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.

Requirements

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.