Site Reliability Engineer 2
Join Kong as a Site Reliability Engineer to automate deployment workflows and optimize SaaS environments across multiple platforms.
Skills & Technologies
Requirements
- Education
- Bachelor's degree
Joblaze summary
In this role, the Site Reliability Engineer 2 at Kong focuses on automating workflows for product release, testing, and deployment while enhancing staging and production environments for SaaS applications. Key skills include experience with CI/CD processes, infrastructure as code tools like Terraform, and proficiency in Linux/Unix systems, alongside knowledge of programming languages such as Go or Python. This position is ideal for candidates with a solid technical background and experience in managing distributed systems in a 24/7 service environment. Kong's emphasis on API and AI connectivity technologies positions the team at the forefront of innovation.
Joblaze insights
- Listed 12 days ago on Joblaze — tracked directly from Kong's career page.
- Kong has 110 other open roles including Enterprise Account Executive, Sr. Staff Product Designer, Design Systems, Account Development Rep.
- 2585 active Python roles on Joblaze right now.
- 1200 active Kubernetes roles on Joblaze right now.
- 913 active Go roles on Joblaze right now.
- Typical Python salary we track runs $125,000–$193,400 (median $160,000, across 1514 roles).
Quick facts
- Is the Site Reliability Engineer 2 role remote?
- No — this is an on-site role in Singapore.
- Where is the role based?
- Kong is hiring for this position in Singapore.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Terraform, C++, Datadog, HTTP, Grafana, Unix.
- What seniority level is this role?
- Kong targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Site Reliability Engineer 2 role at Kong.
From the original posting
Are you ready to unlock intelligence?
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.
Located in Singpaore.
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.
Any additional tasks required by manager.
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.
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-CL1
About Kong:
Kong Inc., a leading developer of API and AI connectivity technologies, is building the infrastructure that powers the agentic era. Trusted by the Fortune 500 and startups alike, Kong's unified API and AI platform, Kong Konnect, enables organizations to secure, manage, accelerate, govern, and monetize the flow of intelligence across APIs and AI models. For more information, visit www.konghq.com.