Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives.
The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best.
Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.
Come make an impact on the communities we serve as you help us advance health optimization on a global scale.
Join us to start Caring.
Connecting.
Growing together.
Primary Responsibilities
Azure Cloud Experience: Design, deploy, and manage Azure infrastructure and services Optimize cloud resource utilization and cost management in Azure.
Design, deploy, and manage Azure infrastructure and services
Optimize cloud resource utilization and cost management in Azure.
Infrastructure as Code (IaC): Utilize IaC tools (such as Terraform, Ansible, or similar) to provision and manage infrastructure Ensure infrastructure is scalable, secure, and resilient
Utilize IaC tools (such as Terraform, Ansible, or similar) to provision and manage infrastructure
Ensure infrastructure is scalable, secure, and resilient
Kubernetes Expertise: Design, deploy, and manage Kubernetes clusters to support containerized applications Implement and manage Kubernetes-based solutions for orchestration, scaling, and security
Design, deploy, and manage Kubernetes clusters to support containerized applications
Implement and manage Kubernetes-based solutions for orchestration, scaling, and security
AI/DevOps/MLOps: Design, build, and maintain robust, automated CI/CD pipelines for the data engineering and data science teams Develop and manage tools that support these teams, ensuring a seamless and efficient experience for them Utilize and build AI solutions to drive efficiencies across the platform engineering and wider teams
Design, build, and maintain robust, automated CI/CD pipelines for the data engineering and data science teams
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Develop and manage tools that support these teams, ensuring a seamless and efficient experience for them
Utilize and build AI solutions to drive efficiencies across the platform engineering and wider teams
Automation & Self-Service: Implement automation for various operational processes, reducing manual intervention Create self-service capabilities that empower Data Scientists to deploy and manage their applications independently
Implement automation for various operational processes, reducing manual intervention
Create self-service capabilities that empower Data Scientists to deploy and manage their applications independently
Platform Security & Performance: Ensure the security of the platform by implementing best practices and monitoring for vulnerabilities Continuously monitor and optimize the performance of the platform to ensure high availability and reliability
Ensure the security of the platform by implementing best practices and monitoring for vulnerabilities
Continuously monitor and optimize the performance of the platform to ensure high availability and reliability
Collaboration & Mentorship: Collaborate with cross-functional teams to align on project requirements and deliverables Mentor junior team members, promoting best practices in DevOps and automation
Collaborate with cross-functional teams to align on project requirements and deliverables
Mentor junior team members, promoting best practices in DevOps and automation
Observability: Implement monitoring and logging solutions to ensure system health and performance Troubleshoot and resolve issues related to system performance, security, and reliability
Implement monitoring and logging solutions to ensure system health and performance
Troubleshoot and resolve issues related to system performance, security, and reliability
Continuous Improvement: Stay current with industry trends and advancements in DevOps practices and technologies Identify opportunities for process improvements and drive initiatives to implement them
Stay current with industry trends and advancements in DevOps practices and technologies
Identify opportunities for process improvements and drive initiatives to implement them
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
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 regards 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
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience)
5+ years of experience in DevOps, Site Reliability Engineering (SRE), or a similar role
Experience with CI/CD tools preferably GitHub Actions
Solid experience of Data and AI platforms, preferably Databricks and Snowflake
Experience using orchestrating tools (Airflow, Data Factory)
Experience with Infrastructure as Code (Terraform, CloudFormation)
Expert knowledge of cloud platforms, with a focus on Azure
Familiarity with core Azure services – Storage, Networking, security, App Services, AKS
Proficiency in scripting languages (e.g., Python, Bash, Ruby)
Proficiency in monitoring tools (Splunk, Grafana, Prometheus)
Proven expertise in Kubernetes and containerization technologies (Docker, Podman)
Proven excellent problem-solving and analytical skills
Proven solid communication and collaboration skills
Proven ability to work independently and in a team-oriented, collaborative environment
Proven ability to work with third party vendors and support teams in a large multi disciplined organization
Skills: Kubernetes, Docker and Containerization, CICD Azure Cloud Infrastructure as Code Grafana and Prometheus AKS
Kubernetes, Docker and Containerization, CICD
Azure Cloud
Infrastructure as Code
Grafana and Prometheus
AKS
Preferred Qualifications
Experience in Azure, AWS, GCP and private cloud technologies
Experience using Firewalls, Load Balancers and DDOS solutions
Experience in a leadership or mentorship role
Knowledge of security best practices in DevOps
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone.
We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life.
Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes.
We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission.
About Optum
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