Infrastructure Engineer

Responsibilities

Build automated deployment, hosting and reliable cloud infrastructure for Atoms. 1. Build and improve CI/CD, release, rollback, staged rollout, and environment management workflows to help engineering teams deliver faster and with confidence. 2. Design monitoring, logging, tracing, alerting, and incident response systems, moving from reactive firefighting toward proactive prevention. 3. Automate platform capabilities for cloud functions, application hosting, image registries, domains, certificates, and gateway routing. 4. Improve high availability, capacity planning, failure drills, disaster recovery, cost efficiency, and security hardening. 5. Work closely with engineering, algorithm, product, and full-stack teams to identify bottlenecks and improve reliability across teams. 6. Document incident reviews and SOPs and build automation so lessons from production incidents become lasting improvements.

Qualifications

1. Critical thinking and follow-through: you can break down complex production incidents, identify root causes, drive fixes, and turn them into lasting improvements. 2. 5+ years of production operations, SRE, DevOps, platform engineering, or infrastructure engineering experience. 3. Practical experience and strong interest in AI Agents, AI toolchains, automated operations, and platform engineering. 4. Familiarity with Linux, networking, containers, Kubernetes, CI/CD, gateways, monitoring, and alerting. 5. Development skills in at least one of Go / Python / Shell, with the ability to solve repetitive and complex problems through code. 6. An understanding of observability and experience with one or more of Prometheus, Grafana, ELK / EFK, OpenTelemetry, or Jaeger. 7. Practical experience with AWS, GCP, or another cloud provider. 8. A strong reliability mindset across SLAs, error rates, latency, capacity, cost, and blast radius. 9. Sound trade-offs between speed, stability, security, and cost, including knowing when immediate mitigation is needed. How you work 1. You care about long-term reliability, maintainability, and cost, beyond simply getting a system to run. 2. You use automation, tools, and platforms to reduce repeated work. 3. You stay calm during incidents and follow through on improvements afterward. 4. You understand business workflows, user journeys, and product goals and use them to inform reliability decisions. 5. You enjoy solving difficult problems with capable teammates and take responsibility for the long-term quality of critical systems.

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