Job Details

About Us

At SentinelOne, we're redefining cybersecurity by pushing the limits of what's possible-leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats.

From building industry-leading products to cultivating an exceptional company culture, our core values guide everything we do. We're looking for passionate individuals who thrive in collaborative environments and are eager to drive impact. If you're excited about solving complex challenges in bold, innovative ways, we'd love to connect with you.

What Are We Looking For?

SentinelOne is seeking a Senior Software Engineer to join the Observo AI team, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for designing, developing, and scaling high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. The ideal candidate brings deep expertise in distributed systems, data engineering, and machine learning infrastructure, with a passion for building products that solve real-world data challenges 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?

• Design and implement scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces)
• Build and optimize ML-driven data routing, filtering, and transformation engines to reduce customer data volumes by 80%+ while preserving critical insights
• Develop real-time analytics and anomaly detection systems using advanced machine learning techniques and large language models
• Architect cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog, New Relic)
• Implement robust monitoring, alerting, and observability solutions for distributed systems operating at enterprise scale
• Collaborate with Product and DevOps teams to translate customer requirements into technical solutions
• Optimize system performance, cost efficiency, and reliability through continuous profiling, testing, and infrastructure improvements
• Mentor junior engineers and contribute to engineering culture through code reviews, technical design discussions, and knowledge sharing
• Stay current with emerging technologies in AI/ML, data engineering, and observability to drive innovation and competitive advantage

What Skills and Knowledge Should You Bring?

• 5+ years of software engineering experience with focus on distributed systems, data engineering, or ML infrastructure in high-growth SaaS environments
• Expert-level proficiency in Go, Rust or Java with strong understanding of system design patterns and software architecture principles
• Deep experience with cloud platforms (AWS, GCP, Azure) and container orchestration technologies (Kubernetes, Docker)
• Proven track record in building and scaling data pipelines using technologies like Apache Kafka, Apache Spark, Apache Flink, or similar streaming frameworks
• Strong background in database technologies, including both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra, Redis) systems
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production ML systems
• Expertise in observability and monitoring tools and practices, with experience integrating with platforms like Prometheus, Grafana, or ELK stack
• Solid understanding of data formats, protocols, and standards used in enterprise observability (OpenTelemetry, StatsD, syslog, JSON, Parquet)
• Experience with Infrastructure as Code tools (Terraform, CloudFormation) and CI/CD pipelines for automated deployment and testing
• Strong analytical and problem-solving skills with the ability to optimize complex systems for performance, cost, and reliability
• Excellent communication skills with experience collaborating across engineering, product, and customer-facing teams
• 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 work on technology that directly impacts how enterprises understand and optimize their data infrastructure, solving problems at unprecedented scale
• You'll be part of 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 world-class engineers, data scientists, and product leaders in a fast-paced, innovation-driven environment
• You'll have access to cutting-edge AI/ML tools and platforms, with the opportunity to shape the future of intelligent data processing
• 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

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$128,000-$176,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.