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Remote Bloomberg Software Engineer Jobs in California

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

This is a remote position. We are seeking a talented Software Engineer to join our engineering team and help design, build, and support modern, scalable software solutions. This role is ideal for a ...

Nourish

Staff Software Engineer

San Francisco, CA · On-site +1

Nourish Blog, Bloomberg, Fierce Healthcare, Digital Native, The Pulse Podcast. This is not a job ... This role is full-time and open to remote or onsite/hybrid out of Nourish's NYC office in the heart ...

NEOGOV

Senior Software Engineer

El Segundo, CA · On-site +1

$184K/yr

Remote Job Type: Full-Time Remote Employment: Remote Optional Job Number: 00943 Department: Development Opening Date: 08/20/2026 About Job Title: Sr. Software Engineer Duties: The Sr. Software ...

DocuSign

Software Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

What you'll do As a Full Stack Software Engineer at Docusign, you will be responsible for owning ... Employee divides their time between in-office and remote work. Access to an office location is ...

Bluon

Collaborate with our local and remote developer team * Help document our app * Perform routine software maintenance Skills Knowledge and Expertise * Strong skills in React.js or similar modern ...

Civic Canvas

Software Engineer

Los Angeles, CA · Remote

$105K - $130K/yr

We are seeking a talented Software Engineer to join our engineering team and help design, build ... REMOTE Benefits 401(k) Parental leave Health insurance Paid time off Employee discount Vision ...

Horizontal Talent

Software Engineer

San Diego, CA · On-site +1

$65 - $101/hr

Join Our Team as a Software Engineer - Driving Innovation in AI and Autonomous Systems! Are you ... Open to remote work with occasional onsite collaboration, contributing to an innovative and ...

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Remote Bloomberg Software Engineer information

What does a Remote Bloomberg Software Engineer do?

A Remote Bloomberg Software Engineer is responsible for designing, developing, and maintaining software solutions for Bloomberg's financial products and services while working from a remote location. They collaborate with team members, write code, debug issues, and ensure the software meets high standards for reliability and performance. This role often involves working with large data sets, real-time systems, and financial technology platforms. Remote engineers use various programming languages and tools to build scalable and secure applications that serve Bloomberg’s global client base.

What are the key skills and qualifications needed to thrive as a remote Bloomberg software engineer?

To thrive as a Remote Bloomberg Software Engineer, you need strong programming skills (such as Python, C++, or Java), a solid understanding of computer science fundamentals, and typically a degree in Computer Science or related field. Familiarity with Bloomberg's proprietary systems, distributed computing, cloud technologies, and Agile development tools is highly valued, as is experience with CI/CD pipelines. Excellent problem-solving abilities, remote communication skills, and self-motivation distinguish top engineers in this role. These competencies ensure the delivery of robust, scalable financial software solutions and effective collaboration in a distributed work environment.

How does a remote Bloomberg software engineer collaborate effectively with global teams and stakeholders?

As a Remote Bloomberg Software Engineer, collaboration with global teams is facilitated through a mix of synchronous and asynchronous communication tools such as Slack, video conferencing, and internal documentation platforms. You'll often participate in agile ceremonies, code reviews, and pair programming sessions with colleagues across different time zones. Effective communication, proactive updates, and adaptability to diverse work styles are key to overcoming challenges in remote teamwork. Building strong relationships with product managers, QA engineers, and other developers is essential for delivering robust, client-focused solutions.

What is the difference between Remote Bloomberg Software Engineer vs Remote Bloomberg Data Analyst?

AspectRemote Bloomberg Software EngineerRemote Bloomberg Data Analyst
Required CredentialsComputer Science degree, coding skills (Java, C++, Python)Statistics, data analysis, SQL proficiency
Work EnvironmentDeveloping software, coding, debuggingData interpretation, reporting, data management
Employer & Industry UsageFinancial services, technology teams at BloombergFinancial data, market analysis teams at Bloomberg

While both roles work within Bloomberg's financial ecosystem, Remote Bloomberg Software Engineers focus on building and maintaining software applications, requiring coding expertise. In contrast, Remote Bloomberg Data Analysts analyze financial data to generate insights, emphasizing statistical and analytical skills. Both roles are essential in supporting Bloomberg's financial services, but they differ in daily tasks and skill sets.

What are popular job titles related to Remote Bloomberg Software Engineer jobs in California?

For Remote Bloomberg Software Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Bloomberg Software Engineer jobs in California look for?

The top searched job categories for Remote Bloomberg Software Engineer jobs in California are:

What cities in California are hiring for Remote Bloomberg Software Engineer jobs?

Cities in California with the most Remote Bloomberg Software Engineer job openings:

Remote Bloomberg Software Engineer jobs near you
Infographic showing various Remote Bloomberg Software Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Full Stack Software Engineer - Remote

Los Angeles, CA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 16 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.