Senior Platform Engineer

V7 is an AI data platform to automate any visual task, voted by Forbes as one of the top 25 machine learning startups of 2021. We have raised over $40 million in venture funding and are backed by some of the most competent individuals in AI. We manage the training data and models of hundreds of AI companies and enterprises. What sets us apart is our team's obsession with pushing our product to where AI will be three years from today.

About the team:

The mission of the Platform team is to provide secure, reliable infrastructure to enable high quality, performant services. You will help us maximise uninterrupted service for the exponentially growing number of customers.

We look after petabytes of data in S3 that we use to train computer vision models. Our industry is new and so in the Platform team we are continually looking for ways that SRE and DevOps practices can help the company and our customers with the challenges of building businesses around machine learning and computer vision.

Technologies we use:

• AWS, (S3, EC2, ECS, Cloudfront, RDS)

• Terraform, Github

• Linux (various)

• Python, Bash, JS

You’ll be working on:

• Building a robust, secure self hosted observability stack

  • Kubernetes (AWS EKS)

  • Prometheus

  • Grafana

  • Open Telemetry

  • Jaeger

• Improving developer experience and accelerating time to ship

  • GitHub

• Deploying and curating fleet of GitHub action runners

  • Integrating end to end tests (Cypress) in CI and CD pipelines

  • Implementing LocalStack for pre merge testing

• Implementing and maintaining strong cyber security patterns

  • Improving security through best practices and educating colleagues

  • Supporting our highly regulated customers in the healthcare industries

  • Building cross cloud solutions

  • Work with customer facing teams to help validate use cases on AWS, Azure, GCP

Requirements:

• 4+ years of overall experience and 2+ years in a DevOps/SRE role

• Knowledge of Linux operating systems and computer networking

• Experience writing code in a programming language such as C++, Java, Elixir, Python, Go, etc.

• Experience administering cloud-based infrastructure (e.g. AWS) using Terraform

• Ability to troubleshoot production issues related to computer infrastructure, configuration, monitoring, deployments, continuous integration and delivery

Nice to have:

• Interest in machine learning and computer vision

• Hands on experience building Kubernetes clusters

• Implementing federated authentication system, SSO, OIDC, SAML

• Building streamlined CI/CD pipelines

• Relational Database management or administration

Benefits:

• Unlimited vacation, just tell us when you need time off

• Stock options

• Work from anywhere

• Company retreats in stunning locations

• Paid tickets, accommodation, and travel to relevant conferences, nationally or internationally (NeurIPS, ICCV, CVPR, ...) to expand your network & knowledge during normal times

Compensation Range: £100K - £120K