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Google Coding Jobs in Utah (NOW HIRING)

Senior Software Engineer - AI Coding Agents

Sandy, UT · On-site

$116.50K - $153.50K/yr

... Anthropic/Google/xAI • Model Context Protocol (MCP) -- building or consuming MCP servers for ... coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents ...

GCP Solution Architect

Salt Lake City, UT · On-site

$61 - $80.25/hr

VPC, IAM, Load Balancing, KMS Strong experience with Kubernetes, containers, and microservices Infrastructure as Code using Terraform Preferred Qualifications Google Cloud Professional Cloud ...

Responsibilities : • Own and manage Google Tag Manager and analytics instrumentation across our ... DOM code • Experience building and maintaining dashboards and reports (GA4, Looker, or similar ...

New

... Google, and OpenAI, spanning prompt design and evaluation, agent orchestration, retrieval (RAG), tool use, multi-step pipelines, MCP servers, and emerging patterns like computer use, code execution ...

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Google Coding information

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How much do google coding jobs pay per hour?

As of May 30, 2026, the average hourly pay for google coding in Utah is $30.06, according to ZipRecruiter salary data. Most workers in this role earn between $22.74 and $36.35 per hour, depending on experience, location, and employer.

What is a Google Coding job?

A Google Coding job typically refers to a software engineering or developer role at Google, where employees design, develop, test, and maintain software products and systems. These roles require strong programming skills in languages like Python, Java, or C++, along with problem-solving and algorithm expertise. Engineers at Google work on a wide range of projects, including search algorithms, AI, cloud computing, and mobile applications.

What are the key skills and qualifications needed to thrive in the Google Coding position, and why are they important?

To thrive in a Google Coding role, candidates typically need a strong background in computer science, proficiency in programming languages such as Python, Java, or C++, and a degree in a relevant field. Comfort with version control systems like Git, familiarity with large-scale codebases, and experience using cloud technologies (such as Google Cloud Platform) are also advantageous. Outstanding problem-solving abilities, collaboration, and effective communication skills are important soft skills for excelling on engineering teams. These competencies enable innovation, efficient teamwork, and the development of high-quality, scalable software solutions at Google.

What does a typical workday look like for someone in a Google Coding role?

A typical day for someone in a Google Coding role involves writing, testing, and reviewing code, participating in team meetings such as daily standups or sprint planning, and collaborating closely with other engineers and cross-functional partners. You may also spend time conducting code reviews, troubleshooting technical challenges, and refining project requirements with product managers or designers. The work environment is dynamic, supportive, and oriented toward both individual contributions and teamwork. This structure ensures that engineers at Google have opportunities to learn from peers, contribute to impactful projects, and continually grow their technical and professional skills.
What are the most commonly searched types of Google Coding jobs in Utah? The most popular types of Google Coding jobs in Utah are:
What are popular job titles related to Google Coding jobs in Utah? For Google Coding jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Google Coding jobs in Utah look for? The top searched job categories for Google Coding jobs in Utah are:
What cities in Utah are hiring for Google Coding jobs? Cities in Utah with the most Google Coding job openings:
Infographic showing various Google Coding job openings in Utah as of May 2026, with employment types broken down into 88% Full Time, 8% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $62,527 per year, or $30.1 per hour.
Senior Software Engineer - AI Coding Agents

Senior Software Engineer - AI Coding Agents

NiCE

Sandy, UT • On-site

$116.50K - $153.50K/yr

Full-time

Posted 11 days ago


Job description

Job Summary:
NiCE is a leading software company that transforms cloud operations using AI. They are seeking a Senior Software Engineer to build AI-powered operational platforms, focusing on integrating AI models and automating complex workflows in production environments.
Responsibilities:
• Build and scale AI-driven workflows and automation systems
• Develop integrations with systems like monitoring platforms, ticketing tools (ServiceNow, Jira, OpsGenie), CI/CD pipelines, and cloud services
• Design and implement APIs, tools, and data pipelines that power AI-driven decision-making
• Work on LLM integrations, prompt engineering, and orchestration layers — streaming responses, function calling, tool use, RAG pipelines, agentic orchestration
• Build and maintain full-stack AI applications using TypeScript, React, and Next.js — from user dashboards and personalized experiences to real-time analytics and interactive tools
• Translate real-world operational problems into automated, intelligent solutions
• Collaborate with Product, SRE, and Infrastructure teams to deliver end-to-end capabilities
• Improve system performance, reliability, and observability
• Build evaluation and observability systems — measure model capabilities, monitor output quality, and create dashboards that keep the product improvable
• Create reusable platforms and tools that accelerate development — component libraries, shared abstractions, internal tooling that multiplies team productivity
• Design and develop scalable backend systems for AI-powered platforms
• Build and maintain AI integrations, workflows, and automation pipelines
• Implement REST APIs, microservices, and event-driven architectures
• Design and implement database schemas and queries for complex domains — tracking, engagement, reporting
• Work with both structured and unstructured data for AI use cases
• Contribute to CI/CD pipelines, testing, and deployment automation
• Troubleshoot and optimize production systems
• Collaborate with cross-functional teams to deliver high-quality solutions
• Contribute to reusable frameworks and engineering best practices
• Prototype fast — move from concept to working demo in days, ship incrementally
Qualifications:
Required:
• 5+ years of software engineering experience, strong focus on full-stack web development
• Expert in TypeScript and React — performance optimization, modern patterns (hooks, context, suspense), component architecture
• Production experience with Next.js — App Router, Server Components, API routes, SSR/SSG, edge deployment
• Hands-on experience with LLMs — prompt engineering, streaming APIs, function calling, tool-use, chaining and orchestration patterns
• Experience with Vercel AI SDK — unified LLM provider interface, streaming, structured output, tool calling across OpenAI/Anthropic/Google/xAI
• Model Context Protocol (MCP) — building or consuming MCP servers for extensible AI tool use
• Strong backend fundamentals — Node.js or Python, REST/GraphQL APIs, relational databases, Redis, auth
• Solid database design — PostgreSQL, Drizzle ORM, schema modeling for complex domains, query optimization, migrations
• Experience building scalable, distributed systems in cloud environments (AWS / Azure)
• Working knowledge of CI/CD, Docker, Kubernetes
• Familiarity with Tailwind CSS, Radix UI and modern component-driven UI development
• High agency — you operate independently in ambiguous environments, take ownership of problems, and drive them to completion
• Strong problem-solving and analytical skills
• Ability to work in a fast-paced, evolving environment
• Communicate effectively with both technical and non-technical stakeholders
Preferred:
• Experience building agentic coding tools, AI agent frameworks, or developer-facing SDKs/APIs (Claude Agent SDK, OpenAI Agents SDK)
• Experience with Vercel ecosystem — Next.js, AI SDK providers, Turbopack
• Background in evaluation frameworks — measuring model capabilities, collecting human feedback at scale, A/B testing outputs
• Experience with sandboxed execution environments for safely running AI-generated code
• Built research tools, experimentation platforms, or scientific software
• Proficiency with Python — FastAPI/Django, data pipelines, ML tooling
• Knowledge of observability tools (Grafana, Prometheus, Sentry, etc.)
• Experience building automation or internal platforms
• Familiarity with real-time features — WebSockets, streaming UX, collaborative interfaces
• Knowledge of advanced web technologies — WebGL, WebAssembly, web workers, PWAs
• Experience with alternate JS runtimes — Bun, Deno
• Built open-source tools or platforms with active user communities
• Strong quantitative foundation (math, physics, or related fields)
Company:
NiCE is transforming the world with AI that puts people first. Founded in 1986, the company is headquartered in Ra'anana, ISR, with a team of 5001-10000 employees. The company is currently Late Stage.