DevOps Engineer

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As a DevOps engineer in our team, you will have the opportunity to work on innovative cloud platform technologies (AWS, GCP) and implement tools to automate maintenance and support our engineering environments. You will also work closely with our Platform Engineering team to deploy changes to our engineering environments with a view to enabling verification of these changes.

About You

What will you be doing?

Design infrastructure and automated systems to support our distributed architecture

Build and Manage CI/CD pipelines and constantly improve their reliability & speed, and reduce lead time for changes.

Trace performance bottlenecks and identify optimizations and improvements at both the infrastructure and application level

Collaborate with our engineering team to meet high SLO and SLA requirements from customers

Maintain highly available web and backend systems that serve millions of users, and 1000's of requests per second

Closely collaborating with Developers to setup, configure and plan the necessary cloud services in support of new feature development on AWS

Securing our infrastructure at both the cloud layer (IAM) and application layer (PKI)

Building and expanding monitoring and alerting systems for both infrastructure and business operations, using internal tools & integrating into established 3rd party SaaS ones.

Establishing comprehensive infrastructure-as-code coverage to support our entire platform

Develop tools to enhance and support Developer Productivity

Champion automation of manual processes and reducing operational overhead

Basic Qualifications:

• 5+ years DevOps experience
• 2+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2.
• 2+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem.

Other Qualifications

• A degree in Computer Science or related field, or equivalent practical experience
• Demonstrable experience in infrastructure as code frameworks, in particular with Terraform, and configuration management using Ansible.
• Production experience in creating and maintaining cloud environments in AWS, spanning across multiple geographic regions.
• Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)
• Experience debugging and optimizing systems and code
• Automating deployment, scaling, and management of containerized applications with Docker or Kubernetes
• Passion to optimize and automate.
• Autoscaling and autohealing of infrastructure.
• Strong hands on experience with the AWS ecosystem
• Familiarity with service mesh concepts and experience implementing one of the service mesh frameworks like Istio or Linkerd with Kubernetes clusters (circuit breaking, failure injection, retries and timeouts on the data-plane proxy level, canary deployments using weight based routing for pods and services, etc').
• Experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting.
• Experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB
• Experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka
• A passion for automation and integrating with build systems such as GitHub, GitLab CI.
• Security centric in all approaches to design in infra as code as well as Docker build pipelines and microservice deployments.
• Ability to quickly learn complex systems and environments, from the network through the application.