Senior Software Engineer - LIMS Modernization

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Software Engineer - LIMS Modernization based in the United States.

This senior engineering role sits at the center of a major modernization initiative for a mission-critical Laboratory Information Management System (LIMS).
You will combine modern software engineering practices with deep analysis of a long-lived enterprise codebase and its business logic.
The role gives you the opportunity to transform undocumented legacy knowledge into clear specifications, architecture, tests, and production-ready software.
You will work closely with senior engineers, cloud and platform architects, infrastructure teams, and laboratory leadership.
AI-assisted development will be a core part of the engineering workflow, alongside Spec-Driven Development, Test-Driven Development, and clean architecture.
Your work will directly influence the future architecture, reliability, scalability, and maintainability of systems supporting laboratory operations.
This is an opportunity to modernize a critical platform while building software that ultimately supports environmental protection and healthier communities.

Accountabilities

• Drive Spec-Driven Development: Establish a “blueprints before bricks” approach by clarifying designs in Markdown specifications before implementation and documenting architecture as code using Markdown and Mermaid.js.
• Build with Test-Driven Development: Create comprehensive automated test coverage, maintain quality standards, and establish architectural guardrails that preserve modularity and prevent the system from reverting to a monolithic structure.
• Apply AI-assisted engineering: Use tools such as Cursor, Claude Code, GitHub Copilot, or comparable solutions for codebase archaeology, documentation, prototyping, and development while applying sound engineering judgment to AI-generated code.
• Reverse-engineer legacy systems: Analyze unfamiliar code and produce detailed module-level documentation covering purpose, inputs and outputs, dependencies, data models, and known technical debt.
• Document critical data flows: Create version-controlled Mermaid diagrams covering sample lifecycles, enterprise integrations, billing and invoicing triggers, instrument interfaces, and authentication and authorization.
• Manage technical debt: Contribute to integration inventories and technical-debt registers, helping prioritize components for immediate remediation, documentation, deferral, or accepted risk.
• Support cloud modernization: Help define the system’s placement within Azure cloud infrastructure and environment tiers while accounting for high availability, hybrid deployment, and local network requirements for laboratory instruments.
• Collaborate on architecture: Partner with staff-level engineering, cloud, platform, and laboratory stakeholders to ensure the modernization aligns with broader enterprise architecture and avoids unnecessary duplication.
• Develop reference implementations: Build prototypes and proof-of-concept implementations for the highest-risk areas of the target architecture, using evidence to inform technical decisions.
• Accelerate delivery: Help transition the modernization effort from architectural readiness into active development and production delivery without unnecessary ramp-up.
• Create reusable AI workflows: Contribute to prompt libraries, coding standards, and AI-assisted development practices that can be adopted consistently across the engineering team.

Requirements

• 7+ years of professional software engineering experience with a strong track record delivering production software.
• Strong cloud-native engineering fundamentals; Azure experience preferred , with AWS or GCP experience also considered.
• Demonstrated experience with Spec-Driven Development, Test-Driven Development, clean architecture, and domain-driven design .
• Hands-on experience using AI-assisted software development tools such as Cursor, Claude Code, GitHub Copilot, or similar technologies.
• Ability to confidently read, understand, reverse-engineer, and improve an unfamiliar or legacy codebase.
• Experience creating technical documentation and diagrams as code using Markdown, Mermaid.js, and Git-based workflows .
• Strong understanding of automated testing, modular architecture, software quality, and architectural guardrails.
• Strong communication and collaboration skills, with the ability to explain technical reasoning to experienced engineers and cross-functional stakeholders.
• Comfortable constructively challenging technical decisions while remaining open to feedback and alternative perspectives.
• Flexible, resilient, curious mindset with an ability to learn from existing systems while continuously seeking better approaches.
• Preferred: Experience maintaining or reverse-engineering Perl or another long-lived legacy programming language.
• Preferred: Background in LIMS, scientific software, or regulated and compliance-driven environments, including areas such as environmental reporting, chain of custody, or laboratory accreditation.
• Preferred: Experience with Oracle and evaluating database migration strategies, including potential transitions toward PostgreSQL or Snowflake.
• Preferred: Familiarity with Podman, Docker, containerization, and hybrid on-premises/cloud deployment patterns.
• Preferred: Experience with enterprise integrations such as Workday.
• Preferred: Familiarity with prompt engineering and AI workflow optimization.

Benefits

• Annual compensation: $200,000–$210,000 USD, depending on experience, skills, and geographic location.
• Fully remote work opportunity within the United States.
• Opportunity to work on a strategically important enterprise modernization initiative from its architectural and implementation stages.
• Exposure to modern cloud-native engineering, AI-assisted development, Spec-Driven Development, and Test-Driven Development.
• Opportunity to shape the architecture and future technical direction of a mission-critical laboratory platform.
• Collaborative environment involving senior engineers, architects, cloud specialists, platform teams, and laboratory experts.
• Meaningful work supporting systems that contribute to protecting air, water, soil, and communities.
• Equal opportunity workplace committed to inclusion and accessibility.
• Reasonable accommodation available for applicants who require it.
• Opportunity to contribute to technology with real-world environmental and societal impact.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.