Inclusion and Diversity at Peak
Our mission at Peak is to help businesses do great things with AI - we are the innovators, the disruptors and the gamechangers.
Diverse and inclusive companies will drive the fourth industrial revolution - and we will lead from the front.
Over the next 5 years, we need more than words to create a stronger company and a fairer society, which is why Peak are committed to not only creating an amazing place to work, but a diverse and inclusive one too.
We want to create awesome teams and leadership, where everyone can bring their authentic selves to work and their ideas to solve the complex problems for the companies and the communities we serve.
Purpose of the role
As Senior DevOps Engineer you will be working with developers and data scientists enabling them to be autonomous and self-sufficient, empowering them to do great things with data by building great infrastructure and automation into the world's first end to end AI platform.
You will be utilising a passion for building great automation and infrastructure with Linux, Docker, AWS and more to build the best AI platform in the world.
At Peak we are on a mission to make AI accessible for all businesses by providing them with the ability to drive value from their data. Just as importantly, we are also focused on building an amazing company - one where we truly value our people & culture, and strive to make an amazing and diverse place to work. Our recent Best Companies award & 3 star accreditation for being one of the top companies to work for is a testament to this.
We have ambitious plans over the coming years; to capture a large part of this new market, expand our operations and create the best working culture possible. This is a great time to join Peak and the Engineering team, as we start the next stage of our global growth.
Skills & Experience
You may see some skills and experience mentioned that you aren’t familiar with yet and that’s ok - If you’re driven, curious and ready to learn new things we’re open to seeing what you’ve got to offer!
We’d love to see someone who can demonstrate:
You’ll be working with a smart and driven team of engineers, with a diverse background of DevOps, data engineering, full stack development, system administration and product support. You’ll also work closely with other teams such as Data Science and Customer Success making sure that customer operations run smoothly.
The Peak Platform
Leveraging serverless and container architecture, the AI System is built for handling data at scale. AIS enables businesses to productionize AI, end-to-end, in a single platform. Insights and intelligence can be accessed via an array of outputs including in-built and custom apps, integrated via APIs and more.
You can read more about the Peak AI System on our website too.
As an AWS Machine Learning and Retail competency partner, that is where we host our infrastructure. Be ready to dive into the inner workings of the platform to debug and resolve issues, we want our engineers to be as autonomous and self-sufficient as they can be, continuously learning and getting practical experience of our favourite technologies.
What we offer
Peak is the pioneer of a new category of enterprise software, Decision Intelligence; the commercial application of AI to optimize business performance. Decision Intelligence allows companies to fulfill their potential, and grow revenues and profits. Peak’s platform is used by leading brands across industries such as retail, CPG, direct-to-consumer, construction and manufacturing. Peak’s customers include Nike, PepsiCo, KFC, PrettyLittleThing, Superdry and CJ Group.
Peak has been named a Gartner ‘Cool Vendor’ for AI in retail, and was also named in The 10 Best Technology Companies to Work for 2021 with the Best Companies 3-star ‘World Class’ accreditation, which recognizes extraordinary levels of employee engagement. Peak is an Amazon Web Services (AWS) Retail Competency Partner and Machine Learning Competency Partner, and is ISO 27001 accredited.
What to see more?
You can check some of our articles on Medium!
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