Site Reliability Engineer (Remote)

Job summary

The role involves setting the technical direction for reliability across a cloud-based infrastructure, focusing on the platform that provisions and manages AI agents for payment processing globally. The position requires a senior-level individual contributor who will drive architectural decisions and establish reliability standards across engineering teams.

Qualifications

• Minimum of 7 years of experience in site reliability engineering or related fields.
• Proven experience with event-driven architecture and messaging systems, including message queues like Kafka or RabbitMQ.
• Deep knowledge of AWS services such as EC2, VPC, IAM, S3, and RDS.
• Proficiency in Infrastructure as Code tools like Terraform or Pulumi.
• Experience with Kubernetes and Docker in production environments.
• Strong skills in observability tools and defining SLOs and error budgets.
• Hands-on experience with chaos engineering and resilience testing.
• Solid debugging skills for distributed systems and experience with SQL and NoSQL databases.
• Advanced proficiency in English, both written and spoken.

Responsibilities

• Define and implement the reliability strategy and standards across engineering teams.
• Drive architectural evolution and make key technology decisions for the platform.
• Design and manage the messaging layer for inter-service communication.
• Automate cloud infrastructure provisioning and ensure scalability.
• Build monitoring and alerting systems to maintain platform health.
• Lead incident response and conduct postmortems to improve reliability.
• Foster a culture of chaos engineering to identify and mitigate potential failures.

Skills

• Technical leadership and mentorship capabilities.
• Strong understanding of distributed systems and debugging techniques.
• Familiarity with AI and MLOps infrastructure is a plus.

Education

• Relevant degree in Computer Science, Engineering, or a related field is preferred but not explicitly required.

Tools

• Experience with Datadog or similar observability tools.
• Familiarity with chaos engineering tools like Gremlin or AWS FIS.