Site Reliability Engineer (SRE)

Weekday (YC W21); New York (NY); On-site; USD 145,000 - 225,000; Full time

Job summary

Weekday (YC W21) in New York City is seeking a Site Reliability Engineer (SRE) to join our engineering team. You will ensure the reliability, scalability, performance, and security of our production systems and cloud infrastructure.

The role sits at the intersection of software engineering, cloud infrastructure, DevOps, and operations, focusing on automation, observability, distributed systems, and building highly reliable platforms that scale with business growth.

Qualifications

• 2-8 years of experience in SRE, DevOps, Cloud/Infra Engineering.
• Experience administering Linux/Unix systems.
• Hands-on with AWS, GCP, or Azure.
• Strong Docker and Kubernetes knowledge.
• Terraform or other IaC tools.
• Proficiency in at least one programming or scripting language (Python, Go, Bash, Java).
• Experience building CI/CD pipelines.
• Strong networking, DNS, TCP/IP, load balancing, and security fundamentals.
• Experience with monitoring, logging, alerting and observability platforms.
• Understanding of distributed systems, scalability, HA, and fault tolerance.
• Strong troubleshooting and incident response skills.

Responsibilities

• Design, build, and maintain scalable production infrastructure.
• Improve reliability, performance, scalability, and operational efficiency.
• Develop automation to eliminate repetitive tasks and reduce manual work.
• Manage cloud infrastructure across AWS, GCP, or Azure.
• Build and maintain CI/CD pipelines for reliable deployments.
• Manage containerized workloads using Docker and Kubernetes.
• Implement infrastructure as code using Terraform, CloudFormation, or similar tools.
• Establish monitoring, logging, alerting, and observability across systems.
• Work with tools like Prometheus, Grafana, Datadog, CloudWatch, ELK, or OpenTelemetry.
• Troubleshoot production incidents and participate in incident response and RCA.
• Define and monitor SLIs, SLOs, and SLAs.
• Identify bottlenecks and implement improvements; disaster recovery planning.
• Collaborate with engineers to build reliable applications; participate in on-call rotations.
• Document infrastructure and incident learnings.

Skills

Linux/Unix systems administration

AWS/GCP/Azure

Docker

Kubernetes

Terraform

CI/CD pipelines

Programming/scripting (Python, Go, 0,

Tools

Terraform

CloudFormation

Prometheus

Grafana

Datadog

New Relic

OpenTelemetry

ELK

Docker

Kubernetes

Job description

Location: New York City, NY
Experience: 2-8 years
Employment Type: Full-time
Compensation: $145,000 - $225,000 per year + bonus/equity

About the Role

We are looking for a highly skilled Site Reliability Engineer (SRE) to join our engineering team in New York City. You will be responsible for ensuring the reliability, scalability, performance, and security of our production systems and cloud infrastructure.

You will work at the intersection of software engineering, cloud infrastructure, DevOps, and operations. The ideal candidate is passionate about automation, observability, distributed systems, and building highly reliable platforms that can scale with business growth.

Key Responsibilities

• Design, build, and maintain highly available and scalable production infrastructure.
• Improve system reliability, performance, scalability, and operational efficiency.
• Develop automation to eliminate repetitive operational tasks and reduce manual intervention.
• Manage and optimize cloud infrastructure across AWS, GCP, or Azure.
• Build and maintain CI/CD pipelines for reliable and automated deployments.
• Manage containerized workloads using Docker and Kubernetes.
• Implement infrastructure using Terraform, CloudFormation, or similar Infrastructure-as-Code tools.
• Establish monitoring, logging, alerting, and observability across production systems.
• Work with tools such as Prometheus, Grafana, Datadog, CloudWatch, ELK, or OpenTelemetry.
• Troubleshoot production incidents and participate in incident response and root-cause analysis.
• Define and monitor SLIs, SLOs, and SLAs.
• Identify system bottlenecks and implement performance and reliability improvements.
• Develop disaster recovery, backup, and business continuity strategies.
• Collaborate with software engineers to build reliable and operationally efficient applications.
• Participate in on-call rotations and help improve incident-management processes.
• Document infrastructure, operational procedures, architecture, and incident learnings.

Must-Have Skills

• 2-8 years of experience in SRE, DevOps, Cloud Engineering, Infrastructure Engineering, or a related field.
• Strong experience with Linux/Unix systems administration.
• Hands-on experience with AWS, GCP, or Azure.
• Strong knowledge of Docker and Kubernetes.
• Experience with Terraform or other Infrastructure-as-Code tools.
• Proficiency in at least one programming or scripting language such as Python, Go, Bash, or Java.
• Experience building and managing CI/CD pipelines.
• Strong understanding of networking, DNS, TCP/IP, load balancing, and security fundamentals.
• Experience with monitoring, logging, alerting, and observability platforms.
• Understanding of distributed systems, scalability, high availability, and fault tolerance.
• Strong troubleshooting and problem-solving skills.
• Experience with incident response and root-cause analysis.

Nice-to-Have Skills

• Experience with AWS EKS, ECS, EC2, Lambda, RDS, S3, CloudFront, and CloudWatch.
• Experience with Prometheus, Grafana, Datadog, New Relic, or OpenTelemetry.
• Knowledge of service meshes such as Istio or Linkerd.
• Experience with Kafka, RabbitMQ, or other distributed messaging systems.
• Experience with GitHub Actions, GitLab CI, Jenkins, or ArgoCD.
• Knowledge of security engineering and cloud security best practices.
• Experience implementing SLOs, error budgets, and reliability metrics.
• Familiarity with FinOps and cloud-cost optimization.
• Experience operating large-scale distributed systems.
• AWS/GCP/Azure or Kubernetes certifications.
• Experience in fintech, SaaS, high-growth startups, or other high-availability environments.