Job Description

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.

This opportunity is hybrid with 3 days in office and 2 days work from home

What You'll Bring

• BS degree in Computer Science, similar technical field of study or equivalent practical experience.
• Located in the greater Bangalore region.
• 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.

About Kong
Kong is THE cloud native API platform with the fastest, most adopted API gateway in the world (over 300m downloads!). Loved by developers and trusted with enterprises’ most critical traffic volumes, Kong helps startups and Fortune 500 companies build with confidence – allowing them to bring solutions to market faster with API and service connectivity that scales easily and securely.