Software Engineer | Infrastructure

present of AI; New York (NY); In loco; USD 120.000 - 150.000; Tempo pieno

Descrizione del lavoro

Gecko Robotics seeks a Cloud/DevOps lead to own the company cloud end to end, ensuring reliability, security, cost control, and performance. You will build automation so engineers can deploy without deep cloud knowledge, and you will collaborate across teams while documenting procedures for operations.

Ideal candidates have hands-on DevOps, scripting, Terraform, CI/CD, Docker, and solid Linux skills, plus the ability to communicate clearly and work independently in a fast-paced AI-enabled

Competenze

• Hands-on DevOps experience with cloud infrastructure.
• Proficiency in Terraform, CI/CD, and Docker.
• Strong Linux skills and script automation.

Mansioni

• Own the company cloud end to end, focusing on reliability, security, cost, and performance.
• Build automation so other engineers can deploy without deep cloud knowledge.
• Work independently and cross-functionally with other teams.
• Write clear procedures and documentation for operations and deployments.

Conoscenze

Terraform

CI/CD

Docker

Linux

Scripting

Python

Documentation

Independent work

Strumenti

Google Cloud

Serverless

Event-driven

Descrizione del lavoro

This role centers on owning the company cloud end to end, designing for reliability, security, cost and performance while building automation so other engineers can deploy without deep cloud knowledge. A strong candidate brings hands on DevOps work, scripting, Terraform, CI/CD and Docker, plus comfort with Linux and clear written procedures. The job also asks for solid communication and the ability to work alone and across teams.

How it fits the AI era

The platform work here supports an AI data platform that turns robot sensor readings into asset health insights, so the infrastructure must handle steady data flows and keep them dependable. Much of the routine setup and checking can be automated, which shifts the human work toward architecture choices, security and compliance judgment, and cost tradeoffs. The role stays human where decisions carry risk and where other engineers need clear guidance.

How it builds AI experience

Working here gives exposure to running cloud infrastructure behind an AI driven inspection platform, including serverless and event driven patterns on Google Cloud. A candidate can build relevant experience by practicing Terraform, CI/CD and Docker on a cloud provider and by learning how data pipelines are kept reliable. Familiarity with Python and with compliance minded environments would help, since the posting mentions government certifications.

Worth showing

• Terraform and cloud automation
• Docker and Linux fluency
• Scripting for automation
• Clear technical documentation

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Gecko Robotics

Wall-climbing robots and an AI platform that inspect power plants, ships and factories so a person does not have to risk their life finding a structural defect.