Data Infrastructure Engineer

Synstack Technologies; Los Angeles (CA); On-site; USD 96,000 - 179,000; Full time

Job summary

Synstack Technologies is seeking a hands-on contractor to own AWS infrastructure and production reliability for on-site work in Los Angeles. The role emphasizes owning infrastructure delivery, automation, troubleshooting, and production support for data platforms.

Required are 7+ years in infrastructure/SRE with Terraform, Linux networking, containers, and scripting. Strong focus on cost optimization, security, and recovery processes to maintain reliable operations.

Qualifications

• 7+ years in infrastructure, SRE, or platform engineering.
• AWS production ownership: networking, IAM, compute, storage, and databases.
• Terraform: modules, remote state, environment separation, drift management, safe changes.
• Production reliability: incident response, RCAs, monitoring, alerting, SLOs.
• Linux and networking: DNS, TLS, routing, load balancing, connectivity.
• Containers & deployment: Docker, Git, CI/CD, rollback procedures.
• Automation: Python and shell scripting for infra ops.
• Security & recovery: least-privilege, backups, DR testing.

Responsibilities

• Own infrastructure delivery end-to-end for assigned data platforms.
• Implement automation to reduce manual toil and improve resilience.
• Troubleshoot production issues and perform root cause analysis.
• Provide production support and operational visibility for services.
• Collaborate with data engineers to ensure reliable data workflows.

Skills

AWS infrastructure

SRE

Terraform

Linux

Networking

Containers

Automation

Security

Cost optimization

Tools

Terraform

Docker

Git

CI/CD

Job description

Client needs candidates to work on-site.

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.

Must-Have Experience

Candidates should demonstrate 7+ 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