DevOps Lead - Docker/Kubernetes (6-7 yrs)

About the Job :

We are looking for a highly skilled DevOps Lead with extensive experience in managing high-volume enterprise systems.

The ideal candidate will have at least 6+ years of experience in designing and maintaining DevOps pipelines, with a strong background in Linux/Unix systems administration, containerization, and automation tools.

A solid understanding of financial domain systems will be a plus, as you will be working in a high-stakes, always-available environment.

As a DevOps Lead, you will take charge of deploying and managing enterprise Java applications using Docker/Kubernetes, ensuring that systems are scalable, reliable, and secure.

Key Responsibilities :

- Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, TeamCity, GitLab, and Maven/Gradle, ensuring efficient and automated build, deployment, and monitoring processes.

- Lead the design of infrastructure and deployment automation, optimizing workflows for enterprise Java applications using modern DevOps practices.

- Containerize enterprise Java applications using Docker and Kubernetes, ensuring they are scalable and portable across different environments (dev, test, prod).

- Manage and optimize containerized application environments and Kubernetes clusters for maximum efficiency and availability.

- Leverage your deep expertise in Linux/Unix administration to configure, maintain, and optimize enterprise-grade systems.

- Provide support for networking, information security, and system configurations, ensuring the secure and reliable operation of enterprise applications.

- Implement and maintain monitoring and logging solutions using tools such as Zabbix, Nagios, and CloudWatch Monitoring.

- Ensure systems are proactively monitored, with alerts set up for critical application and infrastructure performance metrics.

- Troubleshoot issues across the entire system stack, from application code to infrastructure, ensuring issues are identified and resolved in a timely manner.

- Optimize performance at both the infrastructure and application levels, working with technologies like Apache Kafka, Apache Tomcat, and Nginx.

- Focus on ensuring scalability, high availability, and minimal downtime for mission-critical systems.

- Work closely with development, operations, and security teams to ensure alignment on best practices for deployment, monitoring, and scaling.

- Lead the efforts to establish and enforce DevOps best practices across the organization.

- Mentor and guide junior DevOps engineers, fostering a collaborative and learning-focused team environment.

- Integrate information security practices into DevOps processes, ensuring secure coding, configuration management, and secure deployment pipelines.

- Stay current on security trends, vulnerabilities, and regulatory compliance standards relevant to enterprise applications.

- Use Python and Shell scripting to automate manual processes, improve deployment efficiency, and create monitoring tools and custom solutions for continuous improvement.

- Oversee the deployment and maintenance of enterprise applications, including those built with Microservices architectures, ensuring they meet performance, availability, and security standards.

- Work with teams to plan and execute infrastructure upgrades, application updates, and performance improvements.

Experience :

- 6+ years of hands-on experience in DevOps roles with a focus on high-volume enterprise systems and applications.

- Extensive experience in Linux/Unix administration, system automation, and managing enterprise-level infrastructure.

- Solid experience in containerization (Docker) and orchestration (Kubernetes) of Java-based applications.

- Proficiency with CI/CD pipeline tools such as Jenkins, TeamCity, GitLab, and build automation tools like Maven/Gradle.

- Experience working with Apache Kafka, Apache Tomcat, Nginx, IBM MQ, and other enterprise application servers.

- Familiarity with Microservices architecture and deployment.

- Strong background in programming, particularly in scripting languages like Python and Shell.

- Knowledge of CI/CD, Automation tools (Puppet, Chef), and version control systems (Git).

- Familiarity with monitoring tools like Nagios, Zabbix, CloudWatch for maintaining performance and availability.

- Understanding of networking, firewalls, information security concepts, and their integration into DevOps processes