Member of Technical Staff

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint in hybrid environments—from on-premises to SaaS to containers to cloud.

We're transforming the software industry. We're Flexera. With more than 50,000 customers across the world, we're achieving that goal. But we know we can't do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans? Come and see why we're consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at

Job Title: Member of Technical Staff

Experience: 6+ years

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.

Flexera 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.

Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI (Diversity, Equity, and Inclusion) council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.

We encourage candidates requiring accommodations to please let us know by emailing

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