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Mid Level Full Stack Engineer Jobs in Nevada (NOW HIRING)

Job Responsibilities * Full Stack Development: Design, develop, and maintain dynamic web ... The noise level in the work environment is low. Physical Demands The physical demands here are ...

This role is ideal for engineers who demonstrate strong foundational programming skills, a desire to learn full-stack development, and the ability to work within a collaborative, agile team ...

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Mid Level Full Stack Engineer information

What is the difference between Mid Level Full Stack Engineer vs Front End Developer?

AspectMid Level Full Stack EngineerFront End Developer
Required SkillsProficiency in both front-end and back-end technologies, such as JavaScript, HTML, CSS, Node.js, and databasesSpecialized in front-end technologies like HTML, CSS, JavaScript, and frameworks like React or Angular
Work EnvironmentCollaborates across full project stack, often in agile teams, handling both client and server-side tasksFocuses primarily on user interface, user experience, and front-end development tasks
Common UsageUsed in roles requiring full project development, integration, and deploymentUsed in roles focused on designing and implementing user-facing features

The Mid Level Full Stack Engineer has a broader scope, working on both front-end and back-end development, while a Front End Developer specializes in creating and optimizing user interfaces. Both roles require strong JavaScript skills, but the full stack engineer's expertise spans multiple technologies and layers of the application.

What are the key skills and qualifications needed to thrive as a Mid Level Full Stack Engineer, and why are they important?

To thrive as a Mid Level Full Stack Engineer, you need solid proficiency in front-end and back-end programming languages (such as JavaScript, Python, or Java), experience with frameworks (like React and Node.js), and a relevant degree or equivalent experience. Familiarity with version control systems (e.g., Git), cloud platforms (AWS, Azure), and databases (SQL/NoSQL) is typically required, and certifications in these areas can be advantageous. Problem-solving ability, effective communication, and strong collaboration skills are crucial soft skills for this role. These competencies ensure you can build scalable, reliable applications while working efficiently within cross-functional development teams.

What are Mid Level Full Stack Engineers?

Mid Level Full Stack Engineers are software developers with several years of experience who work on both the front-end and back-end of web applications. They are proficient in multiple programming languages and frameworks, and are capable of taking on tasks across the entire technology stack, from designing user interfaces to managing databases and server infrastructure. Mid level indicates they have moved beyond junior responsibilities, can work independently, and often mentor less-experienced team members. Their well-rounded skill set allows them to contribute to all phases of development and solve complex technical challenges.

What are some common challenges faced by mid-level full stack engineers when balancing front-end and back-end responsibilities?

Mid-level full stack engineers often encounter the challenge of context-switching between front-end and back-end tasks, which can require different mindsets and technical skills. Managing project priorities and ensuring seamless integration between both layers is key, especially when collaborating with specialized team members. Additionally, staying updated with evolving frameworks and best practices in both domains can be demanding, but it's essential for delivering robust, maintainable solutions. Successfully navigating these challenges often leads to increased autonomy and visibility within the team, paving the way for future advancement.
What are the most commonly searched types of Full Stack Engineer jobs in Nevada? The most popular types of Full Stack Engineer jobs in Nevada are:
What are popular job titles related to Mid Level Full Stack Engineer jobs in Nevada? For Mid Level Full Stack Engineer jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Mid Level Full Stack Engineer jobs in Nevada look for? The top searched job categories for Mid Level Full Stack Engineer jobs in Nevada are:
What cities in Nevada are hiring for Mid Level Full Stack Engineer jobs? Cities in Nevada with the most Mid Level Full Stack Engineer job openings:
Software Engineer III- AI & Engineering/Software as a Service

Software Engineer III- AI & Engineering/Software as a Service

Deloitte

Las Vegas, NV • On-site

Other

Posted 19 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Position Summary

Software Engineer III- AI & Engineering/Software as a Service

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26

Work You'll Do

You are a hands-on technical leader who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Key Responsibilities

  • Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
  • Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
  • Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
  • Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
  • Identify technical debt and proactively drive refactoring and improvement initiatives.
  • Participate in system design discussions, architecture reviews, and technical planning sessions.
  • Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
  • Contribute to hiring processes including technical interviews and assessments.

Qualifications

  • 5+ years of relevant consulting or industry experience in a hands-on development role, working across borders and as an integral team member.
  • 5+ years of full-stack software development experience with proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
  • 4+ years building microservices and scalable APIs in a distributed, enterprise environment.
  • Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
  • Excellent problem-solving skills with a strong ability to debug and optimize complex systems
  • Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
  • Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall-agile hybrid).
  • Bachelor's degree in Computer Science, Engineering, or a related discipline - or equivalent professional experience.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

In addition, successful Software Engineer IIIs will have the following preferred background:

  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS).
  • Contributions to open-source projects or a demonstrated personal portfolio.
  • Experience with machine learning pipelines or data engineering workflows.
  • Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and/or agentic AI architectures in a professional setting.
  • Knowledge of security best practices, including OWASP guidelines and secure coding standards.
  • Prior experience in a tech lead or staff engineer capacity.
  • Industry-recognized technology certifications.

Wages + Salary

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 $122,000 to $240,500

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:

Position Summary

Software Engineer III- AI & Engineering/Software as a Service

Join our AI & Engineering team transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

Recruiting for this role ends on 8/1/26

Work You'll Do

You are a hands-on technical leader who designs, builds and ships scalable software systems while mentoring junior engineers and driving technical best practices across the organization. You will architect full-stack and agentic AI solutions, guide distributed engineering teams, and engage with product managers, designers, and stakeholders to deliver high-impact solutions.

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Key Responsibilities

  • Architect, design, and implement scalable, reliable, and maintainable full-stack software systems and services.
  • Design and operationalize RESTful and asynchronous APIs on cloud-native infrastructure (AWS, Azure, or GCP), including containerized workloads, CI/CD pipelines, and infrastructure-as-code.
  • Lead end-to-end delivery of complex features from requirements gathering through deployment and monitoring.
  • Architect and deliver production-grade agentic AI and multi-agent applications using popular frameworks such as LangChain, LangGraph, AutoGen, CrewAI, or Semantic Kernel; design patterns including orchestrator-agent hierarchies, RAG pipelines, tool-calling agents, and context/memory management.
  • Conduct thorough code reviews, enforce coding standards, and champion engineering best practices.
  • Mentor and guide junior and mid-level engineers, fostering a culture of continuous learning and improvement.
  • Collaborate with cross-functional teams including Product, Design, DevOps, and QA to deliver high-quality software.
  • Identify technical debt and proactively drive refactoring and improvement initiatives.
  • Participate in system design discussions, architecture reviews, and technical planning sessions.
  • Troubleshoot and resolve complex performance, scalability, and reliability issues in production systems.
  • Contribute to hiring processes including technical interviews and assessments.

Qualifications

  • 5+ years of relevant consulting or industry experience in a hands-on development role, working across borders and as an integral team member.
  • 5+ years of full-stack software development experience with proficiency in at least one back-end language (Python, Java, .NET/C#, Go, or Node.js) and a modern front-end framework.
  • 4+ years building microservices and scalable APIs in a distributed, enterprise environment.
  • Solid knowledge of relational and/or NoSQL databases (PostgreSQL, MySQL, MongoDB, DynamoDB, etc.).
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes).
  • Excellent problem-solving skills with a strong ability to debug and optimize complex systems
  • Proven track record managing or technically leading delivery teams, including communication cadences and quality assurance across time zones.
  • Experience delivering software across multiple SDLC methodologies (Agile, SAFe, Kanban, waterfall-agile hybrid).
  • Bachelor's degree in Computer Science, Engineering, or a related discipline - or equivalent professional experience.
  • Ability to travel up to 50% based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available

In addition, successful Software Engineer IIIs will have the following preferred background:

  • Experience with event-driven architectures and messaging systems (Kafka, RabbitMQ, SQS).
  • Contributions to open-source projects or a demonstrated personal portfolio.
  • Experience with machine learning pipelines or data engineering workflows.
  • Demonstrated experience designing and delivering solutions that incorporate Large Language Models (LLMs) and/or agentic AI architectures in a professional setting.
  • Knowledge of security best practices, including OWASP guidelines and secure coding standards.
  • Prior experience in a tech lead or staff engineer capacity.
  • Industry-recognized technology certifications.

Wages + Salary

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 $122,000 to $240,500

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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