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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 The Role As a Senior or Staff Engineer, you will partner with other developers, threat analysts, and data scientists to understand what data, services, and workflows they need in order to support critical business and security use cases. You will design, build, and improve data pipelines, platform capabilities, and supporting services that ingest, transform, store, and expose large-scale security data. Your work will directly influence how quickly and effectively Proofpoint can detect emerging threats, understand attacker behavior, and improve protections for our customers. This is a hands-on engineering role with meaningful impact. You will work across cloud infrastructure, backend services, data pipelines, storage systems, and internal platforms to make high-volume data reliable, discoverable, and actionable. This role includes helping shape technical direction, drive engineering quality, and raise the effectiveness of the broader team through leadership, mentoring, and sound technical judgment. What You'll Do Define new pipelines or datasets to investigate an emerging campaign Implement or improve a production service that makes the data available in near real time to internal users Work with large, messy, high-volume datasets and modern cloud services to build systems that are scalable, maintainable, and operationally sound Build or maintain shared platform services, improve observability, harden reliability, or review architectural choices for a new internal capabilities Work with large, messy & high volume datasets and modern cloud services to build systems that are scalable, maintainable and operationally sound. Help lead technical discussions, identify opportunities to simplify or strengthen shared systems, and guide implementation approaches across projects and engineers. Think beyond just code delivery, including testing, monitoring, alerting, documentation, and long-term maintainability. What We're Looking For An inquisitive mindset and the ability to learn where data exists in a large, distributed system, what it means, and how it can be used effectively Strong ability to build reliable services, tools, and data pipelines that make complex data usable at scale A commitment to engineering quality, including testing, operational readiness, and maintainable design Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience 7+ years of relevant engineering experience Expert-level proficiency in at least one of the following languages Java, Golang, Node.js, Scala, or Go Experience designing, building, and operating production-level software in a public cloud environment Experience building systems with strong operational foundations, including testing, monitoring, and alerting, to support demanding SLAs at scale Experience with relational databases and SQL such as MariaDB and MySQL required Recent hands-on experience with Elasticsearch required Experience building and maintaining backend services, data pipelines, or other high-volume distributed systems Comfort working in Linux/Unix environments and using CLI-based development and debugging workflows Preferred Experience with AWS services, especially data and serverless technologies such as SQS, Lambda, Glue, or Spark Experience working with large-scale analytics or near-real-time data processing systems Familiarity with containers 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!
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.