Senior Software Engineer – Observo AI

October 3

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SentinelOne

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Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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