Platform Engineer

Ready to make connectivity from space universally accessible, secure and actionable? Then you’ve come to the right place! E-Space is bridging Earth and space to enable hyper-scaled deployments of Internet of Things (IoT) solutions and services. We are building a highly-advanced low Earth orbit (LEO) space system that will fundamentally change the design, economics, manufacturing and service delivery associated with traditional satellite and terrestrial IoT systems. We’re intentional, we’re unapologetically curious and we’re 100% committed to innovate space-based communications and deliver actionable intelligence that will expand global economies, protect space and our planet and enhance our overall quality of life. Role Overview This role is for someone who can design systems that are scaled but also isn’t precious about building temporary things when we need a demo, a pilot, or something to show a room full of stakeholders.

Key Responsibilities

Build and maintain business applications, internal tools, and customer-facing solutions

Assist teams and stakeholders in developing applications using AI-assisted development tools

Review, validate, and improve AI-generated code before deployment

Establish standards and best practices for AI-assisted software development

Create and maintain code review, testing, and deployment processes

Design and implement CI/CD pipelines and deployment automation

Support application deployments across cloud and on-premises environments

Troubleshoot application, infrastructure, and deployment issues

Collaborate with IT, engineering, and business teams to deliver solutions quickly and safely

Document development standards, deployment procedures, and operational processes

Evaluate emerging AI development tools and recommend best practices for adoption

Help establish a scalable framework for application development across the organization

How You’ll Succeed Here

You move quickly without sacrificing quality

You understand that AI-generated code still requires engineering discipline

You're comfortable helping others turn ideas into working applications

You can distinguish between a prototype, a pilot, and a production-ready solution

You establish practical processes that improve consistency and reliability

You help teams deliver more software without creating more technical debt

You balance innovation with operational stability

Why This Role Is Interesting

Opportunity to shape how AI-assisted software development is adopted across the organization

Direct influence on development standards, deployment processes, and engineering practices

Work across application development, DevOps, and technical enablement

Exposure to a wide variety of projects, teams, and technologies

Ability to build solutions while helping others build their own

Significant impact on organizational productivity and software delivery

Opportunity to define the future development framework for the company

Tech Stack

AI-assisted development platforms (Claude Code, ChatGPT)

JFrog Artifactory — artifact management and single-source dependency governance

GitLab / Bitbucket — source control, merge request workflows, and CI/CD pipelines

Experience with observability tooling (Prometheus/Grafana) for monitoring AI service health

Docker and containerized applications

AWS and on-premises infrastructure

Python, JavaScript/TypeScript, and modern web application frameworks

PostgreSQL and relational databases

REST APIs and service integrations

Infrastructure automation and configuration management tools