DevOps Engineer

unitedhealthgroup

Bengaluru, India 8 Years Exp Posted 36d ago

Job Description

  • Own and evolve cloud infrastructure for AI/ML agent workloads, with deep technical ownership of Infrastructure as Code modules, state management, environment promotion, and infrastructure lifecycle
  • Design, build, and maintain highly available cloud infrastructure for agent runtime, APIs, observability, logging, and secure service-to-service communication
  • Build and optimize CI/CD pipelines for containerized AI services (build, test, security scan, deploy, rollback) across development and staging environments
  • Partner with AI/ML engineers to operationalize large language model application deployments and support safe rollout patterns for new agent capabilities
  • Drive infrastructure standards for least-privilege access controls, secrets management, encryption, network segmentation, and audit readiness for sensitive healthcare workloads
  • Implement end-to-end monitoring, alerting, and distributed tracing across API services, serverless integrations, and downstream backend systems to reduce mean time to resolution
  • Improve cost, performance, and resiliency posture using autoscaling, capacity tuning, failure testing, and cloud architecture best practices
  • Contribute to release governance with runbooks, incident response playbooks, and production operational readiness reviews
    • Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

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