Associate Software Engineer - Biological Studies (LIMS)

Must-Have Skills:

• Proficient in a General Purpose High Level Languages (e.g. Python, Java, C#.NET)
• Proficient in a Javascript UI Framework (e.g. React, ExtJs)
• Proficient in a SQL (e.g. Oracle, PostGres, Databricks)
• Experience with event-based architecture (e.g. Mulesoft, AWS EventBridge, AWS Kinesis, Kafka)

Good-to-Have Skills:

• Strong understanding of software development methodologies, mainly Agile and Scrum
• Hands-on experience with Full Stack software development
• Strong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)
• Working experience with DevOps practices and CI/CD pipelines
• Experience with big data technologies (e.g., Spark, Databricks)
• Experience with API integration, serverless, microservices architecture (e.g. Mulesoft, AWS Kafka)
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, Splunk)
• Experience of infrastructure as code (IaC) tools (Terraform, CloudFormation)
• Experience with version control systems like Git
• Experience with automated testing tools and frameworks
• Experience supporting LIMS/ELN platforms such as Benchling, Revvity, IDBS, STARLIMS, Watson, LabVantage, etc.
• Experience handling GxP data and system validation, and knowledge of regulatory requirements affecting laboratory data (e.g., FDA 21 CFR Part 11, GLP, GCP)
• AWS Certified Cloud Practitioner preferred