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Senior Software Engineer, Observability

Together AI · San Francisco

CHECKED 2H AGO

Infrastructureonsitesenior$200k–$280k
Apply on the lab’s site ↗

At a glance

Highlights

  • Build the AI Acceleration Cloud powering full generative AI lifecycle.
  • Scale foundational systems serving 400+ trillion tokens a month.
  • Drive insights into system performance and GPU utilization at scale.

What they offer

  • startup equity
  • health insurance
  • remote work flexibility

Ideal candidate

Seasoned reliability-focused engineer who loves scaling large platforms and turning complex signals into clarity. You thrive on proactive problem-solving, deep system ownership, and empowering teams with actionable insight.

Requirements

  • Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure)
  • Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm)
  • Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying
  • Deep understanding of containerization (Docker) and orchestration (Kubernetes)
  • Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows
  • Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data
remote policy
flexibility in terms of remote work

Lab profile

About Together AI

AI-native cloud for training and inference on large-scale GPU infrastructure for AI apps and agents.

What they build

  • AI-native cloud platform
  • GPU clusters for training and inference
  • Platform for AI applications and agents

Known for

  • Operating large-scale GPU fleets
  • Automated infrastructure at massive scale
  • Multi-site data center deployment

Key facts

  • Over 1M developers
  • Operates one of the world's largest GPU fleets
  • Infrastructure managing tens of thousands of GPUs
More about Together AI →
Apply on the lab’s site ↗