Roles remotos de GCP para candidatos en Estados Unidos.

Design, build, and operate reconciliation systems, including the SSS backend, to track desired stack state, detect and repair drift across stack templates, grafana.com state, Hosted Grafana, and actual customer stack configuration

Have strong backend engineering fundamentals with experience building scalable, distributed systems in production

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.

Build and deliver AI solutions: Take ownership of developing high-performance AI features to help users detect, triage, and resolve incidents using observability data and tools.

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

Own end-to-end development of multi-agent AI systems, from architecture and implementation through testing, deployment, and ongoing operation

Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences.

Build and evolve fullstack features for RUM, spanning backend services, APIs, storage systems, and frontend user experiences.

Operate and develop the Elastic Build service, our Kubernetes + GitHub + Cloud Run pipeline that converts package specifications into real downloadable artifacts, improving reliability, performance, resource usage

Implement and iterate on AI workflows on top of existing data pipelines — product feedback extraction, customer update generation, onboarding plans, win/loss summaries, CRM enrichment

Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data.

Own escalated support from L1: investigate, reproduce, and resolve complex technical issues before they ever need to reach an engineer.

Design, build, train, and deploy machine learning models to detect sensitive data and malicious threats (phishing emails).

Develop and architect the cloud-native Stream Governance platform - a multi-tenant, highly available, and scalable service for Kafka and real-time data.

Own technical integration delivery for priority customers — from first API call through production scale

Design and build product features that push the standard for remote development in self-hosted environments

Pioneer our agent experience. Shape how AI agents interact with Pinecone — designing interfaces, protocols (MCP), and tooling that make Pinecone the easiest and most capable platform for agentic workflows to build on.

Own and lead the design and implementation of complex backend services and systems in a cloud-native, microservices-based environment.

Design for Action: Build AI integrations that do more than just summarize text. Design systems that can securely read from and write back to our core platforms (e.g.

Architect and implement solutions in our queueing layer, state store, and execution layer (eg. concurrency over time, or function debounce)