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Part Time Full Stack Software Engineer Jobs in Salt Lake City, UT

We are currently looking for a part-time Software Support Specialist to join our support team. This ... Knowledge of SQL, C#, and object oriented programming in general. * Must demonstrate the ability to ...

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Part Time Full Stack Software Engineer information

See Salt Lake City, UT salary details

$43.1K

$130.4K

$184.3K

How much do part time full stack software engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for part time full stack software engineer in Salt Lake City, UT is $130,419.00, according to ZipRecruiter salary data. Most workers in this role earn between $107,400.00 and $152,900.00 per year, depending on experience, location, and employer.

What is a part time full stack software engineer?

A Part Time Full Stack Software Engineer is a professional who works fewer hours than a standard full-time schedule, typically 20-30 hours per week, and is skilled in both front-end and back-end web development. This role involves building and maintaining both the client-side (what users see) and server-side (the logic and database) of web applications. Part time positions offer flexibility, making them ideal for students, parents, or those seeking work-life balance, while still contributing to the full software development lifecycle.

What are the key skills and qualifications needed to thrive as a part time full stack software engineer?

A Part Time Full Stack Software Engineer needs strong proficiency in both front-end and back-end programming languages, such as JavaScript, HTML/CSS, and a server-side language, along with a solid grasp of software development principles. Familiarity with frameworks like React or Angular, backend systems like Node.js or Django, and version control tools like Git is typically required. Excellent time management, problem-solving abilities, and effective communication are vital soft skills for balancing part-time responsibilities and collaborating with team members. These skills ensure efficient delivery of robust, scalable solutions while maintaining productivity and integration within a development team.

How does a part time full stack software engineer typically integrate with full time team members and ongoing projects?

Part-time Full Stack Software Engineers often work closely with full-time colleagues through regular stand-ups, code reviews, and collaborative tools like Slack or Jira. Clear communication and well-defined tasks are essential to ensure project continuity, especially when schedules don't fully overlap. You may be assigned specific features or bug fixes that fit your availability, and documentation becomes crucial for seamless handoffs. This structure allows you to contribute meaningfully while balancing other commitments, though proactive communication is key to staying aligned with project goals.

Can I learn full-time part-time full stack software engineer in 3 months?

Becoming a full stack software engineer typically requires several months to years of dedicated learning, depending on prior experience and the complexity of skills such as programming languages, frameworks, and tools. While intensive bootcamps or self-study programs can help acquire foundational skills in about 3 months, gaining proficiency for a full-time role usually takes longer and involves practical experience and continuous learning.

What are the most commonly searched types of Full Stack Software Engineer jobs in Salt Lake City, UT?

The most popular types of Full Stack Software Engineer jobs in Salt Lake City, UT are:

What cities near Salt Lake City, UT are hiring for Part Time Full Stack Software Engineer jobs?

Cities near Salt Lake City, UT with the most Part Time Full Stack Software Engineer job openings:

Infographic showing various Part Time Full Stack Software Engineer job openings in Salt Lake City, UT as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $130,419 per year, or $62.7 per hour.

Software Engineer - Observability, Co-op

Ancestry

Draper, UT โ€ข On-site

Part-time

Posted 7 days ago


Job description

About Ancestry:
When you join Ancestry, you join a human-centered company where every person's story is important. Ancestryยฎ, the global leader in family history, connects everyone with their past so they can discover, preserve, and share their unique family stories. With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives. Over the past 40 years, we've built trusted relationships with millions of people who have chosen us as the platform for discovering, preserving, and sharing the most important information about themselves and their families.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). We will continue to hire and promote beyond the boundaries of our office locations, to enable broadened possibilities for employee diversity.
Together, we work every day to foster a work environment that's inclusive as well as diverse, and where our people can be themselves. Every idea and perspective is valued so that our products and services reflect the global and diverse clients we serve.
Ancestry encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants. Passionate about dedicating your work to enriching people's lives? Join the curious.
Ancestry seeks an exceptional, passionate, and highly motivated Software Engineer - Observability Engineer. to join our Observability team. The Observability team builds and maintains all the observability tools and technologies that help Ancestry monitor the site and detect and resolve customer-impacting incidents. As a Software Engineer on the Observability team, you will lead the development of automated migration tools for OpenTelemetry-based observability platforms while contributing to sensitive data protection and infrastructure operations.
What you will do:
  • Contribute to the development of AI-powered code transformation tools leveraging foundation models (LLMs) and agentic frameworks to migrate application instrumentation to OpenTelemetry standards across multiple languages (Java, Python, Node.js, .NET) and browser-based Real User Monitoring (RUM)
  • Build intelligent parsing and analysis engines using AI agents and Model Context Protocol (MCP) tools to transform existing APM instrumentation code with proper error handling, validation, and comprehensive migration reports
  • Design and implement LLM-driven dashboard migration tools that extract, transform, and recreate observability dashboards across platforms with functional equivalence validation
  • Develop agentic alert migration automation using AI frameworks to export, transform, and migrate alerting policies, conditions, notification channels, and escalation workflows between observability platforms
  • Create comprehensive validation and testing frameworks to compare metrics and traces, build migration progress dashboards, and develop rollback procedures
  • Build CLI tools, scripts, and self-service migration utilities with detailed guides and best practices documentation to enable application teams
  • Contribute to observability operations including log PII detection with near real-time streaming, multi-source log pipeline integration (CloudWatch, Lambda), cost optimization, and infrastructure monitoring (EKS, EC2, Lambda)
  • Support Harness deployment pipeline integration with observability alerts and contribute to operational excellence through code reviews and documentation
  • Partner with application teams, security and compliance teams, and platform engineering teams to understand requirements, pain points, and deliver impactful solutions
  • Present work at team demos and showcase events while contributing to team documentation, runbooks, and best practices

Who You Are:
  • Master's degree in Computer Science, Software Engineering, or a related field
  • Strong development experience in Python with demonstrated ability to write high-quality code
  • AI-assisted development experience: Hands-on experience using AI coding assistants such as Cline, Roo Code, Kiro, Claude Code, GitHub Copilot, Cursor, or similar tools for software development
  • Full-stack development exposure with JavaScript/TypeScript and modern front-end frameworks (React preferred, Vue, or Angular)
  • Multi-language exposure: Familiarity with at least 2-3 programming languages from Java, Python, Node.js, or .NET
  • Solid understanding of software engineering fundamentals: data structures, algorithms, testing, and design patterns
  • Experience with or strong interest in observability concepts: logs, metrics, traces, and distributed systems
  • Experience with database design and SQL (MySQL, PostgreSQL)
  • Exposure with Application Performance Monitoring (APM) tools such as New Relic, Datadog, Dynatrace, or similar platforms is preferred
  • Experience with AWS Cloud services (CloudWatch, Lambda, EKS, EC2, Fargate, SQS, SNS) and containerization technologies (Docker, Kubernetes)
  • Strong analytical and problem-solving skills with ability to explore solutions independently before escalating
  • Excellent communication and collaboration abilities with mindset to seek feedback early and often

This is a part-time, work-study-based opportunity designed for active graduate students. You must be able to commit to 20/hr per week for a duration of 6 months.
Additional Information:
Ancestry is an Equal Opportunity Employer that makes employment decisions without regard to race, color, religious creed, national origin, ancestry, sex, pregnancy, sexual orientation, gender, gender identity, gender expression, age, mental or physical disability, medical condition, military or veteran status, citizenship, marital status, genetic information, or any other characteristic protected by applicable law. In addition, Ancestry will provide reasonable accommodations for qualified individuals with disabilities.
All job offers are contingent on a background check screen that complies with applicable law. For candidates who live in San Francisco, CA, pursuant to the San Francisco Fair Chance Ordinance, Ancestry will consider for employment qualified applicants with arrest and conviction records.
Ancestry is not accepting unsolicited assistance from search firms for this employment opportunity. All resumes submitted by search firms to any employee at Ancestry via-email, the Internet or in any form and/or method without a valid written search agreement in place for this position will be deemed the sole property of Ancestry. No fee will be paid in the event the candidate is hired by Ancestry as a result of the referral or through other means.