AWS DevOps Engineer

Highbrow Technology Inc; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Highbrow Technology Inc. is hiring a hands-on Senior AWS DevOps / Platform Engineer to take AI/GenAI solutions from POC to secure, scalable production services on AWS.

You will build and manage DEV, TEST, and PROD environments, deploy containerised workloads, and implement secure CI/CD pipelines with observability and cost optimisation. Essential experience includes Bedrock and Bedrock AgentCore, Terraform/IaC, and SRE practices.

Qualifications

• 5+ years hands-on experience in AWS DevOps / Platform Engineering.
• Strong ability to build secure, scalable, production-ready AWS environments.
• Proven expertise in container orchestration with Docker and Kubernetes/EKS.

Responsibilities

• Build and manage DEV, TEST, and PROD AWS environments.
• Deploy containerised workloads using Docker, Kubernetes/EKS, ECS, and Bedrock AgentCore.
• Create secure CI/CD pipelines with DevSecOps practices and automated testing.

Skills

AWS

DevOps

Platform engineering

Docker

Kubernetes

Terraform

CI/CD

DevSecOps

OpenTelemetry

CloudWatch

SRE

Bash/Python

Tools

Bedrock AgentCore

Bedrock

ECS

Job description

EXP- 5+ Yrs

We’re looking for a hands-on Senior AWS DevOps / Platform Engineer to take AI, GenAI, and Agentic AI solutions from POC to secure, scalable, production-ready services on AWS.

• Build and manage DEV, TEST, and PROD AWS environments.
• Deploy containerised workloads using Docker, Kubernetes/EKS, ECS, and Bedrock AgentCore.
• Build secure CI/CD pipelines with DevSecOps, automated testing, and rollback capabilities.
• Implement observability using OpenTelemetry/ADOT, CloudWatch, and distributed tracing.
• Drive production reliability, SRE practices, incident management, and AWS cost optimisation.
• Strong hands-on AWS DevOps / Platform Engineering experience.
• Amazon Bedrock and Bedrock AgentCore – essential.
• Docker, Kubernetes/EKS, and Terraform/IaC.
• CI/CD automation, DevSecOps, and AWS security/IAM.
• OpenTelemetry/ADOT, CloudWatch, and monitoring.
• SRE, SLOs, incident management, and Bash/Python scripting.
• Proven experience building, deploying, securing, and operating production-grade AWS environments end-to-end.

Good to Have

• Production AI/GenAI/Agentic AI or AgentOps experience.
• Helm, Argo CD, Prometheus, and Grafana.
• AWS Control Tower, multi-account environments, and disaster recovery.
• MCP/tool/API integrations and SAP environment exposure.