Senior Azure Cloud Engineer

LHC Group, Inc.
Eden Prairie, MN, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
1 year minimum
Compensation
$91,700.0 - $163,700.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Software Applications Microsoft Azure Big Data Cloud Storage Code Generation Software Quality Databases Continuous Integration Data Structures Relational Databases
+26 more
DevOps Distributed Data Store Python (Programming Language) PostgreSQL Machine Learning Microsoft SQL Server MySQL Query Optimization Software Engineering Data Streaming Enterprise Software Applications Azure Data Factory Spring Cloud Large Language Models Infrastructure as Code (IaC) Backend Event Driven Architecture Data Lakes Information Technology Apache Kafka Claude Azure AI OpenAI Codex Stream Processing Devsecops Databricks

Job description

As a Senior Software Engineer, you will join an innovative team building scalable cloud data solutions and AI-driven capabilities to improve health outcomes and drive digital transformation. In this role, you will design, develop, and deploy high-performance applications leveraging Azure cloud services, real-time data streaming with Kafka, large-scale data processing with Databricks and Delta Lake, and modern AI technologies including LLM embeddings, model fine-tuning, and developer assistance integrations (e.g., Codex, Claude). Primary Responsibilities

  • Design, develop, and deploy AI-powered solutions and enterprise-scale software to address complex business challenges with an emphasis on responsible AI use
  • Leverage enterprise-approved AI tools to streamline workflows, automate software engineering tasks, and drive continuous operational improvement
  • Evaluate emerging AI trends and modern cloud architectures to inform solution design, continuous optimization, and strategic innovation
  • Build and maintain scalable real-time data streaming and processing pipelines using Apache Kafka, Azure Databricks, and Delta Lake
  • Develop, optimize, and maintain resilient backend services and database architectures using Java, Python, and Azure PostgreSQL
  • Implement and fine-tune Large Language Models (LLMs), embeddings, and code generation/completion tools to solve business challenges
  • Implement robust cloud storage solutions and design scalable data structures for analytical capabilities
  • Collaborate with cross-functional technical teams, data engineers, and solution architects to deliver secure, reliable, and compliant enterprise software applications

You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in., Description Leidos is seeking a Lead DevSecOps Engineer to join the Air Traffic Business Area within the Homeland Sector, supporting the development of the Leidos Common Automati…

  • 10 days ago

Requirements

  • 5+ years of professional software engineering experience developing enterprise applications using Java or Python
  • 3+ years of experience building and deploying cloud-native applications on Microsoft Azure
  • 3+ years of experience with relational databases (PostgreSQL, MSSQL, MySQL or similar), including schema design and query optimization
  • 2+ years of hands-on experience with big data like Databricks or Delta Lake
  • 2+ years of hands-on experience with streaming platforms like Apache Kafka
  • 1+ years of experience working with Large Language Models (LLMs), including fine-tuning models and integrating AI models into software applications
  • Demonstrated experience using AI-assisted development tools to enhance workflow efficiency and code quality, * Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience)
  • Hands-on experience integrating AI LLM models (e.g., OpenAI Codex, Anthropic Claude) into software workflows or enterprise applications
  • Expertise in building real-time event-driven architectures and distributed data pipelines
  • Experience with CI/CD automation, Infrastructure as Code (IaC), and modern DevOps practices on Azure
  • Azure technical certifications (e.g., Azure Solutions Architect, Azure Data Engineer, or Azure AI Engineer)

Benefits & conditions

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records., + $87,100-157,450 per year, + $72,800-130,000 per year 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 o…

  • 12 days ago +

About the company

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, and data they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Location: Remote

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