SentinelOneRemote
Senior Backend Software Engineer, ObservoAI
United States of America
Full Time
6 days ago
$132,000 - $182,000 USD
No H1B
Key skills
JavaGoRustSQLNoSQLAIMachine LearningMLPyTorchTensorFlowMLOpsData EngineeringAnalyticsSparkKafkaAWSAzureGCPTerraformKubernetesPrometheusGrafanaDatadogELK StackSplunkOpenTelemetryLeadershipMentoringCommunication
About this role
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. They are seeking a Senior Backend Software Engineer to lead the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while driving technical excellence and complex engineering initiatives.
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 and transformation engines to reduce customer data volumes by 80%+ while architecting real-time analytics systems using advanced machine learning and LLMs
- Design cloud-native microservices and APIs that integrate seamlessly with major observability platforms (Splunk, Elastic, Datadog) while establishing robust monitoring, alerting, and observability solutions
- Lead cross-functional technical initiatives and decision-making forums, collaborating with Product, Data Science, and DevOps teams to translate strategic vision into technical solutions and company-wide standards
- Provide technical leadership and mentorship to senior and junior engineers, driving system performance and reliability optimization while establishing engineering best practices and culture
Requirements:
- 5+ years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure with expert-level proficiency in Go, Rust, or Java
- Extensive experience with cloud platforms (AWS, GCP, Azure), container orchestration (Kubernetes), and a proven track record leading and scaling data pipelines using Kafka, Spark, or Flink
- Deep expertise in database technologies (SQL and NoSQL) and advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production ML systems
- Expert knowledge of observability tools and standards, including Prometheus, Grafana, ELK stack, OpenTelemetry, and Parquet, alongside extensive experience with Infrastructure as Code (Terraform)
- Strong leadership and technical communication skills, with a track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders