Sr GCP Cloud Platform Engineer

OnTrac is hiring a Senior GCP Cloud Platform Engineer!

Are you eager to join a dynamic and expanding company where you can both learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy assisting others, thrive in a fast-paced environment, and excel at problem-solving, we encourage you to apply today to connect with a recruiter!

Founded in 1986, OnTrac has evolved into the leading provider of same-day and next-day delivery services in the U.S. for premier e-commerce and product-supply businesses, including five of the largest retailers in the U.S.

Location: This position may be performed remotely in states where the company is authorized to employ individuals.
Compensation: The expected starting base pay range for this position is $104,800. – $131,000. with full potential base salary range over a successful candidate’s tenure in the position of $104,800. – $157,200. Actual compensation will be determined based on experience, skills, internal equity, and other job-related factors.

Employment Logistics:
The Senior GCP Cloud Platform Engineer joins the IT Engineering team during a pivotal phase of the GCP journey. This role will partner closely with the development teams to support the cloud environment shift from manual-heavy operations to a fully automated infrastructure. This individual will help mature the CI/CD environment into a predictable, standardized ecosystem, and lead the effort to standardize Terraform and Ansible playbooks/modules and ensure infrastructure is resilient, scalable, and built on secure guardrails.

Unpacking the Benefits:

Employees are eligible for a comprehensive benefits package which may include:

• Medical, dental, and vision insurance
• Life and short- and long-term disability coverage
• 401(k) retirement savings plan with company match
• Flex vacation in states other than CA, CO, IL, MA, MT, and NE, with accruals up to 96 hours for first year of employment with tenure-based increases up to 160 hours
• Two (2) floating holidays per year
• Paid sick leave*
• Six (6) paid company holidays
• Two (2) weeks paid pregnancy disability leave, four (4) weeks paid parental bonding leave
• Additional wellness and employee assistance programs

Benefits eligibility and offerings are subject to the terms and conditions of the applicable plans and company policies.

The Must-Haves:

• 5+ years in Cloud Infrastructure, Systems Engineering, or Platform Operations
• Hands-on experience managing Google Cloud (GCP) environments, specifically Shared VPCs, IAM hierarchies, and Cloud SQL
• Strong Linux administration skills; a “Linux-first” troubleshooter comfortable at the command line when deployments fail
• Proven experience building and managing automated release flows in Azure DevOps (e.g., Pipelines/Releases/Boards)
• High proficiency with Terraform and Ansible, including organizing existing code into a professional, modular library
• Strong understanding of the “why” and “how” behind containerization, including evaluating when workloads should move to a managed container platform vs. staying on VMs
• Experience designing and managing auto-scaling compute environments and container orchestration to handle variable traffic without manual intervention
• Ability to understand application dependencies and troubleshoot build/deployment errors to unblock developers in mixed environments

Your Mission in Motion:
A summary of key responsibilities for the role is outlined below. Additional duties may be assigned as needed to support business objectives.
• CI/CD maturity (Azure DevOps): Lead the transition from manual infrastructure management to a fully automated CI/CD lifecycle in Azure DevOps, bridging the current state to push-button deployments.
• Standardizing IaC (Terraform/Ansible): Own the Terraform and Ansible ecosystem to ensure changes are made through code, reducing manual tweaks and eliminating configuration drift.
• Technical mentorship & standards: Act as the senior voice with the engineering team to establish standards, share best practices, and guide decisions on adopting new tools.
• Compute & elasticity strategy: Help architect the next phase of infrastructure by moving services into modern, elastic environments that support high availability and self-healing.
• Containerization roadmap: Lead container strategy by selecting workloads ready for orchestration, setting image standards, and ensuring consistent deployment patterns.
• Reliability & monitoring + on-call: Define critical system health metrics with the team and participate in the on-call rotation to keep 24/7 delivery services operational and resilient.

Paving your way to your success:

• You lead the shift from manu