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Senior Software Engineer - Observo AI

Job in Myrtle Point, Coos County, Oregon, 97458, USA
Listing for: SentinelOne
Full Time position
Listed on 2025-12-15
Job specializations:
  • Software Development
    Software Engineer, AI Engineer, Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Location: Myrtle Point

About Us

At Sentinel One, 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. If you’re excited about solving complex challenges in bold, innovative ways, we’d love to connect with you.

What Are We Looking For?

Sentinel One is seeking a Senior Software Engineer to join the Observo AI team, our cutting-edge AI-driven data pipeline optimization platform. This role will be responsible for designing, developing, and scaling high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. The ideal candidate brings deep expertise in distributed systems, data engineering, and machine learning infrastructure, with a passion for building products that solve real-world data challenges s role is part of the Observo AI engineering organization and will require partial on-site presence at our Mountain View, CA headquarters.

What

Will You Do?
  • 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 Dev Ops 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
What Skills and Knowledge Should You Bring?
  • 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 (Postgre

    SQL, MySQL) and No

    SQL (Mongo

    DB, Cassandra, Redis) systems
  • Hands‑on experience with machine learning frameworks (Tensor Flow, 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 (Open Telemetry, Stats

    D, syslog, JSON, Parquet)
  • Experience with Infrastructure as Code tools (Terraform, Cloud Formation) 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
Why Us?
  • You will be joining a cutting‑edge company, where you will tackle extraordinary challenges and…
Position Requirements
10+ Years work experience
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