiatives: Integrate security scanning tools into pipelines, and lead DevSecOps efforts across the organization.

- Automation Development: Create custom automations using various product-specific APIs to generate reports, metrics, and enhance workflows.

- Cloud Infrastructure Management: Work extensively with Azure cloud infrastructure, including services like Azure Databricks and Azure ML.

- AI and MLOps Support: Contribute to AI and MLOps initiatives, working with tools like Azure Databricks and OpenAI.

Mandatory Skills :

- Strong programming skills in Python and Linux bash scripting

- Extensive experience with DevOps practices and tools

- Proficiency in developing and maintaining CI/CD pipelines

- Ability to quickly learn and effectively utilize product-specific APIs

- Familiarity with cloud platforms, particularly Azure

- Experience with containerization technologies (e.g., Docker, Kubernetes)

- Strong analytical and problem-solving skills

- Excellent communication abilities, both written and verbal

- Ability to quickly adapt to new technologies and learn independently

- Bachelor's degree in Computer Science, Software Engineering, or related field

Preferred :

- Experience with common DevOps tools and platforms (e.g., Jenkins, Artifactory, SonarQube)

- Knowledge of security best practices and DevSecOps principles

- Familiarity with AI and MLOps concepts and tools (e.g., Azure Databricks, OpenAI)

- Experience with big data processing and analytics platforms

- Experience leading or mentoring other team members or contractors.