AWS Cloud Engineer, ComfyUI experience

Revolgy
2 days ago

Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

API
Artificial Intelligence
Amazon Web Services (AWS)
Continuous Integration
Middleware
Identity and Access Management
JSON
Open Source Technology
Role-Based Access Control
Software Engineering
WebSocket
Google Cloud Platform
State Machines
AWS Lambda
Amazon Web Services (AWS)
Servicebus
Gsuite
Cloudwatch
Amazon Web Services (AWS)
Terraform
Serverless Computing
Google Meet

Job description

Contract Type ️ This position is open for candidates interested in Business-to-Business (B2B) contract position in countries in Europe. Please note this is a contract role for approximately 3-6 months.

What Will You Do?

  • Build the AWS Platform Foundation: You will design and automate production-ready infrastructure, including secure networking (VPC, private connectivity), Identity (RBAC/IAM), and storage lifecycles.
  • Architect Elastic GPU Compute: You will implement the execution environment-likely EKS with GPU nodes-handling autoscaling, NVIDIA drivers, and safe scheduling defaults.
  • Develop Serverless Middleware: You will build the "glue" that makes ComfyUI run like a managed service. This includes using AWS Lambda, SQS, Step Functions, and EventBridge to handle job ingestion, decoupled orchestration, and retries.
  • Create the ComfyUI Adapter: You will write the logic that acts as the translator between app inputs and the ComfyUI API, managing execution lifecycles, capturing logs, and handling output manifests.
  • Implement Real-Time Feedback: You will build the status and progress streaming architecture (WebSocket/SSE) to ensure users have visibility into their generation jobs.
  • Enforce Production Rigor: You will implement infrastructure-level guardrails (concurrency limits, cost tagging) and deliver fully automated CI/CD pipelines using IaC (CDK preferred)., * Commitment to Growth: We invest in your professional development through our "Continuous Learning" mindset, supporting both hands-on experience and certifications from our partners AWS and Google Cloud.
  • Innovation in Action: AI and automation aren't just buzzwords here. They are essential tools we expect everyone to use to amplify their impact.
  • Autonomy & Accountability: Enjoy the flexibility and trust to influence your work, with full accountability for delivering results.

Our Hiring Process

We want our candidate experience to be as transparent and engaging as possible. As a remote-first company, we value efficiency and cultural fit. Here is what you can expect:

  • Step 1: Async Introduction - You'll start with an asynchronous application form and a short video introduction. This allows us to get a glimpse of your personality and experience in a way that fits your schedule.
  • Step 2: People Success Screening (60 min) - A video call via Google Meet to discuss your motivation. This stage includes short, interactive puzzles (via Google Slides) to help us understand your problem-solving approach and soft skills.
  • Step 3: Meet the Team (60 min) - You'll meet your potential manager and future teammates. This round includes role-specific exercises simulating real-life scenarios, giving you a hands-on feel for the work you'll be doing.
  • Step 4: Alignment & Offer - We wrap up by ensuring our expectations, career paths, and values are perfectly aligned before welcoming you to the team.

Equal Opportunity Employer Diversity and equal opportunity are important to us. We are happy about the interest of all candidates and strive to provide feedback as quickly as possible.

Requirements

Do you have experience in Terraform?, * Deep AWS Expertise: You have mastered both Serverless (Lambda, Step Functions, EventBridge) and Container platforms (EKS operations, autoscaling).

  • ComfyUI & GenAI Fluency: You have demonstrated experience with ComfyUI (API, workflow JSON structure, custom nodes) or strong public evidence of extending open-source GenAI codebases. You understand the runtime behavior of generative models.
  • Strong Software Engineering: You are not just a config manager; you write clean, testable code for middleware and automation.
  • Production Mindset: You prioritize security (tenant scoping, secrets management), observability (CloudWatch/X-Ray), and cost-awareness in every architectural decision.
  • Delivery Automation: You are proficient in Infrastructure as Code (CDK or Terraform) and building CI/CD for both infrastructure and container publishing.

About the company

About Revolgy ️ Revolgy is a leading multinational company providing digital transformation services through online collaboration tools and cloud infrastructure operating on Google Cloud Platform and Amazon Web Services. We are a premier partner of Google and Amazon. We serve over 2000 customers around the globe.

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