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Platform Engineer Backstage Jobs (NOW HIRING)

Radiance Technologies

Senior Platform Engineer

Albuquerque, NM · On-site

$101K - $139K/yr

As a Senior Platform Engineer, you will be responsible for designing, implementing, and improving ... Experience with software such as Argo, Backstage, Coder, Harbor, Grafana, Prometheus, Velero, and ...

Radiance Technologies

$94K - $129K/yr

As a Senior Platform Engineer, you will be responsible for designing, implementing, and improving ... Experience with software such as Argo, Backstage, Coder, Harbor, Grafana, Prometheus, Velero, and ...

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How much do platform engineer backstage jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for platform engineer backstage 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.

What is the difference between Platform Engineer Backstage vs DevOps Engineer?

AspectPlatform Engineer BackstageDevOps Engineer
CredentialsRelevant engineering degrees, cloud certificationsSimilar certifications, cloud and automation skills
Work EnvironmentFocus on developer portals, tooling, and platform integrationsFocus on CI/CD pipelines, automation, and infrastructure
Industry UsageUsed in tech companies building developer platformsCommon across software development and IT operations

Platform Engineer Backstage primarily focuses on building and maintaining developer portals and internal platforms, enhancing developer experience. DevOps Engineers concentrate on automating deployment pipelines and infrastructure management. While both roles require cloud and automation skills, their core responsibilities differ, with Platform Engineers Backstage emphasizing developer tools and DevOps Engineers focusing on deployment and operations.

What are the typical responsibilities of a Platform Engineer working with Backstage, and how does this role collaborate with development teams?

As a Platform Engineer specializing in Backstage, you will be responsible for building, maintaining, and enhancing the internal developer platform using Backstage as the core framework. Your daily tasks often include developing custom plugins, integrating third-party tools, automating workflows, and ensuring the platform is reliable and user-friendly for internal teams. You will work closely with software developers, DevOps engineers, and product managers to understand their needs, gather feedback, and deliver solutions that improve developer productivity. Collaboration and communication are key, as you’ll frequently participate in cross-functional meetings and support teams in adopting new platform features.

What is a Platform Engineer Backstage?

A Platform Engineer Backstage is a software engineer who specializes in developing, maintaining, and optimizing internal developer portals using Backstage, an open-source platform created by Spotify. Their role involves building self-service tools, integrating various development and deployment systems, and improving the developer experience within an organization. They work to streamline workflows, enhance automation, and ensure that engineering teams have the infrastructure and tools needed to deliver software efficiently. Platform Engineers using Backstage help organize infrastructure, documentation, and services in a centralized portal, promoting productivity and consistency.

What are the key skills and qualifications needed to thrive as a Platform Engineer Backstage, and why are they important?

To thrive as a Platform Engineer specializing in Backstage, you need strong expertise in software engineering, DevOps practices, and experience with Backstage.io as well as cloud infrastructure, often supported by a degree in computer science or related field. Familiarity with tools such as Kubernetes, Docker, CI/CD pipelines, and Backstage plugins is typically required, along with knowledge of programming languages like TypeScript or JavaScript. Excellent problem-solving abilities, collaboration, and clear communication are vital soft skills for this role. These skills ensure efficient platform development, smooth developer experiences, and the reliable operation of internal developer portals in complex technical environments.
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Platform Engineer Backstage jobs near you
Infographic showing various Platform Engineer Backstage job openings in the United States as of May 2026, with employment types broken down into 58% Full Time, and 42% Part Time. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $133,026 per year, or $64 per hour.
Senior Platform Engineer (Cloud Platform)

Senior Platform Engineer (Cloud Platform)

Amplitude

San Francisco, CA

Other

Posted 29 days ago

Job description

About the Role

Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code - and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a platform where AI agents are first-class users alongside humans: kicking off deploys, opening pull requests against infrastructure, and triaging incidents, so a single engineer can get the throughput of a team.

You'll partner with Staff engineers and product teams to make Kubernetes effortless across the engineering org, building self-service automation and scalable AWS infrastructure that lets product teams ship faster, safer, and with less cognitive load. If you're excited about building the systems that other engineers will rely on every day, this role is for you.

Key Responsibilities
  • Lead high-impact platform projects - design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices.
  • Build the AI-augmented platform. Design tooling and workflows that help engineers get more out of AI-assisted development - think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written.
  • Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform, Helm, Kustomize, and emerging tooling - and make it consumable enough that an LLM can safely PR against it.
  • Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to make deploys faster, safer, and easier to reason about.
  • Instrument and operate. Drive observability with Datadog and Amplitude, own dashboards and SLOs, and use the data to push reliability forward.
  • Participate in on-call, lead incident response when needed, and turn postmortems into durable platform improvements.
  • Reduce toil and tech debt with pragmatic remediation plans that account for future requirements and operational cost.
  • Translate product needs into platform features by partnering closely with product engineering teams.
  • Mentor and multiply. Coach junior and mid-level engineers, support their growth, and onboard new teammates - including helping the team get more leverage out of AI-assisted development.
  • Shape the roadmap by spotting high-leverage opportunities and scoping them to maximize impact.
What We're Looking For
  • 5+ years of experience in software engineering, DevOps, or Site Reliability Engineering, with serious hands-on time in cloud infrastructure.
  • Education: B.S. in Computer Science or an equivalent technical field.
  • Production experience operating Kubernetes (EKS, GKE, AKS, or on-prem) and containerized applications at meaningful scale.
  • Proficiency in at least one programming language (Golang or Python preferred) and IaC tooling (Terraform).
  • Working knowledge of AWS core services (EC2, EKS, IAM, VPC, ALB, S3) and networking/security fundamentals.
  • Familiarity with GitOps workflows and the CNCF ecosystem (Argo, Helm, Backstage, Envoy, and friends).
  • A track record of delivering projects that measurably improved reliability, performance, or developer productivity.
  • Curiosity and conviction about AI as a force multiplier in infrastructure work - whether that's using AI-assisted development tools to ship faster or building platforms and tooling that help your teammates get more leverage from AI in their day-to-day work.
  • Strong communicator - you can break down complex topics for varied audiences and default to collaborative problem solving.
  • Comfort navigating ambiguity by validating assumptions early and using data to de-risk technical decisions.
  • A pragmatic, business-aligned engineering mindset and a habit of continuous learning.

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