Senior Software Engineer

Details

SentinelOne is seeking a Senior Software Engineer to lead the architectural design and technical strategy for high-performance systems that process massive volumes of telemetry data while reducing costs and improving insights for enterprise customers. The role is part of the Observo.ai team, SentinelOne’s AI-driven data pipeline optimization platform.

Responsibilities

• Lead the architectural design and technical roadmap for scalable, high-performance data processing pipelines capable of handling petabyte-scale telemetry data, including logs, metrics, and traces.
• Drive the development and optimization of machine-learning-driven data routing and transformation engines designed to reduce customer data volumes by more than 80%.
• Architect real-time analytics systems using advanced machine learning and large language models.
• Design cloud-native microservices and APIs integrating with observability platforms such as Splunk, Elastic, and Datadog.
• Establish robust monitoring, alerting, and observability solutions.
• Lead cross-functional technical initiatives and decision-making forums in collaboration with Product, Data Science, and DevOps teams.
• Translate strategic vision into technical solutions and company-wide engineering standards.
• Provide technical leadership and mentorship to senior and junior engineers.
• Drive system performance and reliability optimization while establishing engineering best practices and culture.

Requirements

• At least 5 years of software engineering experience focused on distributed systems, data engineering, or ML infrastructure.
• Expert-level proficiency in Go, Rust, or Java.
• Extensive experience with cloud platforms such as AWS, GCP, or Azure.
• Experience with container orchestration using Kubernetes.
• Proven experience leading and scaling data pipelines using Kafka, Spark, or Flink.
• Deep expertise in SQL and NoSQL database technologies.
• Advanced experience with machine learning frameworks such as TensorFlow and PyTorch.
• Experience with MLOps practices for production machine learning systems.
• Expert knowledge of observability tools and standards, including Prometheus, Grafana, the ELK stack, OpenTelemetry, and Parquet.
• Extensive experience with Infrastructure as Code using Terraform.
• Strong leadership and technical communication skills.
• Track record of mentoring engineers, planning technical strategy, and driving decisions across multiple teams and stakeholders.

Benefits

• Restricted Stock Units and Employee Stock Purchase Plan.
• Flexible time off, paid company holidays, paid sick time, gender-neutral parental leave, and grandparent leave.
• Medical, dental, and vision coverage.
• 401(k) retirement plan with company match.
• Life and disability insurance, health and dependent care FSA, and voluntary benefits.
• Employee Assistance Program, prepaid legal services, pet insurance, Cancer Care program, and global business travel medical insurance.
• Home office allowance and mobile phone reimbursement.
• Wellness coach, wellness or gym reimbursement, fertility coverage, and adoption and surrogacy reimbursement.

Compensation

The U.S. base salary range is $132,000–$182,000 USD annually and may vary based on the candidate’s location. A different pay range may apply in some locations.