DevOps Engineer L3

About The Role

🛠 Required Skills & Experience

Technical Expertise

• Jenkins (Expert): Advanced pipeline development, DSL scripting, security integration, troubleshooting
• Docker (Expert): Secure multi-stage builds, vulnerability management, optimisation for Java/Scala/Python
• Ansible (Expert): Complex playbook development, configuration management, automation at scale
• Kubernetes (Expert - Primary Focus): On-premises cluster operations, security hardening, networking, storage management
• SonarQube/Code Quality (Strong): Integration, quality gate enforcement, threshold management
• DevSecOps (Strong): Security scanning, compliance automation, vulnerability remediation, workload governance
• Spark ETL/ETA (Moderate): Understanding of distributed data processing, job configuration, runtime behavior
  

Core Competencies

• Deep understanding of DevSecOps principles and security-first automation
• Strong troubleshooting and problem-solving abilities across complex distributed systems
• Experience with infrastructure-as-code and GitOps methodologies
• Knowledge of compliance frameworks and security standards
• Ability to mentor teams and drive best practice adoption
  

🎓Qualifications

• 6 - 10 Years years of hands-on DevOps
• Proven track record with Jenkins, Docker, Kubernetes, and Ansible in production environments
• Experience managing on-premises Kubernetes clusters (bare-metal preferred)
• Strong background in security hardening and compliance automation
• Familiarity with data engineering platforms and big data technologies
• Excellent communication and collaboration skills
  

Key Responsibilities

• CI/CD Pipeline Architecture & Security
• Design, implement, and maintain enterprise-grade CI/CD pipelines in Jenkins with embedded security controls:
• Build greenfield pipelines and enhance/stabilize existing pipeline infrastructure
• Diagnose and resolve build, test, and deployment failures across multi-service environments
• Integrate security gates, compliance checks, and automated quality controls at every pipeline stage
• Manage and optimize SonarQube and static code analysis tooling:
• Enforce code quality and security scanning standards across all services
• Maintain organizational coding standards, vulnerability thresholds, and remediation workflows
• Automate quality gates as integral components of CI/CD processes
• Engineer optimized Docker images for Java, Scala, and Python applications:
• Implement multi-stage builds, layer optimization, and minimal base images
• Conduct image vulnerability scanning and enforce compliance policies
• Apply containerization best practices for security and performance
• Develop comprehensive Ansible automation:
• Create modular, reusable, and secure playbooks for configuration management
• Automate environment provisioning and application lifecycle operations
• Maintain infrastructure-as-code standards and version control
• Kubernetes Platform Operations & Security
• Lead complete lifecycle management of on-premises/bare-metal Kubernetes clusters:
• Cluster provisioning, version upgrades, node maintenance, and capacity planning
• Configure and manage networking (CNI), persistent storage solutions, and ingress controllers
• Troubleshoot workload performance, resource constraints, and reliability issues
• Implement and enforce Kubernetes security best practices:
• Design and manage RBAC policies, service account isolation, and least-privilege access models
• Apply Pod Security Standards, network policies, secrets encryption, and certificate lifecycle management
• Conduct cluster hardening, security audits, monitoring, and policy governance
• Provide technical leadership to development teams:
• Guide secure deployment patterns and containerized application best practices
• Establish workload governance frameworks for distributed systems
• Drive adoption of security-first mindsets across engineering teams
• Data Engineering Support
• Collaborate with data engineering teams on Spark-based workloads:
• Support deployment and operational tuning of Spark ETL/ETA jobs
• Understand cluster integration, job orchestration, and performance optimization
• Debug and troubleshoot Spark workflow issues in production environments