Principal DevOps Engineer, Kubernetes Infrastructure at TradingView
London SE1 9SG, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

13 Mar, 25

Salary

0.0

Posted On

08 Feb, 25

Experience

2 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Python, Capacity Planning, Trading, Distributed Systems, It, Typescript, Django, Kubernetes, Devops, Policy Management, Logging

Industry

Information Technology/IT

Description

ABOUT US!

Our open source charts and commercial libraries are used by tens of thousands of financial sites across the planet, including whales like: CME, Refinitiv, Investopedia, Crunchbase, Binance, Bitcoin.com and many many others. We’re also one of the world’s biggest websites (#61 to be exact, according to Alexa Rankings), visited by 100s of millions of people every year. So if you’re interested in finance, chances are you’ll have already seen us around the place.
Our mission is to help millions of people succeed in life, whatever that means for them, by providing the highest quality information in the smartest way so they can make the best-informed decisions possible. To do this, we’re looking for individuals to join a team where product quality means everything, where you’ll be given the opportunity to develop your best work, and where the fruits of your labor will be seen by millions of people each and every day.

JOIN OUR UK TEAM

We’ve got people all over the world, but London is where our executives are based. So, if you’re looking for a start-up, get stuck-in vibe, but with all the resources and firepower of a major scale-up, then look no further. It’s an exciting time to be part of the founding UK team as we continue our growth here.

YOUR MISSION:

We are seeking an experienced Principal DevOps Engineer to lead our Kubernetes initiatives. Kubernetes Infrastructure team is responsible for building and maintaining Kubernetes clusters across on-premises and AWS EKS environments. As Principal Engineer, you’ll drive initiatives around scalability, developer experience, security, and observability, working closely with cross-functional teams to ensure a robust, high-performance Kubernetes environment that supports our business needs.

MINIMUM QUALIFICATIONS:

  • 7+ years in DevOps or infrastructure engineering, with 2+ years of deep focus on Kubernetes.
  • Proven expertise in administration of Kubernetes environments with a large number of clusters, including autoscaling and network management.
  • Extensive experience with Istio service mesh.
  • Proficiency in observability tools for end-to-end monitoring, logging, and tracing in Kubernetes environments.
  • Hands-on experience with Helm charts and ArgoCD for streamlined, GitOps-based CI/CD processes.
  • Solid understanding of networking and network policies within Kubernetes clusters.

PREFERRED QUALIFICATIONS:

  • Experience with Terraform for automated cluster provisioning and management.
  • Proficiency in a programming language like Golang for building custom Kubernetes solutions.
  • Strong grasp of distributed systems and managing large-scale microservices architectures.
  • Experience in cost and capacity planning within Kubernetes infrastructure.
  • Knowledge of Kubernetes security, including access controls and policy management.

It’ll also be an advantage if you have experience in:

  • Finance experience or knowledge of Trading
  • Knowledge of TradingView
Responsibilities
  • Architect and optimise Kubernetes infrastructure for high availability and scalability.
  • Design and implement autoscaling solutions to manage varying workload demands effectively.
  • Configure and manage Istio service mesh for secure, efficient inter-service communication.
  • Develop and enforce networking policies to enhance security and operational performance.
  • Drive observability, logging, and tracing initiatives to maintain full visibility of cluster and application health.
  • Implement and maintain Helm charts and ArgoCD for automated application deployment and configuration management.
  • Lead cost and capacity planning to ensure efficient resource allocation and operational scalability.
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