System observability jobs

Staff Backend Software Engineer

Databricks · Posted Mar 18, 2026

Open

New York, New York, United States
Staff
$190K–$261K per year
8+ years

Staff Backend Software Engineer

Databricks · Posted Mar 18, 2026

Open

New York, New York, United States
Staff
$190K–$261K per year
8+ years

Senior Backend Software Engineer- (AI Platform)

Databricks · Posted Jun 30, 2025

Open

Mountain View, California, United States +1 more
Full-time · Senior
$166K–$225K per year
5+ years

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Building the substrate that powers data apps, AI agents, model training, model serving, and vector search within the Mosaic AI team.

Locations (2)

Mountain View, California, United States
San Francisco, California, United States

Compensation

$166,000—$225,000 USD

Responsibilities

Build infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs
Improve reliability, latency, and efficiency of distributed AI workloads
Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
Shape how developers and data scientists build and interact with AI on Databricks

Requirements

Nice to have: real-time serving
Nice to have: ML infrastructure
Nice to have: GPU orchestration

Tech Lead

Enumerate · Posted Nov 2, 2026

Open

Remote
Remote
Contract
$4K–$5K per month
5+ years

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Lead technical design and implementation of AI-powered product features, managing cross-functional AI pods and ensuring production-ready solutions.

Compensation

Total monthly compensation: $3,500—$4,500 USD

Responsibilities

Lead the technical design and implementation of AI-powered product features from concept through production
Own end-to-end architecture for AI solutions, including data flows, model integration, APIs, and application integration
Make pragmatic decisions to accelerate delivery while maintaining system integrity
Ensure AI solutions are secure, observable, scalable, and aligned with platform standards
Act as the technical lead for a cross-functional AI Pod

Requirements

BS or MS in Computer Science, Engineering, or related technical field
Nice to have: AI-first
Nice to have: data-driven product teams
Nice to have: LLM platforms
Nice to have: prompt engineering

Skills

Python backend language cloud-native architectures AWS

Lead AI/ML Engineer

UnitedHealth Group · Posted Nov 6, 2026

Open

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Lead AI/ML Engineer

Responsibilities

Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
Build and deploy production LLM agents that automate detection, triage, and remediation of platform and application issues
Design and tune RAG pipelines over runbooks, incident history, logs, code, and internal documentation, including chunking strategy, embedding selection, vector store design, hybrid/semantic search, and reranking
Implement agent orchestration, including tool/function calling, multi-step planning, multi-agent handoffs, memory, and state management
Build supporting infrastructure and software layers for agents, including tool wrappers, guardrails, human-in-the-loop approval paths, and fallback behavior

Skills

Large Language Model (LLM) agents Retrieval-Augmented Generation (RAG) pipelines Machine learning engineering System observability Developer experience SRE InfoSec Platform teams AI solutions Orchestration Tool/function calling Multi-step planning Multi-agent handoffs Memory State management

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System observability jobs

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