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About Scitara

digital transformation for scientific laboratories


cutting-edge software + real-world science


Role Summary

.NET Engineers

architecture decisions, technical leadership, mentorship, and innovation initiatives


Key Outcomes (First 6–12 Months)

  • Build robust backend components, services, and integrations using .NET.
  • Improve performance, reliability, and testability of assigned modules.
  • Deliver features with clean architecture, best practices, and high test coverage.
  • Contribute to CI/CD improvements, observability, and automation.
  • Incorporate AI-assisted development approaches where relevant (e.g., code generation, automated testing insights, documentation enrichment).
  • Senior/Lead levels:
  • Lead architectural discussions and elevate engineering standards.
  • Mentor junior engineers and guide them to create high quality work.
  • Identify opportunities to leverage AI or automation to improve engineering velocity.


Responsibilities

Core Responsibilities (All Levels)

  • Design and develop backend services, APIs, and integrations using

    C# and .NET/.NET Core

    .
  • Build connectors to integrate external systems (REST APIs, instrument integrations, messaging systems).
  • Write secure, maintainable, testable code following engineering best practices.
  • Participate in Agile ceremonies, design reviews, and code reviews.
  • Troubleshoot production and integration issues using structured problem-solving.
  • Collaborate closely with Product, QA, DevOps, and Architecture teams.
  • Use developer productivity tools—including AI-assisted tools (where applicable)—to improve efficiency and code quality.

Additional Responsibilities (Senior / Lead Levels)

  • Own end-to-end design and architecture of key components.
  • Lead technical spikes, proof-of-concept evaluations, and modernization initiatives.
  • Identify opportunities for AI-driven or automation-enabled enhancements.
  • Mentor developers and uplift engineering culture and processes.

Must-Have Skills

  • Strong hands-on experience with

    C#

    and

    .NET/.NET Core

    .
  • Solid understanding of OOP, design patterns, and engineering fundamentals.
  • Experience building APIs, backend systems, integrations, and microservices.
  • Strong debugging, problem-solving, and analytical abilities.
  • Proficiency with SQL/NoSQL databases.
  • Experience with unit testing frameworks (xUnit, NUnit, Moq).
  • Familiarity with Git, CI/CD pipelines, and cloud platforms (Azure/AWS/GCP).
  • Working knowledge and understanding of

    AI-assisted tools

    .

Good-to-Have Skills

  • Experience with distributed systems or event-driven architectures.
  • Familiarity with Docker/Kubernetes and cloud-native development.
  • Experience with messaging systems (Kafka, RabbitMQ, Service Bus).
  • DevOps tooling experience (GitHub Actions, Azure DevOps, Jenkins).
  • Exposure to lab informatics or scientific software.
  • Experience building AI Agents and working with MCP servers
  • Any experience integrating AI models or ML services is a plus.

Success Indicators

  • High-quality, maintainable code with strong test coverage.
  • Ownership of modules and consistent delivery.
  • Effective collaboration within a global team.
  • Demonstrates curiosity, continuous learning, and growth mindset.
  • Shows adoption of AI or automation tools to improve productivity and quality.
  • Senior/Lead: influences architecture, accelerates team capabilities, and drives innovation.


Why Join Scitara?

  • Meaningful impact:

    Build technology that accelerates scientific discovery in pharma, biotech, and life sciences.
  • Cutting-edge engineering environment:

    Cloud-native, integration-heavy, automation-first.
  • AI-forward culture:

    Opportunities to experiment with and adopt AI tools in engineering workflows.
  • Strong career growth:

    Technical leadership, architecture tracks, and cross-functional opportunities.
  • Innovation-driven culture:

    Ownership, creativity, and autonomy are encouraged and rewarded.
  • Global exposure:

    Work with global engineering teams, scientists, and customers.

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