Site Reliability Engineer

Yuno

Staff SRE defining reliability for Yuno’s AI-powered payments infrastructure. Owning AWS architecture, messaging, observability, incident response, and resilience at scale.

Posted 8/10/2026full-timeRemote • 🌎 Anywhere in the WorldSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in cloud infrastructure management, particularly with AWS, and possesses a strong background in designing reliable, event-driven systems. Proven ability to lead technical direction, mentor engineering teams, and implement robust reliability strategies across platforms.

Highest-signal resume keywords

AWS ExpertiseEvent-Driven System DesignInfrastructure as CodeTechnical LeadershipMonitoring and Alerting Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Event-Driven SystemsAsynchronous CommunicationAWS EC2AWS VPCAWS IAMAWS S3AWS RDSTerraformKubernetesDocker

Soft Skills

Technical MentorshipCommunicationProblem-Solving

Tools & Technologies

KafkaNATSRabbitMQDatadogGremlinChaos MeshAWS FISSQLPostgreSQLMongoDB

Industry Keywords

Reliability EngineeringSLOsSLIsError BudgetsDistributed Systems

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerEC2GoKafkaKubernetesMongoDBNoSQLPostgresPythonRabbitMQRedisSQLTerraform

About the role

Key responsibilities & impact

Set the technical direction for reliability across Yuno’s infrastructure, beginning with the AWS platform that provisions, deploys, and manages AI agents at scale
Own the platform reliability strategy, including architectural decisions, reliability measurement, and engineering standards
Define SLO culture, error-budget policy, and incident practices across engineering teams
Design and own durable, reliable asynchronous messaging for inter-service communication
Own cloud infrastructure and automate provisioning with Infrastructure as Code
Ensure the platform scales reliably as transaction volume grows
Build monitoring, tracing, and alerting systems for platform health
Serve as senior escalation point for difficult production incidents
Run blameless postmortems and root-cause analyses that produce permanent fixes
Conduct continuous fault injection and resilience experiments
Mentor senior and mid-level engineers and raise organization-wide reliability standards

Requirements

What you’ll need

7+ years of experience
Designed and owned event-driven systems using message queues such as Kafka, NATS, or RabbitMQ
Understanding of at-least-once delivery, consumer groups, dead letters, and backpressure
Experience migrating systems from synchronous to asynchronous communication
Deep AWS experience with EC2, VPC, IAM, S3, and RDS
Strong networking fundamentals
Infrastructure as Code experience with Terraform or Pulumi
Kubernetes and Docker production experience, including container lifecycle, resource limits, health checks, and orchestration at scale
Datadog fluency or equivalent experience with dashboards, monitors, APM, and distributed tracing
Track record defining and operating SLOs, SLIs, and error budgets across services
Hands-on fault injection, game day, or chaos experiment experience using Gremlin, Chaos Mesh, AWS FIS, or similar
Distributed systems debugging experience
Comfortable coding automation and tooling in Go, Python, or similar
Solid SQL and PostgreSQL knowledge
NoSQL experience with MongoDB and Redis, including indexing, replication, and performance tuning
Proven technical leadership, architecture influence across teams, and engineering mentorship
Advanced written and spoken English proficiency

Benefits

Comp & perks

Competitive Compensation
Remote Work — you can work from everywhere
Home Office Bonus — a one-time allowance to set up your ideal home office
Work Equipment
Stock Options
Health Plan wherever you are
Flexible Days Off
Language, Professional, and Personal Growth courses