7 years relevant experience. Experience working in CIAM (Customer Identity Access Management) projects Must have skills: JAVA, Spring/SpringBoot, REST API, Microservices - JAVA or NODE.JS, JBOSS, SQL, MS Azure (Azure EventHub, Confluent Kafka, Azure App Service Environment, ASP) or AWS equivalent. Working Knowledge: Bitbucket, GIT, Confluence, JIRA, Strong experience in DevOps pipeline, CI/CD and related tools Strong understanding of user life cycle, RBAC policies, enterprise roles, rules, Lifecycle events and provisioning workflows etc. to enable the engineering and onboarding of systems and applications. Working knowledge of IAM industry standards & protocols including SAML, OpenID Connect, Oauth, RBAC, LDAP, Kerberos, etc. Nice to Have: Kubernetes, MQ, OAuth and Event Driven messaging, Postman, O/S (Windows, Linux), Jboss scripting/CLI, prior FI experience. Expert knowledge of the business, broader organization, technical environment, standards, processes, tools, procedures, multiple programming languages, operating systems, solutions design and other relevant technology areas from a design/support/solutions perspective. Readiness and motivation to work autonomously in a lead capacity on a diverse range of activities (e.g. design, support of technical business solutions) and can be relied on to coach, educate and monitor the work of others. Primary subject matter expertise in multiple areas; you're seasoned in counselling clients and project teams on all aspects of research, analysis, design, hardware and software support, development of technical solutions and testing. Involvement coaching and advising clients, partners and project teams; capable of being an internal expert resource in "technical information exchange". Commitment to and belief in the quality of your deliverables. Job Type: Full-time Pay: ₹1,500,000.00 - ₹2,500,000.00 per year Work Location: In person
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