SRE Monitoring Platform Software Engineer (Entry Level)

Location: Remote within San Jose, CA or Austin, TX

Company

hirify.global builds Bitcoin mining infrastructure, AI computational infrastructure, cloud capabilities, and GPU data center platforms across multiple countries.

What you will do

• Build collection, ingestion, query, storage, enrichment, and monitoring components for metrics, logs, traces, and profiles.
• Develop alerting, correlation, SLO, topology, cluster-health, remediation, workflow, and job-scheduling components.
• Integrate observability and platform plugins for Kubernetes, Slurm, Ray, Volcano, Kueue, and KubeRay.
• Instrument services with OpenTelemetry, build dashboards, and write operational runbooks.
• Write unit, integration, and contract tests and participate in chaos and soak testing.
• Operate shipped components with senior-engineer guidance, including shadow on-call participation before taking primary responsibility.

Requirements

• 0–2 years of software engineering experience; strong projects or internships are accepted for new graduates.
• Programming experience in Go, Python, Java, or Rust, with the ability to write clean, readable, tested code.
• Knowledge of data structures, algorithms, concurrency, TCP/HTTP, operating systems, and distributed-systems fundamentals.
• Hands-on exposure to monitoring or observability tools such as Prometheus, Grafana, or Loki, including basic PromQL and service instrumentation.
• Familiarity with Linux, shell tools, Kubernetes fundamentals, Git, CI pipelines, and unit and integration testing.
• Clear written and verbal English, strong communication skills, curiosity, and willingness to learn GPU/AI infrastructure, AIOps, distributed systems, and production observability.

Nice to have

• Internship or project experience in monitoring, observability, telemetry pipelines, platform engineering, or SRE tooling.
• Exposure to GPU and AI infrastructure, including DCGM, InfiniBand/RoCE, Kubernetes GPU Operator, Slurm, or Ray.
• Exposure to AIOps or ML-adjacent tooling such as anomaly detection and alert correlation.
• Contributions to open-source observability or cloud-native projects.

Culture & Benefits

• Greenfield platform development with an established Plugin Framework, GitOps pipeline, and SLO framework.
• Mentorship from senior and principal engineers who own the architecture.
• Opportunity to learn the full observability stack at production scale.
• Full-time employment with remote work limited to the stated locations.