Technical Support Engineer

About the Role

This Technical Support Engineer role is a hands-on position that combines engineering, operations, and AI tooling. You will be responsible for building internal tools, utilities, and automation frameworks that raise the technical bar for the entire team.

You will own deployment pipelines, cloud infrastructure, and drive AI-assisted workflows that meaningfully improve team productivity and delivery velocity.

Key Responsibilities

• Design, build, and maintain internal tools, scripts, and utilities in Python/JAVA that streamline AppOps workflows.
• Build AI-powered utilities leveraging LLM APIs, or similar frameworks to assist team with diagnostics, automation, and knowledge retrieval.
• Manage and evolve Kubernetes-based deployment infrastructure (EKS/self-managed clusters).
• Build and maintain CI/CD pipelines (GitHub Actions, Jenkins, ArgoCD or similar).
• Define and enforce Infrastructure as Code (IaC) practices using Terraform or CloudFormation.
• Own deployment runbooks and ensure zero-downtime release practices.
• Architect and manage AWS/Azure services - EC2, EKS, Lambda, S3, RDS, IAM, CloudWatch, etc.

Skills & Qualifications

• Strong application + scripting development; building tools, REST API clients, automation, CLIs.
• EKS and AKS management, Helm, RBAC, namespacing, resource policies, K8s troubleshooting at scale.
• Hands-on with core services; experience with EKS, Lambda, IAM, CloudWatch, Secrets Manager, CloudFormation.
• LLM API integration, prompt engineering, building AI-assisted utilities (Claude, GitHub Copilot, LangChain, Azure OpenAI, AWS Bedrock).
• Terraform (required); Bicep or CloudFormation as a plus; managing multi-environment state.
• Prometheus, Grafana, Datadog, ELK/OpenSearch, CloudWatch, Azure Monitor.
• Docker, multi-stage builds, image optimization, container security scanning.
• Bash, YAML fluency, Linux environments; comfortable in the terminal.
• Exposure to scripting language (Ansible, Perl, Python, Ruby, Shell script, Powershell etc.).
• Experience in working with tools like OpsGenie, Nagios, Rundeck.
• Good understanding in Kubernetes.
• Cloud / Application level Security experience.
• Experience in Banking & Financial domain.
• Has worked in an Agile / Sprint development model.

What You'll Learn

In this role, you will have the opportunity to learn and grow in a fast-paced, collaborative, and creative environment.

You will gain hands-on experience with building internal tools, utilities, and automation frameworks, as well as AI-assisted workflows.

You will also learn about cloud infrastructure, deployment pipelines, and CI/CD pipelines.

Resume Tip

When applying for this role, make sure to highlight your experience with scripting languages, cloud infrastructure, and automation frameworks.

Also, be sure to mention any experience you have with AI-assisted workflows, LLM APIs, or similar frameworks.

Additionally, highlight your experience with tools like OpsGenie, Nagios, Rundeck, and Kubernetes.

Finally, be sure to emphasize your ability to work in a fast-paced, collaborative, and creative environment.