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
Join Proofpoint’s Cloud Integrations team to build and own secure, scalable shared services. As a Sr. Software Engineer, you’ll drive technical decisions, stay hands-on with implementation, collaborate across teams, and mentor engineers.
You will build reliable, shared capabilities that accelerate cloud integrations and deliver a consistent customer experience across Proofpoint products
What You’ll Do
- Own significant services and product capabilities through their lifecycle, including requirements, design, implementation, automated testing, deployment, observability, production support, and continuous improvement
- Drive delivery from customer or business need to measurable production outcome, proactively addressing dependencies, risks, and operational gaps
- Design, build, and operate secure, highly available, multi-tenant cloud services and distributed data-processing systems
- Make practical design decisions that balance customer value, reliability, performance, security, cost, maintainability, and delivery speed
- Remain hands-on through implementation, design and code reviews, production troubleshooting, and technical validation
- Create and improve CI/CD pipelines, infrastructure as code, automated quality gates, rollback mechanisms, observability, and safe, incremental production rollouts
- Define and improve service-level objectives, actionable metrics, dashboards, alerts, runbooks, and operational readiness
- Participate in incident response and drive durable corrective actions
- Use AI-assisted engineering and automation responsibly to accelerate development, testing, debugging, documentation, and operations while maintaining appropriate human review, security controls, and production validation
- Contribute technical leadership through clear design documents, thoughtful reviews, mentoring, knowledge sharing, and constructive collaboration across teams.
What You Bring to the Team
- Substantial software engineering experience, including demonstrated senior-level impact in complex production environments
- Experience designing, building, and operating scalable, highly available distributed systems and data services
- Ability to independently lead complex technical work, make sound trade-offs, and communicate decisions clearly
- Hands-on experience with cloud-native platforms, containers, and orchestration
- Experience with data modelling, relational databases, performance tuning, and resilient data-processing patterns
- Practical experience with automated testing, CI/CD, infrastructure automation, observability, incident response, and secure software delivery
- Strong software design fundamentals, API and integration design skills, and a disciplined approach to quality, operability, security, and maintainability
- Clear written and verbal communication and an ability to collaborate effectively with engineering, product, security, infrastructure, and operations partners
- A continuous-learning mindset and a team-oriented approach that values mentoring, constructive feedback, and shared success.
Desirable
- Experience Expertise in Go or comparable experience in another modern backend language with the ability to become productive in Go
- Experience with AWS, Kubernetes, and infrastructure-as-code technologies
- Experience with time-series database such as Influx DB and observability tools such as Grafana, Prometheus or comparable technologies
- Experience defining service-level objectives, supporting incremental production rollouts, and contributing to secure software supply-chain practices
- Experience using AI-assisted engineering and automation to accelerate development, automate repetitive workflows, improve testing and delivery, and increase the reliability and efficiency of cloud services.
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!
