About Us:
Proofpoint is a global leader in human- and agent-centric cybersecurity. We protect how people, data, and AI agents connect across email, cloud, and collaboration tools. Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows. Our mission is simple: safeguard the digital world and empower people to work securely and confidently. Join us in our pursuit to defend data and protect people.
How We Work:
At Proofpoint you’ll 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
Position Overview
Proofpoint is seeking a Senior DevOps and Data Engineer to join our Data Platform team. This is a hybrid role that sits at the intersection of platform engineering and data infrastructure—you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities. You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely. At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering. If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.
What You'll Do
Design, implement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing, deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.
Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)—covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.
Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.
Develop and maintain the DataOps platform—self-service tooling, pipeline templates, and shared libraries that allow data engineers to spin up production-grade pipelines quickly.
Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.
Design and operate workflow orchestration environments (Amazon MWAA / Apache Airflow, AWS Step Functions) including upgrades, scaling, and reliability hardening.
Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.
Drive security best practices across the data platform: secrets management (AWS Secrets Manager / Parameter Store), least-privilege IAM, network segmentation, and compliance controls.
Collaborate with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.
Lead incident response for data platform outages: on-call participation, root-cause analysis, and post-mortem-driven improvements.
Mentor junior engineers on DevOps and data engineering practices, conduct code and design reviews, and contribute to architecture decision records.
What You Bring to the Team
Required
5+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands-on data engineering work.
Deep expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.
Hands-on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
Proficiency with Infrastructure-as-Code tools—Terraform and/or AWS CDK—for managing production cloud environments.
Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.
Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).
Proven ability to design and operate observability systems (metrics, logging, distributed tracing, alerting) for data and platform services.
Strong communication skills—able to translate operational concerns into clear engineering trade-offs for both technical and non-technical audiences.
Nice to Have
Familiarity with real-time / streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL.
Knowledge of data quality frameworks (Great Expectations, Deequ, or similar) and experience integrating them into CI/CD.
Familiarity with open table formats (Apache Iceberg, Delta Lake) and lakehouse patterns.
Background in cybersecurity, threat intelligence, or security-data analytics environments.
AWS Certified DevOps Engineer – Professional, AWS Certified Data Engineer – Associate, or AWS Certified Solutions Architect certification.
Experience with cost optimization tooling (Infracost, AWS Cost Explorer dashboards, Athena query cost governance).
Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package. Here are just a few reasons you’ll love working with us:
Competitive compensation
Comprehensive benefits
Career success on your terms
Flexible work environment
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 [email protected].
How to Apply
Interested? Submit your application along with any supporting information- we can’t wait to hear from you!
Skills Required
- 5+ years of professional experience in DevOps, platform engineering, or site reliability engineering
- At least 2 years of hands-on data engineering experience
- Deep expertise with AWS S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK
- Hands-on experience with AWS Glue ETL jobs, Crawlers, Data Catalog, Athena workgroups, query tuning, federated queries, and S3 lifecycle, encryption, and event notifications
- Proficiency with Terraform and/or AWS CDK for production cloud infrastructure
- Strong CI/CD experience with GitHub Actions, Jenkins, GitLab CI, or equivalent
- Experience with Docker and container orchestration using Amazon ECS, EKS, or Kubernetes
- Ability to design and operate observability systems for data and platform services, including metrics, logging, distributed tracing, and alerting
- Strong communication skills for explaining operational concerns and engineering trade-offs to technical and non-technical audiences
- Familiarity with real-time or streaming data processing using Apache Kafka, Amazon Kinesis, or Glue Streaming ETL
- Knowledge of data quality frameworks such as Great Expectations or Deequ and CI/CD integration experience
- Familiarity with Apache Iceberg, Delta Lake, and lakehouse patterns
- Background in cybersecurity, threat intelligence, or security-data analytics environments
- AWS Certified DevOps Engineer Professional, AWS Certified Data Engineer Associate, or AWS Certified Solutions Architect certification
- Experience with cost optimization tooling such as Infracost or AWS Cost Explorer dashboards
Proofpoint Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Proofpoint and has not been reviewed or approved by Proofpoint.
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Healthcare Strength — Healthcare coverage spans medical, dental, vision, life, and disability, complemented by global physical, mental, and financial health programs. Wellbeing resources such as mindfulness, resilience, and meditation courses are explicitly highlighted.
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Leave & Time Off Breadth — Time-off provisions include PTO, paid holidays and sick days, with parental and family medical leave available. Added flexibility appears in wellness days, a hybrid-first model, and limited work-from-anywhere periods.
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Fair & Transparent Compensation — Pay is considered competitive in many roles and settings, with external recognition indicating strong standing relative to peers. Feedback suggests employees in several departments view compensation favorably when considering base, bonus, and benefits together.
Proofpoint Insights
What We Do
We provide the most effective cybersecurity and compliance solutions to protect people on every channel including email, the web, the cloud, and social media.
