Member of Technical Staff - Software Engineering

As a Member of Technical Staff at Revenera, you will be responsible for architecting and developing scalable, high-performance systems that handle substantial data throughput. This role demands expertise in cloud platforms, data engineering, and automation, with a strong focus on designing robust architectures and pipelines for large-scale data processing. You will define system architecture, build and optimize data pipelines using Databricks and PySpark, manage AWS solutions, develop automated workflows, and integrate ML models into production pipelines.

Must Have

• Define and implement system architecture for distributed, data-intensive applications.
• Build and optimize data pipelines using Databricks and PySpark.
• Architect and manage AWS-based solutions for compute, storage, and analytics.
• Develop and maintain automated workflows using YAML for deployment and testing.
• Design and deploy ML models into production pipelines for real-time and batch processing.
• Ensure systems can handle substantial data throughput with minimal latency.
• Minimum 6+ years in software development or data engineering roles.
• Excellent problem-solving, communication, and proven ability to guide and support team members.

Good to Have

• AWS Certifications (e.g., 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.

Role Overview

As a Member of Technical Staff, you will architect and develop scalable, high-performance systems that handle substantial data throughput. This role demands expertise in cloud platforms, data engineering, and automation, with a strong focus on designing robust architectures and pipelines for large-scale data processing.

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.

Required Skills & Qualifications

• 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.

Preferred Skills & Qualifications

• AWS Certifications (e.g., 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.

Revenera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations. Regarding disability, we encourage candidates requiring accommodations to please let us know by emailing careers@flexera.com.