$200,000 – $280,000
Listed on Together AI’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the design and implementation of observability platforms for an AI infrastructure company, building monitoring, logging, and tracing systems that help teams understand and optimize distributed AI systems. It suits experienced backend engineers comfortable with cloud-native tools, infrastructure-as-code, and the operational challenges of scaling high-performance systems.
Our summary, not Together AI’s wording. The full posting is on their site.
Skills this role names
- Amazon Web Services (AWS)
- Ansible
- ClickHouse
- Docker
- Go
- Grafana
- Helm
- Kubernetes
- Microsoft Azure
- MongoDB
- OpenTelemetry
- PostgreSQL
- Prometheus
- Python
- Redis
- Terraform
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What they ask for
Required
- Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry)
- Cloud-native monitoring experience (AWS, GCP, Azure)
- Strong programming in Go, Python, or similar languages
- Infrastructure-as-code proficiency (Terraform, Ansible, Helm)
- Experience designing and scaling large-scale distributed systems
- High-volume data ingestion and real-time querying experience
- Docker and Kubernetes knowledge
- Microservices architecture and service mesh understanding
- CI/CD pipelines and GitOps experience
- Database management (PostgreSQL, MongoDB, Redis) and time-series databases
Nice to have
- Experience monitoring AI/ML infrastructure and GPU clusters
- High-frequency, low-latency systems monitoring background
- Chaos engineering and reliability testing experience
- Contributions to open-source observability projects
- Security monitoring and compliance framework familiarity