AWS Systems Engineer

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