Senior / Staff Software Engineer (Golang)
About the role
At SeeChange, we leverage AI to create transformative solutions that deliver positive impact on both retailers and customers, enabling a more secure, seamless, and efficient shopping experience. From loss prevention and product recognition to hazard detection and operational insights, we deliver scalable AI solutions for global brands. Backed by leading investors and development hubs in the UK and Serbia, we are scaling rapidly and investing heavily in our next-generation visual AI. As part of that growth, we are extending our Core SeeWare Platform team and seeking an experienced Software Engineer to join us at our Manchester (UK) or Belgrade (Serbia) office.
About the role
SeeWare is a modular, containerised AI platform that serves as the backbone for every SeeChange solution. By converting raw camera and sensor data into actionable insights and alerts, it provides the foundation for our technology. As a Senior or Staff Software Engineer, you will maintain and evolve this essential infrastructure, placing you at the heart of everything we build.
For this role we are looking for an independent and adaptable professional with a strong software engineering background in Golang and excellent communication skills, who will:
Provide the tools to build, deploy, and maintain AI solutions using the SeeWare Platform. You will work with a heterogeneous, distributed hardware environment running dynamically configured software to process structured data and address real-world AI challenges.
Create, deploy, and maintain containerised applications to provide and monitor the end-to-end data flow of our AI solutions.
Support the scaling of the SeeWare Platform across thousands of stores while adhering to our robust requirements for stability, auditability and control.
Collaborate with the QA team to ensure your changes are proven before releasing to production.
To be successful in this role, we’ll be expecting you to:
Have extensive experience and a deep understanding of Golang as your main day-to-day programming language.
Demonstrate a good understanding of containerisation, including the creation of Docker images and managing their lifecycle.
Be confident in using Linux/Unix operating systems with a focus on edge devices and virtual machines in the cloud.
Have an automation-first mindset, embracing DevOps CI/CD Pipelines and Infrastructure-as-Code as the default way to deploy your code.
Possess strong analytical and creative problem-solving abilities.
Communicate system design and architecture to non-experts and members of other teams concisely while recommending the best approach to solve a given problem.
Work from the office at least one day per week.
You will stand out if you have some experience with the following (or related) technologies and a desire to master them as you go:
Integrating code with multiple cloud providers (i.e. AWS, Azure, GCP)
Ansible for Infrastructure-as-Code for our deployments
Python to understand the AI Solution team's code
Why join SeeChange
Working on AI/ML solutions for major brands, you will be part of a team with a global industry impact.
We offer a competitive reimbursement package while respecting work-life balance.
You will work with leading experts in the field, as part of a vibrant, multicultural team.
Your ideas will be heard, and successful initiatives will be rewarded.
This role is open to candidates with a legal right to work in the UK or Serbia.
If you want to make a difference by delivering AI solutions to the real world and work at the cutting edge of software development, we will be happy to learn more about you by having you apply and share your work experience with our hiring team.

SeeChange
Ready to apply?
Apply nowAbout SeeChange
SeeChange builds visual AI for retailers, turning camera and sensor data into alerts for loss prevention, product recognition and hazard detection on its containerised SeeWare platform. It has development hubs in Manchester and Belgrade.
More about SeeChange →- Industry
- Enterprise AI
- Company size
- 11-50 employees
Stack
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