Senior Software Engineer, Observability
Join Together AI as a Senior Software Engineer to design and implement a scalable observability platform for our generative AI lifecycle.
Skills & Technologies
Benefits
Joblaze summary
In this role, the Senior Software Engineer for Observability at Together AI focuses on designing and implementing a scalable observability platform that enhances system performance and data management. Key skills include expertise in observability tools like Prometheus and Grafana, along with strong programming abilities in Go and Python. This position is ideal for experienced engineers with a background in distributed systems and cloud-native monitoring. The team is integral to the company's AI Acceleration Cloud, emphasizing innovation in generative AI infrastructure.
Joblaze insights
- Listed today on Joblaze — tracked directly from Together AI's career page.
- Together AI has 61 other open roles including Research Engineer, Post-Training Inference, Senior Network Engineer, Senior Product Engineer.
- 2407 active Python roles on Joblaze right now.
- 1105 active Kubernetes roles on Joblaze right now.
- 835 active Go roles on Joblaze right now.
- Salary band is above the typical range for DevOps/SRE roles (median ~$160,000).
- Pays more than 78% of the 1428 salaried Python roles we track (median $160,000).
Quick facts
- Is the Senior Software Engineer, Observability role remote?
- It's hybrid — Together AI expects some on-site time in San Francisco.
- What's the salary range?
- Together AI lists $200,000–$280,000 for this role.
- Where is the role based?
- Together AI is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Terraform, Grafana, Prometheus, Go, ClickHouse, MongoDB.
- What seniority level is this role?
- Together AI targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, Observability role at Together AI.
From the original posting
About the Role
Together AI is building the AI Acceleration Cloud, an end-to-end platform for the full generative AI lifecycle, combining the fastest LLM inference engine with state-of-the-art AI cloud infrastructure.
The AI Infrastructure team at Together AI is at the forefront of building and scaling the foundational systems that power our generative AI platform. The storage and observability team is crucial for designing, implementing, and maintaining robust distributed storage solutions, ensuring seamless data access and management. They are also responsible for developing comprehensive observability platforms, providing critical insights into system performance and GPU utilization, and proactively identifying and resolving issues.
Responsibilities
- Design and implement a scalable observability platform (metrics, logs, traces) using tools like Prometheus, Grafana, ClickHouse, ClickStack, and OpenTelemetry, including telemetry data pipelines and log aggregation workflows.
- Develop automated monitoring, alerting, and anomaly detection systems, including SLIs/SLOs, runbooks, and predictive analytics for critical services.
- Build and deploy custom observability tools and infrastructure-as-code using Go, Python, Terraform, Ansible, and Helm.
- Collaborate with engineering teams to enhance distributed tracing and application monitoring, and lead incident response with post-mortem analysis.
- Define observability best practices.
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.
Preferred
- Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.
- Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.
- Contributions to open-source observability projects.
- Familiarity with security monitoring and compliance frameworks.
Compensation
We offer competitive compensation, startup equity, health insurance, and other benefits, as well as flexibility in terms of remote work. The US base salary range for this full-time position is: $200,000 - $280,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.
Equal Opportunity
Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.
Please see our privacy policy at https://www.together.ai/privacy