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AWS Infrastructure Administrator

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Tata Consultancy Services Limited
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Data Engineering, AWS
Salary/Wage Range or Industry Benchmark: 140000 - 150000 USD Yearly USD 140000.00 150000.00 YEAR
Job Description & How to Apply Below

Overview

Location:

San Francisco, CA

Salary Range: $140,000-$150,000 per year

Experience:

10 - 20 years

Responsibilities
  • Design, implement, and manage AWS-based data infrastructure using services such as S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, and RDS.
  • Build and maintain scalable, fault-tolerant data pipelines supporting both batch and streaming workloads.
  • Support data lake architectures and analytics platforms for enterprise use cases.
  • Implement Infrastructure as Code (IaC) using Terraform and/or AWS Cloud Formation; automate provisioning, deployments, and operational tasks via CI/CD pipelines.
  • Continuously improve platform efficiency through automation and standardization; optimize data storage, compute resources, and query performance for cost efficiency.
  • Monitor and tune workloads for high availability, scalability, and performance; ensure robust cloud security practices including IAM, encryption, VPC configurations, and secure access controls.
  • Implement logging, auditing, and compliance frameworks aligned with enterprise policies; enforce data governance and access control standards across platforms.
  • Design and implement monitoring, alerting, and observability frameworks and integrate tools such as Cloud Watch, Datadog, Prometheus, and Grafana; develop dashboards, alerts, and SLIs/SLOs.
  • Collaborate with data engineers, analysts, and platform teams to enable analytics use cases; participate in architecture reviews and recommend best practices for AWS data platforms.
  • Provide operational support and troubleshooting for platform incidents and performance issues.
Qualifications
  • Strong experience with AWS data services: S3, Glue, EMR, Redshift, Athena, Lambda, Kinesis, RDS.
  • Proficiency in Python and SQL (Scala a plus).
  • Hands-on experience with Infrastructure as Code (Terraform / Cloud Formation).
  • Experience with Apache Spark, EMR, Kafka or similar streaming platforms.
  • Familiarity with orchestration tools such as Apache Airflow or equivalent workflow automation tools.
  • Experience integrating and managing observability tools and data platform & lakehouse exposure; experience with Data Lake architectures; understanding of modern data platform patterns.
  • Understand and implement scalable data pipelines, cloud security practices, and governance.
  • Educational requirement:
    Bachelor of Computer Science or equivalent.
Benefits
  • Discretionary Annual Incentive.
  • Comprehensive medical coverage including medical & health, dental & vision; disability planning & insurance; pet insurance plans.
  • Family support: maternal & parental leaves.
  • Insurance options: auto & home insurance, identity theft protection.
  • Convenience & professional growth: commuter benefits & certification & training reimbursement.
  • Time off: vacation, sick leave & holidays.
  • Legal & financial assistance: legal assistance, 401K plan, performance bonus, college fund, student loan refinancing.

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