Software Engineer
New
S
Singular GenomicsGenomics
This position can be remote or on-site. If remote, travel to the headquarters in San Diego, CA will be required at least quarterly.Full-TimeMiddle
Salary$108,400 - $127,500. Additionally, this role is eligible for to receive equity as part of the compensation package.
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Job Details
- Experience
- 2–5 years
- Required Skills
- PythonJavascriptJenkinsTypeScriptAirflowCI/CDLinux
Requirements
- 2–5 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.
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.
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