Senior Software Engineer - LIMS Modernization
New
J
JobgetherLaboratory Information Management
Fully remote work opportunity within the United States.Full-TimeSenior
Salary200,000 - 210,000 USD per year
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Job Details
- Experience
- 7+ years
- Required Skills
- AzureSoftware Engineering
Requirements
- 7+ years of professional software engineering experience with a track record of delivering production software.
- Strong cloud-native engineering fundamentals; Azure experience preferred (AWS or GCP considered).
- Demonstrated experience with Spec-Driven Development, Test-Driven Development, clean architecture, and domain-driven design.
- Hands-on experience with AI-assisted software development tools such as Cursor, Claude Code, or GitHub Copilot.
- Ability to read, understand, reverse-engineer, and improve unfamiliar or legacy codebases.
- Experience creating technical documentation and diagrams using Markdown, Mermaid.js, and Git-based workflows.
- Understanding of automated testing, modular architecture, software quality, and architectural guardrails.
- Strong communication skills for explaining technical reasoning to engineers and stakeholders.
- Experience maintaining or reverse-engineering Perl or other long-lived legacy languages (preferred).
- Background in LIMS, scientific software, or regulated/compliance-driven environments (preferred).
- Experience with Oracle, database migration, PostgreSQL, or Snowflake (preferred).
- Familiarity with containerization (Podman, Docker) and hybrid deployment patterns (preferred).
Responsibilities
- Establish a “blueprints before bricks” approach using Markdown specifications and Mermaid.js.
- Create comprehensive automated test coverage and maintain architectural guardrails.
- Utilize AI-assisted tools like Cursor, Claude Code, or GitHub Copilot for codebase archaeology and prototyping.
- Analyze and reverse-engineer legacy code to produce module-level documentation and identify technical debt.
- Document critical data flows, including sample lifecycles and enterprise integrations.
- Define system placement within Azure cloud infrastructure for high availability and hybrid deployment.
- Partner with staff-level engineering and laboratory stakeholders to align modernization efforts.
- Develop reference implementations for high-risk architectural components.
- Contribute to prompt libraries and coding standards for team-wide adoption.
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