DevOps Engineer

Engineering India · Jaipur, Rajasthan
Department Engineering India
Employment Type Full-Time

Purpose of the role


We are creating a new market category for the enterprise AI System - CODI 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.


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.


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!



The Opportunity


Peak is a Decision Intelligence company - we are on a mission to help organisations use AI to make great commercial decisions, all the time. 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 launch and lead a new category of technology (Decision Intelligence), 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.


The Role


Working at the forefront of technology and getting stuck into cutting 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 CODI.
  • 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 & 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


The Team


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 architecture, the CODI 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 Platform Support Engineers to be as autonomous and self-sufficient as they can be, continuously learning and getting practical experience of our favourite technologies.


Personal Skills


We’re on a big mission at Peak ‘to be the global leaders of AI’ and we need teammates with the some particular values-driven qualities to help us make this happen:


  • Open - ability to effectively communicate with all teammates and across different functions within the business. 
  • Straightforward -  outcome focused with a long term vision. 
  • Driven - positive attitude and willingness to be hands on in a fast paced growing company.
  • Curious - keeps up to date with latest tech, launches and product updates. 
  • Smart - ability to provide technical solutions and deliver results by collaborating with cross-functional teams. 
  • Responsible - effectively balance competing priorities and support decisions that best support the team & end users. 


Benefits


  • Opportunity to help scale Peak and make a large impact in a fast-growing company with global ambitions.
  • Competitive compensation package - options, pension, generous holiday entitlement, subsidised gym membership
  • Regular team days and social activities
  • Cycle to work initiative and public transport season ticket loans
  • 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 global market.
  • Learn from some of the best minds in the UK and India 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 CODI system sits at the heart of our client’s businesses, enabling the rapid unification, modelling and - most importantly - use of data - helping decision makers make great commercial decisions, powered by AI. All supported by our world-class data science team.

 


Founded in 2014, Peak has grown rapidly, in line with the world’s fastest growing SaaS companies, winning numerous awards and attracted significant funding to support the company’s ongoing investment in machine learning and AI technologies. All to further our mission to become the world’s leading AI System business.
Headquartered in Manchester, Peak also has offices in London, Edinburgh, Jaipur and Brisbane. Our clients include some of the world's leading 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 and Retail Competency status.

 

What to see more?

You can check some of our articles on Medium!

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  • Location
    Jaipur, Rajasthan
  • Department
    Engineering India
  • Employment Type
    Full-Time