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Proofpoint

Sr DevOps Engineer

Proofpoint is hiring a Sr DevOps Engineer. Level rates it ; you can apply on Proofpoint.

Level's read on this job

  • Level rates this role Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include AWS, Azure and Kubernetes.
  • Level classifies it as a senior role.
  • Level lists 130 other open roles at Proofpoint.

AI in this role

Designs, builds, and scales cloud infrastructure, CI/CD pipelines, and Kubernetes deployments with a strong focus on automation and security.

awsazurekuberneteshelmterraform
ai-agentsdevopsci-cdinfrastructure-as-codecloud-infrastructuresecurity

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

We are looking for an experienced Senior DevOps Engineer to lead the design, development, and scaling of our cloud infrastructure with a strong emphasis on automation, security, and operational excellence.

In this role, you'll be a key contributor throughout the entire software development lifecycle, driving initiatives that improve system reliability, scalability, and developer productivity. You will thrive in a fast-paced, evolving environment where adaptability and collaboration are critical.

Key Responsibilities

  • Architect, implement, and manage robust cloud infrastructure leveraging AWS and Azure, following industry best practices.
  • Design and build Kubernetes-based infrastructure and applications, including the development of custom operators to manage complex workloads and Helm applications to deploy our services.
  • Develop and maintain scalable CI/CD pipelines to automate build, testing, and deployment processes.
  • Partner closely with development and operations teams to ensure applications are performant, scalable, and reliable in production environments.
  • Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools and configuration management systems.
  • Implement proactive monitoring, logging, and alerting solutions to maintain system health and quickly resolve issues.
  • Troubleshoot issues across the full stack—from infrastructure and networking to deployment and application runtime.
  • Continuously assess and enhance DevOps workflows to improve efficiency, reduce manual work, and enable faster delivery cycles.
  • Champion security best practices and ensure infrastructure and processes comply with organizational and industry standards.
  • Mentor junior engineers and share your knowledge to elevate the DevOps culture within the team.
  • Proactively innovate and improve beyond standard operational tasks by shaping how systems and operations are designed and executed.
  • Participate in an on-call rotation to respond to production incidents, ensuring timely triage and resolution while contributing to post-incident reviews to prevent recurrence.

What You Bring to the Team

  • 5+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles, with a proven track record of building and supporting production-grade systems.
  • Deep expertise in cloud platforms such as AWS or Azure, and familiarity with core services like EC2, S3, RDS, VPC, IAM, etc.
  • Advanced experience with containerization and orchestration tools including Docker and Kubernetes, with experience developing Kubernetes Operators.
  • Proficiency in one or more scripting/programming languages such as Python, Go, or Bash.
  • Strong knowledge of CI/CD tools like Jenkins/CloudBees, GitLab CI/CD, Harness, or CircleCI, and hands-on experience automating deployment workflows.
  • Solid understanding of networking, cloud security, and Infrastructure-as-Code (e.g., Terraform, CloudFormation, Crossplane).
  • Experience with observability tools like Coralogix, Datadog, Prometheus, Grafana, or OpenTelemetry.
  • Excellent analytical and problem-solving skills, with a keen ability to identify root causes and drive resolution across diverse systems.
  • Strong communication skills and the ability to work effectively across teams in a collaborative, agile environment.
  • Fluency in both Spanish and English, with outstanding written and verbal communication in both languages.

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 accessibility@proofpoint.com.

 

How to Apply

Interested? Submit your application along with any supporting information- we can’t wait to hear from you!

How we rate this

Sr DevOps Engineer at Proofpoint rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsDevOpsCI/CDInfrastructure As CodeCloud InfrastructureSecurityAWSAzure

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where devops was part of your work. What did you do?
  3. Tell me about a project where ci/cd was part of your work. What did you do?
  4. Tell me about a project where infrastructure as code was part of your work. What did you do?
  5. Tell me about a project where cloud infrastructure was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, DevOps, CI/CD, Infrastructure As Code, and Cloud Infrastructure. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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