Senior Staff Software Engineer - Observo AI

Our Purpose At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here. About Us SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters. Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity. What Are We Looking For? We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes. What Are We Looking For? SentinelOne is seeking a Senior Staff Software Engineer to join the Observo.ai team, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for leading the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. The ideal candidate brings extensive expertise in distributed systems, data engineering, and machine learning infrastructure, with a proven track record of driving technical excellence and leading complex engineering initiatives at scale. This role is part of the Observo.ai engineering organization and will require partial on-site presence at our Mountain View, CA headquarters. What Will You Do? Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces) Drive the development and optimization of ML-driven data routing, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights Architect and implement real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic) Establish robust monitoring, alerting, and observability solutions for distributed systems operating at enterprise scale Lead cross-functional technical initiatives, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions Drive system performance, cost efficiency, and reliability optimization through advanced profiling, testing, and infrastructure design Provide technical leadership and mentorship to senior and junior engineers, establishing engineering best practices and culture Evaluate and introduce emerging technologies in AI/ML, data engineering, and observability to maintain competitive advantage Participate in technical decision-making forums and contribute to company-wide engineering standards and practices What Skills and Knowledge Should You Bring? 10+ years of software engineering experience with a focus on distributed systems, data engineering, or ML infrastructure in high-growth SaaS environments Expert-level proficiency in Go, Rust, or Java with a deep understanding of system design patterns, software architecture principles, and performance optimization Extensive experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker) at enterprise scale Proven track record leading and scaling data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks Deep expertise in database technologies, including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems with experience in data modeling and optimization Advanced experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems at scale Expert knowledge of observability and monitoring tools and practices, with experience