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Enterprise Platform Engineering

Platform Engineering Services That Accelerate Developer Velocity at Scale

We design, build, and operate internal developer platforms that give your engineering teams self-service access to infrastructure, golden paths, and tooling - reducing cognitive load and compressing lead time from weeks to hours. Our platform engineering consultants bring deep expertise in Backstage, Kubernetes platform design, service mesh, and developer experience across large, complex enterprise environments.

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500+
Enterprise Clients
10,000+
Engineers Deployed
50+
Countries Served
99.4%
CSAT Score
48h
Team Assembly
ISO 27001
Certified

The Challenge

Developer Toil is Throttling Your Engineering Organisation

As engineering organisations scale, the gap between infrastructure complexity and developer capability grows into a productivity crisis. Developers spend an increasing proportion of their time navigating bespoke toolchains, waiting for infrastructure provisioning, and deciphering inconsistent deployment practices rather than building product features. Without a coherent platform strategy, organisations accumulate technical debt in their developer experience that compounds with every new hire and every new service.

40%
of developer time lost to infrastructure toil in organisations without an IDP
3x
longer lead time for organisations lacking self-service platform capabilities
$2M+
annual productivity cost of fragmented toolchains in mid-size engineering organisations
68%
of engineers report that poor developer experience impacts their job satisfaction

Why QuickHire

Why Enterprises Choose QuickHire

01

Platform-as-a-Product Mindset

We treat your internal developer platform as a product with engineers as customers, applying rigorous product management disciplines to ensure the platform continuously delivers value. Developer NPS, adoption rates, and productivity metrics drive every roadmap decision.

02

Backstage Implementation Expertise

Our teams have deployed and customised Backstage across dozens of enterprise environments, building proprietary plugins, integrating enterprise identity providers, and populating service catalogs with thousands of services. We know the pitfalls and the patterns that work at scale.

03

Kubernetes Platform Architecture

We design multi-cluster Kubernetes platforms with namespace-as-a-service provisioning, policy enforcement, and workload identity that abstract away infrastructure complexity without sacrificing control. Our architectures are built for enterprise-grade reliability and compliance.

04

Golden Path Engineering

We craft opinionated software templates and scaffolding workflows that encode your organisation best practices for security, observability, and deployment. New services launch in minutes with every organisational standard already in place.

05

Security-First Platform Design

Security controls are embedded into platform abstractions and golden paths rather than bolted on as post-development gates. Policy-as-code, automated image scanning, and secrets management are platform defaults that application teams inherit automatically.

06

Measurable Developer Experience Improvement

We establish DORA baselines before engagement start and track deployment frequency, lead time, change failure rate, and recovery time throughout. Our engagements deliver demonstrable improvements in engineering throughput that are visible to leadership.

Challenges

Common Enterprise Pain Points

01

Fragmented Toolchains Create Organisational Debt

Organisations that allow each team to choose their own CI/CD tools, infrastructure provisioning methods, and deployment workflows accumulate toolchain sprawl that makes it impossible to enforce standards, move engineers between teams, or implement organisation-wide improvements efficiently. Each bespoke setup becomes a silo that resists standardisation and slows every cross-cutting initiative.

02

Infrastructure Teams Cannot Scale to Meet Developer Demand

Centralised infrastructure and operations teams become bottlenecks as organisations grow, fielding hundreds of provisioning requests that require manual review and approval. Without self-service capabilities, developer lead time is bounded by infrastructure team capacity regardless of how many engineers are hired.

03

Cognitive Load Degrades Engineering Quality

When developers must master Kubernetes resource definitions, cloud IAM policies, Terraform modules, and observability configuration alongside their product domain knowledge, the cognitive overhead degrades code quality and increases burnout. Platform engineering lifts this burden by providing higher-level, opinionated abstractions that encode organisational decisions correctly by default.

04

Inconsistent Practices Amplify Security and Compliance Risk

Without standardised deployment pipelines and infrastructure patterns, security controls are applied inconsistently across services, creating gaps that are difficult to audit and remediate. Compliance evidence collection becomes a manual, error-prone exercise when each team has implemented controls differently.

05

Onboarding New Engineers Takes Weeks Instead of Days

Organisations without a well-designed internal developer platform struggle to onboard new engineers efficiently, requiring weeks of informal knowledge transfer before a new hire can deploy their first change to production. Poor onboarding compounds attrition and slows the return on investment from every engineering hire.

Our Approach

A Purpose-Built Internal Developer Platform That Scales With Your Organisation

Our platform engineering practice designs and delivers internal developer platforms anchored in Backstage, Kubernetes, and infrastructure-as-code that give your development teams a consistent, self-service path from code to production. We apply platform-as-a-product thinking to ensure the platform drives adoption and delivers measurable improvements in engineering velocity, developer satisfaction, and operational reliability.

01

Developer Portal and Service Catalog

A production-grade Backstage deployment populated with your service catalog, integrated with your identity provider and toolchain, and extended with custom plugins that surface the information developers need most.

02

Self-Service Infrastructure and Golden Paths

Backstage software templates and scaffolding workflows that provision compliant, production-ready services - complete with CI/CD pipelines, observability, and secrets management - in minutes rather than days.

03

Kubernetes Platform and Service Mesh

A multi-cluster Kubernetes platform with namespace-as-a-service provisioning, policy enforcement, and optionally a service mesh layer that delivers mTLS, traffic management, and distributed tracing as platform capabilities.

04

Platform Observability and Developer Metrics

Pre-configured dashboards, alerting templates, and DORA metric tracking embedded into the platform so teams can measure and improve their delivery performance continuously against organisational targets.

Delivery Models

How We Deliver

Platform Foundation

Rapid delivery of a production-ready IDP foundation including Backstage deployment, service catalog population, two to three golden path templates, and Kubernetes platform hardening.

Timeline
8 weeks
Team Size
3-4 engineers
Full Platform Build

Comprehensive platform engineering engagement covering IDP, self-service infrastructure, service mesh, observability platform, and security policy automation with full documentation and team enablement.

Timeline
16 weeks
Team Size
5-7 engineers
Embedded Platform Team

Ongoing embedded platform engineering support that augments your internal team with experienced platform engineers who drive continuous platform improvement and capability expansion.

Timeline
Ongoing
Team Size
2-4 engineers

Capabilities

Technical Capability Matrix

Developer Portal and Catalog
Backstage deployment and customisation
Service catalog population and governance
Plugin development
TechDocs setup
Software templates and scaffolding
Kubernetes Platform
Multi-cluster architecture
Cluster API and Crossplane
Namespace-as-a-service
OPA Gatekeeper and Kyverno
Workload identity management
Infrastructure Automation
Terraform and Pulumi IaC
Self-service provisioning workflows
Cost attribution and guardrails
TTL-based resource cleanup
GitOps with Flux and ArgoCD
Observability and Developer Experience
OpenTelemetry instrumentation
Prometheus and Thanos
Distributed tracing with Tempo
DORA metrics dashboards
Backstage scorecards
Technology Stack
BackstageKubernetesCrossplaneIstioLinkerdArgoCDFluxTerraformVaultOpenTelemetryPrometheusOPA Gatekeeper
Industries Served
Financial ServicesInsuranceHealthcare and Life SciencesRetail and E-CommerceTechnology and SaaSMedia and PublishingTelecommunicationsManufacturing

Engagement Models

How We Engage

Choose the model that fits your programme governance, budget cycle, and team structure.

Staff Augmentation

Engineers embed directly under your management.

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Dedicated Developers

Full-time team aligned to your product roadmap.

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Managed Teams

End-to-end delivery with SLA-backed outcomes.

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Engineering Pods

Autonomous cross-functional pods per domain.

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Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

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Build-Operate-Transfer

We build and run it. You take ownership on schedule.

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Our Process

From Discovery to Delivery

1

Discovery and Assessment

Week 1

We conduct structured workshops with engineering leadership and developer teams to audit the current toolchain, measure toil and lead time, and identify the highest-value platform capabilities to prioritise.

2

Platform Architecture Design

Weeks 1-2

Our architects produce a detailed platform design covering IDP architecture, Kubernetes platform topology, self-service capability roadmap, and security control mapping - reviewed and approved by your engineering leadership.

3

Foundation Deployment

Weeks 3-6

We deploy Backstage and the Kubernetes platform foundation in your environment, establish CI/CD for the platform itself, and populate the service catalog with existing services.

4

Golden Paths and Self-Service Capabilities

Weeks 7-14

We build and release golden path templates, self-service infrastructure workflows, and Backstage plugins aligned with the prioritised roadmap, running regular developer feedback sessions throughout.

5

Enablement and Handover

Ongoing

We conduct structured knowledge transfer, publish platform runbooks in TechDocs, and provide retained support to ensure your internal team can operate and extend the platform confidently.

Free Scoping Call

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Security & Compliance

Enterprise-Grade Security by Default

ISO 27001 CertifiedSOC 2 Type II ReadyGDPR CompliantDPDP Act ReadyNDA on Day 1MSA AvailableIP Assignment ClausesEscrow Options

Governance

Programme Governance

Platform Product Council

A governing body including engineering leadership, platform team leads, and developer representatives that reviews the platform roadmap quarterly and prioritises capabilities based on adoption data and developer feedback.

Golden Path Review Process

A structured review and approval workflow for new and updated golden path templates that ensures security, compliance, and architectural standards are validated before templates are published to the developer portal.

Policy-as-Code Enforcement

All platform policies covering image provenance, network segmentation, resource quotas, and secrets handling are codified and enforced automatically at admission time, with policy violations logged for audit.

Platform SLA and On-Call

The platform team maintains defined SLAs for IDP availability and self-service provisioning, with a rotating on-call schedule and documented escalation paths for platform incidents.

Team Structure

Your Enterprise Team

Our platform engineering engagements are staffed with senior practitioners who have operated internal developer platforms in production at enterprise scale. Teams combine platform architects, Backstage specialists, Kubernetes platform engineers, and a platform product manager who owns developer experience metrics and roadmap alignment throughout the engagement.

Platform Engineering Lead
Backstage Developer
Kubernetes Platform Engineer
Infrastructure Automation Engineer
Service Mesh Specialist
Platform Security Engineer
Developer Experience Product Manager
Site Reliability Engineer

Project Lifecycle

From Kickoff to Production

Phase 01

Discovery and Audit

1-2 weeks

Toolchain audit report, developer experience survey results, toil measurement baseline, and prioritised platform capability roadmap.

Phase 02

Architecture and Design

1-2 weeks

Platform architecture document, Backstage customisation plan, Kubernetes platform topology, golden path specifications, and security control mapping.

Phase 03

Foundation Build

4-6 weeks

Production Backstage deployment, populated service catalog, Kubernetes platform with policy enforcement, and initial CI/CD pipeline templates.

Phase 04

Platform Expansion

6-10 weeks

Self-service infrastructure workflows, golden path templates, service mesh deployment, observability platform, and DORA metrics dashboards.

Phase 05

Enablement and Steady State

Ongoing

Platform runbooks in TechDocs, operator training, adoption reporting, roadmap refinement, and retained engineering support.

Case Studies

Enterprise Outcomes

Financial Services

A global bank with 800 developers was losing an estimated 35% of engineering capacity to infrastructure provisioning delays and inconsistent deployment practices across 12 product lines.

We delivered a Backstage-powered IDP with self-service environment provisioning, eight golden path templates covering microservices and data pipelines, and Kubernetes namespace-as-a-service across three cloud regions.

62%reduction in lead time for changes within six months of platform launch
Insurance and InsurTech

A rapidly scaling InsurTech needed to onboard 150 new engineers over 12 months without degrading delivery quality or overwhelming a small platform team.

We built a developer portal with guided onboarding workflows, automated developer environment provisioning, and a comprehensive service catalog that reduced new engineer time-to-first-deployment from three weeks to two days.

87%faster new engineer onboarding with consistent quality
Retail and E-Commerce

A large retailer operating 400 microservices had no consistent observability or service ownership visibility, making incident response slow and costly during peak trading periods.

We deployed Backstage with a fully populated service catalog, implemented OpenTelemetry-based observability as a platform default, and built Backstage scorecards that tracked SLO compliance and ownership completeness for every service.

45%reduction in mean time to restore during production incidents

FAQ

Frequently Asked Questions

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Hiring Models

One platform, two ways to hire

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QuickHire Enterprise

Building a long-term engineering team?

Dedicated developers, managed engineering pods, onsite and remote teams - all with MSA, NDA, SLA, compliance documentation, and a dedicated account manager.

  • Dedicated developer or pod
  • Staff augmentation at scale
  • Managed team with SLA
  • Enterprise AI, cloud, or security teams

Monthly, quarterly, or annual engagements.

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  • Production bug or outage
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