Site Reliability Engineer I

We are a rapidly growing startup developing solutions that blend human expertise and AI agents to handle manual customer and marketplace operations tasks. Our unique approach combines the strengths of human expertise (high accuracy and nuanced decision-making) with the advantages of AI automation (speed and cost efficiency). This cutting-edge technology helps businesses solve real-world challenges in trust & safety and beyond without complex technical integration. We believe in an online world free from harm, where we can trust AI to make safe and fair decisions.

We have raised about $25M in VC funding from top tier funds including Creandum and Plural, and operate at significant scale - analysing millions of daily images and videos. We are now looking for a Site Reliability Engineer to ensure our systems run smoothly and reliably at scale. Your expertise in monitoring, observability, and system automation will help maintain the high availability and performance our customers depend on. You will work at the intersection of development and operations, using your technical skills to build robust infrastructure and streamline deployment processes.

You will collaborate closely with development teams to implement monitoring solutions, create comprehensive alerting systems, and develop the tools needed to maintain system reliability. Initially, you will focus on enhancing our existing monitoring and alerting infrastructure, then gradually build self-healing systems and self-service capabilities that empower teams to diagnose and resolve issues independently.

• Collaborate with our development teams to ensure our observability stack provides clear visibility into system health and performance.
• Build self-healing systems using AI tools that automatically resolve common issues before they require human intervention.
• Develop automation tools and diagnostic capabilities that help teams quickly identify and resolve issues when manual investigation is required.
• Ensure secure and reliable code deployment processes through robust CI/CD pipelines and infrastructure automation.

We are looking for someone who is excited about building innovative solutions and wants to have a large impact in a smaller company; you should be comfortable balancing your time between fixing urgent issues and investing in proactive system improvements.

• Have worked with visualisation tools such as Grafana for creating and maintaining dashboards that provide meaningful insights into system performance.
• Are proficient with metrics platforms such as Prometheus, InfluxDB, or OpenTelemetry for collecting and analysing system data.
• Are confident in writing production code in languages such as Go or Python.
• Experience working in a fully remote, international team.
• Experience with CI/CD platforms for building reliable deployment pipelines (e.g. Worked with Kubernetes and infrastructure as code tools such as Terraform for scalable system deployment).
• Are familiar with MLOps practices and tools, and monitoring machine learning systems in production.

This role will report to the VP of Engineering and can be based anywhere within a 3-hour time zone of the UK. Unitary is a remote-first team with flexible hours and location.

Competitive salary and equity package, occupational pension, generous paid parental leave, generous paid sick leave, annual budget for your professional development and growth.