Site Reliability Engineer 2
About the role
- Operate and scale
- Kong’s global SaaS platform (Konnect), ensuring reliability, availability, and performance across regions and clouds.
- Build, automate, and maintain
- Kubernetes-based infrastructureand deployment workflows using
- Terraform/Terragrunt , Helm, and
- ArgoCD .Design, maintain, and optimizemulti-region data and caching layers— including
- PostgreSQL, Redis, ClickHouse, and Druid— for high availability and low latency.
- Operate and improve
- Kong Gatewayand
- Kong Meshenvironments supporting hybrid and distributed architectures.
- Develop and maintainCI/CD pipelinesandGitOps workflowsto automate service delivery and ensure consistent infrastructure changes.
- Enhanceobservabilityandincident response readinessthrough systems like
- Datadog, Prometheus, Grafana, and Thanos, defining and tracking SLOs.
- Collaborate closely with development and security teams to ensure smooth operation ofSaaS servicesin compliance with reliability, security, and regulatory standards.
- Participate in a global24/7 on-call rotationand drive continuous improvement of operational playbooks and postmortem practices.
- Lead and contribute toscaling initiativesthat improve elasticity, reliability, and cost-efficiency across the SaaS platform.
- BS in Computer Scienceor equivalent practical experience.
- Proven experience managing
- SaaS or PaaS systemsat enterprise scale (multi-region, multi-tenant, secure environments).Deep expertise inKubernetes, including debugging cluster/networking issues and designing for fault tolerance and scalability.
- Strong proficiency with
- Infrastructure as Codetools like
- TerraformorTerragrunt .Experience withCI/CD pipelinesandGitOps workflows(ArgoCD, Atlantis, Helm).Proficiency in one or more programming languages ( Go, Python, Bash ) for automation and tooling.
- Solid understanding ofLinux/Unix systems , networking (DNS, TLS/SSL, HTTP) , load balancersanddistributed systems .Experiencing working withAPI gatewayandservice meshtechnologies
- Familiarity withstreaming systemslike
- Kafkaand observability platforms (Datadog, Prometheus, Grafana).Experience working in a24/7/365 production supportenvironment.
- Hands-on experience with
- Kong Gateway , Kong Mesh, or similar service connectivity technologies.
- Experience operating
- ClickHouse , Druid, or othertime-series and analytics databases .Experience managing
- PostgreSQLandRedisin multi-region configurations.
- Working knowledge ofAWS networking(PrivateLink, Transit Gateway, VPC Peering, Firewalls), Azure VNet, orGCP NCC .Strong understanding ofdisaster recovery , resiliency testing, andcompliance-driven reliabilitypractices.#LI-KC1
Before you apply
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Your profile is current
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A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
