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Remote Fintech Software Engineer Jobs in Massachusetts

AI Software Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

AI Software Engineer - Remote

Boston, MA ยท Remote

$80 - $120/hr

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

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 ...

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 ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Go Developer Remote US (Fintech)

Boston, MA ยท Remote

$100K - $200K/yr

Experienced Software Engineer Our client is on crypto's cutting edge technology, and we're looking for the right engineers to join them. This is a remote position for any US candidate. No blockchain ...

Go Developer Remote USA (Fintech)

Boston, MA ยท Remote

$100K - $200K/yr

Experienced Software Engineer Our client is on crypto's cutting edge technology, and we're looking for the right engineers to join them. This is a remote position for any US candidate. No blockchain ...

Software Engineer

Chelmsford, MA ยท On-site +1

$105K - $142K/yr

Software Engineer Brooks is looking for a Software Engineer as we accelerate our growth journey ... Work arrangements may include a mix of in-office and remote work, depending on the nature of the ...

Software Engineer

Lowell, MA ยท On-site +1

$96K - $154K/yr

As a Software Engineer, your main focus will be on designing, developing, testing and collaborating ... For positions with Remote-US locations, the actual salary range for the position may differ based ...

REMOTE At Aquila Technology, you will see our team's passion every day, whether we are building a ... The Software Engineer will work alongside quantum information and computing researchers to develop ...

REMOTE At Aquila Technology, you will see our team's passion every day, whether we are building a ... The Software Engineer will work alongside quantum information and computing researchers to develop ...

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Remote Fintech Software Engineer information

What is a remote fintech software engineer?

A Remote Fintech Software Engineer is a software developer who works from a location outside of a traditional office, often from home, and specializes in building, maintaining, or enhancing financial technology (fintech) applications. These professionals work on products such as online banking platforms, payment systems, investment tools, and blockchain solutions. Their role typically involves coding, testing, and collaborating with cross-functional teams to create secure, scalable, and user-friendly financial software. Working remotely allows them to collaborate with global teams and clients using digital communication and project management tools.

How do remote fintech software engineers typically collaborate with cross-functional teams given the distributed work environment?

Remote Fintech Software Engineers frequently work with product managers, UX/UI designers, and QA specialists through virtual collaboration platforms like Slack, Jira, and Zoom. Effective communication and clear documentation are essential to ensure alignment on project goals, compliance requirements, and tight delivery timelines. Regular stand-up meetings, code reviews, and asynchronous updates help maintain productivity and foster team cohesion, despite working across different time zones. Adapting to this remote collaboration style is important for delivering secure, scalable fintech solutions.

What are the key skills and qualifications needed to thrive as a remote fintech software engineer, and why are they important?

To thrive as a Remote Fintech Software Engineer, you need strong programming skills (often in languages like Python, Java, or C#), a solid understanding of financial systems, and a relevant degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), experience with APIs, and knowledge of security protocols or certifications like AWS Certified Developer or Certified Information Systems Security Professional (CISSP) are highly valued. Exceptional problem-solving, self-motivation, and effective virtual communication are critical soft skills for remote collaboration and complex project execution. These abilities ensure you can build secure, scalable financial solutions and work productively across distributed teams in a highly regulated industry.

What are the most commonly searched types of Fintech Software Engineer jobs in Massachusetts?

The most popular types of Fintech Software Engineer jobs in Massachusetts are:

What job categories do people searching Remote Fintech Software Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Fintech Software Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Fintech Software Engineer jobs?

Cities in Massachusetts with the most Remote Fintech Software Engineer job openings:

AI Software Engineer - Remote

Boston, MA โ€ข Remote

$80 - $120/hr

Full-time

Posted 13 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.