Member of Technical Staff - Software Engineering

Key Responsibilities

• Architecture & Design: Define and implement system architecture for distributed, data-intensive applications ensuring scalability, reliability, and security.
• Data Engineering: Build and optimize pipelines using Databricks and PySpark for large datasets and high-volume data processing.
• Cloud Solutions: Architect and manage AWS-based solutions for compute, storage, and analytics.
• Automation & CI/CD: Develop and maintain automated workflows using YAML for deployment and testing.
• Machine Learning Integration: Design and deploy ML models into production pipelines for real-time and batch processing.
• Performance Optimization: Ensure systems can handle substantial data throughput with minimal latency.
• Collaboration: Work closely with cross-functional teams to deliver end-to-end solutions.

Technical Expertise:

• AWS cloud services
• Databricks with PySpark for large-scale data pipelines
• Experience with data lakehouse architectures for unified analytics and storage
• YAML for automation

• Data & ML: Strong experience with big data processing and machine learning workflows.
• Experience: Minimum 6+ years in software development or data engineering roles.
• Soft Skills: Excellent problem-solving, communication, and proven ability to guide and support team members through technical challenges.

• AWS Certifications (eg, AWS Certified Solutions Architect, AWS Certified Data Analytics).
• .NET for enterprise application development.
• GitHub Actions for advanced CI/CD automation.
• Experience designing and managing large-scale relational and NoSQL databases, ensuring high availability and optimized performance for enterprise-grade workloads.