Atolio Inc.

The Secure Enterprise Knowledge Engine

Atolio is solving one of the hardest problems in tech: making enterprise knowledge instantly accessible across all apps, services, and platforms without compromising security. Founded in 2019 by experienced leaders from Splunk and PagerDuty, the company has developed an AI-powered enterprise search engine that keeps data entirely within the customer's cloud. With a recent $24M Series A led by Translink Capital and backed by IBM Ventures and Bloomberg Beta, Atolio is scaling rapidly. They have already secured multiple seven-figure contracts by providing a secure alternative to SaaS-based search tools, ensuring that sensitive corporate IP never leaves the client's perimeter.

A Culture of Autonomy and Innovation

Atolio operates as a fully remote, well-funded startup that values autonomy, ownership, and transparency. The engineering culture is built around solving complex infrastructure and systems challenges in fast-paced, ambiguous environments. Leadership is highly transparent, empowering engineers to make key technical and operational decisions. The team thrives on collaboration, robust tooling, and a mission-driven approach to building technology that has a real-world impact on how enterprises manage their internal knowledge.

What You'll Actually Do

Engineers at Atolio work on the cutting edge of machine learning and AI, tackling complex challenges in indexing, retrieval, and scaling across multi-cloud infrastructure (AWS, GCP, Azure). A Senior Backend Engineer, for example, will design and build highly scalable, cloud-native backend services using Golang in a modern microservices architecture. You will deploy and operate services in Kubernetes, integrate with enterprise systems like Okta, and lead projects from zero to one. The work involves deep computer science fundamentals, focusing on reliability, observability, and performance across the stack.

Compensation & Benefits

Atolio offers competitive salaries and early-stage equity, reflecting their well-funded status. While specific salary bands are not publicly disclosed, the compensation package is designed to attract top-tier engineering talent. Benefits include comprehensive health, dental, and vision coverage, a flexible PTO policy, and a home office stipend to support their 100% remote work environment. The remote-friendly culture allows team members based in the US or Canada to work in a way that best fits their lives.

The Interview Process

While detailed interview steps are not publicly documented, candidates can expect a rigorous process focused on core computer science principles, distributed systems, and cloud-native architectures. Given the technical depth required, interviews likely involve deep dives into algorithms, data structures, concurrent programming, and system design, particularly involving Golang and Kubernetes. The process will also assess a candidate's ability to navigate ambiguity and communicate effectively in a remote setting.

Why Join / Why Not

Why Join: Atolio offers the rare opportunity to build foundational enterprise AI technology from the ground up, backed by strong funding and experienced founders. If you want high autonomy, the chance to lead architecture decisions, and the flexibility of a 100% remote environment, this is an ideal place to make a significant impact.

Why Not: As an early-stage startup, Atolio operates in a fast-paced environment with minimal documentation and established processes. If you prefer highly structured roles, predictable day-to-day routines, or require an in-office environment, this might not be the right fit. The work demands comfort with ambiguity and a proactive approach to problem-solving.