[Hiring] Associate Site Reliability Engineer @UnitedHealth Group

Role Description

As a member of our team, you will:

• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making.
• Design, deploy, and maintain Kubernetes-based infrastructure to ensure high availability and scalability of applications.
• Build and manage CI/CD pipelines using GitHub Actions to enable fast and reliable deployments.
• Use Terraform to provision and manage infrastructure in Google Cloud Platform (GCP).
• Manage and optimize Apache Kafka-based systems to ensure reliable message streaming and data processing.
• Monitor and improve system performance and reliability using Prometheus and Grafana.
• Collaborate with developers to automate workflows and implement best practices for infrastructure-as-code (IaC).
• Write Python scripts for automation and tooling to enhance operational efficiency.
• Troubleshoot and resolve system issues to minimize downtime and impact on users.
• Participate in on-call rotations and incident response to ensure high service reliability.

Qualifications

• 1+ years of experience with Google Cloud Platform (GCP) services such as Compute Engine, Kubernetes Engine, and Cloud Storage.
• 1+ years of hands-on experience with Kubernetes for deploying and managing containerized applications.
• 1+ years of experience in understanding GitHub Actions for creating and maintaining CI/CD pipelines.
• 1+ years of experience in proficiency in Python for scripting, automation, and tooling.
• 1+ years of experience with Apache Kafka for building, maintaining, and troubleshooting message-driven systems.
• 1+ years of experience using Prometheus and Grafana for monitoring and observability.
• Basic level of knowledge of Terraform for infrastructure provisioning and management.

Requirements

• Familiarity with other cloud providers (e.g., AWS or Azure).
• Knowledge of Helm for Kubernetes package management.
• Experience with debugging and optimizing distributed systems.
• Exposure to security best practices for cloud infrastructure.
• Knowledge of Java for developing and troubleshooting backend systems.
• Familiarity with DataHub or similar data cataloging and metadata management platforms.
• Understanding of Artificial Intelligence (AI) concepts and tools, such as building or managing machine learning pipelines, integrating AI models, or working with ML platforms like TensorFlow, PyTorch, or Vertex AI.
• Experience with Golang for developing infrastructure tools or cloud-native applications.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (subject to eligibility requirements).