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Cloud Operations Engineer

Branch - Remote - Remote - posted 2026-08-19

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Salary: USD 135,000 - 150,000 / annual

Branch is a fintech company on a mission to empower workers with financial freedom by helping companies accelerate payments and providing working Americans with accessible financial services. We are seeking a Cloud Operations Engineer to join our Cloud Ops team. This is a hands-on infrastructure role focused on implementing, maintaining, and improving our cloud infrastructure on Google Cloud Platform (GCP). Key responsibilities include: - Implement and maintain cloud infrastructure in GCP under the direction of senior engineers - Contribute to keeping cloud infrastructure scalable, secure, and highly available - Build automation to reduce operational toil and support production incident recovery - Troubleshoot issues and provide support for cloud infrastructure and observability tools - Ensure cloud infrastructure compliance with security and regulatory standards - Participate in incident response processes, monitoring, and alerting across the application stack - Collaborate with the tech organization on infrastructure work, including workflow automation (crons, n8n, Airflow) that bridges infrastructure and business processes - Participate in Ops team processes including outages, compliance, sprint work, metrics, and documentation Required qualifications: - Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) - 3+ years of professional experience in cloud infrastructure engineering, preferably GCP - Familiarity with observability tools (monitoring, logging, tracing) - Working experience in at least one programming/scripting language (Python, Bash, Java, Go) - Experience with containerization technologies (Docker, Kubernetes) - Some exposure to network and application security practices - Comfortable leveraging AI tools (Claude, Copilot, Gemini) to accelerate work - Ability to work in a 24/7 on-call rotation Nice-to-have skills include CI/CD pipelines and Git, collaboration with Data Engineering teams, and experience with infrastructure automation tools (Terraform, Ansible, Chef).

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