Senior Engineer - Data Operations

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network.

Come join us to create what’s next. Let’s define tomorrow, together.

Description

United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions.

Job overview and responsibilities

This role exists to design, automate, and operate secure, scalable cloud and DevOps platforms that support United’s Data Engineering Operations capabilities. The position is responsible for enabling reliable application delivery through CI/CD, infrastructure as code, cloud platform management, observability, and operational automation. It also advances AI-enabled DevOps practices by applying AIOps, generative AI, intelligent automation, and responsible guardrails to improve engineering productivity, system reliability, incident response, and operational efficiency.

- Design, deploy, and maintain secure, scalable AWS cloud infrastructure, Kubernetes platforms, Terraform modules, and core networking/services to support reliable data engineering operations.

• Implement, manage, and optimize CI/CD pipelines, Infrastructure as Code, deployment automation, security validation, automated testing, and release reliability practices.

• Operate Databricks, AI/ML, and generative AI workloads through platform administration, environment provisioning, deployment automation, monitoring, rollback, MLOps, and LLMOps practices.

- Implement monitoring, observability, AIOps, anomaly detection, event correlation, alerting, incident triage, log analysis, root-cause analysis, and remediation recommendations.

• Build automation using Python, Bash, APIs, and event-driven services to reduce manual effort, improve operational efficiency, and strengthen platform reliability.