At SentinelOne, we’re reimagining cybersecurity by pushing the boundaries of what’s possible—using AI-powered, data-driven innovation to stay ahead of the world’s most advanced threats.

From creating world-class products to nurturing a collaborative, mission-driven culture, our values guide everything we do. We’re looking for curious, passionate people who thrive in dynamic teams and want to make a measurable impact. If you’re motivated by solving hard problems in bold, creative ways, we’d love to hear from you.

What We’re Looking For

We’re hiring a Senior Software Engineer to join our Observo AI team — SentinelOne’s advanced AI-based data optimization and observability platform. In this role, you’ll design, develop, and scale ultra-efficient systems that process massive streams of telemetry data, driving down cost and improving insights for global enterprise customers.

You’ll bring strong expertise in distributed systems, data engineering, and ML infrastructure, and a passion for building systems that solve complex, real-world data challenges at scale. This position sits within the Observo AI engineering organization and includes partial on-site presence at our Mountain View, CA headquarters.

What You’ll Do

Design and develop scalable, high-throughput data processing pipelines capable of handling petabyte-scale telemetry data (logs, metrics, traces)
Build and refine ML-powered data routing, filtering, and transformation systems that significantly reduce data volume while maintaining analytical fidelity
Develop real-time analytics and anomaly detection frameworks leveraging machine learning and large language models
Architect cloud-native microservices and APIs that integrate seamlessly with observability platforms like Datadog, Splunk, Elastic, and New Relic
Implement robust monitoring, observability, and alerting solutions across distributed systems
Collaborate with Product and DevOps teams to translate customer needs into technical execution
Continuously optimize system performance, reliability, and cost-effectiveness through testing, profiling, and infrastructure tuning
Mentor engineers, participate in design reviews, and strengthen engineering best practices across the team
Stay current on emerging AI/ML, data, and observability technologies to inform innovation and strategy

What You’ll Bring

5+ years of hands-on software engineering experience in distributed systems, data engineering, or ML infrastructure
Expertise in Go, Rust, or Java, with a strong grasp of architecture and design principles
Deep familiarity with cloud platforms (AWS, GCP, or Azure) and container orchestration (Kubernetes, Docker)
Proven success scaling streaming or batch data pipelines (Kafka, Spark, Flink, or similar frameworks)
Proficiency in SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, Redis)
Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and MLOps practices for production systems
Knowledge of observability and monitoring tools (Prometheus, Grafana, ELK stack, OpenTelemetry)
Solid understanding of data formats and standards — JSON, Parquet, StatsD, syslog, etc.
Experience with Infrastructure as Code (Terraform, CloudFormation) and CI/CD automation
Strong analytical and optimization skills, with the ability to balance performance, scalability, and cost
Excellent communication and collaboration skills, comfortable working cross-functionally
Bachelor’s degree in Computer Science, Engineering, or related field (advanced degree a plus)

Why SentinelOne

Join a company at the forefront of AI-driven cybersecurity, solving data problems at unprecedented scale
Work on mission-critical observability infrastructure that directly impacts customer efficiency and cost reduction
Collaborate with a world-class team of engineers, data scientists, and product leaders in a fast-paced, innovation-first environment
Access to leading-edge AI/ML tools and research, shaping the next generation of intelligent data processing systems
Competitive benefits including:
Medical, Dental, Vision, 401(k), and commuter benefits
Unlimited PTO and generous paid holidays
Gender-neutral parental leave
Stock purchase program and equity incentives
Wellness programs, gym and cell phone reimbursements
Regular company events, happy hours, and team-building sessions

Compensation

This U.S.-based position offers a base salary range of $128,000 – $176,000 USD, depending on location and experience. Candidates in certain areas may fall under a slightly adjusted range, which will be shared during the hiring process.

SentinelOne is proud to be an Equal Opportunity and Affirmative Action Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. SentinelOne also participates in the E-Verify Program for U.S.-based roles.