Senior Staff Software Engineer

Details

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.

This role is part of the Observo.ai engineering organization and will require partial on-site presence at our Mountain View, CA headquarters.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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

Compensation and Legal

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

$180,000—$248,000 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.