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Remote Software Debugger Jobs in California (NOW HIRING)

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

Excellent problem-solving and debugging skills * Ability to collaborate effectively with ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

Software Engineer

Dublin, CA · On-site +1

$89K - $168K/yr

Excellent problem-solving and debugging skills * Ability to collaborate effectively with ... remote hire at the company's discretion. The candidate's final salary offer will be based on the ...

Job type: Full Time / Hybrid (2 days remote, 3 days in office) Office Location: 3131 Camino del Rio ... Ability to troubleshoot, debug, and optimize applications for performance and reliability.

Software Engineer

San Francisco, CA · On-site +1

$146K - $235K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... Experience designing, developing, troubleshooting, and debugging multi-regional web-services

Build tooling and infrastructure to aid in efficient correlation, debug, and testing * Use AI ... Remote Perks We work remotely Monday & Friday, supported by home-tech setup, and remote wifi ...

Senior Embedded Software Engineer at unspun We are looking for a hands-on, execution-driven Senior ... Experience with fleet management at scale (device identity, config management, remote debugging)

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Showing results 1-20

Remote Software Debugger information

What are the key skills and qualifications needed to thrive as a Remote Software Debugger, and why are they important?

To thrive as a Remote Software Debugger, you need strong programming skills, a deep understanding of debugging methodologies, and experience with software development lifecycles, often supported by a degree in computer science or related field. Proficiency with debugging tools (such as GDB, WinDbg, or Visual Studio Debugger), version control systems like Git, and familiarity with issue tracking platforms are typically required. Analytical thinking, problem-solving skills, and effective remote communication set outstanding debuggers apart. These abilities help quickly identify and resolve software issues, ensuring reliable and efficient software performance in distributed environments.

What is a Remote Software Debugger?

A Remote Software Debugger is a professional who specializes in identifying, analyzing, and fixing software bugs or errors from a remote location. They use specialized tools to connect to software systems or applications over the internet, allowing them to diagnose issues without being physically present. This role is essential for distributed teams or companies with global operations, as it enables rapid troubleshooting and support. Remote Software Debuggers often work with developers and IT teams to resolve software malfunctions, improve performance, and ensure systems run smoothly.

What is the difference between Remote Software Debugger vs Remote Software Tester?

AspectRemote Software DebuggerRemote Software Tester
Required CredentialsKnowledge of debugging tools, programming skills, sometimes certifications in specific languagesUnderstanding of testing methodologies, QA certifications often preferred
Work EnvironmentTypically integrated within development teams, using IDEs and debugging tools remotelyOften works independently or within QA teams, using testing platforms and bug tracking tools remotely
Employer & Industry UsageSoftware development companies, tech firms, gaming, and app developmentSoftware companies, QA firms, tech startups, and app developers

Remote Software Debuggers focus on identifying and fixing bugs within code during development, while Remote Software Testers evaluate software quality through testing processes. Both roles require technical skills but differ in their primary objectives and tools used.

What are some common challenges faced by remote software debuggers, and how can they be managed effectively?

Remote software debuggers often encounter challenges related to communication, time zone differences, and limited access to certain environments or resources. Effective management of these issues includes utilizing robust collaboration tools, maintaining clear documentation, and scheduling regular check-ins with team members. Proactively seeking clarification and sharing progress updates can help ensure alignment, while leveraging remote debugging tools and secure access protocols can address technical barriers. Adapting to these practices enables remote debuggers to work efficiently and remain connected with their teams.
What are the most commonly searched types of Software Debugger jobs in California? The most popular types of Software Debugger jobs in California are:
What are popular job titles related to Remote Software Debugger jobs in California? For Remote Software Debugger jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Software Debugger jobs in California look for? The top searched job categories for Remote Software Debugger jobs in California are:
What cities in California are hiring for Remote Software Debugger jobs? Cities in California with the most Remote Software Debugger job openings:
Infographic showing various Remote Software Debugger job openings in California as of July 2026, with employment types broken down into 4% Internship, 87% Full Time, and 9% Contract. Highlights an 100% Remote job distribution.
Sr. Software Engineer

Sr. Software Engineer

Singular Genomics Systems INC.

San Diego, CA • On-site, Remote

$129K - $171K/yr

Other

Posted 28 days ago


Job description

Description

ABOUT SINGULAR GENOMICS


Singular Genomics is inventing at the forefront of genomics, one of the world's fastest-growing industries. The commercially available G4 Sequencing Platform is a powerful, highly versatile benchtop genomic sequencer designed to produce fast and accurate results. In addition, the company is currently developing the G4X Spatial Sequencer, an upgrade to the G4, which will leverage Singular's proprietary sequencing technology, applying it as an in situ readout for transcriptomics, proteomics and fluorescent H&E in tissue, with spatial context. Singular Genomics' mission is to empower researchers and clinicians to advance science and medicine.


We foster a culture of creativity and technical excellence, both catalysts for innovation. We celebrate diversity, emphasize collaboration and, as we rapidly mature, we are constantly looking at ways we can do better for our people.


Our Headquarters are located on the Torrey Pines Mesa, in La Jolla, California at the center of the biotech hub. Our Manufacturing facility is in Sorrento Valley.


Position Summary:


We're looking for a Senior Software Engineer to join our core software team and contribute across pipeline engineering, operational tooling, and field support. This is a generalist role, where you will be embedded in the team that builds and maintains our core sequencing analysis platform, and you'll help keep that platform healthy and the team around it moving fast.


On any given day, that might mean fixing a bug in the image backup pipeline, triaging a failed sequencing run reported by the field team, improving panel validation logic, or maintaining the build and regression infrastructure that the team depends on. You don't need deep expertise in any one niche, you need solid Python fundamentals, a get-things-done orientation, and the judgment to work confidently across a large, real production codebase.


This position can be remote or on-site. If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.


Responsibilities:

  • Contribute to active development on the sequencing analysis pipeline in Python, including bug fixes, feature work, and code reviews.
  • Own and maintain build configuration, CI/CD pipelines, and regression infrastructure (Jenkins, Bitbucket, HPC).
  • Respond to inbound triage requests from the field and internal teams, diagnosing and resolving pipeline failures on sequencing instruments.
  • Develop and maintain operational tooling including re-run utilities, job monitoring, and pipeline configuration management.
  • Work on data handling features including backup/upload logic, panel management, and sample sheet validation.
  • Implement locking, concurrency controls, and other reliability improvements to the pipeline execution framework.
  • Support package management and dependency maintenance across Python and JavaScript/TypeScript projects.
  • Develop and maintain lightweight web services, internal APIs, and database-backed tooling to support engineering and field operations.
  • Identify and close gaps in observability, documentation, and operational processes.


Required Qualifications:

  • 3-5 years of professional software engineering experience.
  • Solid Python skills; comfortable working in a large, production codebase with real operational requirements.
  • Familiarity with Linux, HPC environments, and distributed job execution.
  • Experience with build systems, CI/CD pipelines, and package tooling (e.g., Jenkins, Bitbucket, Poetry).
  • Comfortable reading and debugging across a broad codebase, including relational databases, web services and pipeline orchestration (Airflow or similar).
  • Working knowledge of JavaScript and openness to learning TypeScript.
  • Strong debugging instincts and the ability to triage ambiguous failures under time pressure.
  • Good communication and collaboration skills in a team environment.


Preferred Qualifications:

  • Familiarity with genomics, sequencing data, or scientific computing pipelines.
  • Experience with PostgreSQL or other relational databases.
  • Exposure to Django or similar Python web frameworks.
  • Experience with Docker and containerized workflows.
  • Familiarity with Airflow or other workflow orchestration systems.


The estimated base salary range for this role based in the United States of America is: $120,900 - $152,700. Additionally, this role is eligible for to receive equity as part of the compensation package. Compensation decisions are dependent on several factors including, but not limited to, an individual's qualifications, location where the role is to be performed, internal equity, and alignment with market data. Should the level of the role change during the hiring process, the applicable salary range may be updated accordingly.


Singular Genomics is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.


Singular Genomics is committed to working with and providing reasonable accommodations to job applicants with physical or mental disabilities. Applicants with a disability who require a reasonable accommodation for any part of the application or hiring process can provide their name and contact information to our Accommodations team at accommodationsrequest@singulargenomics.com. Your request will be responded to as soon as possible.