Senior Platform Engineering Consultant

Optum; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Optum is seeking an experienced DevOps/SRE professional to design, deploy, and optimize scalable Kubernetes clusters and Azure infrastructure. You will build automated CI/CD pipelines for data teams, maintain Python-based services, and empower data scientists with self-service tooling.

The role emphasizes security, observability, and collaboration across functions, mentoring juniors while delivering reliable, high-performing platform solutions.

Qualifications

• Bachelor's degree in CS, Eng, or related field.
• 5+ years in DevOps, SRE, or a similar role.
• Strong experience with CI/CD tools, preferably GitHub Actions.
• Solid experience with Data/AI platforms, Databricks and Snowflake.
• Experience with Infrastructure as Code: Terraform, CloudFormation.
• Experience with orchestration tools: Airflow, Data Factory.
• Expert knowledge of Azure cloud platform and services.
• Scripting proficiency in Python, Bash, or Ruby.
• Proficiency in monitoring tools: Splunk, Grafana, Prometheus.
• Proven Kubernetes and containerization skills (Docker, Podman).
• Strong problem-solving, analytical thinking, and collaboration abilities.

Responsibilities

• Design, deploy, and manage Kubernetes clusters for containerized apps.
• Build automated CI/CD pipelines for data teams and maintain tooling.
• Support and optimize Python-based services across the platform.
• Design, deploy, and optimize Azure infrastructure and AKS usage.
• Create automation and self-service capabilities for data scientists.
• Ensure platform security and high availability through best practices.
• Use IaC to provision scalable, secure infrastructure.
• Mentor teammates and collaborate across functions on projects.
• Implement observability via monitoring and logging; troubleshoot performance issues.
• Drive continuous improvement and stay current with DevOps trends.

Skills

Problem solving

Analytical skills

Communication

Independent & team oriented

Education

Bachelor's degree in CS/Eng

Tools

GitHub Actions

Databricks

Snowflake

Terraform

CloudFormation

Airflow

Data Factory

Azure

Python

Bash

Ruby

Docker

Podman

Splunk

Grafana

Prometheus

Job description

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:

• Kubernetes Expertise:
  • 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
• Python Expertise:
  • Support and maintain Python-based applications and services across the platform, including frameworks such as Streamlit Flask
  • Troubleshoot, optimize, and enable the deployment of Python applications by improving reliability, runtime environments, and operational support processes
• Azure Cloud Experience:
  • Design, deploy, and manage Azure infrastructure and services
  • Familiarity with core Azure services - Storage, Networking, security, App Services, AKS
  • Optimize cloud resource utilization and cost management in Azure
• 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
• 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
• 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
• 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
• Observability:
  • 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
• 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
• Technical Skills:
  • Experience with CI/CD tools preferably GitHub Actions
  • Solid experience of Data and AI platforms, preferably Databricks and Snowflake
  • Experience with Infrastructure as Code (Terraform, CloudFormation)
  • Experience using orchestrating tools (Airflow, Data Factory)
  • Expert knowledge of cloud platforms, with a focus on Azure
  • 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

Preferred Qualifications:

• Experience in Fabric, 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.