Sr. Data Engineer/MLOps Engineer

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.

Corporate Overview

Proofpoint is a leading cybersecurity company protecting organizations’ greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks. Leading organizations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most critical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That’s why we’re a leader in next-generation cybersecurity. Protection Starts with People.

The Role

 We are seeking a Semi-Senior Data Engineer/MLOps Engineer with at least 3 years of experience to join our collaborative Data Engineering Team at Proofpoint. This role is crucial in designing, building, and maintaining the infrastructure that powers our machine learning and data pipelines. You will work across ETL, MLOps, and data engineering, ensuring that our Data Mining capabilities are state of the art.

We are looking for candidates with an engineering background (Computer Science, Software Engineering, or related fields) who are passionate about designing and implementing robust systems to support data Mining and Knowledge representation

What You Bring to the Team

As a key team member, you will focus on building and optimizing data pipelines and ensuring the scalability of mined knowledge. You will work closely with data scientists, software engineers, and security teams to enable seamless model deployment, monitoring, and maintenance.

We need strong engineering skills to design systems that handle large-scale data processing efficiently. While experience with MLOps best practices and cloud-based ML infrastructure is highly preferred, candidates with strong software engineering and data engineering backgrounds who are eager to expand into MLOps are also encouraged to apply.

Your contributions will directly enhance our ability to detect security threats, ensuring that our Data pipelinesare deployed and maintained at the highest standards.

Day-to-Day Responsibilities

• Design, build, and optimize ETL and data pipelines to support machine learning models and analytics.

• Automate ML workflows, implementing CI/CD pipelines, model versioning, and monitoring to ensure reliability in production.

• Develop and maintain cloud-based infrastructure (AWS, Kubernetes,

Why Proofpoint

As a customer focused and driven-to-win organization with leading edge products, there are many exciting reasons to join the Proofpoint team. We believe in hiring the best the brightest and cultivating a culture of collaboration and appreciation. As we continue to grow and expand globally, we understand that hiring the right people and developing great teams is key to our success! We are a multi-national company with locations in many countries, with each location contributing to Proofpoint’s amazing culture!  #LI-AN1

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!