You will automate workflows for releasing, testing, and deploying products, improve environments, and manage distributed systems for SaaS applications.
Are you ready to power the World's connections?
If you don’t think you meet all of the criteria below but are still interested in the job, please apply. Nobody checks every box - we’re looking for candidates that are particularly strong in a few areas, and have some interest and capabilities in others.
About the role:
You will be responsible for contributing to a team that is building and maintaining workflows that automate releasing, testing and deploying products. Improving staging and production environments for SaaS distributions. Research and build monitoring/analyze tools to optimize building and deploying code-base, manage distributed systems and application resources. You will build workflows for delivering our software to a variety of platforms including AWS, GCP, Azure, and container technologies like Docker and Kubernetes to automate deployment and scale our products.
What you'll bring:
- BS degree in Computer Science, similar technical field of study or equivalent practical experience.
- Experience with continuous/rapid release engineering (CI/CD)."Infrastructure as Code" configuration management systems such as Terraform, Chef, Puppet or Ansible.
- Experience with Apache Kafka.
- Experience building and administering alerting and monitoring systems for API services.
- Strong knowledge of Linux/Unix systems.
- Knowledge of one or more mainstream programming languages (Go, C/C++, Python).
- Strong skills in network services such as DNS, TLS/SSL, HTTP.
- Experience working in a 24/7/365 service environment.
- Debugging Kubernetes clusters, issues, and networking problems.
- Design, implement, manage and orchestrate Kubernetes container clusters.
Bonus Points:
- Experience implementing secure and highly available distributed systems/ microservices.
- Working knowledge of CSP networking solutions AWS (Transit Gateway, Direct Connect, VPC peering, VPN), Azure (Azure VNet ) and GCP (Network Connectivity Center).
- Professional experience managing production software in AWS.
- Experience with PostgreSQL in multi-region configuration.
- Experience with Datadog, ElasticSearch, Prometheus, Grafana.
- Experience with Redis in multi-region configuration.
About Kong:
Kong is THE cloud native API platform with the fastest, most adopted API gateway in the world (over 300m downloads!). As the innovation leader of cloud API technologies, Kong is on a mission to enable companies around the world to become "API-first" and securely accelerate AI adoption. Kong helps organizations globally - from startups to Fortune 500 enterprises - unleash developer productivity, build securely and accelerate to market.
83% of web traffic today is API calls! APIs are the connective tissue of the cloud and the underlying technology that allows software to talk and interact with one another. Therefore, we believe that APIs act as the nervous system of the cloud. Our audacious mission is to build the nervous system that will safely and reliably connect all of humankind!
For more information about Kong, please visit konghq.com or follow @thekonginc on Twitter.
We are an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
#LI-AP1
Top Skills
Ansible
Apache Kafka
AWS
Azure
C/C++
Chef
Datadog
Dns
Docker
Elasticsearch
GCP
Go
Grafana
HTTP
Kubernetes
Linux
Postgres
Prometheus
Puppet
Python
Redis
Terraform
Tls/Ssl
Unix
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