Data Infrastructure Engineer

Yeshnex IT Solutions; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Yeshnex IT Solutions in Los Angeles invites an experienced hands-on contractor to own AWS infrastructure delivery and production reliability for data platforms. You will manage VPCs, ECS/Fargate, Lambda, S3, and RDS, plus Terraform modules, IaC pipelines, and CI/CD while optimizing costs and security.

The role emphasizes independent ownership, incident response, monitoring, troubleshooting, and collaborating with data engineers to support production workloads.

Qualifications

• 8+ years of infrastructure, SRE, or platform engineering experience with depth.
• Hands-on AWS experience including networking, compute, storage, and databases.
• Practical knowledge of IaC, CI/CD, and production reliability practices.
• Experience with Linux networking, DNS, TLS, load balancing, and monitoring.

Responsibilities

• Own AWS infrastructure delivery and production reliability for data platforms.
• Manage VPCs, ECS/Fargate, Lambda, S3, and RDS with secure, scalable patterns.
• Develop reusable Terraform modules and manage remote state and drift.
• Implement incident response, RCA, monitoring, and alerting to reduce issues.
• Handle Linux networking, DNS, TLS, routing, and load balancing troubleshooting.
• Oversee Docker containers, Git workflows, CI/CD pipelines, and rollback plans.
• Automate infrastructure operations with Python and shell scripts.
• Enforce least privilege, secrets management, backups, and DR testing.
• Optimize capacity and AWS costs while maintaining performance.

Skills

AWS infrastructure

Terraform

Production reliability

Linux networking

Containers and deployment

Automation

Security and recovery

Cost optimization

Tools

Docker

Git

CI/CD

Kubernetes

GitHub Actions

Job description

Please note that Retail domain experience is mandatory for this position.

Key Responsibilities

Please source a hands‑on contractor whose primary strength is AWS infrastructure and production reliability, with supporting data engineering experience. The role will independently own infrastructure delivery, automation, troubleshooting, and production support, including the infrastructure behind our data platforms.

• AWS infrastructure — production ownership of networking, IAM, compute, storage and databases; practical experience with VPCs, ECS/Fargate, Lambda, S3 and RDS.
• Terraform — reusable modules, remote state, environment separation, drift management, and safe changes through reviewed plans and CI/CD.
• Production reliability — incident response, root cause analysis, actionable monitoring, alerting, service objectives, and reducing recurring operational issues.
• Linux and networking — troubleshooting processes, resource utilization, DNS, TLS, routing, load balancing, and connectivity.
• Containers and deployment — Docker, container operations, Git, CI/CD, deployment troubleshooting, and rollback procedures.
• Automation — Python and shell scripting for infrastructure operations, diagnostics, and eliminating manual work.
• Security and recovery — least-privilege access, secrets management, backups, restoration testing, and disaster recovery.
• Performance and cost management — capacity planning, resource tuning, and AWS cost optimization.

Must‑Have Experience

Candidates should demonstrate 8+ years of relevant infrastructure, SRE, or platform engineering experience, with depth—not just exposure—in:

• AWS infrastructure — production ownership of networking, IAM, compute, storage, and databases; practical experience with VPCs, ECS/Fargate, Lambda, S3, and RDS.
• Terraform — reusable modules, remote state, environment separation, drift management, and safe changes through reviewed plans and CI/CD.
• Production reliability — incident response, root cause analysis, actionable monitoring, alerting, service objectives, and reducing recurring operational issues.
• Linux and networking — troubleshooting processes, resource utilization, DNS, TLS, routing, load balancing, and connectivity.
• Containers and deployment — Docker, container operations, Git, CI/CD, deployment troubleshooting, and rollback procedures.
• Automation — Python and shell scripting for infrastructure operations, diagnostics, and eliminating manual work.
• Security and recovery — least-privilege access, secrets management, backups, restoration testing, and disaster recovery.
• Performance and cost management — capacity planning, resource tuning, and AWS cost optimization.

Supporting Data Skills

Candidates should have practical experience supporting production data workloads; specialist depth in every data tool is not required.

• Redshift and/or Databricks — platform access, connectivity, workload monitoring, and operational troubleshooting.
• Airflow and dbt — familiarity with orchestration and transformation workflows; diagnosing failed runs, dependencies, and configuration issues.
• SQL and data operations — investigating pipeline failures, checking data freshness, and supporting retries, backfills, and recovery.

Nice‑to‑Have

• Kubernetes/EKS, GitHub Actions, Atlantis, and observability platforms.
• Deeper data engineering experience with ingestion, Spark, Iceberg, or Delta Lake.
• Retail, ecommerce, ERP, or supply chain systems.