Software Eng Lead (azure, Databricks,Terraform,Security, Monitoring)

Optum

Full Timemid

INPosted 2 days ago

Resume Keywords to Include

Make sure these keywords appear in your resume to improve ATS scoring

SQLAzureTerraformGitHub ActionsGitHubSparkAirflowAgileScrumCI/CDDevOps

Job Description

Overview

We are requesting a new senior-level position to support the expansion of the RCM Common Data Platform, with a strong focus on AIdriven agentic workflows. The role is vital to scaling platform capabilities, supporting new product/enhancement work, replatforming initiatives, and strengthening cloud infrastructure, DevOps automation, and AI-enabled data processes.

Business Risk if Not Filled

20% reduction in development capacity, significantly impacting timelines
Inability to meet business demand, affecting revenue growth and modernization plans
Reduced ability to support AI initiatives, platform migration efforts, and secure cloud operations

Software engineering is the application of engineering to the design, development, implementation, testing and maintenance of software in a systematic method. The roles in this function will cover all primary development activity across all technology functions that ensure we deliver code with high quality for our applications, products and services and to understand customer needs and to develop product roadmaps.

These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation, research and development, maintenance, new development, operations and delivery. With every role in the company, each position has a requirement for building quality into every output. This also includes evaluating new tools, new techniques, strategies; Automation of common tasks; build of common utilities to drive organizational efficiency with a passion around technology and solutions and influence of thought and leadership on future capabilities and opportunities to apply technology in new and innovative ways.

Primary Responsibilities

Serve as a Senior DevOps/ Platform/AI ML Engineer within a cross-functional engineering team
Support data ingestion, transformation, and automation within Azure Databricks
Build and maintain CI/CD pipelines using GitHub Actions for Terraform deployments, Azure resource provisioning, and application workflows
Develop, automate, and maintain cloud infrastructure using Terraform and GitHub Actions
Implement and monitor secure configurations, resolve vulnerabilities, and ensure compliance across cloud and onprem environments
Manage and enhance networking including VNet peering, DNS, Front Door, load balancers, and firewall configurations
Build and manage data pipelines using Azure Data Factory, Airflow, Terraform, and Spark
Implement Identity and Access Management, security controls, and cloud governance
Integrate AI/ML pipelines and enable AIdriven automation across the SDLC
Support platform modernization, replatforming, and enhancement initiatives
Analyzes and investigates
Provides explanations and interpretations within area of expertise
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