Role Overview :

We are looking for a Senior DevOps Engineer to design, build, and operate the AWS cloud infrastructure that powers our health plan technology platform. This role blends hands-on cloud engineering, infrastructure automation, CI/CD ownership, and production reliability, with a strong expectation of AI-assisted engineering practice. You will be based in Hyderabad in a hybrid, full-time role, working closely with Architects, software engineering teams, and security to keep the platform scalable, secure, and cost-efficient.

Key Responsibilities

- Design, build, and operate AWS cloud infrastructure for production-grade, distributed systems, using infrastructure-as-code (Terraform and/or CloudFormation)
- Support CI/CD pipelines (e.g., Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline) to enable fast, reliable, and safe software delivery
- Build, operate, and troubleshoot containerized workloads on Kubernetes-based platforms, including AWS EKS and Red Hat OpenShift
- Implement and maintain observability across the platform: Monitoring, Logging, Tracing, and Alerting (CloudWatch, Prometheus, Grafana, Datadog, ELK, or similar)
- Automate operational tasks such as provisioning, patching, scaling, backup/DR, and cost optimization using scripting and automation tools (Python, Bash, Go)
- Own cloud security and compliance posture: IAM policies, network security (VPC, security groups, WAF), secrets management, and vulnerability remediation
- Lead incident response, root-cause analysis, and post-incident reviews for production issues, driving lasting reliability improvements
- Partner with software engineering, architecture,



and security teams to embed DevOps and SRE best practices across delivery teams
- Support disaster recovery, business continuity planning, and high-availability architecture for critical systems

Required Qualifications

- Bachelor's degree in computer science, Engineering, or a related field
- 57 years of experience in DevOps, Cloud Engineering, Site Reliability Engineering, or Infrastructure Engineering roles
- Hands-on experience with AWS across compute, storage, networking, and security services (EC2, VPC, IAM, S3, RDS, Lambda, Route 53, CloudWatch)
- Experience with Infrastructure-as-Code tools such as Terraform and/or AWS CloudFormation
- Strong experience building and maintaining CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, AWS CodePipeline, or similar)
- Hands-on experience operating containerized workloads on Kubernetes-based platforms, including AWS EKS and/or Red Hat OpenShift
- Strong scripting and automation skills in Python, Bash, and/or Go
- Experience with observability and monitoring tooling (CloudWatch, Prometheus, Grafana, Datadog, ELK, or similar)
- Solid understanding of cloud security practices: IAM, network security, secrets management, and vulnerability management
- Good problem-solving and troubleshooting skills
- Excellent written and verbal communication skills for cross-functional and client-facing collaboration





AI Knowledge & AI-Assisted Development (Required)

- Daily, practical use of AI coding/assistant tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate writing and reviewing Terraform/CloudFormation templates, CI/CD pipeline definitions, and automation scripts
- Able to critically review and validate AI-generated infrastructure code and scripts for correctness, security, and cost implications before applying them to production environments
- Practical use of AI tools to assist with log and incident analysis, runbook generation, and operational documentation
- Understanding of secure and compliant AI tool usage, including never entering credentials, secrets, PHI, member data, or other sensitive information into prompts or external AI tools
- Able to identify where AI-driven automation can improve infrastructure delivery, incident response, or operational efficiency, and champion adoption within the team

Preferred Qualifications

- Experience in the health insurance or payer domain, with HIPAA-aware infrastructure and data-handling practices
- Experience supporting distributed application stacks built in Go, Python, and/or Node.js
- Relevant certifications such as AWS Certified DevOps Engineer, AWS Certified Solutions Architect (Associate or Skilled), Certified Kubernetes Administrator (CKA), or Red Hat Certified Specialist in OpenShift Administration
- Experience with service mesh, API gateways, or event-streaming platforms such as Kafka
- Experience in a consulting or managed services environment supporting multiple clients or business units

📌 Hiring - Senior Engineer - DevOps - Hyderabad - MNC
🏢 Tranzeal
📍 Hyderabad