Hybrid Opportunity as Senior Data / DevOps Engineer in Pune, IN

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:

1. 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.

2. 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.

3. 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.