Sr. Software Engineer

Proofpoint

38d

About The Position

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 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. That’s why we’re a leader in next-generation cybersecurity. Protection Starts with People. We are seeking a Senior Software Engineer to build, operate, and continuously improve backend services and detection capabilities in a production environment. You will work across the full lifecycle—design, implementation, deployment, monitoring, and incident response—bringing strong engineering fundamentals, operational ownership, and an innovative mindset (including comfort applying AI-assisted approaches) to improve reliability and detection outcomes.

Requirements

Strong experience building production systems with one or more of Java, Go, Python (comfort working across multiple languages preferred).
Demonstrated ability to operate services in production, including on-call and escalation handling.
Hungry for new knowledge, innovation, architectural and algorithmic optimizations
Hands-on familiarity with modern observability stacks such as: Prometheus (metrics), Grafana (dashboards), and PagerDuty (incident management).
Strong problem-solving skills with a proactive approach to finding and addressing issues.
Team player and effective communicator—able to coordinate during incidents and explain technical tradeoffs clearly.

Nice To Haves

Experience with Coralogix (logging/observability).
Experience building or improving detection systems (signal extraction, alerting logic, triage workflows).
Comfort using AI-assisted tooling thoughtfully (e.g., to accelerate investigation, automation, or detection logic), with good engineering judgment.

Responsibilities

Build and maintain backend services using Java, Go, and Python, selecting the right tool/language for the job.
Own operational excellence for your services: Participate in an on-call rotation and handle escalations with urgency and good judgment.
Diagnose complex production issues, drive mitigation, and lead root-cause analysis and follow-ups.
Observability & monitoring: Use and improve alerting/monitoring with PagerDuty, Prometheus, and Grafana. Experience with Coralogix is a strong plus.
Proactively identify problems before they become incidents: Seek out reliability, performance, and correctness issues.
Improve runbooks, dashboards, alert quality, and automation.
Deliver pragmatic solutions across a mix of work: Comfortable taking on sometimes “boring” but necessary projects (maintenance, migrations, refactors, operational hardening).
Bring an innovative spirit—especially around detection solutions and smarter ways to surface/triage issues.
Collaborate closely with engineers and stakeholders: Communicate clearly in incidents and design discussions.
Contribute to a culture of learning, blameless postmortems, and continuous improvement.