causaLens is the pioneer of Causal AI — a giant leap in machine intelligence.
We are on a mission to build truly intelligent machines - it’s hard but super fun! If you want to build the future and are looking for a place that values your curiosity and ambition, causaLens is the right place for you. Everything we do is at the forefront of technological advancements and we are always on the lookout for people to join us whose skills and passion tower above the rest.
Since the company was established in 2017, causaLens has: 🥳Launched decisionOS, the first and only enterprise decision making platform powered by Causal AI - here
🦄Raised $45 million in Series A funding 🏆Named a leading provider of Causal AI solutions by Gartner - here 🚀Included in Otta’s 2022 Rocket List as one of the fastest-growing companies to launch your career
To radically advance human decision-making.
A world in which humans leverage trustworthy AI to solve the greatest challenges in the economy, society and healthcare.
We are looking for a Remote Site Reliability Engineer in EU to join us in building our Causal AI technology to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development
Location The position is remotely based and suitable candidates can reside anywhere in the EU.
What you'll do
The Site Reliability Engineer will work alongside our team of world-class engineers, data scientists, and commercial executives to help us become one of the most recognized names in Tech. You will wear many hats, serving 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 to 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.
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
Candidates would ideally have at least 4 years professional experience
Production Development experience in at least one scripting language - preferably Python
Strong experience with Terraform and Ansible.
Proven experience with CI/CD and DevOps practices
Experience with cloud services and Docker
Familiarity with cloud native ecosystem
Understanding of the full stack is preferable (REST backends and SPA frontends)
Strong Knowledge of the software development lifecycle (code review, version control, tooling, testing, etc.)
EU Homebased-remote working
Nice To Haves
Knowledge and familiarity with Kubernetes
Knowledge and interest in InfoSec and DevSecOps
Interest in Machine Learning and MLOps
Interest in data pipelines and processing, working with big data (>100GB)
Current machine learning approaches have severe limitations when applied to real-world business problems and fail to unlock the true potential of AI for the enterprise. causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true artificial intelligence. Our enterprise platform goes beyond predictions and provides causal insights and suggested actions that directly improve business outcomes for leading businesses in asset management, banking, insurance, logistics, retail, utilities, energy, telecommunications and many others.
We may be biased but we believe you’ll be in good company. We offer a hybrid working set up and are dedicated to building an inclusive culture where diverse people and perspectives are welcomed. Aside from joining a smart and inspiring team, you’ll be amongst people who are always there to support your ideas and encourage you to grow. We celebrate our differences and come together to share our triumphs!
‘Meet causaLens, a Predictive AI For Hedge Funds, Banks, Tech Companies’ – Yahoo Finance
‘The U.K.’s Most Exciting AI Startups Race To Scale’ - Forbes
‘AllianzGI Taps Virtual Data Scientists amid War for Talent’ - Financial Times
‘Machine Learning Companies to watch in Europe’ - Forbes
'causaLens Appoints Hedge Fund Veteran and Data Leaders to Advisory Board’ - Newswire
‘Best Investment in Deeptech’ award - UK Business Angels Association Awards
‘100 Most Disruptive UK Companies’ - Hotwire
What we offer We care about our people’s lives both inside and outside of causaLens. Beyond the core benefits like competitive remuneration, pension scheme, paid holiday and a good work-life balance, we offer the following:
Share Option Scheme
Hybrid working - a combination of remote and from the office as required, along with all the tech you need to get the job done (MacBook Pro etc.)
Work abroad 2 weeks per annum
Cycle to work scheme
Access to mental health support through Spill
Regular team socials
Office snacks and drinks to stay refreshed
Our interview process consists of a few screening interviews and a "Day 0" which is spent with the team (either in the office or virtually, whatever you feel comfortable with). We will always be as transparent as possible so please don’t hesitate to reach out if you have any questions.
We’d love your feedback!
We'll ask you just three quick questions that should take no longer than a couple of minutes to answer.
Your feedback, whether good or bad, is so appreciated and will help us make the right improvements!