Senior Backend Software Engineer

SentinelOne

Confirmed live 2 days ago High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$132,000–$182,000 / yr
Posted
155 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $200k
This role $157k
$119k most similar roles pay here $253k

This role pays less than 83% of similar roles. Most pay $175,875–$225,000 — the shaded band above. At the midpoint, this role pays about $157k versus about $200k for comparable roles.

Based on 240 similar postings.

Employer

About SentinelOne

SentinelOne is a cybersecurity company that provides an AI-powered extended detection and response (XDR) platform. Its Singularity platform delivers autonomous endpoint, cloud, and identity protection for enterprises.

SentinelOne currently has 45 open roles on FindRole.

Listed pay typically runs $156,000–$215,000 across 31 roles with salary data.

Most-posted roles

View all roles at SentinelOne

At a glance

TL;DR · Senior Backend Software Engineer

As a Senior Backend Software Engineer on the ObservoAI team, you will lead the architectural design and technical strategy for high-performance systems processing petabyte-scale telemetry data including logs, metrics, and traces. You will build and optimize ML-driven data routing engines to reduce customer data volumes while developing real-time analytics systems using advanced machine learning and LLMs. Your daily work involves designing cloud-native microservices and APIs that integrate with platforms like Splunk, Elastic, and Datadog. To succeed, you must possess expert proficiency in Go, Rust, or Java, along with experience in Kubernetes, Kafka, Spark, Flink, and Terraform. You will also utilize TensorFlow, PyTorch, Prometheus, Grafana, and OpenTelemetry to solve complex data pipeline optimization problems while providing technical mentorship and leadership across cross-functional teams to establish engineering best practices for the platform.

What you'll do

  • Lead architectural design and technical roadmaps for scalable pipelines processing petabyte-scale telemetry data.
  • Develop and optimize ML-driven data routing engines to significantly reduce customer data volumes.
  • Architect real-time analytics systems using advanced machine learning and Large Language Models (LLMs).
  • Design cloud-native microservices and APIs that integrate with major observability platforms like Splunk and Datadog.
  • Establish robust monitoring, alerting, and observability solutions for high-performance systems.
  • Lead cross-functional technical initiatives to translate strategic vision into engineering standards.
  • Provide technical leadership and mentorship to engineers while establishing best practices for system reliability.

What we're looking for

  • 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 (AWS, GCP, Azure) and container orchestration (Kubernetes).
  • Proven track record leading and scaling data pipelines using Kafka, Spark, or Flink.
  • Deep expertise in SQL and NoSQL database technologies.
  • Advanced experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps practices for production systems.
  • Expert knowledge of observability tools (Prometheus, Grafana, ELK stack, OpenTelemetry, Parquet) and Infrastructure as Code (Terraform).
  • Strong leadership skills including mentoring engineers and planning technical strategy across multiple teams.

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