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# Software Architect [gn] Data Intelligence

- **Company:** Actian
- **Location:** Hemel Hempstead, UK
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Big Data, Customer Data Management, Fault Tolerance, Monitoring of Systems, Data Intelligence, Cloud Platform System, Kubernetes, Cloud Optimization, Docker, Microservices
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879227867-software-architect-gn-data-intelligence

## About the Role

* Technical Background: Proven experience as a Software Architect or Principal Engineer working with cloud SaaS products and systems handling large volumes of data.
 * Key Tools: Real-world experience with microservices, containers (Docker, Kubernetes), messaging systems
 * Proactive Mindset: You don't wait to be told what to do; you look for where the system might fail or where we are overspending, and you propose solutions.
 * Developer-Focused: You care about your fellow developers working comfortably and without frustrations using the tools you design.
 * Communication: Excellent English skills (written and spoken) to explain complex technical problems simply to both developers and executives.

## Description

The architecture team at Actian works side-by-side with the development team. We are looking for a Software Architect to design the structure of our cloud platform and make it efficient, easy to extend, maintain and operate.

We need a proactive professional who ensures the product meets three key conditions: it must be stable (it doesn't crash when failures happen), efficient (it doesn't skyrocket cloud costs), and easy to use for our own developers. Your goal is to eliminate technical complexity and set the rules of the game so developers can ship new features fast and without errors.

Core Responsibilities:

 * Cloud Platform Design: Design and improve the cloud structure (AWS, Azure, or GCP) of our data platform, ensuring it works well for many clients at the same time.
 * Stability & Fault Tolerance: Build a system ready for failures, capable of recovering automatically and keeping things running if there are issues in production.
 * Making Life Easy for Developers: Create clear APIs, templates, and common tools so internal developers can write code faster and with fewer mistakes.
 * Cloud Cost Control: Monitor and optimize the use of cloud servers and tools (like Kubernetes) to keep the product cost-effective to run.
 * Improving Legacy Code: Identify parts of the system that have become outdated and plan how to improve them step-by-step without stopping daily work.
 * Technical Guidance & Standards: Review team designs and define the company's technical standards, helping to resolve questions without becoming a bottleneck.
 * Security by Design: Ensure the platform's structure inherently protects customer data and complies with security rules from the very beginning.
 * System Monitoring: Decide how we measure platform performance so that if something fails, we know exactly what happened within a few minutes.
 * Testing New Technologies: Build quick prototypes and test new tools before deciding whether to adopt them company-wide.


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