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Part Time Fidelity Software Engineer Jobs (NOW HIRING)

Software Engineer

Mclean, VA · On-site +1

$69K - $158K/yr

Share Software Engineer The Opportunity: We're looking for a passionate, full-stack software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Chantilly, VA · On-site +1

$86K - $198K/yr

Share Software Engineer The Opportunity: Booz Allen is looking for a Software Engineer who is ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Mclean, VA · On-site +1

$69K - $158K/yr

Share Software Engineer The Opportunity: We're looking for a passionate, full-stack software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Software Engineer

Mclean, VA · On-site +1

$69K - $158K/yr

Share Software Engineer The Opportunity: We're looking for a passionate, full-stack software ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Senior Software Engineer

Columbia, MD · On-site

$190K - $240K/yr

We are looking for a PART TIME Backend Software Developer Level 3 with technical experience. Candidates should have the following qualifications: * TS/SCI Clearance with polygraph * 20 years with a ...

Showing results 41-60

Part Time Fidelity Software Engineer information

See salary details

$71.5K

$112K

$156.5K

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

As of Sep 8, 2026, the average yearly pay for part time fidelity software engineer in the United States is $112,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What does a part time Fidelity software engineer do?

A Part Time Fidelity Software Engineer is responsible for developing, testing, and maintaining software solutions for Fidelity Investments on a part-time basis. Their duties often include writing code, troubleshooting technical issues, collaborating with full-time engineers, and contributing to projects that support the company’s financial products and services. Working part-time allows them to manage a flexible schedule while still engaging in meaningful technical work. They may focus on tasks like improving existing applications, automating workflows, or enhancing security features, depending on the team's needs.

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

To thrive as a Part Time Fidelity Software Engineer, you need a solid background in computer science, software development, and experience with programming languages such as Java, Python, or C#. Familiarity with development tools like Git, CI/CD pipelines, cloud platforms, and possibly certifications like AWS Certified Developer or relevant Agile methodologies is beneficial. Strong problem-solving, teamwork, and effective communication skills help you manage tasks efficiently within limited hours. These abilities ensure you can deliver high-quality software solutions that meet Fidelity’s standards while collaborating effectively in a dynamic, fast-paced environment.

How does the work schedule and collaboration differ for part time Fidelity software engineers compared to full time team members?

Part-time Fidelity Software Engineers typically work fewer hours per week than their full-time counterparts, often on a flexible schedule that can be arranged around other commitments. While core responsibilities such as writing code, participating in code reviews, and attending team stand-ups remain the same, part-time engineers often focus on specific projects or features to align with their availability. They collaborate closely with full-time team members via digital tools and regular check-ins to ensure seamless integration of their contributions. Maintaining clear communication and proactive updates are essential for staying aligned with project goals and timelines.

What is the difference between Part Time Fidelity Software Engineer vs Part Time Fidelity Software Developer?

AspectPart Time Fidelity Software EngineerPart Time Fidelity Software Developer
CredentialsTypically requires a bachelor's degree in computer science or related field, with experience in software engineeringUsually requires similar educational background, often with coding certifications or relevant experience
Work EnvironmentCollaborates with engineering teams, involved in system design, testing, and deploymentFocuses on coding, building applications, and implementing features within projects
Employer & Industry UsageCommonly employed by Fidelity and financial services firms in technical rolesUsed interchangeably in the industry, often within same teams or projects

Both roles require similar technical skills and educational backgrounds, with the main difference being the scope of responsibilities. Engineers often focus on system architecture and integration, while developers concentrate on coding and feature implementation. In many organizations, the titles are used interchangeably, especially in part-time roles within the financial technology sector.

What cities are hiring for Part Time Fidelity Software Engineer jobs?

Cities with the most Part Time Fidelity Software Engineer job openings:

What are the most commonly searched types of Fidelity Software Engineer jobs?

The most popular types of Fidelity Software Engineer jobs are:

What are popular job titles related to Part Time Fidelity Software Engineer jobs?

For Part Time Fidelity Software Engineer jobs, the most frequently searched job titles are:

AI Software Engineer Expert - Remote

San Francisco, CA • Remote

$100 - $200/hr

Part-time

Posted 28 days ago


Job description

Job Title: AI Software Engineering Domain Remote

Job Type: Contractor (Part-Time)
Location: Remote

Job Overview

We are seeking experienced AI Software Engineering Domain Experts to contribute their technical expertise to an innovative project focused on improving next-generation AI systems. In this role, you will evaluate, review, and refine AI-generated software engineering content to enhance the quality, accuracy, and reasoning of AI models. No prior AI experience is required—your software engineering expertise is what matters most.

Key Responsibilities
  • Analyze, review, and improve AI-generated software engineering content for technical accuracy and clarity.
  • Create, refine, and evaluate prompts to improve AI-generated technical outputs.
  • Conduct rubric-based evaluations of AI model responses, providing detailed quality feedback.
  • Draft and edit technical documentation, architecture documents, RFCs, design specifications, and engineering proposals.
  • Perform independent research and fact-checking to validate technical information.
  • Interpret and annotate technical data to support AI model training and evaluation.
  • Collaborate remotely with cross-functional teams to deliver high-quality project outcomes.
Required Skills
  • Critical Thinking
  • Analytical Reasoning
  • Quality Assurance
  • Prompt Engineering
  • AI Output Evaluation
  • Technical Documentation
  • Technical & Professional Writing
  • Content Review & Editing
  • Data Annotation
  • Fact Checking
  • Independent Research
  • Business Communication
  • Problem-Solving
  • Attention to Detail
Preferred Qualifications
  • 3+ years of professional experience as a Software Engineer, Senior Software Engineer, Staff Engineer, Technical Lead, Engineering Manager, Solutions Architect, or similar role.
  • Experience authoring or reviewing technical documentation, architecture documents, RFCs, design specifications, engineering proposals, postmortems, technical blogs, or code reviews.
  • Strong critical thinking, analytical reasoning, and structured problem-solving skills.
  • Excellent written communication and technical editing abilities.
  • Experience with AI coding tools or automated documentation tools is a plus but not required.
  • Advanced degree (Master's, MBA, JD, or PhD) or equivalent professional experience is preferred.