What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.

If our incredible culture sounds like you, we’d love you to join us.

What will you be doing?

You’ll be joining one of our DevOps teams in our R&D department working on the Quantexa Cloud Platform and accompanying solutions. The platform is comprised of a landscape of lowmaintenance, on-demand, and highly secure environments. Our environments host our software for our customers and partners to use, they also service a variety of internal use cases including underpinning the work of our R&D teams to develop Quantexa Platform software.

You’ll be heavily involved with our cloud-based technical infrastructure, with responsibilities surrounding improving the availability and resilience of our platform, improving its usability and security, ensuring we stay at the forefront of technical innovation, and reducing toil across our estate.

You will also work alongside our software engineering teams to leverage DevOps techniques to support our software release activities and work on unique cloud-based product offerings for our customers to use in their own DevOps processes on their own Cloud estate.

Our tech stack

• A strong focus on Docker/Kubernetes/Istio
• DevOps tooling/automation written with Bash/Python/Groovy/Jenkins/Golang
• Provisioning software/frameworks (Elasticsearch/Spark/Hadoop/PostgreSQL)
• Infrastructure Management - CasC, IasC (Ansible, Terraform, Packer)
• Log and metric aggregation with Fluentd, Prometheus, Grafana, Alertmanager
• Public Cloud, primarily GCP, but also AWS and Azure