Senior Software Engineer, Observability
Together AI · Not provided by source
MeritLog read this listing from Together AI's Greenhouse job board and last checked it on September 9, 2026.
Source: the employer's Greenhouse job board. Open the original listing for current details.
Job details
- Work model
- Not provided by source
- Salary
- Conflicting source ranges
- Location
- San Francisco
- Occupation
- Software Developers(O*NET 15-1252.00)
Hiring context
How this role compares at Together AI
Together AI has 59 live roles in MeritLog’s catalog across 9 job families, and 37 of them are in engineering. 0 of those listings publish a pay range, a disclosure rate of 0%.
Together AI concentrates this hiring in:
Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.
What the role asks for
What you'd do
- 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.
What they're asking for
- Expertise in observability platforms (Prometheus, Grafana, ClickStack, OpenTelemetry) and cloud-native monitoring services (AWS, GCP, Azure).Skill
- Strong programming skills in Go, Python, or similar languages, with proficiency in infrastructure-as-code tools (Terraform, Ansible, Helm).Skill
- Experience designing, operating, and scaling large-scale distributed systems and pipelines for high-volume data ingestion and real-time querying.Skill
- Deep understanding of containerization (Docker) and orchestration (Kubernetes).Skill
- Knowledge of microservices architecture, service mesh technologies, CI/CD pipelines, and GitOps workflows.Skill
- Expertise in managing databases (PostgreSQL, MongoDB, Redis) and time-series databases with high-cardinality data.Skill
- Experience monitoring AI/ML infrastructure, GPU clusters, and custom metrics for model performance and training pipelines.SkillPreferred
- Background in high-frequency, low-latency systems monitoring, chaos engineering, and reliability testing.SkillPreferred
- Contributions to open-source observability projects.SkillPreferred
- Familiarity with security monitoring and compliance frameworks.SkillPreferred
Parsed by MeritLog from the employer’s own posting. The full description follows below.
Job description
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. About Together AI Together AI, the AI Native Cloud, is purpose-built for AI engineers. AI application developers get high-performance inference that scales reliably, fine-tuning and reinforcement learning for creating frontier-level specialized models, and pre-training at massive scale for fully custom intelligence, all around a marketplace of leading open models that teams can run, adapt, and own. Trusted by Cursor, Decagon, ElevenLabs, Salesforce, and Zoom, Together serves 400+ trillion tokens a month. 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
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