Do you know

By 2026, 80% of large software engineering organizations will have platform engineering teams - up from 45% in 2022.

Trusted by 150+ Enterprise Development Teams

Infosys TCS Capital One Honeywell Swiggy HCL Verizon
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SOC 2 Certified
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95% Client Satisfaction

Enterprise Platform Engineers

What You Can Build With Platform Engineers

Hire platform engineers to solve the bottleneck that kills velocity at scale: developers spending hours on infrastructure instead of building product. These are the systems where fragile pipelines, inconsistent environments, and absent self-service tooling cost you sprint after sprint. Our platform engineers integrate with your existing engineering team to build production platforms that developers actually use.

Internal Developer Platform (IDP) From Scratch

Build an internal developer platform where product engineers self-serve environments, deploy services, and access infrastructure without opening a single ticket. Your current state, developers waiting two days for a staging environment, kills momentum and drives attrition. We design the platform architecture, implement a Backstage-based service catalog, build golden paths for your most common workflows, and integrate with your existing cloud provider and secrets management. Adoption matters. We do not build platforms nobody uses. Your teams get environment spin-up in under 5 minutes, service discovery in one portal, and onboarding time cut from 2 weeks to 3 days.

Tech Stack:

Backstage Crossplane Kubernetes AWS / GCP / Azure HashiCorp Vault Terraform ArgoCD

Outcome

Environment provisioning under 5 min | Developer onboarding from 14 days to 3 days | Zero infrastructure tickets for standard workflows

CI/CD Platform Engineering and Pipeline Automation

Build a CI/CD platform that treats pipelines as product, not plumbing. When each squad owns its own ad-hoc pipeline, you get version drift, security gaps, and 45-minute build times that block releases. We design a centralized pipeline architecture with reusable pipeline libraries, enforce policy-as-code at the pipeline level, instrument every stage with build time tracking, and implement automated rollback for failed deployments. No magic required. Just reproducible, fast, observable pipelines. Your teams ship 3x faster when infrastructure stops being the bottleneck.

Tech Stack:

GitHub Actions Tekton Jenkins X Argo CD Argo Workflows Helm OPA (Open Policy Agent) SonarQube Snyk

Outcome

Build times under 10 minutes | 90%+ pipeline success rate | Zero manual deployment approvals for standard services

Developer Experience (DevEx) Tooling and Portals

Build the tooling layer that turns a good engineering team into a great one. DevEx is not ping-pong tables. It is the difference between developers spending 30% of their week navigating infrastructure and spending it building. We audit your current developer workflow, identify the highest-friction points, and build targeted tooling: CLI scaffolding, self-service portals, onboarding automation, and documentation systems that stay current. The gap between a new hire's first day and first meaningful commit is your recruiting ROI. We reduce it. Significantly.

Tech Stack:

Backstage Port Cortex TypeScript CLI Tooling GitHub Copilot Integration Confluence Automation Slack Bots

Outcome

Developer onboarding time reduced 60% | Infrastructure ticket volume down 70% | Developer NPS score measurably improved

Cloud Infrastructure Abstraction Layer

Build a cloud abstraction layer that lets your product teams consume infrastructure without understanding it. Each team learning AWS from scratch is expensive, inconsistent, and a security liability. We design a cloud-agnostic infrastructure API using Crossplane or Terraform CDK, implement standardized modules for the most common infrastructure patterns, and expose them through your IDP. Product teams get guardrails, not gatekeepers. Platform engineers maintain compliance at the layer below. Your audit trail is automatic.

Tech Stack:

Crossplane Terraform CDK Pulumi AWS Control Tower GCP Organization Policies Azure Blueprints Azure Blueprints

Outcome

Self-service infrastructure for 95% of standard requests | Security policy enforcement automated | Cloud cost visibility per team

Legacy DevOps to Platform Engineering Migration

Migrate from ad-hoc DevOps scripts to a structured, product-minded platform. The legacy state is clear: bash scripts held together with documentation nobody reads, tools owned by individuals, and onboarding that depends entirely on tribal knowledge. We use a phased migration approach. We do not flip the switch overnight. We map existing workflows, identify the 20% of capabilities delivering 80% of value, build them into the platform first, and migrate teams incrementally. Production never stops. Migrations complete in 8-16 weeks depending on complexity.

Tech Stack:

Terraform Pulumi Argo CD GitHub Actions DORA Metrics Instrumentation Backstage Prometheus Grafana

Outcome

Zero-downtime migration | DORA metrics baseline established | Deploy frequency increased 3x in first 90 days

Multi-Cloud Platform Orchestration

Build a platform that spans AWS, GCP, and Azure without creating a maintenance nightmare. Multi-cloud is not a strategy; it is a constraint many enterprises inherit through M&A or regulatory requirements. We design the abstraction architecture that prevents cloud lock-in at the application layer, implement policy-as-code that enforces compliance across providers, and build the observability stack that gives you a unified view. Your platform team manages one control plane, not three. Your product teams do not think about which cloud they are deploying to.

Tech Stack:

Crossplane Terraform Cloud Pulumi Kubernetes Federation Prometheus Grafana Datadog OPA Vault

Outcome

Single control plane across 2-3 cloud providers | Policy enforcement automated | Infra costs visible and attributable per team

Compliance-Embedded Platform Engineering

Build compliance into the platform, not around it. In regulated industries, fintech, healthcare, government, the standard approach is bolt-on compliance: audit the system after it is built and retrofit controls. That is expensive and slow. We design the platform so compliant behavior is the default path. SOC 2 controls are infrastructure-level. HIPAA audit trails are built into the CI/CD pipeline. GDPR data residency policies are enforced at the cloud abstraction layer. Your developers cannot accidentally violate policy because the platform does not allow it. See our work with fintech teams on our

Tech Stack:

OPA Gatekeeper Falco Vault AWS Config GCP Security Command Center Terraform Sentinel Aqua Security Twistlock

Outcome

SOC 2 Type II audit passed in 6 weeks | Zero compliance incidents post-launch | Automated evidence collection for audits

AI/ML Infrastructure Platform

Build the platform layer that makes AI/ML development reproducible and production-ready. Most organizations discover too late that getting a model to production is 20% data science and 80% infrastructure. We build the ML platform: experiment tracking, model registry, feature store integration, GPU cluster orchestration, and reproducible pipeline templates. Your data scientists stop caring about Kubernetes. They care about models. The platform handles the rest. By 2027, Gartner predicts 70% of organizations with platform teams will include GenAI capabilities in their internal developer platforms. The infrastructure work starts now.

Tech Stack:

Kubeflow MLflow Argo Workflows Ray NVIDIA GPU Operator Feast (Feature Store) DVC Weights & Biases

Outcome

Model-to-production time reduced from 6 weeks to 10 days | Experiment reproducibility 100% | GPU utilization improved 40%

Build an internal developer platform where product engineers self-serve environments, deploy services, and access infrastructure without opening a single ticket. Your current state, developers waiting two days for a staging environment, kills momentum and drives attrition. We design the platform architecture, implement a Backstage-based service catalog, build golden paths for your most common workflows, and integrate with your existing cloud provider and secrets management. Adoption matters. We do not build platforms nobody uses. Your teams get environment spin-up in under 5 minutes, service discovery in one portal, and onboarding time cut from 2 weeks to 3 days.

Tech Stack:

Backstage Crossplane Kubernetes AWS / GCP / Azure HashiCorp Vault Terraform ArgoCD

Outcome

Environment provisioning under 5 min | Developer onboarding from 14 days to 3 days | Zero infrastructure tickets for standard workflows

Build a CI/CD platform that treats pipelines as product, not plumbing. When each squad owns its own ad-hoc pipeline, you get version drift, security gaps, and 45-minute build times that block releases. We design a centralized pipeline architecture with reusable pipeline libraries, enforce policy-as-code at the pipeline level, instrument every stage with build time tracking, and implement automated rollback for failed deployments. No magic required. Just reproducible, fast, observable pipelines. Your teams ship 3x faster when infrastructure stops being the bottleneck.

Tech Stack:

GitHub Actions Tekton Jenkins X Argo CD Argo Workflows Helm OPA (Open Policy Agent) SonarQube Snyk

Outcome

Build times under 10 minutes | 90%+ pipeline success rate | Zero manual deployment approvals for standard services

Build the tooling layer that turns a good engineering team into a great one. DevEx is not ping-pong tables. It is the difference between developers spending 30% of their week navigating infrastructure and spending it building. We audit your current developer workflow, identify the highest-friction points, and build targeted tooling: CLI scaffolding, self-service portals, onboarding automation, and documentation systems that stay current. The gap between a new hire's first day and first meaningful commit is your recruiting ROI. We reduce it. Significantly.

Tech Stack:

Backstage Port Cortex TypeScript CLI Tooling GitHub Copilot Integration Confluence Automation Slack Bots

Outcome

Developer onboarding time reduced 60% | Infrastructure ticket volume down 70% | Developer NPS score measurably improved

Build a cloud abstraction layer that lets your product teams consume infrastructure without understanding it. Each team learning AWS from scratch is expensive, inconsistent, and a security liability. We design a cloud-agnostic infrastructure API using Crossplane or Terraform CDK, implement standardized modules for the most common infrastructure patterns, and expose them through your IDP. Product teams get guardrails, not gatekeepers. Platform engineers maintain compliance at the layer below. Your audit trail is automatic.

Tech Stack:

Crossplane Terraform CDK Pulumi AWS Control Tower GCP Organization Policies Azure Blueprints Azure Blueprints

Outcome

Self-service infrastructure for 95% of standard requests | Security policy enforcement automated | Cloud cost visibility per team

Migrate from ad-hoc DevOps scripts to a structured, product-minded platform. The legacy state is clear: bash scripts held together with documentation nobody reads, tools owned by individuals, and onboarding that depends entirely on tribal knowledge. We use a phased migration approach. We do not flip the switch overnight. We map existing workflows, identify the 20% of capabilities delivering 80% of value, build them into the platform first, and migrate teams incrementally. Production never stops. Migrations complete in 8-16 weeks depending on complexity.

Tech Stack:

Terraform Pulumi Argo CD GitHub Actions DORA Metrics Instrumentation Backstage Prometheus Grafana

Outcome

Zero-downtime migration | DORA metrics baseline established | Deploy frequency increased 3x in first 90 days

Build a platform that spans AWS, GCP, and Azure without creating a maintenance nightmare. Multi-cloud is not a strategy; it is a constraint many enterprises inherit through M&A or regulatory requirements. We design the abstraction architecture that prevents cloud lock-in at the application layer, implement policy-as-code that enforces compliance across providers, and build the observability stack that gives you a unified view. Your platform team manages one control plane, not three. Your product teams do not think about which cloud they are deploying to.

Tech Stack:

Crossplane Terraform Cloud Pulumi Kubernetes Federation Prometheus Grafana Datadog OPA Vault

Outcome

Single control plane across 2-3 cloud providers | Policy enforcement automated | Infra costs visible and attributable per team

Build compliance into the platform, not around it. In regulated industries, fintech, healthcare, government, the standard approach is bolt-on compliance: audit the system after it is built and retrofit controls. That is expensive and slow. We design the platform so compliant behavior is the default path. SOC 2 controls are infrastructure-level. HIPAA audit trails are built into the CI/CD pipeline. GDPR data residency policies are enforced at the cloud abstraction layer. Your developers cannot accidentally violate policy because the platform does not allow it. See our work with fintech teams on our

Tech Stack:

OPA Gatekeeper Falco Vault AWS Config GCP Security Command Center Terraform Sentinel Aqua Security Twistlock

Outcome

SOC 2 Type II audit passed in 6 weeks | Zero compliance incidents post-launch | Automated evidence collection for audits

Build the platform layer that makes AI/ML development reproducible and production-ready. Most organizations discover too late that getting a model to production is 20% data science and 80% infrastructure. We build the ML platform: experiment tracking, model registry, feature store integration, GPU cluster orchestration, and reproducible pipeline templates. Your data scientists stop caring about Kubernetes. They care about models. The platform handles the rest. By 2027, Gartner predicts 70% of organizations with platform teams will include GenAI capabilities in their internal developer platforms. The infrastructure work starts now.

Tech Stack:

Kubeflow MLflow Argo Workflows Ray NVIDIA GPU Operator Feast (Feature Store) DVC Weights & Biases

Outcome

Model-to-production time reduced from 6 weeks to 10 days | Experiment reproducibility 100% | GPU utilization improved 40%

DO YOU KNOW

Developers spend 32% of their week on non-coding tasks. At a 40-hour week, that is 12.8 hours not building product. A well-built internal developer platform recovers 8-10 of those hours per developer per week.

32% of growth time is lost to internal overhead

Source: Atlassian 2024 Developer Report

TECHNICAL EXPERTISE

Technical Expertise Our Platform Engineers Bring

Our platform engineers average 7.8 years of infrastructure and platform experience. Production deployments in at least two domains: fintech, healthcare, SaaS, or enterprise software. Every engineer is vetted for system design thinking and the ability to make architectural decisions under real production pressure, not just configure tools from documentation.

7.8 years avg experience
72% AWS certified
58% GCP certified
65% CKA/CKAD certified
85%+ test coverage standard
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Kubernetes and Container Orchestration

Platform engineers who understand Kubernetes at the operator level, not just the user level. Most engineers can deploy to Kubernetes. Few can design multi-tenant cluster architecture, implement custom operators, and debug a production cluster that is silently degrading. Our engineers understand kube-scheduler internals, have written custom admission webhooks, and have debugged etcd performance under load. They design for reliability. Cluster autoscaling that does not leave you with cold-start latency spikes. Pod disruption budgets that protect production during rolling upgrades. Resource quotas that prevent noisy-neighbor failures. These details determine whether your platform holds up under load or fails during an incident.

Kubernetes (v1.27+) AWS EKS / Google GKE / Azure AKS Helm 3 Kustomize Operator SDK Kubebuilder Prometheus Operator Karpenter
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CI/CD Pipeline Architecture and Automation

CI/CD expertise beyond clicking buttons in a pipeline UI. The gap between a functional pipeline and a reliable one is architecture. A pipeline that fails 8% of the time at scale costs you more than you save on developer time. Our engineers design pipeline-as-code architectures with reusable pipeline libraries, implement policy gates at each stage (SAST, DAST, secret scanning, image signing), and instrument the entire pipeline for observability. They measure pipeline health the way you measure application health: MTTR, failure rate, p99 build time. Every pipeline they build has a runbook. No black boxes.

GitHub Actions GitLab CI Tekton Jenkins X Argo CD Argo Workflows OPA (Open Policy Agent) SonarQube Snyk Sigstore (Cosign)
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Infrastructure as Code (IaC) and GitOps

IaC and GitOps as an operational discipline, not a tooling choice. The goal is a system where every infrastructure change is auditable, reversible, and reviewable. Our engineers design Terraform module libraries that encode your organizational standards, implement drift detection that alerts before drift becomes an incident, and build the GitOps workflow where cluster state and repository state stay in sync. Terraform at scale requires state management, workspace strategy, and module versioning discipline. Our engineers have built Terraform setups managing thousands of resources across dozens of accounts. Messy IaC is technical debt. We fix it.

Terraform (1.5+) Terragrunt Pulumi Crossplane Flux v2 Argo CD Atlantis Spacelift AWS CDK OpenTofu
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Internal Developer Portal and Platform Design

IDP design that prioritizes developer adoption, not administrative completeness. Backstage is not a platform. Backstage is a frontend for a platform. Many organizations discover this after 12-18 months of Backstage implementation with 10% adoption. Our engineers understand the difference between building a catalog and building a platform. They design the golden paths first, then the portal. They instrument adoption: DAU, feature usage, time-to-task. If nobody uses the portal, it is not a platform. It is documentation with better UI. We build for adoption from day one.

Backstage Port Cortex Roadie TypeScript Plugin Development Crossplane Providers REST / GraphQL Plugin APIs
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Cloud Platform Integration (AWS, GCP, Azure)

Cloud-native platform engineering across all three major providers. Not every engineer is truly multi-cloud. Many have deep AWS expertise and surface-level GCP experience, or vice versa. We match engineers to your actual cloud footprint. For AWS-primary teams: VPC design, service control policies, Control Tower, Landing Zone Accelerator. For GCP: Organization policies, Anthos, GKE Autopilot, Google Cloud Build. For Azure: Management Groups, Azure Policy, AKS, Azure DevOps integration. For multi-cloud: the abstraction layer that prevents any provider from being a single point of failure for your platform.

AWS (EKS, ECS, Lambda, IAM, Control Tower) Google Cloud (GKE, Anthos, Cloud Run) Microsoft Azure (AKS, Azure Policy, Management Groups) Crossplane
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Observability, Monitoring and Alerting

Observability architecture that gives your teams answers, not dashboards. The standard outcome of a poorly designed observability stack is alert fatigue: 300 alerts, 10 meaningful ones, zero time to find which is which. Our engineers design structured logging with correlation IDs from day one, implement distributed tracing across service boundaries, and build SLO-driven alerting that pages humans for customer impact, not system noise. Dashboards are a last resort for questions you did not know to ask. Proper observability means you know the answer before the dashboard loads.

Prometheus Grafana OpenTelemetry Jaeger Datadog Loki Tempo Alertmanager PagerDuty Honeycomb DORA Metrics
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Security, Compliance and Policy Enforcement

Platform-level security that enforces policy without blocking velocity. Security as an afterthought costs 10x more than security as a platform feature. Our engineers implement policy-as-code using OPA Gatekeeper or Kyverno, so compliant behavior is the default, not the exception. They integrate secret scanning into the pipeline before secrets hit the repository. They implement SBOM generation for supply chain compliance. They design the RBAC model that gives teams autonomy within auditable boundaries. SOC 2, HIPAA, PCI: platform engineering compliance is a specialty, not a checklist.

OPA Gatekeeper Kyverno Falco HashiCorp Vault SPIFFE / SPIRE Trivy Snyk Cosign (Sigstore) CIS Benchmarks NIST Controls

PLATFORM EVOLUTION

Platform Engineering Evolution: Why It Matters for Your Project

Platform engineering is not just another DevOps rebrand. It is a fundamental shift in how software organizations scale: from each team owning their own infrastructure to dedicated platform teams who treat infrastructure as a product serving internal customers. Understanding where platform engineering sits in the current landscape helps you make informed decisions about when and how to invest. Here is how the discipline has matured.

Pre-2018

Manual Operations Era

Legacy

Infrastructure was a ticket queue. Developers submitted requests; operations teams provisioned manually. Timelines were weeks. The organizational model was clear: Dev builds, Ops runs. The result was predictable: slow release cycles, high blame culture, and infrastructure teams as a bottleneck. Most organizations still running legacy monoliths trace their technical debt to this era. If you are migrating off this model now, you are in good company. The migration takes 12-18 months done properly.

2018-2020

DevOps and SRE Adoption

Foundation

DevOps culture spread, but implementation was inconsistent. Every team built their own pipelines. The result: 50 variations of the same workflow, none of them well-maintained. Site Reliability Engineering gave us the vocabulary for production reliability. SLOs, error budgets, toil reduction. But SRE practices at Google do not translate directly to a 50-engineer startup. Many organizations over-hired SREs without the platform foundation to support their work. The lesson: DevOps culture without platform infrastructure is expensive and brittle.

2021-2022

Internal Developer Platform Emergence

Maturing

The term internal developer platform entered mainstream engineering vocabulary. Spotify open-sourced Backstage in 2020. Teams started asking the right question: why is infrastructure so hard for product engineers? Early IDP adopters built self-service portals, golden paths, and reusable infrastructure modules. Adoption was mixed. Many IDPs were built before organizations understood what developers actually needed. The lesson of this era: build the golden paths first, the portal second.

2023-2024

Platform Engineering Mainstream

Current LTS

Gartner named platform engineering a top strategic technology trend in both 2023 and 2024. The community grew to 24,000+ members. Platform engineering job postings increased 5x. Enterprise organizations moved from experimentation to production investment. The first Gartner Hype Cycle dedicated entirely to platform engineering launched. By 2024, 55% of platform teams were less than 2 years old, meaning most organizations are still early in their platform maturity curve. This is where most of our clients are when they reach us.

2025+

I-Native Platform Engineering

Latest / Active

Platform engineering is now the required substrate for AI/ML at scale. By 2027, Gartner projects that 70% of organizations with platform teams will include GenAI capabilities in their internal developer platforms. AI-native platforms treat model serving, experiment tracking, and feature stores as first-class platform primitives. Platform engineers in 2025 need to understand GPU cluster orchestration, model registry design, and ML pipeline automation, not just Kubernetes and Terraform. This is the frontier. The organizations investing now will have a 12-18 month advantage.

TECHNOLOGY FIT ASSESSMENT

When Platform Engineering Is the Right Investment (And When It Isn't)

Platform engineering is not right for every organization at every stage. Here is an honest assessment of when to invest and when to wait, based on patterns across 2,000+ projects. For teams weighing platform engineering against a more traditional DevOps structure, our DevOps engineers page covers that comparison directly.

Invest in Platform Engineering When:

  • Below 20 engineers, shared infrastructure tooling can be maintained informally. Above 20, inconsistency becomes a real productivity drain. Each team inventing their own pipeline, their own deployment process, their own secrets management. The overhead compounds with each new hire. Platform engineering pays for itself when you can amortize the platform team cost across enough product engineers. General rule: 1 platform engineer for every 8-12 product engineers.

  • Series B funding typically triggers a 2-3x headcount growth over 18 months. If your infrastructure is not ready, your deployment frequency drops while your team size grows. The counter-intuitive outcome: more engineers, slower releases. Platform engineering built before the headcount spike prevents this. The window between funding and scale-up is the right time to build the platform. After the scale-up, the cost of building it under load is significantly higher.

  • If your product teams cannot deploy independently, on demand, your platform is a bottleneck. Weekly or bi-weekly deployment cycles in 2025 are a competitive disadvantage. If the constraint is confidence, not business process, platform engineering solves it: automated testing gates, canary deployment infrastructure, and rollback automation that makes frequent deployment safe.

  • SOC 2, HIPAA, PCI, and FedRAMP compliance require documentation, audit trails, and policy enforcement that is extremely difficult to retrofit. Platform engineering built with compliance as a first-class concern generates audit evidence automatically. Security controls are infrastructure-level, not application-level. For our fintech and healthcare clients, the platform pays for itself in the first audit cycle.

Do NOT Invest in Platform Engineering When:

  • The overhead of maintaining a platform exceeds the benefit at small team sizes. Use managed services instead: AWS App Runner, Heroku, Render, or Railway. Add platform complexity only when you can feel the absence of it. Premature platform investment is a well-known startup failure mode. Use a DevOps contractor or shared DevOps service instead.

    • Platform engineering multiplies the velocity of teams deploying many services frequently. A single-product company with a mature monolith may not need an IDP. The investment makes more sense as you move toward microservices or multi-product. A senior DevOps engineer or SRE may be the right hire for your stage.

      • Before product-market fit, iteration speed depends on decision-making and learning cycles, not deployment frequency. If your engineers are spending time talking to customers and rewriting features weekly, a robust platform is overkill. Solve for product clarity first. Platform investment pays off when you are scaling something that is working, not discovering what works.

        • A platform nobody adopts is infrastructure cost with no ROI. Platform engineering requires an internal champion: someone who collects feedback, drives adoption, and treats the platform as a product. If that internal product owner does not exist or cannot be resourced, the platform will be built and ignored. Our team can serve as fractional platform owners, but you need buy-in at the VP Engineering level minimum.

Ask yourself: do your product engineers spend more than 20% of their week on infrastructure tasks they should not have to own? If yes, platform engineering is a productivity investment, not an expense. We help you make that decision based on 2,000+ project patterns across engineering organizations from Series A to Fortune 500.

"

"Their platform engineers work at a level of depth I rarely see from external teams. They understood our compliance requirements before we finished explaining them, and they built the IDP architecture we had been attempting internally for 18 months. We had our first golden path in production in 6 weeks. The difference was that they had done this before."

Marcus Thornton

VP of Platform Engineering

Series C Healthcare SaaS Company | 3.5 years working together

WHY CHOOSE HIREDEVELOPER

Why Forward-Thinking CTOs Choose HireDeveloper

500+
Developers Placed
2,000+
Projects Delivered
40%
Efficiency Gain
5 Star
Client Satisfaction

We do not hire engineers who passed the CKA exam last month and list Kubernetes on their LinkedIn. We hire platform engineers who have shipped production IDPs, managed multi-tenant Kubernetes clusters under real traffic, and debugged infrastructure failures at 2am. Every candidate completes a take-home platform design challenge: design an IDP for a 50-engineer team with specific constraints around compliance and cloud provider. Not fizzbuzz. Top 1% acceptance rate. Average accepted candidate: 7.8 years of infrastructure and platform experience.

Your product teams ship 40% faster because our platform engineers understand what slows down engineering organizations before they write code. They profile your CI/CD pipeline before optimizing it. They benchmark environment provisioning times before redesigning the workflow. They instrument developer task completion rates before building tooling. No assumptions. Every platform decision is grounded in data about what your developers actually experience. This is the difference between a platform that gets used and one that gets ignored.

We maintain specialists across internal developer platforms, pipeline architecture, and Kubernetes operations. Engineers understand golden path design, Backstage plugin development, and IDP adoption strategies. They have deployed multi-tenant Kubernetes clusters serving 50,000+ pods, CI/CD pipelines processing 1,000+ daily deployments, and IDPs used by 200+ developers. Platform specialists, not generalists with a platform chapter in their resume.

Every platform engineering engagement starts with an architecture review. We map your existing tooling, identify integration points, understand your deployment patterns. Platform engineers join your standups, use your tools, follow your workflows. Your team expands, not fragments. We do not build the platform in isolation and hand it over in a Confluence page.

ISO 27001 certified. SOC 2 Type II available on request. Zero security incidents in 3 years. 47+ enterprise audits passed. $2M professional liability plus $1M E&O plus cyber insurance coverage. Background checks on every engineer: criminal, education, employment verification. Platform engineering clients in regulated industries have additional options: dedicated environments, enhanced background checks, and SOC 2 evidence packages for their own audits.

4-8 hours overlap with US, EU, or APAC time zones. Core hours availability for standups and incident response. Async handoffs documented. Platform incidents do not wait for business hours and neither do our engineers.

Dedicated platform team at monthly rate. Staff augmentation for specific competencies. Fixed-price for defined platform projects. Scale up with 1-2 weeks notice. Scale down with 2 weeks notice. No long-term contracts required.

If a platform engineer does not meet your expectations within the first two weeks, we replace them at no additional cost. We also conduct regular check-ins at Days 14, 30, and 60 to address concerns before they become problems. You are never stuck with the wrong person.

TEAM INTEGRATION TIMELINE

How Our Platform Engineers Integrate With Your Team

Realistic timeline from first contact to production platform code

12 Days from hello to code
Day 1-2 requirements mapping, tech stack review, compliance
Day 3-4 Platform engineer profiles shared, you interview candidates
Day 5 Contracts signed, Day 0 setup begins (access provisioning, environment setup)
Day 6-7 Engineer onboards, joins standups, reviews existing infrastructure and codebase
Day 8-12 First production PR merged, infrastructure code reviewed and deployed
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Discovery

  • Requirements call
  • Existing platform audit
  • Team structure mapping
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Matching

  • Engineer profiles shared
  • You conduct technical interviews
  • Platform design assessment
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Onboarding

  • Contracts signed
  • Access setup and security provisioning
  • Tooling configured
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Shipping

  • First infrastructure PR merged
  • Production code delivered
  • Ongoing platform iteration
Start Your Team Integration

How We Use AI in Delivery

AI IN DELIVERY

Faster Shipping, Not Replacement

AI assists our platform engineers at specific decision points. It does not replace their judgment. .

GitHub Copilot GitHub Copilot
20-30% faster code completion

Boilerplate Terraform modules, YAML configuration, test scaffolding, documentation stubs

Architecture decisions, security-critical policy code, custom controller logic
GitHub Copilot Cursor AI
3 weeks to 2 weeks ramp time

USED FOR: Codebase Q&A for complex platform repositories, context-aware IaC suggestions, onboarding acceleration

NOT USED FOR: Critical platform decisions, production infrastructure changes without verification
GitHub Copilot ChatGPT/Claude
Faster unblocking on research tasks

USED FOR: API documentation lookup, Kubernetes debugging patterns, Terraform edge case explanations

NOT USED FOR: Unverified copy-paste into production, security configurations without review
GitHub Copilot Tabnine
Privacy-first option for sensitive

USED FOR: IP-sensitive platform projects, local model inference, air-gapped or regulated environments

NOT USED FOR: Replacing human judgment in architecture decisions

How AI Actually Speeds Development

AI Does Well (We Use)
  • Documentation generation for platform components
  • Terraform boilerplate and module scaffolding
  • YAML configuration validation and linting
  • Repetitive Kubernetes manifest generation
  • Pipeline YAML drafting and test scaffolding
  • Regex and shell script completion
AI Struggles (Humans Handle)
  • Documentation generation for platform components
  • Terraform boilerplate and module scaffolding
  • YAML configuration validation and linting
  • Repetitive Kubernetes manifest generation
  • Pipeline YAML drafting and test scaffolding
  • Regex and shell script completion

Real Impact on Your Project

Measured Q4 2024 across 50+ projects

45% Documentation
40% IaC Scaffolding
30% Refactoring
25% Feature Dev
15% Debugging

SECURITY & IP PROTECTION

Security & IP Protection

Enterprise-grade security for regulated industries

ISO 27001:2013
Certified
SOC 2 Type II
Available
0 Incidents
in 3 Years
47+ Enterprise
Audits Passed
$2M + $1M E&O +
Cyber Insurance

Code ownership assigned to you before repository access is granted. Work-for-hire agreements standard. No retained rights. Your platform code is your code.

Criminal background check, education verification, employment history validation, reference checks. Every platform engineer, no exceptions. Reports available on request.

Secure office facilities with monitored access. Dedicated devices for client work. USB ports disabled. Screen recording available for compliance-sensitive engagements.

MFA required for all systems. VPN-only access to client infrastructure. 4-hour access revocation guarantee. Role-based permissions reviewed monthly. Platform engineers access only what they need for their scope.

Full infrastructure code handover at engagement end. No vendor lock-in. Complete documentation transfer. Knowledge transfer sessions included. You walk away with everything: code, documentation, and runbooks.

Platform Engineers Pricing & Rates

Real Rates, Real Experience

We focus on Exprience+
Junior

Entry Level

1-3 years experience

$2.5-$3.5K /month

Needs supervision.

Click to See Skill

Skills

  • Component creation
  • Template syntax
  • Basic routing
  • Angular CLI usage
Click to flip back
WE SHIP

Experienced

4-7 years experience

$3.5-$5K /month

Works independently

Click to see skills

Skills

  • Reactive Forms
  • RxJS operators
  • Lazy loading
  • Unit testing with Jest
Click to flip back
WE SHIP

Expert

8+ years experience

$6-8.5K /month

Mentors team

Click to see skills

Mentors team

  • NgRx state management
  • Performance optimization
  • CI/CD pipelines
  • System design
Click to flip back
WE SHIP

Architect

10+ years experience

$8.5-12K+ /month

Owns architecture

Click to see skills

Skills

  • Micro frontend architecture
  • Platform engineering
  • Team leadership
  • Enterprise patterns
Click to flip back

We focus on senior+ platform engineers who ship production-grade infrastructure. For projects requiring junior developers with heavy supervision, we recommend local contractors or bootcamp partnerships where you can provide direct oversight.

See full pricing breakdown

RATE BREAKDOWN

What Is Included in the Rate

$6,000/month Senior Platform Engineer

$ $6,000/month /mo
Developer Compensation: $3,200
Benefits (health, PTO, insurance): $800
Equipment (laptop, monitors): $200
Infrastructure (office, internet): $400
Management overhead: $600
Replacement insurance: $300
$3,480
Developer Compensation
58%
$900
Benefits and Insurance
15%
$240
Equipment and Software
4%
$420
Infrastructure and Tools
7%
$660
Management Overhead
11%
$300
Replacement Insurance
5%
No Hidden Fees
No Setup Fees
No Exit Fees
Our Rate

Our Rate: $6,000/month Senior Platform Engineer

$6,000/month /month
  • Predictable monthly cost
  • All-inclusive: no hidden fees
  • Full-time dedicated resource
  • Replacement guarantee included
  • Management and quality review included
  • SOC 2 and compliance documentation included
Predictable. Transparent.
VS
Freelance Reality

Freelance Alternative: $30/hr/hr Freelancer

$7,000/month
  • Advertised: $4,800/month (160 hours)
  • Reality: $7,000-8,000/month after:
  • Management overhead (your time)
  • Rework cycles (quality variance)
  • Communication overhead (timezone gaps)
  • Replacement costs (if they leave)
High risk. Hidden costs...
The cheapest option is rarely the most economical. Platform engineering mistakes compound: a poorly designed IDP costs 3-5x more to rebuild than to build correctly the first time.

CASE STUDIES

Recent Outcomes

See how engineering teams like yours solved platform engineering challenges. For more detail on our engagement models, visit our dedicated developers service page.

The Challenge

  • A 65-engineer team with no shared infrastructure tooling. Each squad owned its own pipeline, its own deployment scripts, its own secrets management approach.
  • New engineers took 3 weeks to become productive. The infrastructure tribal knowledge lived in 3 engineers' heads.
  • Timeline: 12 weeks to first production IDP before Series C investor roadshow.

Our Approach

  • Week 1-2: Conducted developer workflow audit. Identified the top 5 pain points by time-cost. Designed IDP architecture prioritizing those 5 use cases.
  • Week 3-8: Built golden paths for service deployment, environment provisioning, and secrets access. Implemented Backstage service catalog with 100% service coverage.
  • Week 9-12: Migrated 8 of 12 squads to the new platform. Instrumented adoption metrics. Built runbooks for the remaining 4 squads to self-migrate.
Fintech Series B Startup, 65 Engineers

Verified Outcomes

"They built the platform we had been planning for 18 months, in 12 weeks. They understood that adoption was the metric, not build completeness."

VP Engineering, Series B Fintech Startup

The Challenge

  • Needed SOC 2 Type II certification for an enterprise contract requiring audit within 6 months. Existing infrastructure had no audit trail, inconsistent access controls, and no evidence collection processes.
  • HIPAA PHI handling in the pipeline required immediate remediation. Security team had identified 12 critical findings.
  • Platform team of 4 could not absorb the compliance workload alongside normal platform roadmap.

Our Approach

  • Week 1-2: Security and compliance audit of existing platform. Mapped existing controls to SOC 2 criteria. Identified gaps by severity.
  • Week 3-10: Implemented OPA Gatekeeper policies for SOC 2 access controls. Built automated evidence collection pipeline. Deployed Vault for secrets management. Implemented RBAC model reviewed by external auditor.
  • Week 11-16: Audit preparation, documentation, and evidence packaging. Supported external auditor during the 2-week audit.
Healthcare Technology Series C, 120 Engineers

Verified Outcomes

"The compliance work they delivered was production-grade from day one. Our auditor commented that our control documentation was unusually thorough for a startup."

CTO, Series C Healthcare SaaS

The Challenge

  • 7-year-old DevOps setup with 40+ individual pipelines, 200+ Terraform scripts with no module structure, and deployment processes that only 4 engineers fully understood.
  • New hires took 5 weeks to reach productivity. The infrastructure was a bus-factor risk at the VP Engineering level.
  • Zero-downtime migration required. Production releases could not pause for platform rebuilding.

Our Approach

  • Phase 1 (Weeks 1-4): Full audit of existing tooling. Map dependencies. Identify the 30% of capabilities delivering 80% of value. Build migration plan.
  • Phase 2 (Weeks 5-16): Rebuild core CI/CD infrastructure with reusable pipeline libraries. Migrate 60% of services using strangler pattern. Document everything.
  • Phase 3 (Weeks 17-24): Migrate remaining services. Decommission legacy tooling. Implement observability for the new platform. Hand over to internal team with full runbook coverage.
Enterprise Software Company Type: 250+ Engineer Organization

Verified Outcomes

"We had tried to migrate this infrastructure twice internally over 3 years. They did it in 24 weeks without disrupting production once."

Director of Platform Engineering, Enterprise Software Company

QUICK FIT CHECK

Are We Right For You?

Answer 5 quick questions to see if we're a good match

1
2
3
4
5

Question 1 of 5

Is your project at least 3 months long?

Offshore teams need 2-3 weeks to ramp up. Shorter projects lose 25%+ of timeline to onboarding.

FROM OUR EXPERTS

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Frequently Asked Questions About Hiring Platform Engineers

How quickly can I hire platform engineers through HireDeveloper?

We match you with pre-vetted platform engineers within 48 hours of receiving your requirements. After you interview and approve candidates, typically 1-2 days, engineers can start onboarding within 5 days. Most teams have their first production infrastructure PR merged by Day 12. This assumes you have requirements documented. If you need help defining your platform scope, add 3-5 days for a discovery sprint at no additional cost.

What is your vetting process for platform engineers?

Four-stage vetting: (1) Technical assessment covering Kubernetes cluster design, CI/CD architecture, IaC patterns, and IDP design principles. (2) Live system design interview with a platform-specific scenario, for example design an IDP for a 100-engineer team with SOC 2 requirements. (3) English communication assessment via video call. (4) Background verification: criminal, education, employment history. Top 1% of applicants pass. Average accepted candidate: 7.8 years of platform and infrastructure experience. We reject engineers who have only completed cloud certifications without production deployments, regardless of certification count.

Can I interview platform engineers before committing?

Yes, always. We share 2-3 candidate profiles with detailed technical backgrounds, production deployment history, and communication samples. You conduct your own interviews: technical screens, system design sessions, take-home platform challenges. No commitment until you approve. If none of the initial candidates fit, we source additional candidates at no additional cost.

How much does it cost to hire a platform engineer?

Monthly rates by experience level: Junior (1-3 years) $2,500-$3,500, Mid-level (4-7 years) $3,500-$5,000, Senior (8+ years) $5,000-$7,000, Lead/Architect (10+ years) $7,000-$10,000+. All rates are fully loaded: compensation, benefits, equipment, infrastructure, management, and replacement insurance. No hidden fees. No setup costs. The rate you see is the rate you pay. For reference, the average US platform engineer salary is $143,000-$172,000/year (Kube Careers Q1 2025), making our offshore dedicated model 40-60% of equivalent US in-house cost.

What is included in the monthly rate?

Everything required for the engineer to be productive: base salary and benefits, health insurance, equipment (laptop, monitors, peripherals), software licenses including cloud provider access, secure office infrastructure, management overhead, and replacement insurance. You pay one predictable monthly amount. We do not charge for onboarding, knowledge transfer, or reasonable scope clarification calls. 90%+ of our engagements run on standard rates with no add-ons.

Are there any hidden fees or setup costs?

No. Zero setup fees. Zero onboarding charges. Zero surprise invoices. The monthly rate covers everything for standard engagements. If you require additional services like dedicated compliance training, specialized security clearance, or on-site visits, we quote those separately and upfront before you commit.

What platform engineering tools and versions do your engineers work with?

Our platform engineers work with current production versions across: Kubernetes (1.27+, EKS/GKE/AKS), Terraform (1.5+) and OpenTofu, Argo CD and Flux v2 for GitOps, Backstage for IDP portals, Crossplane for cloud-native resource management, Helm 3 and Kustomize, OPA and Kyverno for policy-as-code, Prometheus, Grafana, and OpenTelemetry for observability. Tool preference is matched to your existing stack. If you are on a specific version for compliance reasons, we find engineers with that experience.

Can your engineers work with our existing platform stack?

Yes. During discovery, we map your current tooling, deployment patterns, CI/CD pipeline, and integration points. We prioritize engineers with direct experience in your specific stack. If exact match is unavailable (rare for common stacks), we select engineers with adjacent experience and provide targeted 1-week ramp-up. You approve the match before we start.

What is the minimum engagement period?

We recommend 3 months minimum. Platform engineering produces compounding value: the first month is ramp-up and architecture, the second is implementation, the third is adoption and iteration. Shorter engagements are possible for tightly scoped work, for example an IDP audit or a CI/CD pipeline performance review, but require upfront scope definition. Month-to-month is available after the initial 3-month period. We do not lock you into annual contracts.

Can I scale the team up or down?

Yes, with reasonable notice. Scale up: 1-2 weeks notice. We maintain a pre-vetted bench of platform engineers across common specializations: Kubernetes, Terraform, Backstage, and compliance-focused platform work. Scale down: 2 weeks notice, allowing proper handoff. No penalties for team size changes. If you need to scale to zero, 2 weeks notice and we handle clean exit: code handover, documentation, and knowledge transfer sessions. You are never stuck.