DevOps Engineer

Role Overview

We are seeking a
DevOps Engineer
with strong hands-on experience in
AWS AI services including Amazon Bedrock, AWS Lex, and Amazon Connect
. The ideal candidate will have expertise in
deploying and scaling AI/ML infrastructure
, implementing
CI/CD pipelines
, and managing
cloud-native environments using Infrastructure as Code
.

Must Have Skills

- Hands-on experience with
Amazon Bedrock, AWS Lex, and Amazon Connect
.
- Strong background in
DevOps practices, CI/CD pipelines, and Infrastructure as Code (Terraform)
.
- Experience deploying and scaling
AI/ML workloads in AWS production environments
. Development experience with
Python, Java, and React
.

Key Responsibilities

- Design and manage
AI/ML infrastructure using Amazon Bedrock, AWS Lex, and Amazon Connect
.
- Build and maintain
CI/CD pipelines
for automated build, testing, and deployment.
- Implement
Infrastructure as Code using Terraform
to provision AWS environments.
- Collaborate with engineering teams to integrate
DevOps best practices
into development workflows.
- Contribute to development tasks using
React, Python, and Java
when required.
- Implement
IAM policies, network security controls, and cloud security best practices
.
- Set up
logging, monitoring, and observability frameworks
for system performance and reliability.
- Scale
AI/ML applications in production environments
, ensuring high availability and performance.
- Drive
automation and continuous improvement
across DevOps and cloud infrastructure.

Required Experience

- Strong hands-on experience with
Amazon Bedrock, AWS Lex, and Amazon Connect
.
- Experience deploying and managing
AI/ML infrastructure at scale
.
- Strong knowledge of
DevOps practices, CI/CD pipelines, and Terraform
.
- Experience with
AWS cloud architecture and security best practices
.
- Development experience with
Python, Java, and React
.
- Experience implementing
logging, monitoring, and observability solutions
.