Job Description

Position Overview:

IN PERSON INTERVIEW MUST

We are seeking a highly skilled

AWS Systems Engineer

to join the MDThink team. The selected candidate will be responsible for designing, implementing, and managing scalable AWS infrastructure with a strong focus on AI/ML services, observability, and automation. This role requires hands-on expertise with AWS services such as

DataZone, SageMaker, Bedrock, Lex, and Textract

, as well as proven leadership in system engineering and DevSecOps best practices.

Responsibilities

Design, implement, and manage AWS infrastructure (EC2, S3, VPC, Lambda, IAM, CloudFormation, Step Functions). Lead the configuration and governance of

AWS DataZone

for secure data cataloging and sharing. Build and manage ML environments using

Amazon SageMaker

and

Bedrock

for model training, deployment, and inference. Deploy and integrate Bedrock foundation models and SageMaker pipelines to support AI/ML teams. Configure and support

Lex chatbots

and

Textract

for intelligent document processing. Collaborate with data scientists and ML engineers to provision and optimize model-serving infrastructure. Implement monitoring and observability using

CloudWatch, OpenTelemetry, X-Ray, AWS Health Dashboard

, and third-party tools (Datadog, Grafana). Automate infrastructure provisioning with

Terraform, AWS CDK, or CloudFormation

. Build and maintain CI/CD pipelines (CodePipeline, CodeBuild, GitHub Actions) for infrastructure and ML workflows. Apply

DevSecOps best practices

to ensure security, compliance, and cost optimization. Ensure encryption, audit logging, and compliance across all deployed services. Participate in security reviews, architecture assessments, and governance initiatives.

Required Qualifications

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (Master's preferred).

6+ years

of experience in systems engineering, DevOps, or cloud infrastructure.

5+ years

hands-on experience with AWS core services (EC2, IAM, Lambda, S3, VPC). Strong expertise in at least

two or more AWS services

: SageMaker, Glue, Athena, Bedrock, Lex, Textract, DataZone. Proficiency with IaC tools:

Terraform, AWS CDK, CloudFormation

. Experience in observability (monitoring, logging, tracing) with CloudWatch and third-party tools. Strong scripting/programming skills (

Python, Spark, Iceberg, SQL

).

Preferred Qualifications

3+ years of experience supervising or leading system engineering teams. Strong leadership, communication, and project management skills. Experience working on government or public sector projects in

Health and Human Services (Child Support, Integrated Eligibility, Child Welfare, Adult Protective Services, Juvenile Justice, MDM, R360, EDMS)

. Background in AI/ML projects with cross-functional team collaboration.
Job Type: Full-time

Pay: ₹1,200,000.00 - ₹2,000,000.00 per year

Benefits:

Food provided Health insurance Provident Fund
Expected Start Date: 25/09/2025