DevOps Engineer

Engineering UK · Manchester, Manchester
Department Engineering UK
Employment Type Full-Time
Minimum Experience Mid-level

The Opportunity

Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies. We’ve won numerous awards and attracted significant funding to support the company’s mission of building the most important enterprise SaaS business of the intelligence era.

If you are a person who loves tech, are proficient in building and supporting infrastructure for SaaS products in the cloud (i.e. Amazon Web Services (AWS), Google Cloud Platform (GCP), Azure etc.) there is no better place for you to be, than at Peak.

We are creating a new market category for the enterprise AI System pushing to become the global market leader. As a DevOps Engineer at this fast growth scale up you'll be responsible for the architecture, infrastructure, automation, and security at Peak.

Our Infrastructure is scripted (Cloud Formation, Terraform etc.) serverless (Serverless framework, Lambda, API Gateway etc.), and as a Certified ML Competency partner, and Advanced Consulting Partner with AWS we build our platform on their cloud. Some more of the core services, tools and languages you'll get to work with include -

  • Amazon SageMaker
  • Amazon Redshift
  • Data Lake (built on Amazon S3)
  • Containerisation with Docker - orchestrated with Amazon Elastic Container Service (ECS) and Elastic Kubernetes Service (EKS)
  • Python / NodeJS / Bash / Golang / R etc.

The Role

Working at the forefront of technology and getting stuck into bleeding edge services (we often get early access to AWS beta release previews) means that most people are unlikely to tick all the boxes from day one. As long as you have a good background and some experience of the tools and services mentioned,  and most importantly a drive and determination to learn new things quickly you’ll be ready to dive right in.

At Peak. It is all about ensuring that AI is available for all, by making the workflows of Data Scientists, Data Engineers, and AI engineers easy! You’d get involved in things like:

  • Helping Product teams automate the infrastructure to support an end to end AI platform used to ingest data, explore and visualise data before simplifying deployment of Machine Learning models into production.
  • Support the Integration engineers performing data Loads using the Peak AI System.
  • Building infrastructure to support bespoke data pipelines using EMR and Apache Spark.
  • Maintaining and securing multiple AWS Accounts.
  • Hands on  working with from 50+ AWS services.
  • Access control, tagging and cost optimisation.
  • Helping Data Science Teams to make sure they have the best infrastructure available to do their work.

If you love tech, can help build fresh and exciting cloud-based solutions, enjoy autonomy, enjoy working without constraints and love to solve complex problems then  this is a great opportunity for you.  

Skills and Experience

  • We’re looking for someone with previous experience as a Devops engineer or System Administrator, Site Reliability Engineer (SRE), Platform engineer or in a role demonstrating suitable similar skills  
  • Hands on experience or practice with AWS, shell scripting/UNIX, Cloudformation and Python
  • Direct experience with Amazon Web Services (AWS) products such as Kinesis, Lambda, Code Pipeline, DynamoDB, Elasticsearch, RDS, Elasticbeanstalk
  • Experience with Docker and container orchestration tools like ECS, Kubernetes or Mesos
  • Experience in building and managing Continuous Integration and Continuous Delivery Pipelines
  • Excellent communication skills and real team player
  • A good foundation in programming and application design
  • Good in solving complex problems and ability to learn new things quickly
  • You must be somebody who keeps up to date with the latest technology and software engineering practices.

Any experience of the below would be advantageous:

  • Previous experience in big data tools such as Apache Spark/Hadoop, Kafka,  data processing and analytics
  • Experience with Serverless concepts
  • Application and Network Security


  • Support to study AWS and industry qualifications
  • Opportunity to help scale Peak and make a large impact in a fast-growing company with global ambitions
  • Competitive compensation package, options, pension and generous holiday entitlement
  • A fantastic working environment with open communication channels, flat hierarchy and a truly collaborative style
  • Peak has a strong culture that we live by, based on shared values: we are open, straightforward, smart, responsible, curious and driven
  • Opportunity to influence Peak’s early success in entering the US market in 2019
  • Learn from some of the best minds in the UK across multiple disciplines

About Peak

In an age when becoming AI and data-driven is one of the most important things businesses must do, it can also be one of the most challenging. That’s where Peak comes in; our AI System sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data. All supported by our world-class data science team.

Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include established FTSE 250 retailers, manufacturers and well-known brands alongside highly innovative and tech-savvy businesses.

Peak is an Amazon Web Services (AWS) Partner, and holds Machine Learning Competency status.

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  • Location
    Manchester, Manchester
  • Department
    Engineering UK
  • Employment Type
  • Minimum Experience