Job Description

Job Overview: Lab Services in gRED I&A is seeking a highly skilled software engineer to facilitate integrations between lab instruments and downstream machine learning pipelines. The ideal candidate will have a strong background in software development and integration, with experience in various programming languages, databases, and cloud technologies.Job Overview: Lab Services in gRED I&A is seeking a highly skilled software engineer to facilitate integrations between lab instruments and downstream machine learning pipelines. The ideal candidate will have a strong background in software development and integration, with experience in various programming languages, databases, and cloud technologies.

Key Responsibilities:

• Develop software solutions to integrate lab data acquisition instruments with machine learning pipelines.
• Work with various programming languages including Python and Go.
• Manage and integrate data across different database systems (Postgres, SQLite) and networked storage systems (SMB, NFS).
• Utilize cloud technologies such as AWS SNS and SQS for event notification, S3 for object storage, EC2 for virtual machines, and VPC for networking.
• Liaise with clients/customers to develop and deliver production-ready solutions.
• Utilize ticketing systems like Jira, ServiceNow, and GitHub/GitLab Issues for project tracking and management.
• Liaise with clients/customers to develop and deliver production-ready solutions.
• Utilize ticketing systems like Jira, ServiceNow, and GitHub/GitLab Issues for project tracking and management.

Qualifications

Qualifications:

• Experience working in laboratories or with life sciences clients.
• Familiarity with lab instrumentation and common lab data formats (xml, json).
• Experience with databases (Postgres, SQLite) and networked storage systems (SMB, NFS).
• Experience deploying solutions on cloud platforms such as AWS SNS, SQS, S3, EC2, VPC.
• Adept and diligent working with ticketing systems such as Jira, ServiceNow, and GitHub/GitLab Issues.
• Advanced in Python and Go.
• Demonstrated experience in developing and deploying solutions in a production environment.
• Experience with version control systems (git), CI/CD pipelines (GitHub/GitLab), and Configuration-as-Code tools (Terraform, Ansible).
• Experience working with cloud-based data management tools, such as AWS Glue.
• Strong security mindset with knowledge in authentication, encryption, least privilege, and defense in depth.

Additional Information

All your information will be kept confidential according to EEO guidelines.