Staff Backend Software Engineer, On-prem

SentinelOne

8d•$156,000 - $215,000•Onsite

About The Position

As a Staff Backend Engineer on the Self-Hosted team, you will be tasked with building and maintaining the backend services that power SentinelOne's on-premises deployments. You will work across a Python-based microservices platform, ensuring that enterprise customers can deploy, operate, and upgrade SentinelOne in air-gapped and restricted environments. Your work directly determines the reliability of security infrastructure for some of the largest organizations in the world.

Requirements

8+ years of backend engineering experience with Python in a production microservices environment, including deep familiarity with Flask, SQLAlchemy, and async concurrency patterns (gevent or asyncio).
Hands-on experience packaging and deploying containerized services with Docker and Kubernetes, including writing Helm charts and reasoning about upgrade paths across multiple deployed versions.
Strong PostgreSQL skills including schema design, query optimization, and writing zero-downtime migration scripts using Alembic or equivalent tools.
Experience building and maintaining gRPC and REST APIs with explicit versioning strategies, preferably in environments where breaking changes are costly.
Solid understanding of observability: structured logging, distributed tracing with OpenTelemetry or equivalent, and building dashboards in Grafana or similar tools.

Responsibilities

Design and develop backend services in Python (Flask, SQLAlchemy, gevent) that run in customer-managed environments, with a strong focus on operational correctness and upgrade safety.
Own the deployment lifecycle: build and maintain Docker images, and ensure services start correctly across a wide range of customer infrastructure configurations.
Build and evolve REST and gRPC APIs consumed by both internal services and external management consoles, maintaining strict backwards-compatibility contracts as the platform scales.
Work closely with the database layer (PostgreSQL and MongoDB) to write Alembic migrations that run safely in production, handle schema evolution without downtime, and keep query performance healthy under load.
Drive observability improvements by instrumenting services with OpenTelemetry, defining SLOs, and making sure operators can diagnose issues in environments where SentinelOne has limited visibility.