Senior Engineer in DevOps

causa Lens are the pioneers of Causal AI — a giant leap in machine intelligence.

We build Causal AI-powered products that are trusted by leading organizations across a wide range of industries. Our No-Code Causal AI Platform empowers all types of users to make superior decisions through an intuitive user interface. We are creating a world in which humans can trust machines with the greatest challenges in the economy, society, and healthcare.

Summary 

We are looking for a Senior Engineer in DevOps based in London to join our Core Infrastructure team in building a platform to optimize every business on the planet. This is a full-time placement with significant opportunities for personal development and growth.

Roles and Responsibilities

As an Engineer first focusing on DevOps and automation, you’ll be responsible for implementing key parts of core infrastructure as code and ensuring the availability, performance, and security of new and existing infrastructure. You'd report into the VP of Engineering, and define our approach to complex problems in getting our solutions in front of our customers, how our engineering function delivers value, and how we run our infrastructure. A successful candidate will be the one that helps the team work smart, fast and clean, eliminating toil, automating where sensible, and making good tech choices.

The Core Infrastructure team is made up of Engineers who are heavily collaborative, focusing on supporting the business needs of stakeholders throughout our company and our customers. Working closely with, enabling and empowering our platform engineering, Machine Learning and Applied Data Science teams. This role is an opportunity either for engineers that have found themselves keenly interested in CNCF and being able to solve infrastructure problems as software engineers, or for DevOps that want to evolve their career into SRE and multi-cloud deployments.

Some of your responsibilities will include:

• Automating cloud agnostic infrastructure, reducing toil

• Enhancing observability and visibility of our infrastructure, systems and processes 

• Enhancing the change pipeline, improving change velocity

• Empowering teams to self-fulfil, shifting responsibility left