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Software Engineer Python, DevOps, Data

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NieokreśloneOn-siteFull-time

#479072·Dodano 2 dni temu·1

Źródło: LinkGroup

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Tech Stack / Keywords

Python Azure GCP Terraform GitHub ActionsAzure DevOpsGitHubSpotfireDenodoSapio

Podsumowanie oferty

Take end-to-end ownership of the data infrastructure and integrations behind a scientific screening data platform. Build and maintain data pipelines, automate infrastructure and CI/CD, and support production workflows using Python, Azure/GCP, and Terraform.

Wymagania

Strong hands-on proficiency in Python for data integrations, automation, and backend tooling.
Practical experience operating in Azure and/or GCP environments and using Terraform for infrastructure provisioning.
Solid experience with GitHub, GitHub Actions, and Azure DevOps (ADO), including repository governance, PBI-based delivery, and dependency vulnerability management.
Proven experience designing and maintaining data pipelines, APIs, and multi-environment deployments (DEV/UAT/PRD).
Hands-on knowledge of secrets and certificate lifecycle management, IAM/service-account roles, and production troubleshooting.

Nice to have:

Direct experience with Spotfire / DFE, Denodo (data virtualization), or Sapio (LIMS / lab and screening data systems).
Familiarity with R and scientific/R&D data workflows.

Obowiązki

Data Integrations & Pipelines: Build, migrate, and maintain Information Links (ILs) and ETL/API integrations across DEV, UAT, and PRD for core data products, including Sapio, Sample Validation, Bioregister, MOSAIC, and PLATO.
Platform & Cloud Infrastructure: Configure and maintain workspace environments, service accounts, and cloud infrastructure on Azure/GCP using Terraform.
Platform Enhancements (Spotfire / DFE): Deliver functional improvements and bug fixes within Spotfire / DFE, including Fit Validation usability, workflow table optimization, large-file handling, and Open Source R support.
Security & DevOps Governance: Manage GitHub repositories, CI/CD pipelines with GitHub Actions and Azure DevOps, secret rotation, SSL certificate renewals, and vulnerability remediation, including Dependabot alerts and LDAP hardening.
Production Support & Troubleshooting: Investigate and resolve production incidents across data validation pipelines, historical datasets, and external CRO/partner data flows.
Backlog & Delivery Planning: Own the operational backlog in Azure DevOps, breaking down technical enhancements into actionable PBIs and tasks.

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