JOB  DETAILS

Key Responsibilities

Cloud Infrastructure and Platform Delivery

• Deploy, maintain, and optimize secure, scalable systems on AWS and Kubernetes.
• Automate infrastructure provisioning using Infrastructure as Code tools like Terraform, Ansible, or CloudFormation.
• Implement cloud security best practices across IAM, networking, encryption, and access controls.

DevOps and Automation

• Design and maintain CI/CD pipelines for reliable software delivery.
• Automate operational processes, environment provisioning, and deployment workflows.
• Implement observability frameworks including metrics, logging, monitoring, and alerting.
• Manage production Kubernetes clusters, troubleshooting and optimizing containerized workloads.

Customer Delivery

• Work directly with enterprise clients to support deployments and operational improvements.
• Translate technical requirements into practical implementation plans and architectural recommendations.
• Support incident resolution and surface client product feedback to internal teams.

Experience and Skills

• Degree in Computer Science, Information Technology, or equivalent practical experience.
• 2 plus years of experience in cloud, DevOps, or platform engineering roles.
• 2 plus years of hands on Kubernetes experience in production environments.
• Strong hands on experience with AWS and deploying cloud based applications.
• Experience building CI/CD pipelines and automating infrastructure.
• Strong troubleshooting skills across Linux, containers, networking, and distributed systems.
• Background in customer facing technical roles within banking or financial services is highly advantageous.
• Strong communication skills, a learning mindset, and the ability to adapt quickly.

Technical Toolkit

• Infrastructure as Code: Terraform, Ansible, CloudFormation
• Containers: Kubernetes, Helm, kubectl, ingress controllers
• CI/CD Tools: GitHub Actions, Jenkins, GitLab CI
• Observability: Prometheus, Grafana, cloud native monitoring tools
• Scripting: Bash, Python, or similar

Bonus Points

• Exposure to multi cloud environments like GCP or Azure.
• Relevant Cloud, Kubernetes, or AI ML certifications.
• Experience supporting AI ML, data intensive workloads, or Generative AI frameworks.
• Familiarity with security, compliance, or data governance requirements.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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