Senior Site Reliability Engineer (AWS/Kubernetes)

Location: Curitiba, Brazil

Company

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

What you will do

• Design, build, and operate highly reliable, scalable infrastructure for a multi-tenant SaaS platform.
• Automate deployment, provisioning, and operational workflows across cloud infrastructure and applications.
• Build internal tools, services, frameworks, and observability systems covering metrics, logging, tracing, and dashboards.
• Define SLOs, investigate incidents, lead root cause analysis and blameless postmortems, and reduce operational toil.
• Partner with development teams on availability, performance, scalability, security, and production readiness.
• Mentor engineers and create documentation, runbooks, and training materials.

Requirements

• Strong programming skills in Python or Go.
• Deep experience with AWS and production systems operating at scale.
• Hands-on expertise with Kubernetes, including EKS, Docker, Helm, CNI, Ingress, and Kubernetes primitives.
• Experience with Infrastructure as Code using Terraform, Terragrunt, or similar tools.
• Solid Linux and networking fundamentals, plus experience with observability platforms such as Datadog, Prometheus, OpenTelemetry, or CloudWatch.
• Experience with CI/CD, GitOps, incident management, microservices production support, SSO, SAML, OAuth, and identity providers.

Nice to have

• Java/Spring Boot experience.
• Experience with Kafka, SQS, Aurora, or RDS.
• Exposure to KubeVela, Crossplane, AWS or Kubernetes certifications, or open-source contributions.
• Bachelor’s degree in Computer Science or a related field, or equivalent experience.

Culture & Benefits

• Work on a mission-critical global platform used by leading insurers.
• Solve complex real-world infrastructure and reliability problems at scale.
• Collaborate with distributed engineering teams in a high-impact environment.
• Participate in a 24x7 follow-the-sun on-call rotation for critical production systems.
• Use AI and data-driven insights to improve engineering productivity and outcomes.