Senior Backend Engineer (Machine Learning)

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Corporate Overview

Proofpoint is a leading cybersecurity company protecting organisations’ 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 organisations 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 is why we are a leader in next-generation cybersecurity.

The Role

We are looking for a Senior Backend Engineer to join our Algo & MLOps team. In this pivotal role, you will drive the implementation of cloud infrastructure and services enabling the research, training and productionisation 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 support model predictions adhering to our requirements of latency, reliability and scale. You will also help promote software development best practices and encourage innovative approaches to problem-solving within the team.

Your day-to-day

- 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 a diverse set of 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, AWS SageMaker etc.

- 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 tech 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.

What you bring to the team

- 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)
Why Proofpoint
Protecting people is at the heart of our award-winning lineup of cybersecurity solutions, and the people who work here are the key to our success.  We’re a customer-focused and a driven-to-win organization with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly ‘culture-add’, and we strongly encourage people from all walks of life to apply.
We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! #LifeAtProofpoint

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