What We Do

Gecko Robotics is helping the world’s most important organizations ensure the availability, reliability, and sustainability of critical infrastructure. Gecko's complete and connected solutions combine wall-climbing robots, industry-leading sensors, and an AI-powered data platform to provide customers with a unique window into the current and future health of their physical assets. This enables real-time decision making to increase the efficiency and safety of operations, promote mission readiness, and protect the environment and civilization from the effects of infrastructure failure.

Role at a Glance

Gecko is building the unified knowledge system industrial facilities have always lacked: a continuously evolving facility context graph that connects every dimension of asset intelligence. At the center of this system is Rolodex, our central data platform and the flexible technical backbone powering the company.

As part of the Software Platform team, your mission is to accelerate how Gecko ships world-class products by advancing our foundational cloud infrastructure. We’re looking for an ambitious engineer to lead the next evolution of Rolodex, expanding its architecture and capabilities to support Gecko’s growing data needs. In this role, you’ll shape the future of a core platform that streamlines infrastructure, reduces operational risk, and enables product and pipeline teams to build and ship faster on top of a robust, scalable context graph.

What you will do

• Drive the Rearchitecture: Lead Rolodex's evolution. Rebuild it for the scale of our context graph, preserving its centralized flexibility while unlocking the full performance of underlying storage technologies (time series, vector, etc.).

• Empower the Graph & Elevate DevEx: Deliver clear ontologies, predictable APIs, and core tooling (SDKs, local dev) that unlock AI agent workflows and eliminate bespoke integrations.

• Secure the Foundation: Own the evolution of our centralized permissioning system, transforming a robust security model into an intuitive, frictionless experience for developers.

• Optimize Data Performance: Design and optimize query abstractions (indexing, SQL/GraphQL) and smart routing for heavy workloads.

• Build Shared Platforms: Establish productized patterns for cross-cutting data needs like schemas, data modeling, chunked uploads, and pipelines.

• Automate Cloud Infrastructure: Share ownership of Gecko's Cloud footprint. Write Terraform, build self-serve tooling, and systematically eliminate engineering toil through automation.

Technologies We Use

• Backend: Python

• Frontend: React, TypeScript

• Cloud Infrastructure: Google Cloud Platform (GCP)

• Infrastructure as Code: Terraform

• Developer Tooling: Agentic coding workflows and AI-assisted development tools

We use a broad and evolving technology stack, and this list is not exhaustive. We’re tech agnostic in our interview process and encourage candidates from all backgrounds to apply.

About You

Required Skills

• 5+ years of hands-on software development experience in a production environment

• Expertise in writing clean, maintainable code, with a focus on backend infrastructure, databases, or developer tooling

• Experience designing secure, user-friendly APIs that enable intuitive data interaction

• Exceptional communication skills and a passion for Developer Experience (DevEx); you care deeply about how other engineers use the systems you build

• Ability to own and execute long-lived technical projects, coordinating across teams and contributing to critical architectural decisions

• Open-mindedness, intellectual curiosity, and strong problem-solving skills

• Excited to dive into new technologies and embrace strong DevOps practices, treating operational resilience and automation as core engineering challenges

• High self-motivation and a passion for self-directed learning

• Bachelor’s degree in Computer Science or a closely related field (or equivalent practical experience)

Preferred Skills

• Real-world experience building, maintaining, or scaling central datastores, knowledge graphs, or shared data platforms

• Experience with Infrastructure as Code (e.g., Terraform) and managing cloud deployments in GCP or AWS

• Familiarity with complex authorization and permissioning systems

• Strong judgment around data modeling, storage formats, access patterns, and developer ergonomics

• Understanding of data pipelines and data processing infrastructure