Cybersecurity Expert

At Proofpoint, we are a leader in human-centric cybersecurity. Our mission is to stay ahead of bad actors and safeguard the digital world.

We have half a million customers, including 87 of the Fortune 100, who rely on us to protect their organizations. We drive innovation by developing cutting-edge technologies that enable our customers to defend data and protect people.

We are seeking an experienced Cybersecurity Expert to join our Algo & MLOps team. As a key member of this team, you will be responsible for driving the implementation of cloud infrastructure and services that enable the research, training, and productionization of advanced ML models powering our email threat detection and data loss prevention products.

You will collaborate closely with Data Scientists, Backend, and Data Engineers to lead major initiatives end-to-end, ensuring that our ML infrastructure and services adhere to requirements of latency, reliability, and scale. Your expertise will also be instrumental in promoting software development best practices and encouraging innovative approaches to problem-solving within the team.

Key Responsibilities:

• Develop, deploy, and maintain low-latency, scalable, and reliable applications and infrastructure using Python and Terraform on AWS cloud
• Collaborate closely with data scientists, MLOps, and backend engineers to build and manage infrastructure and services for training and deployment of diverse ML and NLP models
• Build and maintain batch and real-time feature computation pipelines capable of processing complex structured and unstructured data using technologies such as Spark, Apache Airflow, and AWS SageMaker
• Contribute to the implementation of foundational ML infrastructure such as feature storage and engineering, asynchronous (batch) inference, and evaluation
• Apply your keen product mindset and technical savvy to help shape the future of our ML Platform, contributing to our progressive vision
• Cultivate a supportive environment by providing thoughtful, actionable feedback, fostering growth, and development among team members

Requirements:

• Several years of industry experience working on distributed systems and building high-scale applications in a managed cloud environment (AWS/Azure/GCP)
• Strong Python knowledge; experience developing and deploying production-grade software using asyncio
• Hands-on experience with at least one Infrastructure-As-Code framework
• Strong understanding of engineering and infrastructure best practices and general software development principles
• Excellent communication abilities, ability to engage both technical and business audiences alike, and experience leading cross-functional projects

Good to Have:

• Hands-on experience designing and building software and infra components powering at-scale ML predictions, such as feature engineering/storage solutions, model training/monitoring, and ML inference services
• Proficiency in creating and optimizing high-throughput ETL/ELT pipelines using a Big Data processing engine such as DataBricks Workflows, Spark, Flink, Dask, dbt, or similar
• Experience building software and/or data pipelines in the AWS cloud (SageMaker Endpoints, ECS/EKS, EMR, Glue)

Benefits

We offer a comprehensive compensation package that includes learning and development opportunities, flexible work environments, annual wellness and community outreach days, and always-on recognition for your contributions.

Our Culture

We value a culture that inspires belonging, empowers purpose, and drives success. We encourage applications from individuals of all backgrounds, experiences, and perspectives. If you need accommodation during the application or interview process, please reach out to accessibility@proofpoint.com .