Job description
We are seeking a Senior Technology Engineer – DevOps with strong expertise in Infrastructure as a Service (IaaS) and Platform as a Service (PaaS) .
The ideal candidate is hands-on, highly collaborative, and passionate about building scalable, secure, and automated systems in a regulated environment (Banking/FinTech) .
This role requires someone who enjoys experimenting, solving complex problems (not just implementing solutions), and continuously learning new technologies .
Key Responsibilities Design, build, and maintain automated CI/CD pipelines for microservices-based architectures Implement build and deployment pipelines using tools like Jenkins, GitHub Actions, and ArgoCD Develop and manage Helm-based deployment pipelines for Kubernetes environments Automate security and regulatory compliance checks across CI/CD workflows Perform automated patching and infrastructure updates Work with containerization (Docker) and orchestration platforms such as Kubernetes/OpenShift Collaborate with cross-functional teams in an Agile environment Provide production support (on a rotational basis) Maintain and enhance source control practices (Git) Write and maintain scripts using Groovy, Shell, and Python (preferred) Required Skills & Experience Core DevOps Expertise Strong experience in CI/CD pipeline automation (Jenkins, GitHub Actions, ArgoCD) Hands-on experience with microservices architecture and deployments Proficiency in Docker and Kubernetes/OpenShift Experience in Helm chart development and deployment pipelines Programming & Scripting Working knowledge of Python (preferred) Strong scripting skills using Groovy and Shell scripting Systems & Infrastructure Strong experience with Linux OS and administration Experience in Infrastructure Automation & Patching Version Control Proficient in Git-based source control systems Additional Knowledge Good understanding of network fundamentals Familiarity with security engineering practices and tools Experience in regulated environments (Banking, FinTech, or similar industries) Nice to Have Exposure to public cloud platforms (AWS, Azure, GCP) Experience working on Machine Learning (ML) projects or pipelines Soft Skills Strong collaboration and communication skills Passion for continuous learning and experimentation Ability to analyze and solve complex engineering problems Proactive and ownership-driven mindset Domain Preference Banking sector (Highly Preferred) FinTech Any highly regulated industry
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