Senior Staff Software Engineer - Observo AI

SentinelOne is redefining cybersecurity by leveraging AI-powered, data-driven innovation. They are seeking a Senior Staff Software Engineer to lead the architectural design and technical strategy for their AI-driven data pipeline optimization platform, Observo.ai.

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