Platform Engineer, AWS & Data Lake Infrastructure
Overview
Design, build, and maintain the AWS infrastructure underpinning a large-scale data lake and agent runtime environments. You will own the stability, scalability, and security of production environments enabling data science and agentic AI workloads. Collaborate with a Network Analytics team on a project transitioning from legacy systems. This role stands out for its direct impact on reliable CI/CD pipelines and modern cloud-native architecture.
What You'll Do9
- 1Design and implement AWS infrastructure for a multi-petabyte data lake using Terraform and CloudFormation.
- 2Build and maintain CI/CD pipelines with GitHub Actions and Jenkins to automate deployments and testing.
- 3Manage Kubernetes clusters for agent runtime environments, ensuring high availability and auto-scaling.
- 4Monitor production systems using Prometheus and Grafana, and respond to incidents with root cause analysis.
- 5Collaborate with data engineering to optimize data storage and query performance on S3, Glue, and Athena.
- 6Implement security best practices including IAM policies, VPC design, and encryption at rest and in transit.
- 7Automate infrastructure provisioning and configuration management using Ansible and Python scripts.
- 8Drive the migration of legacy workloads to AWS EKS and serverless architectures.
- 9Provide on-call support for production issues and ensure SLAs are met.
Requirements10
- 15+ years of experience in platform or infrastructure engineering with a focus on AWS.
- 23+ years managing Kubernetes clusters in production, including networking and storage.
- 3Proficiency in Infrastructure as Code using Terraform or CloudFormation.
- 4Experience with CI/CD tooling such as Jenkins, GitHub Actions, or GitLab CI.
- 5Strong scripting skills in Python, Bash, or Go.
- 6Hands-on experience with monitoring and logging stacks: Prometheus, Grafana, ELK or CloudWatch.
- 7Knowledge of AWS core services: EC2, S3, Lambda, RDS, VPC.
- 8Experience with data pipelines and data lake architecture (e.g., Spark, Hive, Glue) is a plus.
- 9AWS Certified (e.g., Solutions Architect or DevOps Engineer) is preferred.
- 10Excellent problem-solving skills and ability to work in a fast-paced environment.
Salary Insight
$146 - $166k per year
Location
Required Skills
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