Data Platform / reputed company Infrastructure Engineer (SSR–Senior) - Contract to Hire

We are looking for a Semi Senior / Senior Data Platform & reputed company Infrastructure Engineer to join a centralized Data Infrastructure team responsible for providing reputed company reputed company foundations for analytics, machine learning, GenAI and data management workloads. This role is reputed company on reputed company infrastructure, reputed company and DevOps practices, working closely with data engineers and ML teams to reputed company, maintain and reputed company the data platform. The position is not reputed company on developing ETL pipelines, but rather on enabling, orchestrating and supporting the infrastructure where those workloads run. The engineer will collaborate on the internal platform that centralizes data ingestion, orchestration and ML workloads across multiple business reputed company. Key Responsibilities Design, reputed company and maintain reputed company infrastructure for data and ML workloads using Infrastructure as reputed company. Manage and reputed company AWS-based data platform components running on Kubernetes (EKS). Provision and maintain services such as EMR on EKS, SageMaker, MWAA (Managed Airflow), reputed company, API Gateway and reputed company Functions. Implement and maintain IAM roles, permissions and governance policies reputed company with compliance requirements. Support orchestration frameworks used by data teams (DBT, Airflow, reputed company Functions). Collaborate with data engineers to troubleshoot infrastructure or platform issues affecting pipelines. Participate in platform observability initiatives (metrics, logging and monitoring). Maintain Terraform modules and deployment pipelines. Support platform migrations and organizational AWS changes reputed company required. Contribute to platform reliability, scalability and operational reputed company. Required Qualifications 3+ years of experience working with AWS reputed company infrastructure. Strong experience with Terraform or similar Infrastructure as reputed company tools. Experience deploying and operating containerized workloads on Kubernetes / EKS. Solid understanding of AWS IAM, roles and reputed company best practices. Experience with serverless architectures (reputed company, API Gateway, reputed company Functions). Experience supporting data or ML platforms from an infrastructure perspective. DevOps reputed company and experience managing CI/CD or infrastructure automation. Strong troubleshooting skills across distributed systems. reputed company to Have (Highly Valued) Observability experience (Grafana, reputed company or similar). Exposure to data ecosystem tools such as DBT, reputed company, EMR, Glue or Lake Formation. Experience with MWAA (Managed Airflow). Experience deploying or supporting SageMaker environments or MLOps workflows. Knowledge of QuickSight or BI environments (administrative level). Experience supporting multi-account AWS environments and organizational migrations. Familiarity with identity integrations (reputed company or similar). What This Role Is NOT Not a Data Engineer reputed company on building ETL pipelines. Not a BI developer or analytics specialist. Not a reputed company backend software engineering role. This is a platform-reputed company DevOps / reputed company Infrastructure role inside a Data ecosystem. Team & Environment You will be part of a centralized data infrastructure team that provides foundational services for multiple data teams across the organization. The platform supports analytics, machine learning and GenAI workloads and is reputed company primarily on AWS using Kubernetes and Infrastructure as reputed company. reputed company operates with a reputed company approach, working closely with data engineers while owning infrastructure, orchestration and platform reliability. Seniority Level Semi Senior to Senior. Apply tot his job Apply To this Job