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About the role
SummaryThe 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: HighEvidence: 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. .
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