Lead SRE (Site Reliability Engineer)

SQD; Schweiz; Remote; CHF 120,000 - 180,000; Full time

Benefits offered by this job

Fully remote

Flexible hours

Token incentives

Ownership of reliability

Job summary

SQD is seeking an experienced SRE to scale Portal with enterprise-grade reliability. You will own CI/CD, orchestration, and infrastructure-as-code, building a high-availability ingestion pipeline with sub-second latency and 99.9% uptime.

Internally, you’ll optimize hosting strategies across cloud and bare metal, monitor systems, and define SRE metrics, logging, and alerting. This fully remote role offers ownership of reliability and cost-effective infra for a frontier AI/Web3 platform.

Qualifications

• 3+ years of experience as an SRE, DevOps Engineer, or similar role with reliability achievements.
• Experience running production services with on-call, incident response, and post-mortems.
• Experience defining metrics, logging, and alerting to keep production healthy.
• Proficiency in Kubernetes, Terraform, Prometheus, Grafana or equivalent tools.
• Strong understanding of distributed systems, data pipelines, and failure modes.
• Cloud infrastructure knowledge (AWS, GCP) and cost optimization.
• Ability to balance performance, reliability and cost, choosing hosted vs self-hosted.
• Programming skills (Python, Go, Rust, or Bash) for automation.
• Experience monitoring blockchain nodes or working with node providers.
• Willingness to learn internals of blockchain nodes and EVM/SVM data.

Responsibilities

• Design, build, and optimize a high-availability data ingestion pipeline with sub-second latency and 99.9% uptime.
• Own CI/CD, orchestration, and infrastructure-as-code layers.
• Identify and implement tools to run and monitor blockchain nodes with failover.
• Assess infrastructure trade-offs to optimize performance, reliability, and cost.
• Build and maintain a public status page and incident management process.
• Collaborate with engineers integrating new chains and patches to ingestion pipeline.
• Define and maintain SRE metrics, logging, and alerting.
• Improve observability, automation, and fault tolerance.
• Contribute to incident response and on-call rotations.

Skills

SRE experience

On-call experience

Kubernetes

Terraform

Prometheus/Grafana

Cloud infra (AWS/GCP)

Automation (Python/Go/Rust/Bash)

Blockchain nodes/Web3

Incident post-mortems

Observability

Tools

Kubernetes

Terraform

Prometheus

Grafana

CI/CD tooling

Job description

About SQD

At SQD, we're redefining the database layer for the AI and Web3 world. Our flagship product, Portal, streams validated real-time and historical data from 120+ networks to developers building across DeFi, AI agents, and Web3 ecosystems. As we scale, we need an experienced SRE to help take our systems to enterprise-grade infrastructure.

What you'll do

• Help design, build, and optimize a high-availability blockchain data ingestion pipeline with sub-second latency and 99.9% uptime.
• Own our CI/CD, orchestration, and infrastructure-as-code layers.
• Identify and implement the right tools to run and monitor blockchain nodes, with failover solutions using multiple node providers.
• Continuously assess infrastructure trade-offs (hosted nodes, subscriptions, bare metal) to achieve optimal performance, reliability, and cost-efficiency.
• Build and maintain a public status page, and the incident management process behind it: severities, escalation paths, and post-mortems that change how we build.
• Work closely with engineers integrating new chains, making necessary patches to the ingestion pipeline.
• Define and maintain key SRE metrics, logging, and alerting, proactively identifying and resolving reliability risks.
• Stay ahead of past incidents, continuously improving observability, automation, and fault tolerance.
• Contribute to incident response, troubleshooting, and on-call rotations.

Requirements

• 3+ years of experience as an SRE, DevOps Engineer, or similar role, with reliability achievements you can point to and talk through.
• Experience running production services against real SLAs, including on-call, incident response, and post-mortems.
• Experience defining and implementing metrics, logging, and alerting to keep production healthy and prevent incidents.
• Proficiency in Kubernetes, Terraform, Prometheus, Grafana, or equivalent monitoring tools.
• Strong understanding of distributed systems, streaming data pipelines, and the failure modes that come with them.
• Deep knowledge of cloud infrastructure (AWS, GCP, or bare metal setups) and cost optimization strategies.
• Ability to balance performance, reliability, and cost, assessing when to use hosted nodes, subscriptions, or self-hosted setups.
• Programming skills (Python, Go, Rust, or Bash) for automation and infrastructure tooling.
• Experience monitoring and running blockchain nodes (Ethereum, Solana, etc.), and/or working with node providers as a backup solution.
• Willingness to learn and understand the internals of blockchain nodes, EVM/SVM data, and work with engineers to integrate new chains.
• Previous experience in Web3 is preferred.

Benefits

• Competitive salary + token incentives
• Fully remote with flexible hours
• High-impact role with ownership where your work directly shapes the reliability of the onchain data layer
• Build the operational foundations for a frontier AI/Web3 company