Summary
The Senior Data / DevOps Engineer is responsible for the maintenance, evolution, and optimization of the SyGrow platform (a GenAI-enabled, data-driven solution).
Responsibilities:
- AI-Assisted Development: Integrate GenAI coding tools into daily workflow.
- Application Maintenance: Support the SyGrow platform across environments.
- Data Platform Management: Manage Microsoft Fabric components and optimize pipelines.
- Backend Development: Develop and optimize APIs using FastAPI.
- CI/CD Implementation: Design secure pipelines on Azure DevOps.
- Performance Optimization: Improve API response times and resource utilization.
- Collaboration: Work with stakeholders and contribute to agile processes.
Must Haves:
- Strong professional experience in Python, especially FastAPI.
- Solid knowledge of Microsoft Fabric components.
- Hands-on experience with Azure services.
- Expertise in DevOps and CI/CD practices.
- AI-First Mindset with practical experience in AI tools.
Nice to Haves:
- Experience with GenAI evaluation frameworks.
- Knowledge of Salesforce integrations.
Other Details:
- Team Environment: Fast-paced, startup-like.
- Key Technologies: Microsoft Fabric, Azure, FastAPI.
Reason (Must Have):
- Python Mastery: Essential for developing maintainable APIs and robust backend services.
- Microsoft Fabric Knowledge: Crucial for data optimization and integration tasks.
- Azure Experience: Required for managing cloud services effectively.
- CI/CD Expertise: Necessary for maintaining secure and reliable deployment pipelines.
- AI-First Mindset: Important for leveraging AI tools to enhance software engineering practices.
Reason (Nice to Have):
- GenAI Framework Experience: Adds depth in deploying AI solutions efficiently.
- Salesforce Knowledge: Enhances integration capabilities and business value.
Trust Score:
Score: High
Evidence: The job description provides detailed responsibilities and specific technologies, enhancing clarity in candidate sourcing.
Sourcing Guidance:
The job description provides good technical clarity for sourcing. Consider these potential recommendations to enhance the search:
- Recommendation: Search for candidates with data engineering experience in Azure alongside backend development skills. Rationale: Candidates with these combined skills can effectively manage both the data aspects and server-side logic needed for the SyGrow platform.
- Recommendation: Include candidates familiar with AI-enhanced CI/CD practices. Rationale: This could broaden the talent pool as these practices are becoming prevalent in modern engineering environments.
- Recommendation: Look for professionals with a hybrid background in DevOps and data science. Rationale: Such candidates are likely to thrive at the intersection of data engineering and backend development roles.
