SENIOR CLOUD ENGINEER
Quick Summary
About the job Some of the challenges are to design, scale, and secure the cloud-based infrastructure for our SaaS ID platform. You will take ownership of building the cloud and on-premise infrastructure, working closely with the product and research teams to architect and implement a…
The ideal person for this role: Bachelor or Master’s degree, preferably in Computer Science, or equivalent experience. 3+ years working with public cloud platforms; preferably Google Cloud.
About the Role
~1 min read
Some of the challenges are to design, scale, and secure the cloud-based infrastructure for our SaaS ID platform.
You will take ownership of building the cloud and on-premise infrastructure, working closely with the product and research teams to architect and implement a highly-scalable platform.
This is a key role helping our product team as a cloud expert with a strategic mind and high product orientation, and first line of developing cost-effective scalable cloud infrastructure.
This role would require you to do the following on a daily basis:
Architect cloud foundational components encompassing network, security, identity, operations, and governance in the Google Cloud.
Build multi-tenant SaaS systems leveraging Kubernetes.
Work collaboratively with product and engineering in developing scalable API solutions.
Develop and document cloud best practices, guidelines, and guardrails for cloud technologies.
Operationalize solutions from proof-of-concept through production, using automation for repeatability, maintainability, and to enforce standards.
Scripting of deployments and infrastructure components.
Monitoring of and accountability for all aspects of Google Cloud production environment.
Cost and spend optimization of Google Cloud environment.
What We Offer
~1 min readNice to Have
~1 min read
ALiCE is a biometric identity verification solution that allows the online onboarding of new clients, reducing identity fraud and maximizing conversion rate. ALiCE offers a frictionless user’s identity verification in a two-step process: user takes a selfie and captures his ID card, ALiCE does the rest.
ALiCE Biometrics, as a spin-off from the R&D Technology Center Gradiant, was born with the mission of developing the best-in-class onboarding identity verification solution that uses Deep-Learning based Face Recognition and Passive Liveness Detection technology.
We use a lot of exciting technology. This is our technology stack:
Python for our service back-end code.
React, Swift, Kotlin and Javascript (based on Vue.js framework) for front-end work.
RabbitMQ and ELK stack for events queue management, observability and visual representation.
Domain Driven Design as main principle to domain modeling and keep focus on the product.
Test Driven Development to encourage the Outside-In design and improve the quality of our code.
Github for repositories management.
Github Actions for Continuous Integration and Continuous Deployment.
Notion for project management and documentation.
Kubernetes, Docker and Helm to orchestrate our services.
Google AI Cloud and Kong for underlying infrastructure.
Know more about our culture and challenge, please visit our web: https://alicebiometrics.com/jobs
Location & Eligibility
Listing Details
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 59%
- Scored at
- May 6, 2026
Signal breakdown
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