Platform Engineer
Apex Systems Inc
Platform Engineer
Location: Greenwood Village, Colorado (Remote) Role Overview As a Platform Engineer, you will design, build, and maintain the AWS infrastructure that underpins a large-scale data lake, agent runtime environments, and CI/CD pipelines. This role ensures production environments are stable, scalable, and secure, enabling data science and agentic AI workloads to operate reliably. You will support a Network Analytics team project that is moving from proof-of-concept to production, with a focus on enhancing the security and operational efficiency of enterprise networks. Key Responsibilities- Design and manage AWS infrastructure for a data lake, including S3, Glue, Athena, and EMR clusters.
- Manage cross-account AWS architectures, VPC networking, security groups, and IAM roles to ensure secure data flow.
- Implement and manage infrastructure-as-code using Terraform or CloudFormation for repeatable environment provisioning.
- Build and maintain CI/CD pipelines for AI agent deployments using tools like GitLab CI/CD, Docker, and Artifactory.
- Develop and maintain application code, scripts, and automation utilities, primarily in Python, to support data ingestion, deployment, and operational workflows.
- Ensure production environment stability through monitoring, alerting, and incident response, maintaining SLAs for data pipeline availability.
- Support and maintain existing ETL pipelines written in Scala/Spark, including troubleshooting and onboarding new data sources.
- Coordinate with upstream data teams and other platform teams on connectivity, firewall requests, and integration requirements.
- Experience as a senior-level resource working in large-scale environments.
- Expert-level experience with AWS services, including EC2, S3, IAM, VPC, Glue, Athena, EMR, Secrets Manager, and CloudWatch.
- Strong experience with infrastructure-as-code, preferably Terraform.
- Experience managing cross-account AWS architectures, including VPC peering, PrivateLink, and transit gateway configurations.
- Proficiency with IAM policy design, least-privilege access patterns, and service account management.
- Experience with containerization (Docker) and container orchestration.
- Experience with CI/CD pipelines, preferably GitLab CI.
- Proficiency in Python or a comparable language for building automation and tooling.
- Solid software engineering fundamentals, including Git-based workflows and writing maintainable code.
- Bachelor's degree in Computer Science, Information Technology, Systems Engineering, or a related field, or equivalent experience. A Bachelor's degree should be accompanied by 5+ years of platform/infrastructure engineering experience, while a Master's degree requires 3+ years.
- Experience with graph databases such as AWS Neptune or Neo4j.
- Experience with Apache Kafka, Apache Spark (Scala preferred), and Airflow.
- Familiarity with AI/ML infrastructure requirements.
- Experience in the telecommunications industry or other large-scale network operations environments.
- AWS certifications, such as Solutions Architect or DevOps Engineer.
- Experience developing and operating small services or APIs using frameworks like FastAPI or Flask.
Vacancy posted 4 days ago
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