The ad says“Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“Automating deployment, scaling, and management of containerized applications with Docker or Kubernetes”
The ad says“3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB”
The ad says“2+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2”
The ad says“2+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“Familiarity with service mesh concepts and experience implementing one of the service mesh frameworks like Istio or Linkerd with Kubernetes clusters”
The ad says“Production experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka”
The ad says“2+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem”
The ad says“Familiarity with service mesh concepts and experience implementing one of the service mesh frameworks like Istio or Linkerd with Kubernetes clusters”
The ad says“3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB”
The ad says“2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting”
The ad says“Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)”
The ad says“Production experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka”
The ad says“3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB”
The ad says“Production experience troubleshooting and autoscaling message queueing clusters in a high availability cluster such as RabbitMQ, SQS or Kafka”
The ad says“Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)”
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
Preferred experience
3+ years of experience building, maintaining and scaling database technologies such as Postgresql, MySQL, Redis, and DynamoDB
2+ years of experience with Prometheus/Grafana/Cloudwatch metrics monitoring, ELK/OpenSearch stack for logging and PagerDuty and alerting
2+ years experience building and managing EKS clusters and strong knowledge of the K8s ecosystem
2+ years experience orchestrating large scale distributed microservice deployments on Kubernetes and EC2
5+ years DevOps or software development experience
Automating deployment, scaling, and management of containerized applications with Docker or Kubernetes
Security centric in all approaches to design in infra as code as well as Docker build pipelines and microservice deployments
Consistent track record of building tooling, automation, and/or services in one or multiple languages (e.g., Go, Python, Bash or Typescript)
Ability to architect, analyze, and support complex distributed systems
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
Experience debugging and optimizing systems and code
