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Azure Software Engineer Jobs in Austin, TX (NOW HIRING)

Emerson

Senior AI Software Engineer

Austin, TX

$121K - $160K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent ... Experience with Azure or other cloud platforms, including containerization (Docker), orchestration ...

Career Opportunities

Software Engineer

Austin, TX · On-site

Design, code, test, and deploy clean, well-structured, and maintainable software features utilizing ... NET applications on cloud platforms (Azure preferred, AWS, or GCP) and modern DevOps practices ...

Hirekeyz Inc

Software Engineer

Austin, TX · On-site

Software Engineer Location : Austin ( only Local to TX) Hybrid Duration: Long Term Contract ... AWS, Azure. 4 Required Experience working in an Agile development environment. 4 Required ...

Emerson

Senior AI Software Engineer

Austin, TX

$121K - $160K/yr

Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent ... Experience with Azure or other cloud platforms, including containerization (Docker), orchestration ...

JConnect Infotech

Software Engineer 3

Austin, TX

$57 - $76.50/hr

Software Engineer 3 Location: Austin, Texas Duration: Long Term Bachelor's degree, or higher. 8+ ... Azure Dev Ops, Jira, or similar 2+ years of experience programming in C#.Net Blazor

Crowe LLP

Senior Software Engineer

Austin, TX · Hybrid

$163K - $204K/yr

Works within agile/scrum Product Engineering team to develop software projects. Responsible ... Develop Azure Logic Apps, Azure Functions and Azure deployments; Front End programming languages:

Silencer Shop

Senior Software Engineer

Leander, TX

$117K - $154K/yr

The Role We're looking for seasoned, product-minded Senior Software Engineers to help us continue ... Azure cloud services (App Services, Functions, Blob Storage) Tech Stack * .NET 8, EF Core, Dapper ...

Atom Computing

Senior Software Engineer

Austin, TX · On-site +1

$140K - $185K/yr

Atom Computing is looking for a Senior Software Engineer to implement the quantum computing ... Experience with Azure, AWS and Terraform, Javascript, UI/UX design for webapps, and a background in ...

Atom Computing

Senior Software Engineer

Austin, TX · On-site +1

$140K - $185K/yr

Atom Computing is looking for a Senior Software Engineer to implement the quantum computing ... Experience with Azure, AWS and Terraform, Javascript, UI/UX design for webapps, and a background in ...

Atom Computing

Senior Software Engineer

Austin, TX · On-site

$140K - $185K/yr

Atom Computing is looking for a Senior Software Engineer to implement the quantum computing ... Experience with Azure, AWS and Terraform, Javascript, UI/UX design for webapps, and a background in ...

Crowe LLP

Senior Software Engineer

Austin, TX · On-site

$163K - $204K/yr

Works within agile/scrum Product Engineering team to develop software projects. Responsible ... Develop Azure Logic Apps, Azure Functions and Azure deployments; Front End programming languages:

General Motors

Senior Software Engineer (.NET )

Austin, TX · On-site +1

$121K - $160K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience with Azure Infrastructure to deploy, configure and troubleshooting ( IaC pipelines, Site ...

Beacon Systems, Inc

AI/ML Software Engineer

Austin, TX · On-site

Software Developer Specialist Location: Austin, TX (Hybrid) Duration: 12 Months Contract (Extension ... CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions) * Databases (SQL + NoSQL / Vector DB)

General Motors

Senior Software Engineer (.NET )

Austin, TX · On-site +1

$121K - $160K/yr

We are seeking an experienced Senior Software Engineer ( .NET ) to join our team. In this role, you ... Experience with Azure Infrastructure to deploy, configure and troubleshooting ( IaC pipelines, Site ...

Swbc

Software Engineer

Austin, TX · On-site

As a software engineer for SWIVEL, you will take on a prominent role within our Agile delivery ... Visual Studio, Azure Devops, JIRA, GIT, etc. * Knowledge of one or more JavaScript frameworks ...

SWIVEL

Software Engineer

Austin, TX · On-site

As a software engineer for SWIVEL, you will take on a prominent role within our Agile delivery ... Visual Studio, Azure Devops, JIRA, GIT, etc. * Knowledge of one or more JavaScript frameworks ...

Satsuma

Senior Software Engineer

Austin, TX · On-site

$115K - $152K/yr

We are seeking a Senior Software Engineer to join our dynamic team. In this pivotal role, you will ... Familiarity with cloud services (AWS, Azure, or Google Cloud) for scalable application deployment.

Acrisure Innovation

Software Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Our data storage layer includes BigQuery, Databricks, Azure, and Postgres. Across our broader tech ... software engineering with a data focus. * Strong data modeling skills and the ability to work ...

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All JobsAzure Software Engineer JobsAzure Software Engineer Jobs in Austin, TX

Azure Software Engineer information

See Austin, TX salary details

$62.9K

$146.2K

$203.6K

How much do azure software engineer jobs pay per year?

As of Jun 17, 2026, the average yearly pay for azure software engineer in Austin, TX is $146,192.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $171,400.00 per year, depending on experience, location, and employer.

What is an Azure Software Engineer job?

An Azure Software Engineer is responsible for designing, developing, deploying, and maintaining applications and services on Microsoft Azure. They work with cloud-based solutions, infrastructure, and DevOps practices to ensure scalable, secure, and efficient software development. Their role often involves using Azure services like Virtual Machines, App Services, Azure DevOps, and databases to build cloud-native applications. They collaborate with development teams, architects, and IT operations to implement best practices and optimize performance.

What types of projects and team structures do Azure Software Engineers typically work with?

Azure Software Engineers often collaborate on diverse cloud-based projects ranging from building scalable applications to migrating existing systems to Microsoft Azure. Teams are usually cross-functional, comprising roles like project managers, UX/UI designers, quality assurance specialists, and DevOps engineers, which fosters a collaborative and agile environment. Daily responsibilities may include designing cloud architectures, implementing APIs, automating deployments, and troubleshooting production issues. This role offers exposure to the latest cloud technologies and provides ample opportunities for professional growth as organizations increasingly adopt Azure for their infrastructure needs.

What are the key skills and qualifications needed to thrive in the Azure Software Engineer position, and why are they important?

To thrive as an Azure Software Engineer, you need strong software development skills in languages like C#, .NET, or Python, combined with a deep understanding of Microsoft Azure cloud services and solutions. Familiarity with tools such as Azure DevOps, ARM templates, and relevant certifications like Microsoft Certified: Azure Developer Associate are highly valued. Excellent problem-solving, collaboration, and communication skills set candidates apart when working within cross-functional teams and adapting to rapidly changing requirements. These competencies are critical for efficiently designing, building, and maintaining scalable, secure, and reliable cloud-based applications on Azure.

What are the most commonly searched types of Azure Software Engineer jobs in Austin, TX? The most popular types of Azure Software Engineer jobs in Austin, TX are:
What are popular job titles related to Azure Software Engineer jobs in Austin, TX? For Azure Software Engineer jobs in Austin, TX, the most frequently searched job titles are:
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What cities near Austin, TX are hiring for Azure Software Engineer jobs? Cities near Austin, TX with the most Azure Software Engineer job openings:
Azure Software Engineer jobs near you
Infographic showing various Azure Software Engineer job openings in Austin, TX as of June 2026, with employment types broken down into 95% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $146,192 per year, or $70.3 per hour.

AI Software Engineer, Senior

Cayuse Holdings

Cedar Park, TX • On-site, Remote

$116K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description

Overview
JOB TITLE:
AI Software Developer, Senior
CAYUSE COMPANY:
Cayuse Civil Services, LLC
LOCATION
Austin, TX
SALARY:
$116,480.00-$166,400.00
EMPLOYEE TYPE:
Full-Time Salary Exempt
TRAVEL
No
RELOCATION
No
Employment in this role is conditional upon successful execution of the contract by the client.
The Work
The Senior AI Software Engineer will be responsible for advancing enterprise AI initiatives by extending existing proof-of-concept (POC) solutions into scalable, production-ready web applications that directly support complex engineering workflows. This role focuses on transforming early-stage AI models and prototypes-such as those supporting plan review automation, asset detection, digital delivery, and other domain-specific use cases-into fully integrated applications accessible through secure, user-friendly web interfaces across the organization.
The Senior AI Software Engineer will concentrate on engineering-related software services, including model ingestion, automated quantity extraction, plan conformance checks, and CI/CD automation. The position requires close collaboration with cross-functional teams (engineering, product, infrastructure, and security) to ensure solutions are robust, compliant, and aligned with enterprise standards and regulatory requirements.
This position aligns with Cayuse's core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.
Responsibilities
  • Design, develop, and maintain production-grade AI/ML services and web applications that extend existing POC solutions into scalable, secure, and reliable enterprise platforms.
  • Implement and optimize AI/ML workflows for:
    • Model ingestion and lifecycle management
    • Automated quantity extraction from plans and documents
    • Plan conformance and rules-based checks
    • Computer vision-based asset detection and inspection
    • NLP/LLM-based plan review automation and document analysis
  • Build secure, user-friendly web interfaces and APIs that enable engineering and business users to leverage AI capabilities within their day-to-day workflows.
  • Architect, implement, and manage CI/CD pipelines to support rapid, reliable deployment of AI/ML models and related services.
  • Deploy and manage AI/ML workloads across one or more major cloud platforms (AWS, Azure, GCP, OCI), leveraging native AI/ML services as appropriate.
  • Implement MLOps best practices, including experiment tracking, model registry, feature stores, monitoring, and automated retraining where appropriate.
  • Optimize model performance and cost through techniques such as quantization, pruning, distillation, and efficient distributed training.
  • Integrate and operationalize LLM and NLP solutions (e.g., transformers, RAG systems) to support text understanding, summarization, Q&A, and other intelligent automation use cases.
  • Collaborate with data engineers, cloud engineers, and domain experts to design robust data pipelines and architectures for AI/ML workloads, including time-series, image/video, and text data.
  • Ensure that all solutions adhere to security, compliance, and governance standards, especially when working with sensitive or regulated data.
  • Provide technical leadership, mentorship, and guidance to junior engineers and peers, promoting best practices in AI/ML engineering, DevOps, and software craftsmanship.
  • Produce high-quality technical documentation, including architecture diagrams, API specifications, deployment runbooks, and user guides.
  • Participate in technical planning, backlog grooming, and estimation; contribute to roadmap development for AI/ML capabilities.

Other duties as assigned
Qualifications
Here's What You Need
The qualifications and skills listed below are intended to provide a general overview of the requirements for this position. However, due to the anticipated nature of the contract and the absence of a finalized task order from the client, this list should not be considered all-encompassing. Additional qualifications, certifications, skills, or experience specific to the client's requirements may be identified and requested upon award of the task order. Candidates should demonstrate flexibility and a willingness to adapt to evolving responsibilities as outlined by the client.
  • 8+ years of professional software engineering experience, with substantial work in AI/ML and cloud-native development
  • Experience with at least one major cloud platform (AWS, Azure, GCP, or OCI) for deploying and managing ML workloads
  • Hands-on experience with cloud AI/ML services such as Azure AI, AWS SageMaker/Bedrock, GCP Vertex AI, or OCI AI Services
  • Strong DevOps background, including:
    • Ansible for configuration management and automation
    • Docker for containerization
    • Kubernetes for container orchestration
    • CI/CD best practices for automated build, test, and deployment
  • Proficiency with relational and non-relational databases, including:
    • SQL (PostgreSQL, MySQL)
    • NoSQL and vector databases for similarity search and embedding-based retrieval
  • Strong scripting skills in both:
    • Bash
    • PowerShell
  • Proven experience designing and maintaining CI/CD pipelines using:
    • Azure DevOps
    • GitHub Actions
    • Jenkins
    • Or similar automation tools
  • 3-5+ years of production-level Python development (primary implementation language)
  • 3+ years of experience with NLP and LLMs, including:
    • Transformer models (BERT, GPT, T5, etc.)
    • RAG (Retrieval-Augmented Generation) systems
    • Fine-tuning and prompt engineering
    • Building LLM-based applications
  • 3+ years of experience with time-series data, including:
    • Forecasting models
    • Anomaly detection
    • Sequential data modeling
    • Real-time monitoring systems
  • 3+ years of experience building recommender systems, such as:
    • Collaborative filtering
    • Ranking models
    • Personalization engines
    • Content recommendation pipelines
  • Production experience with MLOps tools and platforms, such as:
    • MLflow
    • Weights & Biases
    • Kubeflow
    • Airflow
    • Or similar systems for orchestration, tracking, and model lifecycle management
  • Experience with distributed training, including:
    • Large-scale model training
    • Multi-GPU and/or multi-node setups
    • Data/model parallelism and performance optimization
  • Production computer vision experience using:
    • PyTorch and/or TensorFlow
    • OpenCV
    • YOLO or similar frameworks for object detection and segmentation
    • Real-time inference and deployment workflows
  • Experience with feature stores (e.g., Feast, Tecton) and/or advanced feature engineering techniques
  • Hands-on experience with model optimization techniques:
    • Quantization
    • Pruning
    • Knowledge distillation
  • Experience working with LLM ecosystems such as:
    • Ollama
    • Hugging Face
    • Other non-frontier / open-weight models
  • Demonstrated AI/ML production track record:
    • Built and deployed at least 2-3+ ML models serving real users (beyond experimental or research-only projects)
  • Must be able to pass a background check. May require additional background checks as required by projects and/or clients at any time during employment.

Minimum Skills:
  • Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
  • Exceptional verbal and written communication skills.
  • Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
  • Proven ability to multitask and prioritize in a fast past environment with changing priorities; adaptable to change and a quick learner.
  • Must be self-motivated and able to work well independently as well as on a multi-functional team.
  • Ability to handle sensitive and confidential information appropriately
  • Proficient in MS Office, Word, Outlook, PowerPoint, and Excel.

Desired Qualifications:
  • 1+ year of experience with Geospatial Information Systems (GIS) and analyzing or modeling spatial data
  • Prior experience in one or more of the following domains:
    • Transportation
    • Logistics
    • Smart city or urban infrastructure
  • Background applying computer vision to infrastructure or vehicular data, including:
    • Object detection
    • Image segmentation
    • Video or sensor data analysis
  • Familiarity with public sector data compliance, security, and governance, such as:
    • Data classification and handling
    • Access control and audit requirements
    • Regulatory and policy constraints for government data
  • Experience with Unreal Engine in the context of:
    • Real-world digital twinning
    • Simulation or immersive visualization of physical environments
  • Experience integrating or building solutions with:
    • Google Maps APIs
    • Cesium or similar 3D mapping/geospatial visualization platforms
  • Experience with Polygonflow Dash and its capabilities for:
    • 3D workflows
    • Visualization pipelines
    • Automation of complex modeling or simulation tasks

Our Commitment to you / overview of benefits
  • Medical, Dental and Vision Insurance; Wellness Program
  • Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
  • Short-Term and Long-Term Disability options
  • Basic Life and AD&D Insurance (Company Provided)
  • Voluntary Life and AD&D options
  • 401(k) Retirement Savings Plan with matching after one year
  • Paid Time Off

Reports to: Program Manager
Working Conditions
  • Professional office environment with the ability to work on-site at client facility.
  • Must be physically and mentally able to perform duties extended periods of time.
  • Ability to use a computer and other office productivity tools with sufficient speed to meet the demands of this position.
  • Must be able to establish a productive and professional workspace.
  • Must be able to sit for long periods of time looking at computer screen.
  • May be asked to work a flexible schedule which may include holidays.
  • May be asked to travel for business or professional development purposes.
  • May be asked to work hours outside of normal business hours.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local law.
Pay Range
USD $116,480.00 - USD $166,400.00 /Yr.

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