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Job Location: Draper, UT
It’s fun to work in a company where people truly BELIEVE in what they’re doing!
We’re committed to bringing passion and customer focus to the business.
Role
The ML Labs organization within Proofpoint has ushered the next wave of intelligent features into the cybersecurity and compliance products of the company. We seek a Software Engineer who embodies our values and who desires to work on next-gen AI/ML systems that will transform our future product offerings.
We are accepting applicants at both the junior and senior level. You’ll be part of a small team working with other engineers and data scientists to improve the security and efficiency of Proofpoint’s customers by taking product ideas from concept to production. The ideal candidate will understand the issues related to working with data at scale. You will need a passion for learning new technologies and the ability to understand new concepts quickly.
The immediate project needs require both Java and Python proficiency as you will help build out a large-scale data pipeline that will host the next generation of machine learning models designed to improve our suite of compliance related products. Additionally, you’ll support and improve an existing product that applies machine learning models that streamline the compliance process for some of our Fortune 500 customers.
What You’ll Do
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Write Java code for an ETL pipeline that will process billions of messages each month.
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Write Python code that wraps various machine learning models permitting them to process various message data streams.
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Write Terraform code that provisions parts of the machine learning application build and runtime infrastructure.
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Work with data scientists to capture and label data, build and deploy ML models, and measure their efficacy.
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Deploy these various applications and systems in an AWS cloud environment.
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Develop appropriate unit and integration tests.
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Measure and monitor system performance for scalability and up-time.
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Interact with other Proofpoint teams on product integration
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Work with partners outside of the ML Labs team, including product managers and domain experts, to make sure that we are delighting our internal customers and stakeholders.
Desirable qualifications
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BS and/or MS degree in Computer Science or closely related field
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Interest in data processing, machine learning, and/or computer security
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Experience with the full product lifecycle, from requirements to production
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Experience with infrastructure-as-code (e.g., Terraform) in a cloud environment (AWS preferred)
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Experience with containerization, cluster management, and orchestration (Kubernetes preferred)
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Proficiency deploying and maintaining scalable and highly available applications
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Familiarity with the AWS suite of technologies
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Knowledge of source control management, coding standards, code review, and build processes
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Strong experience in Java and/or Python and a willingness to program in both
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Knowledge of Unix/Linux shell and command-line utilities
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Strong verbal and written communication skills
If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!
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