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