Platform Engineer

• 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.

Preferred Qualifications

• 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.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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