Senior Software Engineer - 2378720

UnitedHealth Group•US, Minnesota, MN

1d•$131,186 - $204,468•Remote

About The Position

We are seeking a Senior Software Engineer to join our team. In this role, you will be responsible for designing and implementing infrastructure using Terraform and Azure ARM templates, automating the provisioning of Azure resources, and supporting the end-to-end deployment lifecycle of Azure Databricks notebooks, clusters, ML models, and ADF pipelines for production ML workflows and data engineering tasks. You will support the Value Connect product suite by managing infrastructure automation for data ingestion, transformation, and AI pipeline orchestration. You will also establish and maintain CI/CD pipelines using Azure DevOps and GitHub Actions, enforce DevSecOps best practices, and supervise and mentor junior engineers. Additionally, you will lead initiatives to improve system performance, observability, and resilience, coordinate with cross-functional teams, drive innovation in cloud product design, and ensure compliance and audit readiness for HIPAA and HITRUST standards.

Requirements

Master’s degree in Computer Science or related field and 3 years of experience in the job offered or in a Software Engineer-related occupation.
Manage cloud resources using Terraform, ARM Templates, Azure Bicep, or CloudFormation.
Program languages such as PowerShell, Python, Bash, or YAML.
Azure DevOps, GitHub Actions, Octopus Deploy, Jenkins, TFS, or MS Build.
Monitoring tools like Azure Monitor, Log Analytics, Splunk, CloudWatch, App Insights, Datadog or AWS CloudWatch.
Azure AD, MFA, RBAC, IAM (AWS), PIM, Key Vault, SSL Certs, ADFS, Tenable Vulnerability Management, or DAST scans.
NSG/ASG management in Azure, route tables, DNS, firewalls, Load Balancers (F5, Azure, AWS), Express Route/VPNs, traffic manager, and private endpoints.
Docker, Kubernetes (AKS, EKS), Help, OpenShift, AWS, or Azure.
Azure Databricks (MLFlow, Job APIs), Azure Machine Learning, ADF pipelines, or Feature Store integration.
Work with cloud platforms such as Azure SQL, Redshift, MongoDB, Oracle, MySQL, Cosmos DB, Azure Data Late, or S3.
Data integration and analytics with Azure Data Factory, Synapse, PySpark, Kafka, Snowflake, or Delta Lake.
Git, GitHub, TFS, or Perforce.
Operating systems like Windows Server, Ubuntu, Solaris, IIS, F5 Load Balancers, or SSL.

Responsibilities

Design and implement infrastructure using Terraform and Azure ARM templates.
Automate the provisioning of Azure resources such as VNETs, Subnets, NSGs, Data Lakes, Databricks workspaces, or ADF pipelines.
Automate the end-to-end deployment lifecycle of Azure Databricks notebooks, clusters, ML models, and ADF pipelines for production ML workflows and data engineering tasks.
Support the Value Connect product suite by managing infrastructure automation for data ingestion, transformation, and AI pipeline orchestration using Azure Data Factory, Databricks, and Azure Machine Learning Services.
Establish and maintain CI/CD pipelines using Azure DevOps and GitHub Actions to ensure continuous integration and deployment of cloud-based AI/ML solutions.
Enforce DevSecOps best practices, including RBAC configuration, Key Vault integration, logging with Azure Monitor, and secure networking through firewalls and private endpoints.
Supervise and mentor junior engineers and developers as a Senior SME providing architectural guidance on Azure product design, solution development, and automation strategies.
Lead initiatives to improve system performance, observability, and resilience through monitoring, alerting, and cost optimization.
Coordinate with cross-functional teams including product management, data science, and security to align infrastructure goals with business outcomes.
Drive innovation and consistency in cloud product design by establishing reusable modules and templates for repeatable deployments.
Improve operational efficiency and developer productivity by reducing manual tasks through automation and proactive monitoring.
Ensure compliance and audit readiness for HIPAA and HITRUST standards by embedding securing and access controls into infrastructure code.