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Software Engineer - Observability

Join Baseten as a Software Engineer on the Observability team to enhance the reliability of AI product systems.

Location
San Francisco
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 1 month ago

First seen on Joblaze 1 week ago

Last verified on the company career page 1 day ago

Apply at baseten → Save job Scanned from baseten.co

AI in the day-to-day

Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Benefits

401k Match Fertility and family-building stipend Flexible PTO Equity/Stock Options Health Insurance Parental Leave

Joblaze summary

In this role, the Software Engineer on the Observability team at Baseten will focus on developing scalable telemetry ingest and storage pipelines to enhance the reliability of the company's AI infrastructure. Key skills include expertise in observability signals like metrics and logging, as well as proficiency in programming languages such as Python, Rust, or Go. This position is ideal for experienced engineers who thrive in dynamic environments and enjoy tackling complex technical challenges. As Baseten continues to grow rapidly, the team plays a crucial role in shaping the observability landscape for both internal and external users.

Joblaze insights

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: ClickHouse, Go, Grafana, OpenTelemetry, Prometheus, Python.
What seniority level is this role?
baseten targets mid-level candidates for this position.
Is this full-time or contract?
Full-time for this Software Engineer - Observability role at baseten.

From the original posting

ABOUT BASETEN

Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products.

THE ROLE

Baseten is seeking talented and experienced Software Engineers to join our Observability team within the Infrastructure organization. As an early member of the Observability Team, you will be pivotal in building and shaping the observability experience for our internal and external customers. By joining this team, you’ll have a direct impact on the reliability and operational excellence of Baseten's product systems.

As Baseten scales its infrastructure across different cloud providers and diverse hardware, the volume and complexity of operational data is growing by orders of magnitude. This team is responsible for building high-throughput ingest pipelines, cost-efficient storage, and agentic diagnostic tools to ensure that we can detect, diagnose, and resolve issues in minutes rather than hours, even as the systems they operate become more complex.

RESPONSIBILITIES

  • Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces across Baseten’s multi-cloud infrastructure

  • Own and evolve core observability platforms, driving migrations and architectural improvements that improve reliability, reduce cost, and scale with organizational growth

  • Build instrumentation libraries, SDKs, and integrations that make it easy for engineering teams to emit high-quality telemetry from their services

  • Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond to reliability targets with minimal noise

  • Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs of each organization

REQUIREMENTS

  • Have deep experience with at least one observability signal area (metrics, logging, tracing, or error analytics) and familiarity with the others

  • Understand high-throughput data pipelines, columnar storage engines, and the tradeoffs involved in ingesting and querying telemetry data at scale

  • Have experience operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse, OpenTelemetry, or similar systems

  • Have strong proficiency in at least one of Python, Rust, or Go

  • Have excellent communication skills and enjoy partnering with internal teams to improve their operational visibility and incident response capabilities

  • Interest in applying AI/LLMs to operational workflows such as automated root cause analysis, anomaly detection, or intelligent alerting

  • Are excited about building foundational infrastructure and are comfortable working independently on ambiguous, high-impact technical challenges

BENEFITS

  • Competitive compensation, including meaningful equity

  • 100% coverage of medical, dental, and vision insurance for employee and dependents

  • Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!)

  • Paid parental leave

  • Fertility and family-building stipend through Carrot

  • Company-facilitated 401(k)

  • Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.

Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you.

At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

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