Senior DevOps L3(Mum/Hyd)

8 - 10 years

4 - 5 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Job Type

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Job Description

Experience: 8 - 10 years
Location: Hyderabad / Mumbai Work Mode: WFO 5 Days Senior DevOps Engineer L3 – CI/CD, Kubernetes & Security

Position Overview We are seeking an experienced Senior DevOps Engineer with deep expertise in Jenkins, Docker, Ansible, and Kubernetes to architect and maintain secure, scalable infrastructure and CI/CD pipelines. This role emphasizes security-first DevOps practices, on-premises Kubernetes operations, and integration with data engineering workflows. Core 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
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

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