We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁.

We also provide body and team leasing services in IT, providing specialists in various fields.

Model: remote

Employment type: full-time

Background & Project:

Digital biomarkers from smartphones and wearables are revolutionizing medicine by providing real-time health data from patients worldwide. These innovations accelerate clinical development and enable more personalized treatments.

To power these insights, we have built data pipelines in the cloud to ingest and process the sensor data coming from mobile and wearables devices. Central to this is the DA Workspace (DA WS) infrastructure, which enables data scientists to access and analyze this data at scale.

We are seeking a Python Engineer to further enhance and maintain DA WS and its associated components, ensuring our cloud data processing system (CDPS) remains robust, and innovative.

The ideal candidate is a results-driven python engineer with a proven track record of delivering digital solutions within an agile environment.

Responsibilities:

Architecture & Development: Design and implement scalable, maintainable Python applications and microservices within the CDPS ecosystem.
System Optimization: Identify and resolve performance bottlenecks in the codebase, optimize cloud resource usage (Azure), and ensure system reliability.
Technical Collaboration: Work closely with Data Scientists, Engineers and Product Managers to translate complex analytical requirements into efficient technical implementations.
Code Quality & DevOps: Lead by example in software best practices, including CI/CD automation, and rigorous code reviews.
Lifecycle Management: Support the full software development lifecycle in a regulated environment, ensuring that code meets both performance and compliance standards.

Requirements:

Expert-level proficiency in Python (specifically for data-intensive applications)
Experience using modern tools in Python, like Poetry, and optionally UV and Ruff
Proven experience building on cloud platforms (e.g., Microsoft Azure, AWS)
Strong hands-on experience working with Linux virtual machines in cloud environments
Proficiency with Linux command-line tools and shell scripting (Bash or similar)
Familiarity with process management, cron jobs, logging systems, and service monitoring
Ability to troubleshoot performance and runtime issues directly on Linux hosts
Experience in Infrastructure as a Code is a big plus (Terraform/Pulumi, Bicep)
Strong understanding of database technologies (SQL and NoSQL)
Proficient in DevOps best practices, including CI/CD, version control, and robust unit testing with pytest
Experience working in an Agile (Kanban/Scrum) environment, with the ability to turn Jira tickets into high-quality technical deliverables
Strong analytical skills with the ability to debug complex, distributed systems and optimize for both latency and throughput
Ability to explain technical trade-offs to non-technical stakeholders and document architectural decisions clearly in Confluence.

Senior Python Developer

Craftware