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
