Senior Software Engineer

at SentinelOne
📍 Mountain View, United States
USD 128,000-176,000 per year
SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Docker @ 7 Go @ 7 Grafana @ 4 Kafka @ 4 Kubernetes @ 7 MySQL @ 7 Prometheus @ 4 Redis @ 7 Statsd @ 4 DevOps @ 4 Terraform @ 4 SQL @ 7 Spark @ 4 GCP @ 7 Java @ 7 NoSQL @ 7 CI/CD @ 4 Datadog @ 4 Distributed Systems @ 4 Flink @ 4 Machine Learning @ 4 MLOps @ 4 scikit-learn @ 4 TensorFlow @ 4 AWS @ 7 Azure @ 7 Communication @ 4 Data Engineering @ 1 MongoDB @ 7 Parquet @ 4 PostgreSQL @ 7 CloudFormation @ 4 Rust @ 7 Microservices @ 4 API @ 4 JSON @ 4 Design Patterns @ 7 Splunk @ 4 PyTorch @ 4 Cassandra @ 7 OpenTelemetry @ 4

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.

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

Responsibilities

  • 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.

Requirements

  • 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.

Benefits

  • Medical, Vision, Dental, 401(k), Commuter, Health and Dependent FSA
  • Unlimited PTO
  • Industry-leading gender-neutral parental leave
  • Paid company holidays and 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

This U.S. role has a base pay range that will vary based on the location of the candidate. Base Salary Range: $128,000—$176,000 USD.

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