Senior Site Reliability Engineer (Data Platform)

Location: Kuala Lumpur, Malaysia

Company

hirify.global provides a cloud platform for property and casualty insurers, combining digital, core, analytics, and AI capabilities.

What you will do

• Design self-service automation and tooling in Go, Python, or scripting languages for deployment, operations, and troubleshooting.
• Build and improve CI/CD pipelines with promotion gates and automated quality checks.
• Provision and maintain cloud infrastructure for data and analytics workloads using Terraform and AWS CloudFormation.
• Operate Kubernetes environments on AWS EKS, including deployment, scaling, lifecycle management, and containerized data services.
• Develop observability for data platforms with metrics, traces, logs, dashboards, and actionable alerts using tools such as Datadog and ELK.
• Improve reliability through capacity planning, cost-aware design, progressive delivery, chaos engineering, incident response, and collaboration with engineering, data, security, and SRE teams.

Requirements

• 8+ years of experience in Site Reliability Engineering, DevOps, Production Engineering, or similar roles supporting distributed systems and data platforms.
• Experience operating AWS cloud services in production, including on-call support.
• Hands-on experience with Kafka, Hadoop, Spark, and Hive in public-cloud data platforms.
• Proficiency in Java, Go, or Python, plus scripting for automation and integrations.
• Strong experience with Kubernetes, Docker, CI/CD, Infrastructure as Code, microservices, REST or gRPC, and AWS data services.
• Deep knowledge of distributed systems, networking, storage, operating systems, scalability, resilience, monitoring, logging, incident response, and troubleshooting.

Nice to have

• Familiarity with Kubevela or Crossplane.
• Kubernetes or AWS certifications.
• Contributions to open-source projects.

Culture & Benefits

• Collaborative work across engineering, data, operations, security, and SRE teams.
• Culture emphasizing accountability, continuous learning, continuous improvement, collaboration, and psychological safety.
• Agile development environment using Scrum and Kanban practices.
• Focus on operational excellence, experimentation, and thoughtful adoption of emerging cloud, data, and SRE technologies.