Software Engineer - Observability

Baseten
San Francisco +3 more
On-site

Who this role is best for

Aimed at mid-level Software Engineers with observability expertise who enjoy building foundational infrastructure and working independently on ambiguous challenges.

Best fit for

  • Mid-level engineers with a background in observability platforms and a passion for AI-driven operational tools
    — “Interest in applying AI/LLMs to operational workflows such as automated root cause analysis
  • Candidates with experience building telemetry pipelines and working in multi-cloud environments
    — “As Baseten scales its infrastructure across different cloud providers and diverse hardware
  • Individuals who thrive on shaping observability experiences for internal and external customers
    — “you will be pivotal in building and shaping the observability experience for our internal and external customers

Things to consider

  • The role involves significant independent work on complex, high-impact technical challenges
    — “comfortable working independently on ambiguous, high-impact technical challenges
  • Candidates should be prepared for cross-team collaboration and influencing reliability targets
    — “Partner with Inference, Product, and Infrastructure teams to ensure observability solutions meet the unique needs

How to stand out

  • Highlight experience with observability platforms like Prometheus or ClickHouse in your resume
    — “operating or building on top of observability platforms such as Prometheus, Grafana, ClickHouse
  • Showcase your ability to design high-throughput data pipelines and optimize storage solutions
    — “Design and build scalable telemetry ingest and storage pipelines for metrics, logs, and traces
  • Emphasize your contributions to alerting systems and SLO infrastructure in prior roles
    — “Drive alerting and SLO infrastructure that enables teams to define, monitor, and respond
  • Demonstrate your proficiency in Python, Rust, or Go during technical interviews
    — “strong proficiency in at least one of Python, Rust, or Go
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • building scalable telemetry ingest and storage pipelines
  • owning and evolving core observability platforms
  • building instrumentation libraries and SDKs
Typical background
deep experience with observability signal areas

Skills & requirements

Required

Observability PlatformsHigh-throughput Data PipelinesColumnar Storage EnginesPython, Rust, Or GoOperating Observability Platforms

Preferred

Ai/llms To Operational WorkflowsAutomated Root Cause AnalysisAnomaly DetectionIntelligent Alerting

Stack & domain

ObservabilityTelemetryMetricsLoggingTracingError AnalyticsHigh-throughput Data PipelinesColumnar Storage EnginesPrometheusGrafanaClickhouseOpentelemetryPythonRustGoCommunicationPartneringOperational VisibilityIncident ResponseInfrastructure

About the role

Original posting from Baseten via Ashby

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 https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to 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 Basetens 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).

Source: Baseten careers (Ashby)

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