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Senior Full Stack Net Developer Jobs in Sandy, UT

NTT DATA Services

Full Stack Java Developer

Salt Lake City, UT · On-site +1

$50.75 - $65.50/hr

On-site Full Stack Java Developer Day to Day job Duties: * Develop, maintain, and implement Java-based components, applications, and frameworks. * Lead the design and architecture of Java-based ...

NTT DATA Services

Full Stack Java Developer

Salt Lake City, UT · On-site +1

$50.75 - $65.50/hr

On-site Full Stack Java Developer Day to Day job Duties: * Develop, maintain, and implement Java-based components, applications, and frameworks. * Lead the design and architecture of Java-based ...

Podium

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We're looking for a Senior Full Stack Engineer who thinks like a product owner, someone who's scrappy, opinionated, and energized by taking something from zero to one. You care more about what ships ...

Podium

Senior Software Engineer

Lehi, UT

$115K - $151K/yr

We're looking for a Senior Full Stack Engineer who thinks like a product owner, someone who's scrappy, opinionated, and energized by taking something from zero to one. You care more about what ships ...

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All JobsSenior Full Stack Net Developer JobsSenior Full Stack Net Developer Jobs in Sandy, UT

Senior Full Stack Net Developer information

See Sandy, UT salary details

$10

$53

$72

How much do senior full stack net developer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for senior full stack net developer in Sandy, UT is $53.45, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $59.42 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Full Stack .NET Developer, and why are they important?

To thrive as a Senior Full Stack .NET Developer, you need deep expertise in C#, .NET frameworks, front-end technologies like JavaScript, HTML, and CSS, and a solid understanding of software architecture, backed by a relevant degree or equivalent experience. Familiarity with tools such as Visual Studio, SQL Server, Azure DevOps, and experience with REST APIs and version control systems like Git is typically required. Strong problem-solving, leadership, and communication skills help you collaborate effectively and mentor junior team members. These skills ensure you can deliver scalable, maintainable solutions and drive project success in dynamic development environments.

How does a Senior Full Stack .NET Developer typically collaborate with cross-functional teams in a project environment?

As a Senior Full Stack .NET Developer, you'll regularly work alongside product managers, UI/UX designers, QA engineers, and other developers to deliver end-to-end solutions. You’ll often be responsible for bridging the gap between backend and frontend teams, participating in sprint planning, code reviews, and architectural discussions. Effective communication and the ability to translate technical requirements into actionable tasks are essential, as you may also mentor junior developers and provide guidance on best practices. The role is highly collaborative, requiring both technical leadership and strong interpersonal skills to ensure smooth project delivery.

What are Senior Full Stack .NET Developers?

Senior Full Stack .NET Developers are experienced professionals who design, develop, and maintain applications using Microsoft's .NET framework across both front-end and back-end technologies. They are proficient in languages like C#, ASP.NET, JavaScript, and working with databases such as SQL Server. These developers oversee the full software development lifecycle, collaborate with teams, and often mentor junior developers. Their role requires strong problem-solving abilities, knowledge of best coding practices, and experience with cloud services like Azure. They contribute to creating scalable, efficient, and secure web applications.

What is the difference between Senior Full Stack Net Developer vs Software Engineer?

AspectSenior Full Stack Net DeveloperSoftware Engineer
Required CredentialsBachelor's in CS or related, .NET certificationsBachelor's in CS or related, general programming certifications
Work EnvironmentDeveloping web applications using .NET, working in Agile teamsDesigning and developing software solutions across various platforms
Employer & Industry UsageTech companies, finance, healthcare using Microsoft stackBroad industry use, including tech, finance, startups

Senior Full Stack Net Developers focus on building and maintaining web applications using the Microsoft .NET framework, often working in Agile teams. Software Engineers have a broader scope, designing and developing software across multiple platforms. While both roles require similar educational backgrounds, Senior Full Stack Net Developers specialize in the Microsoft stack, making them more suitable for roles centered around .NET technologies.

What are popular job titles related to Senior Full Stack Net Developer jobs in Sandy, UT? For Senior Full Stack Net Developer jobs in Sandy, UT, the most frequently searched job titles are:
What cities near Sandy, UT are hiring for Senior Full Stack Net Developer jobs? Cities near Sandy, UT with the most Senior Full Stack Net Developer job openings:
Senior Full Stack Net Developer jobs near you
Manager - GenAI Full Stack Developer

Manager - GenAI Full Stack Developer

Deloitte

Salt Lake City, UT • On-site

Other

Posted 18 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

55th of 139 rated financial services

Job description

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Deloitte professionals help organizations navigate business risks and opportunities across financial, operational, information technology (IT), and regulatory areas. In this Manager role, you will lead teams delivering end-to-end (full stack) Generative AI (GenAI) solutions-including Retrieval-Augmented Generation (RAG) and agentic AI-from strategy and architecture through build, deployment, and adoption.

Recruiting for this role ends on May 31st, 2026


Work you'll do

  • Lead client discovery, requirements, and solution shaping; translate needs into architecture, technical specifications, delivery plans, and acceptance criteria.
  • Design, build, and implement custom AI/GenAI solutions tailored to business workflows and risk considerations.
  • Architect and optimize agentic AI systems (e.g., tool-using agents, multi-step orchestration, multi-agent patterns) and integrate with enterprise platforms.
  • Lead end-to-end RAG implementations including ingestion, preprocessing, chunking, embeddings, indexing, retrieval, orchestration, and evaluation.
  • Drive GenAI model build activities (training, fine-tuning, validation), benchmarking, and continuous improvement of quality, safety, latency, and cost.
  • Oversee model deployment and production operations (monitoring, observability, incident response, iteration).
  • Lead development pods (planning, quality, delivery), including code/design reviews, mentoring, and engineering best practices.
  • Collaborate with cross-functional stakeholders (product, data, security, risk/compliance) to deliver scalable, maintainable solutions.
  • Evaluate emerging GenAI/agent frameworks and cloud services; prototype and recommend fit-for-purpose approaches.

The team
Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Audit & Assurance services are focused on engagements related to independent External Audit services, Accounting, Controls & Reporting Advisory, and Specialized Assurance & Sustainability. We bring together the diverse skills and industry experience of our people, leading-edge technology, and a global network to deliver high-quality audits of financial statements and internal controls over financial reporting, along with assurance reports and valuable advice and insights across the corporate reporting landscape. Learn more about Deloitte Audit & Assurance.

Qualifications
Required:

  • Bachelor's degree (or equivalent) in Computer Science, Engineering, Data Science, or a related field.
  • 6+ years of relevant experience in software engineering/full stack development and delivering AI/ML or GenAI-enabled solutions.
  • Experience leading teams and delivering client-facing solutions with clear ownership for quality and timelines.
  • Required technical skills (must have):
    • GenAI / NLP / Agentic AI
    • Python programming
    • Natural Language Processing (NLP)
    • Agentic AI, including LangChain, LangGraph, and LlamaIndex
    • RAG (Retrieval-Augmented Generation)
    • Prompt engineering
    • Vector databases (design/usage/integration)
    • Model build + deployment
    • GenAI model build: training, fine-tuning, validation
    • Model deployment (serving patterns, monitoring, iteration)
    • Containers (e.g., Docker)
    • Data engineering + APIs
    • ETL (extract, transform, load) and data engineering (pipelines, quality, preprocessing)
    • FastAPI (or equivalent) to build backend services
    • API development and integration (RESTful services)
    • Full stack engineering
    • JavaScript/TypeScript
    • HTML/CSS plus SASS/LESS
    • UI/UX design principles
    • Front-end frameworks: React, Angular, or Vue
    • Cloud AI/ML services across Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP)
    • Vertex AI experience
  • You should reside within a commutable distance of your assigned office with the ability to commute daily, if required
  • You can expect to co-locate on average 3 times a week with variations based on types of work/projects and client locations
  • Ability to travel up to 50%, on average, based on the work you do and the clients/sectors you serve
  • Limited immigration sponsorship may be available.

Preferred:

  • Cloud certification (AWS, Azure, or GCP) and/or AI/ML certification.
  • Experience with deep learning frameworks (e.g., PyTorch, TensorFlow, Keras).
  • Familiarity with AI/GenAI ethics and governance frameworks and implementing controls in production.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $151,470 to $218,025.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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