Site Reliability Engineer

New

YunoPayments infrastructure

You can work from everywhereFull-TimeStaff

Salary not disclosed

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Job Details

Languages: English — advanced proficiency, written and spoken; Spanish proficiency is nice to have.
Experience: +7 Years of Experience
Required Skills: AWSDockerPostgreSQLKafkaKubernetesTerraformDatadog

Requirements

Have more than 7 years of experience.
Design and own event-driven systems using message queues such as Kafka, NATS, or RabbitMQ; understand at-least-once delivery, consumer groups, dead letters, and backpressure.
Have experience migrating systems from synchronous to asynchronous communication.
Bring deep AWS experience with EC2, VPC, IAM, S3, and RDS, plus strong networking fundamentals.
Use Terraform or Pulumi for infrastructure as code.
Have production experience with Kubernetes and Docker, including container lifecycle, resource limits, health checks, and orchestration at scale.
Have observability experience with Datadog or an equivalent, including dashboards, monitors, APM, and distributed tracing; have defined and operated SLOs, SLIs, and error budgets.
Have hands-on experience with chaos engineering and resilience testing, such as fault injection, game days, or chaos experiments.
Be able to debug distributed systems and production failures, and code automation and tooling in Go, Python, or a similar language.
Have solid SQL experience with PostgreSQL and NoSQL experience with MongoDB and Redis, including indexing, replication, and performance tuning.
Have proven technical leadership setting reliability standards, influencing architecture across teams, and mentoring engineers.
Have advanced written and spoken English proficiency.
Preferred: production AI/MLOps infrastructure experience, multi-tenant container platforms, data pipelines and orchestration, incident-management tooling, or payments-industry experience.

Responsibilities

Define reliability standards, SLO culture, error-budget policy, and incident practices across engineering teams.
Drive platform architecture decisions and evolve the infrastructure as the platform matures.
Design and own the messaging layer for inter-service communication, replacing synchronous patterns with durable async messaging.
Own AWS cloud infrastructure and automate provisioning with infrastructure as code.
Build monitoring, tracing, and alerting for platform health.
Act as the senior escalation point for difficult production problems.
Run blameless postmortems and root-cause analyses, turning findings into permanent fixes.
Mentor senior and mid-level engineers and raise reliability standards.
Run fault-injection and resilience experiments to identify and prevent failures.

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