DevOps Engineer

Who you are

• 5+ years DevOps or software development experience
• 3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB
• 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
• 2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting
• Ability to architect, analyze, and support complex distributed systems
• Automating deployment, scaling, and management of containerized applications with Docker or Kubernetes
• 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
• Familiarity with service mesh concepts and experience implementing one of the service mesh frameworks like Istio or Linkerd with Kubernetes clusters
• Production experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka
• Security centric in all approaches to design in infra as code as well as Docker build pipelines and microservice deployments

What the job involves

• 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
• 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
• Forecast and plan for the infrastructure needs of a fast-growing SaaS company and find ways to improve efficiency and cost
• 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
• Analyze system performance and capacity and plan for future growth
• 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