Senior Site Reliability Engineer (AI)

Location: Jakarta, Indonesia

Company

hirify.global is a Google Cloud Partner delivering infrastructure, data analytics, machine learning, cloud migration, and application development solutions, including the Rabbit cloud cost optimization product.

What you will do

• Build automated validation, progressive rollout, and recovery mechanisms for AI-assisted delivery.
• Define and operationhirify.globale SLOs, SLIs, and error budgets to balance delivery speed and reliability.
• Develop AI agent workflows for alert triage, incident investigation, maintenance, and reporting, with verification and human approval where needed.
• Improve logging, metrics, tracing, alerting, runbooks, incident investigations, and blameless postmortems.
• Extend Terraform and delivery tooling to keep infrastructure reproducible and changes reviewable.
• Strengthen GCP infrastructure, networking, access controls, capacity management, performance, reliability, and cost efficiency.

Requirements

• 6+ years of experience in SRE, production engineering, or infrastructure-heavy backend roles with ownership of production systems.
• Hands-on Google Cloud experience, including Cloud Run, networking, and IAM; GCP expertise will be assessed during the interview.
• Strong Terraform, CI/CD, deployment safety, observability, troubleshooting, and root-cause analysis skills.
• Coding ability in Go, Python, or a comparable language, with experience building maintainable operational tooling.
• Experience leading production incident investigations and implementing improvements that prevent recurrence.
• Strong written English and the ability to collaborate asynchronously with a distributed team.

Nice to have

• Kubernetes or GKE experience, including deployment, operation, debugging, and scaling of containerized services.
• Datadog experience with dashboards, monitors, logs, APM, and distributed tracing.
• Experience with progressive delivery, policy-as-code, automated rollback, GCP cost management, FinOps, or security.

Culture & Benefits

• AI-assisted engineering and agent-driven workflows are part of the standard development process.
• Work on systems with direct customer impact in enterprise Google Cloud environments.
• Small-team environment with short decision paths and end-to-end ownership.
• Engineering work includes infrastructure, delivery, and operations automation with production safeguards.