Sr. DevOps Engineer - (CI/CD & Kubernetes)

We are looking for an experienced Senior DevOps Engineer to join a technology engineering team supporting enterprise-scale platforms and advanced analytics environments. The role will focus on building and managing automated CI/CD pipelines, containerized platforms, infrastructure automation, security integration, and production engineering across highly available and regulated environments.

The ideal candidate will have strong hands-on experience with Jenkins, GitHub Actions, ArgoCD, Kubernetes/OpenShift, Docker, Helm, Terraform, Ansible, Groovy, Python, Linux, and Git, with a strong understanding of DevOps, SRE, Infrastructure as Code, security engineering, and Agile delivery practices.

We are looking for someone who enjoys collaboration, experimentation, solving problems, and continuously learning.

Key Responsibilities

• Design, build, maintain, and optimize automated CI/CD pipelines for Python-based applications and microservices.
• Develop and manage CI/CD pipelines using Jenkins, GitHub Actions, and ArgoCD.
• Build and maintain microservices CI/CD pipelines using modern DevOps practices.
• Develop and maintain Helm-based deployment pipelines for containerized applications.
• Automate application deployment, configuration management, infrastructure provisioning, and operational processes.
• Implement and maintain GitOps-based deployment workflows using tools such as ArgoCD.
• Automate security, compliance, and regulatory checks within CI/CD pipelines.
• Integrate DevSecOps tools into CI/CD pipelines, including tools such as SonarQube, Checkmarx, Sysdig, Nexus, Nexus IQ, Cosign, and related security/quality tooling.
• Implement automated patching and configuration management across environments.
• Design, deploy, and manage containerized applications using Docker, Kubernetes, OpenShift, and Podman.
• Work with Terraform, Ansible, and other Infrastructure as Code (IaC) tools to provision and manage environments.
• Develop automation scripts using Groovy, Python, and Linux shell scripting.
• Support API development and integration within deployment and automation pipelines.
• Troubleshoot and resolve infrastructure, application, deployment, and pipeline-related issues.
• Provide production support and participate in on-call/production support rotations where required.
• Monitor application and platform health using tools such as ELK, Prometheus, and Grafana.
• Implement and maintain secure authentication and authorization mechanisms for microservices.
• Collaborate with development, security, infrastructure, platform, and product teams to ensure successful delivery and adoption of technology platforms.
• Support application and platform onboarding through self-service and automation.
• Work with teams to ensure smooth transition, adoption, and consumption of platform services.
• Contribute to technical design discussions, engineering standards, automation strategies, and platform improvements.
• Continuously evaluate emerging technologies and industry best practices to improve engineering efficiency and platform capabilities.

Required Technical Skills

CI/CD & DevOps

• Strong hands-on experience with CI/CD pipelines.
• Experience with Jenkins and/or GitHub Actions.
• Experience with ArgoCD / GitOps.
• Strong understanding of pipeline automation using Groovy, Python, or Pipeline-as-Code.
• Experience building CI/CD pipelines for microservices and Python-based applications.
• Experience with Helm-based deployment pipelines.
• Understanding of DevOps and SRE principles.
• Strong understanding of 12-Factor application principles.

Containers & Orchestration

• Strong hands-on experience with Docker.
• Experience with Kubernetes and/or OpenShift.
• Exposure to Podman.
• Experience deploying and managing containerized applications in enterprise environments.

Infrastructure as Code & Automation

• Hands-on experience with Terraform.
• Experience with Ansible.
• Strong scripting experience using:
• Groovy
• Python
• Linux Shell/Bash

Security & DevSecOps

• Experience integrating security and compliance checks into CI/CD pipelines.
• Knowledge of DevSecOps practices and security engineering.
• Exposure to tools such as:
• SonarQube
• Checkmarx
• Sysdig
• Nexus
• Nexus IQ
• Cosign
• Understanding of secure software delivery and regulatory requirements.

Cloud & Infrastructure

• Strong understanding of infrastructure, networking, and cloud computing concepts.
• Hands-on or working experience with public cloud platforms such as:
• Microsoft Azure
• AWS
• OCI
• Understanding of cloud services across compute, storage, and networking.

Operating Systems & Source Control

• Strong knowledge of Linux/Unix operating systems.
• Good experience with Linux shell scripting.
• Strong experience with Git and source-control practices.
• Working knowledge of Windows environments is desirable.

Monitoring & Observability

• Experience with logging, monitoring, and observability platforms such as:
• ELK
• Prometheus
• Grafana

APIs & Microservices

• Understanding of REST/API development and integration.
• Experience working with microservices architectures.
• Understanding of microservice authentication and authorization.
• Experience integrating APIs into CI/CD and automation workflows.

Required Experience

• 3–5+ years of engineering, DevOps, platform engineering, or operational experience.
• At least 3 years of relevant experience in a similar DevOps/Platform Engineering role.
• Experience working within large, complex, highly available enterprise environments.
• Experience supporting systems with high availability, transaction volumes, and geographically distributed environments is preferred.
• Strong experience in CI/CD, containerization, infrastructure automation, and production support.

Domain Experience

Candidates from the following environments are preferred:

• Banking
• Financial Services
• FinTech
• Insurance
• Telecommunications
• Healthcare
• Government
• Or other highly regulated / enterprise environments

Nice to Have

• Public cloud experience with Azure, AWS, or OCI.
• Experience supporting Machine Learning / ML projects or analytics platforms.
• Python programming experience.
• Experience with advanced analytics or data engineering platforms.
• Exposure to enterprise platform engineering and self-service infrastructure.
• Experience implementing cost optimization and platform efficiency initiatives.

Agile & Delivery

• Experience working in Agile engineering environments.
• Understanding of Agile/DevOps delivery methodologies.
• Ability to work across development, operations, security, infrastructure, and product teams.
• Experience managing delivery from inception through production.
• Strong understanding of operational support within a DevOps/SRE model.
• Ability to work under pressure and manage multiple priorities.
• Strong troubleshooting, incident management, and problem-solving skills.

Key Behavioral Competencies

We are looking for someone who:

• Enjoys collaboration and cross-functional teamwork.
• Likes to experiment with new technologies and approaches.
• Focuses on understanding the problem, not just implementing a solution.
• Is a self-starter with strong initiative.
• Remains calm under pressure.
• Takes ownership of delivery and operational outcomes.
• Has a pragmatic but engineering-focused approach to problem solving.
• Is eager to learn and adapt to new technologies.
• Has strong communication and articulation skills.
• Can build professional and trusted relationships with technical and business stakeholders.