Platform Engineers for Internal Developer Platforms

Hire Platform Engineers
Who Build Self-Service Golden Paths Developers Actually Use

Hire Platform Engineers who build internal developer platforms, service catalogs, reusable infrastructure modules, CI/CD standards, Kubernetes foundations, secrets workflows, observability defaults, and self-service deployment paths that reduce engineering friction without hiding critical context.

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Senior Platform Engineer

Kubernetes Terraform Backstage CI/CD
All Levels

$5,500/mo

Junior from $2,800/mo · Mid from $4,000/mo · Senior from $5,500/mo

7-Day Risk-Free Trial

Zero commitment start

Onboard in 48 Hours

Pre-vetted, ready to ship

AI-Native Development

Faster iteration, cleaner code

Trusted by CTOs, Engineering Leaders & Operators Worldwide

Trusted by CTOs, Engineering Leaders & Operators Worldwide

Trusted by CTOs, Engineering Leaders & Operators Worldwide

Trusted by CTOs, Engineering Leaders & Operators Worldwide

Trusted by CTOs, Engineering Leaders & Operators Worldwide

10+ Years in Business

500+ Projects Delivered

200+ Global Clients

4.9/5 Client Satisfaction

Why Platform Engineering Fails When It Is Treated Like Ticket-Based DevOps

A platform is a product for internal developers. If it only adds another approval queue or tool layer, developers route around it and the organization keeps paying the tax of slow delivery, inconsistent environments, and duplicated infrastructure work.

The Hiring Problem

Developers wait on infrastructure, environment, secrets, and deployment tickets instead of shipping product work

CI/CD, runtime configuration, observability, rollback, and access patterns differ across every team

Kubernetes, Terraform, cloud accounts, policy checks, and service ownership are inconsistent or poorly documented

New services take too long to scaffold, secure, deploy, monitor, document, and register in the software catalog

Our Solution

We shortlist engineers who build self-service workflows for service creation, environments, deployments, secrets, observability, and rollback

Infrastructure is standardized through Terraform or OpenTofu modules, Kubernetes patterns, GitOps, policy checks, and secure defaults

CI/CD becomes faster and safer through reusable workflows, build caching, preview environments, release gates, and rollback paths

Platform documentation, Backstage catalogs, scorecards, templates, CLIs, and paved roads are designed for adoption by real product teams

Why Hire Platform Engineers from Devlyn

Senior, product-minded Platform Engineers vetted for cloud-native delivery, platform-as-product thinking, developer experience, Kubernetes, infrastructure as code, CI/CD, observability, security defaults, and operational ownership.

Why Hire Platform Engineers from Devlyn
Internal Developer Platform

Internal Developer Platform

Builds self-service workflows for service creation, environment provisioning, deployments, secrets, observability, scorecards, service ownership, and developer onboarding.

Infrastructure as Code

Infrastructure as Code

Standardizes cloud resources with Terraform, OpenTofu, reusable modules, state management, policy checks, drift detection, account patterns, and review controls.

Kubernetes Enablement

Kubernetes Enablement

Manages clusters, namespaces, Helm charts, ingress, autoscaling, network policies, pod security, resource quotas, deployment patterns, and upgrade practices.

CI/CD Optimization

CI/CD Optimization

Improves GitHub Actions, GitLab CI, Buildkite, CircleCI, Argo CD, release gates, build caching, test parallelization, artifact handling, and rollback reliability.

Developer Experience

Developer Experience

Reduces setup time with Backstage catalogs, software templates, docs-as-code, internal CLIs, reusable workflows, paved roads, and feedback loops from developer teams.

Security by Default

Security by Default

Bakes in secrets management, least privilege, image scanning, policy as code, dependency checks, audit trails, access reviews, and secure defaults for new services.

From developer friction to platform adoption.

The process is built to prove whether the engineer can reduce a real delivery bottleneck and package the solution as a reusable platform capability, not a one-off infrastructure fix.

We start with the workflow developers struggle with today: creating a service, provisioning an environment, adding secrets, deploying safely, observing production, rolling back, or finding ownership. We capture your cloud stack, Kubernetes or runtime model, CI/CD, infrastructure modules, developer portal, security requirements, current toil, and the adoption metric that would prove the platform is working.
Map the Developer Bottleneck
Within 24 hours, you receive profiles matched to your platform need. For Backstage and developer portals, we look for software catalog, templates, ownership metadata, and adoption. For Kubernetes platforms, we look for secure defaults, GitOps, policy, scaling, and observability. For CI/CD modernization, we look for pipeline speed, reliability, release gates, rollback, and developer ergonomics. Each profile explains the fit and likely first-week contribution.
Shortlist for Platform Product Fit
Use the interview to test developer workflows, CI/CD, infrastructure automation, Kubernetes design, service templates, observability, security defaults, and platform reliability. Strong prompts include: design a golden path for a new service; build a preview environment pattern; standardize secrets handling; create a software catalog ownership model; or reduce deployment lead time without lowering safety.
Interview for Paved-Road Judgement
NDA and IP assignment are completed before access. Then we set up repositories, cloud and cluster access, CI/CD, infrastructure modules, service standards, developer portal or catalog context, secrets tooling, observability stack, developer pain points, and the first platform bottleneck to improve.
Onboard With the Platform Surface
By day 7, you should see a developer-platform improvement: a service template, CI/CD fix, environment automation, infrastructure module, catalog metadata improvement, observability default, secrets workflow, rollback pattern, or clear platform roadmap with adoption notes and risk controls.
First Platform Proof Point
During the risk-free trial, you evaluate developer-experience judgement, automation quality, reliability discipline, security awareness, documentation, and ability to reduce friction for engineering teams. If the fit is wrong, we replace the engineer within 48 hours.
Trial Review on Developer Adoption

Platform Engineer: Engagement Options

Three transparent ways to engage. All rates are in USD and exclude taxes. No recruitment fees, no notice periods.

MVP

Backstage + Golden Path

$28,000

fixed

6 weeks, senior platform engineer

  • →Backstage stood up
  • →Two golden paths shipped
  • →Scorecards live
  • →Documentation + training
Talk to Sales

Embedded

Senior Platform Engineer

$5,200

/mo

Full-time, 5–10+ years

  • →Owns internal platform
  • →Drives golden paths
  • →AI path on platform
  • →Enables 10–100 internal devs
Talk to Sales

Platform Pod

Platform + SRE + DevSecOps

$15,500

/mo

3-person pod, 3–6 months

  • →Full IDP build
  • →Reliability + security baked in
  • →AI-ready by default
  • →Documentation + training
Talk to Sales

Where Platform Engineers Create Leverage

Platform Engineers create leverage when repeated infrastructure and delivery work is slowing product teams. The best platform work is reusable, secure by default, measurable, and easy enough that developers choose it voluntarily.

01.

Self-Service Deployments

Let teams deploy approved services through reusable workflows with environment provisioning, secrets access, policy checks, observability defaults, release notes, and rollback without waiting on platform tickets.

02.

Cloud Platform Standardization

Create reusable modules, account patterns, network baselines, IAM standards, policy checks, runtime defaults, cost tags, and service templates across cloud environments.

03.

Kubernetes Platform Builds

Design cluster foundations with GitOps, namespaces, ingress, autoscaling, resource controls, observability, secrets workflows, network policy, and secure defaults.

04.

CI/CD Modernization

Reduce flaky builds, slow pipelines, manual releases, long feedback loops, inconsistent artifacts, missing preview environments, and unreliable rollback processes.

What should change after you hire Platform Engineers

A CTO hires a Platform Engineer when delivery speed and operational consistency are now organization-level problems. The outcome is not another dashboard. The outcome is a platform capability product teams can actually use.

Outcome 01 A reusable platform path ships for one real developer workflow
+

The first outcome is a platform improvement that product teams can use: a golden path for creating a service, a self-service deployment workflow, a reusable Terraform module, a Kubernetes namespace pattern, a Backstage template, an observability default, or a faster CI/CD path. The work should reduce repeated human coordination and become a pattern other teams can adopt.

Evidence to expect: A developer-platform improvement with automation notes, ownership metadata, adoption path, reliability impact, security considerations, and follow-up backlog.

Outcome 02 Developer autonomy improves without losing control
+

The risk is not only slow delivery. The deeper risk is every team inventing its own path for infrastructure, secrets, deployment, observability, and rollback. We expect the engineer to reduce cognitive load while preserving context: developers get self-service paths, and platform teams keep standards, policy checks, ownership data, auditability, and operational visibility.

Evidence to expect: Expect known failure modes, security and access decisions, rollout plan, adoption risks, developer feedback points, and measurable platform health signals.

Outcome 03 Platform work becomes measurable
+

The engagement should be judged by deployment lead time, pipeline duration, developer self-service usage, change failure rate, mean time to recovery, onboarding time, service creation time, platform adoption, support ticket reduction, secrets and access incidents, and infrastructure drift. These signals help leadership see whether the platform is making teams faster and safer.

Evidence to expect: Expect a measurement plan, platform scorecards where useful, catalog metadata, adoption metrics, and a review cadence tied to developer outcomes.

Outcome 04 Your team keeps the platform operating model
+

A strong Platform Engineer leaves behind golden-path documentation, templates, module conventions, catalog metadata, CI/CD standards, access rules, observability patterns, rollback instructions, scorecards, runbooks, and ownership boundaries. This keeps the platform maintainable after the first improvement ships.

Evidence to expect: Expect architecture notes, decision records, docs-as-code, templates, runbooks, scorecard criteria, and handover material.

How to decide if Devlyn is the right partner for Platform Engineers

Choose us when

You need a platform capability that removes delivery friction for multiple developers or teams. Devlyn is a fit when the work needs both cloud-native engineering and internal product thinking.

Interview for

Ask candidates to design a golden path, explain service catalog metadata, improve pipeline reliability, define secure defaults, standardize observability, and measure developer adoption.

Expect clarity on

Expect clarity on developer users, platform scope, cloud and cluster access, service templates, catalog metadata, CI/CD ownership, security constraints, source-code access, IP assignment, review cadence, and what proof should exist by day 7.

Do not accept

Do not accept a generic DevOps shortlist, tool-first platform claims, no adoption plan, weak documentation discipline, unclear pricing, or a vendor who cannot explain how platform ownership will work after onboarding.

Delivery governance and risk control

Devlyn is positioned as a senior AI and software engineering partner, not a resume marketplace. You get structured onboarding, secure access, NDA and IP assignment support, communication overlap, replacement flexibility, and delivery governance built around the outcome you are hiring for.

For a Platform Engineer engagement, governance means service templates, access rules, secrets handling, pipeline standards, catalog metadata, platform ownership, and documentation keep teams aligned. The platform should make the approved path easier than the ad hoc path while keeping security, observability, cost, and reliability visible to the right owners.

Ready to Hire a Platform Engineer?

Share your delivery bottlenecks, cloud stack, developer workflow, and platform adoption goals. We will shortlist platform engineers who replace repeated infrastructure work with secure, observable, self-service systems.

Hire Platform Engineer Now Book a Free Consultation

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Frequently Asked Questions

Answers for CTOs, engineering leaders, product leaders, operators, and hiring managers comparing senior engineering capacity, delivery models, risk controls, and long-term ownership.

You can usually start the hiring conversation immediately and receive a shortlist within 24 hours after discovery. For this role, discovery focuses on developer friction: service creation, environment provisioning, deployment, observability, secrets, ownership, CI/CD, Kubernetes, cloud standards, and current platform adoption. That lets us shortlist Platform Engineers who match your internal platform need instead of generic infrastructure profiles.

Yes. You interview shortlisted engineers before committing. We recommend using practical platform scenarios: ask the candidate to design a golden path for a new service, define Backstage catalog metadata, improve a slow CI pipeline, standardize Kubernetes namespaces, set secure secrets defaults, or create a self-service environment workflow. Strong candidates explain adoption, governance, and developer experience as clearly as tools.

The first week should produce a concrete platform proof point or a very specific delivery plan. You might see a service template, CI/CD improvement, infrastructure module, developer portal catalog update, environment automation, observability default, secrets workflow, rollback pattern, or platform roadmap tied to one developer workflow. The proof should show how developers will use it and how the platform team will maintain it.

A strong Platform Engineer should deliver self-service capabilities that developers trust: repeatable service creation, safer deployment, standard infrastructure modules, secure secrets handling, useful service catalog metadata, default observability, documented ownership, and rollback paths. Outcomes should be measurable through deployment lead time, platform adoption, onboarding time, support tickets, change failure rate, mean time to recovery, and developer satisfaction.

Quality is managed through role-specific screening, systems interviews, architecture review, code and infrastructure review, documentation review, and delivery checkpoints. We look for experience with internal developer platforms, cloud infrastructure, Kubernetes, Terraform or OpenTofu, CI/CD, GitOps, Backstage, secrets, observability, policy as code, service ownership, and developer adoption. We also check whether the engineer treats the platform as a product with internal users.

Yes. The engineer can work with your repositories, CI/CD, cloud accounts, Kubernetes clusters, Terraform modules, Backstage or developer portal, observability stack, secret manager, service catalog, issue tracker, and documentation workflow. We define the operating model early so service templates, access rules, pipeline standards, platform ownership, and docs stay aligned.

Yes. Devlyn plans overlap windows for interviews, platform reviews, developer feedback sessions, security discussions, release planning, and escalation. For platform work, overlap matters because internal users need to review and adopt the paved road. We keep the cadence tied to proof: working workflow, adoption plan, reliability impact, documentation, and unresolved risks.

NDA and IP assignment are handled before onboarding. Access is scoped to the repositories, cloud accounts, clusters, CI/CD systems, secret managers, observability tools, developer portal, and infrastructure state required for the engagement. Platform work can affect production and security boundaries, so the engineer works inside your access controls, audit expectations, change-management process, and approval rules.

Use the risk-free trial to evaluate whether the engineer can reduce a real developer bottleneck, automate safely, document clearly, reason about security and reliability, and communicate tradeoffs with product teams and platform owners. If the fit is wrong, we replace the engineer within 48 hours instead of forcing you through a long notice period or another sourcing cycle.

Yes. You can start with one Platform Engineer for a focused golden path or CI/CD improvement, then expand if the platform surface is larger. Common additions include an SRE for reliability, a DevSecOps engineer for security controls, a cloud engineer for infrastructure depth, a frontend engineer for developer portal UX, or a product-minded technical lead for platform adoption.

Typical options include a Backstage plus golden-path sprint, a dedicated senior Platform Engineer, or a platform pod with SRE and DevSecOps support. The right model depends on whether you need a specific developer workflow improved, a full internal developer platform, Kubernetes foundations, CI/CD modernization, cloud standardization, or security-by-default platform work. We confirm scope after discovery.

We can support both models. If you already have strong platform leadership, the engineer can plug into your process. If you need more structure, Devlyn can add delivery oversight, sprint planning, developer feedback review, reporting, and senior technical review. For platform work, management is useful when it keeps internal users, security, reliability, and platform maintainers aligned on the same roadmap.

Platform Engineers are hard to screen because the role blends cloud infrastructure, DevOps, developer experience, security, observability, and internal product thinking. A candidate may know Kubernetes but not developer adoption, or know CI/CD but not platform governance. Devlyn reduces the screening burden and gives you a trial structure focused on evidence: can the engineer improve a real developer workflow inside your environment?

Devlyn is a better fit when platform work affects many teams, production systems, security, cost, reliability, developer onboarding, or long-term maintainability. A freelancer can help with a narrow automation task, but internal developer platforms need adoption, standards, documentation, governance, replacement support, and continuity beyond one script.

This role is best suited for internal developer platforms, self-service deployments, Backstage implementation, golden paths, cloud platform standardization, Kubernetes foundations, CI/CD modernization, infrastructure as code, preview environments, secrets and access workflows, developer portal adoption, and observability defaults. If the work is mostly application feature development, incident response, or security policy, we may recommend a more specialized role.