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Heroku Platform Engineer Jobs (NOW HIRING)

Platform Engineer Department: Engineering Employment Type: Full Time Location: San Francisco ... Candidates whose infrastructure experience is limited to managed PaaS (Heroku, Vercel, Railway) * ...

Node.JS Engineer

San Diego, CA

$54.50 - $70.25/hr

... Heroku platform + Salesforce Analytics Cloud - Experiences with Big Data processing Hadoop - Bonus: Data analysis skills - Proficiency in NodeJS -Bonus: Also familiar with Python, Ruby, or Go ...

Senior Software Engineer

New York, NY ยท On-site

$134K - $176K/yr

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... Heroku , Amazon , and other cloud platforms Who holds f ull stack background ; able to write in ...

Senior Software Engineer

New York, NY ยท On-site

$134K - $176K/yr

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... platforms Qualifications Ruby, Heroku, Amazon, Cloud, HAML, SASS< Rails, Posgres Additional ...

Senior Software Engineer

New York, NY ยท On-site

$134K - $176K/yr

Job Title: Senior Software Engineer Job Level : Senior Level Job Location: New York, NY THIS IS ... platforms Qualifications Ruby, Heroku, Amazon, Cloud, HAML, SASS< Rails, Posgres Additional ...

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... Heroku , Amazon , and other cloud platforms Who holds f ull stack background ; able to write in ...

Senior Software Developer

New York, NY ยท On-site

$59.50 - $78.75/hr

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... platforms Qualifications Ruby, Heroku, Amazon, Cloud, HAML, SASS< Rails, Posgres Additional ...

Senior Software Developer

New York, NY

$59.50 - $78.75/hr

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... Heroku , Amazon , and other cloud platforms Who holds f ull stack background ; able to write in ...

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... platforms Qualifications Ruby, Heroku, Amazon, Cloud, HAML, SASS< Rails, Posgres Additional ...

Senior Software Engineer Job Level : Senior Level Job Location: New York, NY Industry: Start Up ... Heroku , Amazon , and other cloud platforms Who holds f ull stack background ; able to write in ...

Basic experience with deployment on cloud platforms like AWS, Heroku, or Render. * Testing ... Engineer prompts, personas, and system/user roles to ensure chatbot quality and tone. * Develop ...

... Gross (CEO @ Heroku), John Kodumal (CTO @ LaunchDarkly), Nate Stewart (CPO @ Cockroach Labs ... We're an engineer-led team that obsesses over the reliability and availability of our service, and ...

... Gross (CEO @ Heroku), John Kodumal (CTO @ LaunchDarkly), Nate Stewart (CPO @ Cockroach Labs ... We're an engineer-led team that obsesses over the reliability and availability of our service, and ...

Data Engineer III

San Ramon, CA ยท On-site +1

$128K - $153K/yr

Familiarity with Salesforce/Heroku data infrastructures * Experience with data virtualization (e.g., Dremio) * Understanding of Platform Engineering concepts and internal developer platforms

Data Engineer III

San Ramon, CA ยท On-site +1

$128K - $153K/yr

Familiarity with Salesforce/Heroku data infrastructures * Experience with data virtualization (e.g., Dremio) * Understanding of Platform Engineering concepts and internal developer platforms

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Heroku Platform Engineer information

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How much do heroku platform engineer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for heroku platform engineer in the United States is $63.95, according to ZipRecruiter salary data. Most workers in this role earn between $50.48 and $73.80 per hour, depending on experience, location, and employer.

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For Heroku Platform Engineer jobs, the most frequently searched job titles are:

Platform Engineer

San Francisco, CA โ€ข On-site

Full-time

Medical, Dental, Vision

Posted 9 days ago


Job description

Platform Engineer
Department: Engineering
Employment Type: Full Time
Location: San Francisco
Description
You'll own the infrastructure platform that our AI models run on. This isn't a CI/CD-focused DevOps role. You'll work across GPU orchestration, multi-cloud Kubernetes, real-time networking, and observability. You'll be the person who knows why a model pod took 4 minutes to schedule, why cross-region latency spiked, or why a media relay is dropping packets.
We run production today across multiple Kubernetes clusters, regions, and GPU types, and we're actively expanding to additional cloud providers. You'll lead that expansion and keep everything running.
What You'll Do
  • Provision and manage multi-region Kubernetes clusters across AWS and GPU cloud providers using infrastructure-as-code.
  • Own the GitOps deployment lifecycle (Helm charts, Kustomize overlays, image automation, and continuous delivery.)
  • Manage GPU node infrastructure: scheduling, model weight caching, image prefetching for fast cold starts, and GPU observability.
  • Operate and improve our networking layer: ingress and gateway management, load balancing, media relay infrastructure, and cross-region connectivity.
  • Build and maintain our observability stack: metrics, logs, traces, and profiling across all services and GPU workloads.
  • Maintain infrastructure security: IAM, secret management, certificate automation, and encryption at rest.
  • Own CI/CD pipelines for monorepo builds spanning Go services, Python model containers, and Helm chart releases.
  • Partner with ML engineers on model serving: container optimization, health checks and startup tuning, media pipeline performance, and multi-GPU configuration.

What We're Looking For
  • You've operated Kubernetes in production at scale, not just deployed to it, but debugged node-level scheduling issues, tuned autoscalers, and managed cluster upgrades.
  • Strong infrastructure-as-code experience (Terraform, Pulumi, or similar) across multiple environments and regions.
  • You've worked with GPU workloads on Kubernetes: device plugins, node taints/tolerations, GPU-aware scheduling. You understand why bin-packing matters
    for expensive hardware.
  • Experience with GitOps tooling (FluxCD, ArgoCD, or similar) and Helm chart authoring.
  • Comfortable with Redis or similar in-memory data stores (replication, persistence, pub/sub or streaming patterns)
  • Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry, or equivalent) and knowing when to reach for metrics vs. logs vs. traces.
  • Solid networking fundamentals: load balancers, TLS, DNS, NAT. Real-time or low-latency networking experience is a strong plus.
  • You've worked in a startup where you owned infrastructure end-to-end, not just one slice of it.

Nice to Have
  • Experience with GPU cloud providers beyond AWS (Crusoe, CoreWeave, Lambda Labs, Nebius)
  • Real-time media or streaming infrastructure
  • Go or Python proficiency
  • Familiarity with ML model serving (container image optimization, weight loading, GPU driver and runtime management)
  • FinOps and GPU cost optimization

What We're Not Looking For
  • Pure CI/CD pipeline engineers who haven't operated Kubernetes clusters directly
  • Candidates whose infrastructure experience is limited to managed PaaS (Heroku, Vercel, Railway)
  • People who need a fully defined scope, this role requires figuring out what to build next, not just executing tickets

Benefits
  • Competitive San Francisco salary and meaningful equity
  • We sponsor visas and support relocation to the US
  • Generous health, dental, and vision coverage