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 ScrumHands-on experience with Full Stack software developmentStrong understanding of cloud platforms (e.g AWS) and containerization technologies (e.g., Docker, Kubernetes)Working experience with DevOps practices and CI / CD pipelinesExperience 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 GitExperience with automated testing tools and frameworksExperience 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 preferredSkills Required
Git, Docker, Api Integration, Aws