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Lead Observability Engineer (Remote, North America)

Vivun Inc.

Job Overview

Location

Los Angeles, Indiana, USA

Job Type

Full-time

Full Job Description

📋 Description

• Own the end-to-end observability strategy for Ava, Vivun’s AI Sales Teammate, defining the standards, tools, and patterns that ensure reliable visibility across infrastructure and agentic components. You will architect a unified observability layer that spans traditional SaaS services, LLM-driven agents, and the orchestration glue that binds them.
• Design and implement correlation models that link agent behavior, LLM interactions, and SaaS telemetry into cohesive, actionable insights. Your dashboards will tell a story: how a spike in token latency cascades into slower call wrap-ups, or how an OpenAI rate-limit warning correlates with a drop in rep productivity.
• Unify observability tooling across teams, ensuring metrics, logs, and traces flow into a central platform (e.g., Observe, Datadog, or equivalent). You will evaluate vendors, negotiate contracts, and migrate legacy data so that every engineer—from backend to prompt-tuning—has a single pane of glass.
• Collaborate with engineering and QA to embed observability best practices into development workflows, CI/CD, and quality gates. Pull-request templates will include “observability checklist” items; feature flags will auto-inject trace IDs; load tests will fail if p95 latency regresses beyond SLO thresholds.
• Establish enablement frameworks—documentation, dashboards, and templates—that make observability self-serve for all engineering teams. You will run internal workshops, record Loom demos, and maintain a living runbook library so that on-call engineers can diagnose issues without paging you.
• Partner with teammates to ensure observability aligns with infrastructure reliability, alerting, and incident response patterns. You will co-define error budgets, participate in blameless post-mortems, and refine PagerDuty escalation policies so that alerts are actionable and fatigue is minimal.
• Contribute to performance and reliability strategy, helping define how we measure agent quality, responsiveness, and system scalability. You will instrument token-usage cost tracking, model-drift detection, and user-perceived latency SLIs that directly map to revenue impact.
• Champion a culture of curiosity and ownership. When the CEO asks “Why did Ava hallucinate on yesterday’s demo call?”, you will already have the trace that shows the prompt injection, the vector-db recall score, and the downstream service timeout—all in one view.
• Iterate rapidly in a fully remote, high-growth startup. You will ship weekly, pivot quarterly, and scale yearly, turning observability from a cost center into a product differentiator that lets Vivun sell “AI you can trust.”

🎯 Requirements

• 6+ years in SRE, DevOps, or Observability Engineering roles, with at least 2 years leading or designing observability initiatives
• Deep knowledge of observability tooling (OpenTelemetry, Prometheus, Grafana, Datadog, Honeycomb, Observe, etc.) and distributed tracing practices
• Experience with Agentic/LLM-based systems (LangChain, Celery, OpenAI APIs, or similar orchestration frameworks)
• Proven ability to define cross-team standards, influence engineering culture, and establish scalable monitoring patterns
• Strong collaboration and communication skills—you enable, not dictate

🏖️ Benefits

• Competitive salary and full health benefits
• Stock options at a well-funded, pre-IPO company on a fast-growth track
• Flexible work schedules and work from anywhere in North America
• Unlimited PTO with two weeks designated as “quiet period” each year

Skills & Technologies

Python

JavaScript

Node.js

Prometheus

Grafana

Senior

Remote

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Vivun Inc.

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About Vivun Inc.

Vivun provides a SaaS platform that aligns pre-sales teams with product, sales, and customer success. The software captures technical field insights, manages product gap requests, and offers analytics to prioritize roadmap decisions. Features include demo environments, opportunity scoring, and AI-driven recommendations. Founded in 2020, the company serves B2B technology vendors seeking to shorten sales cycles and improve product-market fit.

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