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DevOps Engineer – API Platform​/GCP

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: CoSourcing Partners Inc.
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, IT Infrastructure, Systems Engineer
Salary/Wage Range or Industry Benchmark: 110000 - 160000 USD Yearly USD 110000.00 160000.00 YEAR
Job Description & How to Apply Below
Position:

Dev Ops Engineer – API Platform / GCP

Company:

Global Professional Services Organization

Client Industry:

Transportation

Location:

Dallas, TX or San Antonio, TX

Work Arrangement:

Hybrid – Onsite at Client HQ 2 Days per Week

Employment Type:

W2 Contract-to-Hire

Engagement Requirement:

W2 Candidates Only; C2C Is Not Permitted

Technical Focus:

CI/CD, Dev Ops, Google Cloud Platform (GCP), API Deployment, Jenkins, Git Hub/Git Lab, Terraform, Kubernetes, and Scripting

Overview

The Dev Ops Engineer – API Platform / GCP will design, develop, automate, and maintain the infrastructure and deployment processes supporting enterprise API applications for a transportation-industry client of a global professional services organization. This is a hands‑on engineering position focused on building reliable CI/CD pipelines, automating Google Cloud infrastructure, supporting Kubernetes‑based deployments, and improving the consistency and reliability of API releases.

The engineer will work with Jenkins, Git Hub or Git Lab, Terraform, Kubernetes, and scripting technologies to reduce manual intervention, improve deployment efficiency, and troubleshoot infrastructure and release‑related problems. The role requires an engineer who can take ownership of deployment automation from source‑code integration through infrastructure provisioning, application deployment, validation, and operational support. The individual will collaborate with application development, platform engineering, infrastructure, and client stakeholders in a hybrid delivery environment.

The ultimate performance standard is the ability to take an API application from a committed code change through an automated, validated, and operationally supportable deployment on Google Cloud Platform.

Purpose:

Help build and strengthen the cloud infrastructure and deployment automation supporting critical enterprise API applications for a transportation-industry client. Your work will directly contribute to reliable application delivery, operational stability, and the ability of engineering teams to deploy changes efficiently and consistently. This opportunity is well suited to a hands‑on Dev Ops engineer who enjoys building automation, troubleshooting difficult infrastructure problems, and improving the reliability of software delivery.

The role provides meaningful technical ownership and the opportunity to see measurable results through successful deployments, reduced manual effort, and improved operational processes.

Candidate Requirements
  • Hands‑On Dev Ops and CI/CD Engineering: Demonstrated experience designing, implementing, maintaining, and troubleshooting CI/CD pipelines supporting application deployments. Practical experience with Jenkins, Git Hub, or Git Lab is important, including the ability to automate build, validation, and deployment activities.
  • Google Cloud Platform: Hands‑on experience working with GCP infrastructure supporting cloud‑based application deployment and operations. Candidates should be comfortable troubleshooting infrastructure and environment‑related issues affecting application delivery.
  • Terraform and Infrastructure as Code: Demonstrated ability to create, modify, maintain, and troubleshoot Terraform configurations supporting repeatable cloud infrastructure provisioning and management.
  • Kubernetes: Practical experience deploying and troubleshooting containerized applications in Kubernetes environments. Candidates should understand the relationship between application configuration, container behavior, infrastructure resources, and successful deployment.
  • Scripting and Automation: Strong scripting capability to automate routine tasks, integrate engineering tools, troubleshoot workflows, and improve deployment efficiency. The source JD does…
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