Adarga

Staff Platform Engineer

London, UK Remote Hybrid
Kubernetes Terraform Bash Go Oracle Cloud Machine Learning Microservices Python Azure AWS
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Description

Job description

About Adarga 

Adarga is one of the most exciting Artificial Intelligence (AI) companies in the world at the cutting-edge of the AI revolution. We are a UK-based AI leader specialising in information intelligence. Our technology addresses the integral need for defence, national security, and commercial organisations to interpret fast-proliferating, worldwide information sources at breakneck speed. In today’s increasingly complex geopolitical environment this is a vital capability if they are to understand emerging threats, mitigate risk and remain competitive. 

Adarga's platform, powered by natural language processing and network science technology, is currently supporting mission-critical decision-making across defence and national security in the UK, as well as expanding into new sectors. 

What will you be doing?

Adarga is a rapidly scaling up organisation and we are growing our platform team. The role is to work amongst our Platform Engineering team to design, implement and maintain the infrastructure underlying our product. You will need to understand modern DevOps practices used to maintain a containerized microservices architecture spanning the globe. Furthermore, as a data analytics company we want to enhance our analytics capability of data generated by our IT environment. You’ll be expected to help design, implement and rollout this capability together with the data scientists and the rest of the team. 


Responsibilities Include:

  • Design end to end solutions to support engineering and data science requirements 
  • Work with our Architect and Principal Engineers in validating system designs 
  • Maintaining and improving our current AWS Organisation and account structure 
  • Maintain and contribute to our Infrastructure as Code codebase 
  • Support our MLOps team with the deployment of ML tools 
  • Automation of infrastructure delivery pipelines 
  • Optimising infrastructure using data derived from our observability stack 
  • Ensuring current infrastructure is fault tolerant and testing disaster recover scenarios 
  • Provide technical leadership and guidance to junior engineers. 

  


Job requirements

Essential Requirements

  • Good Kubernetes knowledge preferably EKS at production level 
  • Advanced AWS knowledge and experience (Organisations, IAM, EKS, RDS, OpenSearch, S3, MSK) 
  • Proven ability to design and plan significant infrastructure changes 
  • Leadership and coaching experience in the delivery of DevOps work 
  • Experience implementing and testing data backup and restore solutions (RDS, OpenSearch) 
  • Advanced Infrastructure as Code (Terraform) 
  • DevSecOps - integrating strong security practices into DevOps culture 
  • Scripting (Bash/Python/ Golang) 

   

Desirable Requirements  

  • Line Management experience 
  • Azure / Google / Oracle Cloud experience 
  • Service mesh implementation experience  
  • AI/Machine learning Platform experience 


Further information  

At Adarga we use Kanban principles and daily stand-ups to track work tasks. 

You will take part in cross functional and cross team communication to enhance collaboration. These will take the form of knowledge shares, reading groups, chapter group meetings, workshops and innovation projects.  

This is a fantastic opportunity for a candidate with the right experience to apply their knowledge in an exciting technology-led company. 

Interview process 

  • Getting to know you: 

In the first call, let our recruiter learn about you and your story to check a potential fit for Adarga. This is also a chance for you to ask first questions about the role and company. 

  • Team Interview: 

In this meeting, you will meet with your potential team members who will take a deeper dive into the technical aspects of the Platform Engineer role here at Adarga, where you can expect some high-level technical questions, competency-based questions and another chance to ask any questions you have. 

  • Technical Interview: 

In this meeting, you will work with your potential team members on technical questions and challenges. The DevOps tasks will form an extremely collaborative session. 

  • Final Interview: 

You made it to the very last stage! Here we will look to gain a better understanding of your experience to date, a chance to walk through your experience, the role you played at the company, different projects that were worked on and the impact you had and give you an opportunity to see the wider team during an informal talk. 

  

Contact

Find out more about Adarga: https://adarga.ai/careers 

  

Diversity & Inclusion at Adarga 

Adarga recruits, trains, promotes & employs regardless of race, background, gender, colour, religion, disability, age, gender identity or any other protected status. In addition to this, we actively promote and encourage diversity of thought through multiple avenues. Adarga is dedicated to building and maintaining an inclusive environment where people feel valued, appreciated, and free to be themselves without prejudice. 

  

Recruitment company statement  

We approach everything with transparency and integrity. To avoid wasting anyone’s time, here is our policy on working with recruitment companies:  

At present, we are not working with any new recruitment agencies, because we only want to work directly with individual applicants who can contact our People Team through careers@adarga.ai   
Recruitment Privacy Policy


Details

Hybrid
  • London / Hybrid, England, United Kingdom

or

Adarga
Adarga
Analytics Artificial Intelligence (AI) Business Intelligence Machine Learning Natural Language Processing SaaS Software Text Analytics

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