SentinelOne

Senior Software Engineer – Observo AI

SentinelOne

full-time

Posted on:

Location Type: Remote

Location: Remote • California • 🇺🇸 United States

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Salary

💰 $128,000 - $176,000 per year

Job Level

Senior

Tech Stack

ApacheAWSAzureCassandraCloudDistributed SystemsDockerGoGoogle Cloud PlatformGrafanaJavaKafkaKubernetesMicroservicesMongoDBMySQLNoSQLPostgresPrometheusPyTorchRedisRustScikit-LearnSparkSplunkSQLTensorflowTerraform

About the role

  • 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
  • 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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
GoRustJavaApache KafkaApache SparkApache FlinkPostgreSQLMySQLMongoDBTensorFlow
Soft skills
analytical skillsproblem-solving skillscommunication skillsmentoringcollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering