Staff Software Engineer, Data

On-site work model with 5 days in office/week in Sunnyvale, CA 

About the Team:

Illumio's new Machine Learning (ML) team embodies a culture of thought leadership, independence, and responsibility, holding a significant and highly visible role within our Engineering division. This dynamic team is tasked with developing state-of-the-art ML solutions for complex cybersecurity challenges. Working directly with the leadership team, the team shapes Illumio's strategic direction and reinforces our leadership in Zero Trust Segmentation. In a world facing some of the greatest cybersecurity threats in history, the impact of our ML team is profound and far-reaching. 

We're looking for engineers who are ready to bring diverse perspectives, innovate relentlessly, and tackle challenging enterprise security issues head-on, leaving a significant mark in the cybersecurity landscape. 

About the Role:

As a data engineer, you should have strong analytical skills and the ability to combine data from different sources to power machine learning that solves cybersecurity issues faced by diverse businesses today. To excel in this role, you must be excited about designing, building and optimizing the data pipelines and building the data platform for model training and production. Your work will have a direct impact on our customers using the ML models for their infrastructure security. 

Key Responsibilities:

• Build and manage data pipelines for ML model training by extracting data from multiple sources including APIs and cloud storage 

• Implement processes that ensure the high quality and integrity of data used in ML models. Monitor data feeds and troubleshoot any data anomalies. 

• Build feature store for storage and retrieval in real-time or batch-mode  

• Collaborate with backend engineers to build an ML platform for training and inference.  

• Transforming data for machine learning training and production use-cases 

• Manage streaming traffic data and static information collection with optimized data pipelines  

Experience:

• Bachelor's in computer science or equivalent degree. Master's degree a plus

• 5+ years of relevant experience

• Experience building data lake solutions and integrations with ML training platform in AWS/Azure 

• Hands-on experience with database/schema design  (preferably Parquet)  

• Scalable data pipelines to extract, transform, and load data from a variety of sources 

• Experience with ML data pipeline workflow management tools like Apache Airflow etc. 

• Hands-on experience with cloud platforms and cloud storage services with AWS, Azure, or GCP.  

• Experience with optimizing data pipelines for performance and throughput 

About Illumio:

Illumio, the pioneer and market leader of Zero Trust segmentation, prevents breaches from becoming cyber disasters. Illumio protects critical applications and valuable digital assets with proven segmentation technology purpose-built for the Zero Trust security model. Illumio ransomware mitigation and segmentation solutions see risk, isolate attacks, and secure data across cloud-native apps, hybrid and multi-clouds, data centers, and endpoints, enabling the world’s leading organizations to strengthen their cyber resiliency and reduce risk.

Illumio believes that an environment of unique backgrounds, experiences, viewpoints, and individual contributions drives our success and makes us stronger together. We are dedicated to creating and maintaining a diverse culture and emphasizing inclusion and belonging. 

Pay Range:

$200,000 USD - $240,000 USD

The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, location, experience, knowledge, skills, abilities, as well as internal equity, alignment with market data, or applicable laws.

Benefits:

At Illumio we offer a wide range of benefits to our eligible team members. Our benefit programs vary by location and can include Medical, Dental, Vision Coverage – Health and Dependent Savings Accounts – Life and Disability Programs – Paid Parental Leave – Voluntary Benefit Programs – Company Sponsored Wellness Program – Wellness Reimbursement Program - Retirement Savings – Equity Opportunities – Paid time off and Paid Holidays – Employee Incentive Program.#LI-KD1 #LI-ONSITE