Senior Backend Engineer

About Us:
We are the leader in human-centric cybersecurity. Half a million customers including 87 of the Fortune 100 rely on Proofpoint to protect their organizations. Were driven by a mission to stay ahead of bad actors and safeguard the digital world. Join us in our pursuit to defend data and protect people.

How We Work:
At Proofpoint youll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback challenges and opportunities Accountable for results and best-in-class outcomes Visionary in future-focused problem-solving Exceptional in execution and impact.

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. Thats why were a leader in next-generation cybersecurity.
Protection Starts with People. Proofpoint.

The Role

We are looking for a Senior Backend Engineer to join our Algo & MLOps 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 supporting model predictions adhere 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. Were 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

#LI-Hybrid

Why Proofpoint At Proofpoint we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons youll love working with us:

Competitive compensation

Comprehensive benefits

Learning & Development: We are committed to the growth and development of our team members offering a range of programs including leadership and professional development workshops stretch project assignments and mentoring opportunities to help employees reach their full potential.

Flexible work environment: Remote options hybrid schedules flexible hours etc..

Annual wellness and community outreach days

Always on recognition for your contributions

Global collaboration and networking opportunities

Our Culture:

Our culture is rooted in values that inspire belonging empower purpose and drive success-every day for everyone. 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 . How to Apply Interested Submit your application here We cant wait to hear from you!