Senior Staff Software Engineer - Observo AI

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 architecting solutions using Prometheus, Grafana, ELK stack, and similar platforms
• Comprehensive understanding of data formats, protocols, and standards used in enterprise observability (OpenTelemetry, StatsD, syslog, JSON, Parquet)
• Extensive experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines for automated deployment and testing
• Strong leadership and technical communication skills with experience driving technical decisions across multiple teams and stakeholders
• Track record of mentoring engineers and establishing technical standards and best practices in complex engineering organizations
• Experience with technical strategy and roadmap planning for large-scale distributed systems
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred

Why Us?

• You will be joining a cutting-edge company, where you will tackle extraordinary challenges and work with the very best in the industry
• You'll lead the technical strategy for technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale
• You'll be a key technical leader on the Observo.ai team that's revolutionizing how organizations handle observability data, with direct impact on customer cost savings and operational efficiency
• You'll collaborate with and lead world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment
• You'll have the opportunity to shape technical direction and drive engineering excellence across cutting-edge AI/ML platforms
• Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
• Unlimited PTO
• Industry-leading gender-neutral parental leave
• Paid company holidays
• Paid sick time
• Employee stock purchase program
• Disability and life insurance
• Employee assistance program
• Gym membership reimbursement
• Cell phone reimbursement
• Numerous company-sponsored events, including regular happy hours and team-building events