Site Reliability Engineer
Who We Are
Athos Commerce enables ecommerce and digital marketing teams greater control over how their products are found, merchandised, and sold - on-site and across all digital marketing channels. Our tools span AI-powered search, personalized recommendations, smart merchandising, optimised product data syndication, A/B Testing and marketplace/social commerce performance.
We help brands grow with sharper visibility, higher conversion, and less friction. Backed by PSG Equity and supported by a global team across The UK, North America, and APAC, we are building practical, powerful tools for the next era of commerce. Athos Commerce unites shopper intent and product visibility across every touchpoint.
Who You Are
You are a hands-on reliability engineer who has carried a pager and learned from it. You have been the person who worked out what was actually broken at an awkward hour, and you have built the thing that meant it did not happen the same way twice. You are comfortable with distributed, asynchronous systems where failure is rarely obvious and partial success is the normal failure mode.
You are pragmatic about monitoring. You know that the right number of alerts is usually lower than the current number, that a success message is a claim rather than evidence, and that silence only means something if you have made it mean something. You inherit someone else's work and improve it without disparaging it. You take responsibility for what you build: you follow a change into production, check it did what you expected, and say so first when it did not. You move between a query, a pipeline and a pull request in the same week. You are motivated by systems that quietly keep working, and by the discipline it takes to get there.
What You'll Do
As our Site Reliability Engineer, you will be the first dedicated SRE in a newly formed Platform and Site Reliability Engineering function, reporting to its Lead.
We run more than 100 services in production, moving very large volumes of retail data through an asynchronous pipeline: uploads land on a queue, workers transform in batches, scheduled jobs build outbound feeds, and syndication services push to partner APIs that change without warning.
We already have a substantial observability estate — Azure Monitor, Log Analytics, Application Insights, Grafana, OpsGenie paging, external uptime checks and runbooks — built by engineers who had services to ship and did the right thing on the way past.
The Lead owns it and has assessed where it holds up and where it does not; what the function lacks is the hands to act on that. Your work is to make it trustworthy, and to bring your own read of what should change rather than waiting to be told.
The function covers reliability, the engineering platform beneath it, and the automated testing that guards the way into production, so alongside production signal you would be writing test auto...
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