Sr. Software Engineer

Top 3-5 Technical Skills Needed: 
Azure DevOps
Cloud Infrastructure
Linux 
Programming Languages: Primary pipeline development language with be python. Some datatypes and formats may require the use of other languages (i.e. java, R, etc.) because the libraries/frameworks/sdks available to work with those datatypes and formats are not available in python
Operating Systems: Primary operating system for data pipeline execution will be linux, with data pipelines packaged, deployed, and run as containers.
Data source systems could be windows or linux based. Infrastructure:
Primary data platform and data pipeline execution infrastructure will be hosted on Google Cloud Platform (GCP) utilizing cloud native technologies (i.e. Google Cloud Storage, BigQuery, Google Batch, Dataflow, Cloud SQL, etc.).
Data will be replicated from various on-premises sources that include laboratory instruments, network shared drives, and windows desktops attached to instruments.
Development Tools: Sprints, features, and tasks will be managed in Azure DevOps. Code will be managed and versioned Azure DevOps based git repositories. Code will be compiled, packaged, and deployed utilizing Azure DevOps build pipelines.
Data pipelines will be packaged, deployed, and run in docker containers. Docker containers will be stored and versioned in Google Cloud Artifact Repositories. Veracode will be utilized to scan source code for vulnerabilities and Prisma Cloud will be utilized to scan containers.
The standard integrated development environment will be jetbrains (pycharm, intellij, etc.) or VSCode.

Education: Bachelors Degree Required 

Compensation: 80.00-85.00 hourly DOE 
We look forward to reviewing your application. We encourage everyone to apply - even if every box isn’t checked for what you are looking for or what is required.

PDSINC, LLC is an Equal Opportunity Employer.