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DevOps and Platform Engineering

Enterprise DevOps Services That Accelerate Delivery Without Sacrificing Reliability

We help engineering organizations transform their software delivery capability through battle-tested CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and GitOps practices. Every engagement is anchored to DORA metrics so you can measure the business impact of every improvement.

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

The Challenge

Slow, fragile delivery pipelines are costing your organization more than engineering time

Enterprise software teams frequently operate pipelines that were designed for a different era - manual deployment steps, environment inconsistencies, and siloed infrastructure ownership that makes every release a high-stakes event. The result is longer lead times, more change-related incidents, and engineering talent spending the majority of their capacity on toil rather than product innovation.

63%
of enterprise incidents are caused by deployment failures in manual pipelines
4x
longer lead times in organizations without mature CI/CD practices
$2.4M
average annual cost of deployment-related downtime per enterprise team
8x
more deployment frequency in elite DevOps performers versus low performers

Why QuickHire

Why Enterprises Choose QuickHire

01

Pipeline-First Engineering

We design CI/CD pipelines as production-grade systems with the same rigor applied to application code. Every pipeline is version-controlled, tested, and documented to the same standard as the software it ships.

02

Infrastructure as Code by Default

All infrastructure is defined in Terraform or Pulumi from day one, eliminating configuration drift and enabling consistent environment provisioning across development, staging, and production.

03

Kubernetes Expertise at Scale

Our engineers have operated Kubernetes clusters supporting hundreds of services across multi-cloud and hybrid environments. We design for reliability, security, and cost efficiency from the cluster level to the pod level.

04

DORA Metrics as the North Star

We baseline your DORA metrics before any change is made and track improvement throughout the engagement. This ensures every investment in DevOps tooling is tied to measurable delivery performance outcomes.

05

Security Embedded in Every Pipeline

DevSecOps practices are integrated at every stage - code scanning, container image scanning, secrets detection, and policy-as-code - so security is a property of the pipeline rather than a final checkpoint.

06

Embedded Knowledge Transfer

We work alongside your engineers throughout the engagement rather than delivering a handover at the end. Internal capability is built in parallel with the tooling so your team is fully self-sufficient at project close.

Challenges

Common Enterprise Pain Points

01

Release Bottlenecks and Manual Deployment Risk

Manual deployment processes and environment inconsistencies create release bottlenecks that slow time-to-market and introduce human error risk. Organizations operating without fully automated pipelines frequently experience change failure rates three to four times higher than industry benchmarks, directly impacting customer-facing availability and engineering morale.

02

Infrastructure Drift and Configuration Inconsistency

Environments that are managed manually or through ad hoc scripting accumulate configuration drift over time, making it difficult to reproduce issues, onboard new team members, or scale reliably. The absence of infrastructure as code creates hidden operational debt that compounds with every new service or environment added to the estate.

03

Container Adoption Without Operational Readiness

Many enterprises have adopted Docker and Kubernetes at the development level without establishing the operational practices required to run containers safely in production. Gaps in RBAC design, network policy, resource quotas, and observability create security and reliability risks that are not apparent until an incident occurs.

04

Security and Compliance Gaps in Delivery Pipelines

Traditional enterprise change management processes were not designed for high-frequency deployments and often create friction that forces teams to batch changes or bypass controls. Building compliance into the pipeline itself - through automated evidence collection, policy enforcement, and audit-ready change records - is necessary to reconcile speed with governance requirements.

05

Fragmented Toolchains Across Teams and Business Units

Large organizations commonly operate multiple disconnected CI/CD toolchains, cloud accounts, and deployment patterns across different teams and business units. This fragmentation increases operational overhead, prevents the sharing of platform capabilities, and makes it difficult to establish organization-wide reliability standards.

Our Approach

A structured DevOps transformation framework that delivers measurable improvement at every phase

Our enterprise DevOps practice combines deep technical expertise with a structured engagement methodology that phases value delivery so your organization sees improvement throughout the program rather than only at the end. We align every technical decision to your business outcomes and governance requirements, ensuring the platform we build can be operated and evolved by your internal teams indefinitely.

01
CI/CD Pipeline Modernization
Design and implement production-grade pipelines on GitHub Actions, GitLab CI, Jenkins, or Azure DevOps with automated testing, security scanning, environment promotion, and rollback capabilities built in from the start.
02
Infrastructure as Code Adoption
Migrate your infrastructure to Terraform or Pulumi with modular, reusable configurations, remote state management, drift detection, and policy-as-code guardrails that enforce security and cost standards automatically.
03
Kubernetes and Container Orchestration
Design, provision, and harden Kubernetes clusters on EKS, AKS, GKE, or on-premises environments with production-ready configurations covering RBAC, network policies, resource management, and observability.
04
GitOps and Progressive Delivery
Implement GitOps delivery workflows using ArgoCD or Flux with progressive delivery patterns - blue/green, canary, and feature flags - that reduce deployment risk and provide automated rollback on failure.

Delivery Models

How We Deliver

Fixed-Scope Transformation

A bounded engagement with defined deliverables, timelines, and acceptance criteria - ideal for CI/CD modernization or Kubernetes platform buildouts with a clear target state.

Timeline
8-24 weeks
Team Size
3-6 engineers
Dedicated Platform Engineering Team

An embedded team of senior DevOps and platform engineers that operates as an extension of your engineering organization, owning platform evolution on a continuous basis.

Timeline
Ongoing
Team Size
4-8 engineers
Advisory and Staff Augmentation

Senior DevOps engineers embedded within your existing teams to accelerate specific initiatives, fill capability gaps, or provide architectural oversight during a critical program.

Timeline
4-12 weeks
Team Size
1-3 engineers

Capabilities

Technical Capability Matrix

CI/CD Pipelines
GitHub ActionsGitLab CIJenkinsAzure DevOps PipelinesTektonCircleCIBuildkite
Infrastructure as Code
TerraformPulumiAWS CDKAnsibleCrossplaneTerragrunt
Container Orchestration
Kubernetes EKS AKS GKEHelmKustomizeAWS ECSArgoCDFluxIstio
Observability and Security
PrometheusGrafanaDatadogOpenTelemetryTrivySnykOPA Gatekeeper

Engagement Models

How We Engage

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

01

Staff Augmentation

Engineers embed directly under your management.

Learn more →
02

Dedicated Developers

Full-time team aligned to your product roadmap.

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03

Managed Teams

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

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04

Engineering Pods

Autonomous cross-functional pods per domain.

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05

Offshore Dev Centre

Permanent engineering base in India. Full IP ownership.

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06

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

Days 1-5

We conduct a structured assessment of your current delivery pipeline, infrastructure practices, toolchain, and team capabilities to establish a maturity baseline and identify the highest-impact improvement opportunities.

2

Architecture Design and Roadmap

Week 2

Based on assessment findings, we produce a target-state architecture, phased implementation roadmap, and tool selection recommendations aligned to your business constraints and compliance requirements.

3

Foundation Build

Weeks 3-6

Core platform components are built and validated in a non-production environment - CI/CD pipelines, IaC modules, Kubernetes cluster configuration, and observability stack - with your engineers paired throughout.

4

Production Onboarding and Migration

Weeks 7-16

Workloads are migrated to the new platform using a phased approach with automated rollback capabilities. Each workload is validated against defined acceptance criteria before production traffic is shifted.

5

Stabilization and Handover

Weeks 17-20

A dedicated stabilization period addresses any operational issues surfaced post-migration, knowledge transfer is completed, and your team is formally signed off as operationally self-sufficient.

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Security & Compliance

Enterprise-Grade Security by Default

✓ISO 27001 Certified✓SOC 2 Type II Ready✓GDPR Compliant✓DPDP Act Ready✓NDA on Day 1✓MSA Available✓IP Assignment Clauses✓Escrow Options

Governance

Programme Governance

✓

DORA Metrics Dashboard

A real-time dashboard tracking Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service provides continuous visibility into delivery performance throughout and after the engagement.

✓

Policy-as-Code Enforcement

OPA/Gatekeeper and tfsec rules enforce security, compliance, and cost policies automatically at the pipeline and admission control level, preventing non-compliant configurations from reaching production.

✓

Change Management Integration

Pipeline integrations with ServiceNow or Jira Service Management automate change record creation, approval workflows, and post-deployment evidence collection to satisfy enterprise change advisory board requirements.

✓

Architecture Decision Records

Every significant technical decision is documented in an architecture decision record stored in your version control system, providing a traceable history of design choices and the rationale behind them.

Team Structure

Your Enterprise Team

Our DevOps practice is staffed by senior platform engineers and architects with hands-on experience operating large-scale Kubernetes environments, multi-cloud infrastructure, and high-frequency CI/CD pipelines across regulated industries. All engineers hold relevant cloud and Kubernetes certifications and have contributed to enterprise DevOps programs at scale.

✓DevOps Architect
✓Platform Engineer
✓Site Reliability Engineer
✓Infrastructure Engineer
✓DevSecOps Engineer
✓Kubernetes Specialist
✓CI/CD Pipeline Engineer
✓FinOps Engineer

Project Lifecycle

From Kickoff to Production

01
1-2 weeks

Assessment

Maturity assessment report, DORA metrics baseline, prioritized improvement backlog, tool selection recommendations.

02
1-2 weeks

Architecture and Design

Target-state architecture document, IaC module design, pipeline design specifications, security and compliance requirements matrix.

03
3-6 weeks

Foundation Build

Working CI/CD pipelines, IaC module library, Kubernetes cluster configuration, observability stack, policy-as-code rules.

04
4-10 weeks

Migration and Onboarding

Migrated workloads, traffic cutover runbooks, validated rollback procedures, per-service capacity models.

05
Ongoing

Stabilization and Handover

Updated runbooks, knowledge transfer sessions, operational sign-off checklist, 30-day post-handover support.

Case Studies

Enterprise Outcomes

Financial Services

A tier-1 bank was experiencing a 34% change failure rate due to manual deployment processes across 200+ microservices.

We implemented GitHub Actions pipelines with automated testing gates, policy-as-code enforcement, and ArgoCD GitOps delivery, reducing the deployment process from 4 hours to 12 minutes per service.

91%reduction in change failure rate within 6 months
Healthcare Technology

A healthcare SaaS provider needed to achieve HIPAA-compliant Kubernetes operations without disrupting a 99.9% SLA.

We designed and deployed a hardened EKS platform with OPA/Gatekeeper admission controls, automated compliance evidence collection, and progressive delivery patterns that eliminated deployment risk.

$1.8Mannual operational cost savings from infrastructure consolidation
Retail and E-Commerce

A global retailer needed to scale deployment frequency from monthly to daily releases ahead of peak trading season.

We built a self-service internal developer platform on Kubernetes with golden path templates, automated environment provisioning, and canary deployment capabilities that allowed teams to ship independently.

12xincrease in deployment frequency with zero peak-season incidents

Start Your Engagement

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Hiring Models

One platform, two ways to hire

Not ready for a long-term commitment? QuickHire Instant lets you book a vetted engineer in 10 minutes - no contracts required.

Both models use the same vetted talent network · PM always included · Multi-country billing

Frequently Asked Questions

An enterprise DevOps transformation engagement covers assessment of your current delivery pipeline, CI/CD pipeline design and implementation, infrastructure as code adoption, container orchestration setup, and DORA metrics baselining. We also address organizational change management, team enablement, and governance frameworks to ensure the transformation is sustainable. Engagements are scoped based on your existing maturity, target state, and the complexity of your application portfolio. Deliverables typically include runbooks, architecture decision records, and hand-off training for your internal teams.
We support GitHub Actions, GitLab CI, Jenkins, CircleCI, Azure DevOps Pipelines, and Tekton, among others. Tool selection is driven by your existing version control platform, compliance constraints, cloud provider alignment, and team familiarity rather than vendor preference. For example, organizations already on GitHub Enterprise typically benefit most from GitHub Actions due to native integration and reduced operational overhead. We provide a structured evaluation matrix and proof-of-concept comparisons before committing to a toolchain.
We begin with an inventory and dependency mapping exercise to identify which components are candidates for IaC adoption and which require phased migration. Terraform and Pulumi are our primary tools; we select between them based on your language preferences, state management requirements, and multi-cloud footprint. For legacy systems that cannot be fully automated immediately, we implement a hybrid approach that brings new environments under IaC while maintaining stability in production. Drift detection and policy-as-code guardrails are established early to prevent configuration drift from re-emerging.
GitOps is a delivery model where the desired state of your infrastructure and applications is stored in Git, and automated reconciliation loops continuously enforce that state in your environments. It is particularly well-suited for organizations operating Kubernetes at scale, where manual deployments introduce risk and audit gaps. Tools such as ArgoCD and Flux provide the reconciliation engine, while Git serves as the single source of truth and audit trail. GitOps becomes especially valuable when regulatory compliance requires full traceability of every change deployed to production.
DORA metrics - Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Time to Restore Service - are the industry-standard framework for measuring software delivery performance. We instrument your pipelines and incident management systems to collect these metrics automatically from day one, establishing a baseline before any changes are made. Improvement targets are set based on your current classification (Elite, High, Medium, or Low performer) and business objectives. Monthly reviews track progress and inform prioritization of subsequent engineering investments.
Yes. Our approach uses a parallel-run strategy where new containerized workloads are onboarded to Kubernetes while existing production services continue running on their current platform. Traffic migration is performed gradually using blue/green or canary patterns with automated rollback capabilities. We design cluster architecture, namespace isolation, RBAC policies, and network policies before any workload is migrated. A detailed runbook and capacity model are produced for each service to ensure operations teams are fully prepared prior to cutover.
Security is integrated at every stage of the pipeline rather than applied as a final gate. This includes SAST and DAST scanning, container image vulnerability scanning with tools such as Trivy or Snyk, secrets detection to prevent credential leakage, and software composition analysis for open-source dependencies. Infrastructure as code is validated against security benchmarks using tools such as Checkov or tfsec before any resource is provisioned. Policy-as-code frameworks such as OPA/Gatekeeper enforce cluster admission controls and prevent non-compliant workloads from being deployed.
Multi-cloud and hybrid environments require a unified control plane strategy to avoid toolchain fragmentation. We design pipelines that are cloud-agnostic at the orchestration layer, using Terraform workspaces or Pulumi stacks to manage per-cloud configurations from a single codebase. Kubernetes provides a consistent compute abstraction across AWS EKS, Azure AKS, and GCP GKE. Observability is unified through a single monitoring stack so that engineering teams have a consistent operational experience regardless of which cloud is hosting a given workload.
A successful DevOps transformation requires active participation from engineering leadership, platform or infrastructure engineers, application developers, and security stakeholders. An internal DevOps program owner or platform engineering lead is essential to drive decision-making and organizational alignment. We embed our consultants alongside your teams throughout the engagement rather than delivering in isolation, which accelerates knowledge transfer and ensures internal capability is built in parallel with the tooling. Post-engagement, a small internal platform engineering team is typically sufficient to operate and evolve the systems we put in place.
Scope and duration depend on your current maturity, application portfolio size, and the breadth of change required. A focused CI/CD modernization for a single application cluster typically takes 6 to 10 weeks. A full enterprise DevOps transformation covering multiple teams, cloud environments, and governance frameworks typically spans 16 to 24 weeks. We structure engagements in iterative phases so that value is delivered incrementally rather than at the end of a long program. Each phase concludes with a working capability that your teams can begin operating immediately.
Knowledge transfer is a first-class deliverable in every engagement, not an afterthought. We conduct paired programming and shadowing sessions throughout the build phase, produce comprehensive runbooks and architecture decision records, and deliver structured enablement workshops tailored to your team roles. Platform documentation is written and maintained in your own repositories so it is immediately accessible and version-controlled alongside the code it describes. A defined handover milestone includes a sign-off checklist confirming your team can perform all critical operational tasks without external support.
We support SOC 2, ISO 27001, PCI DSS, HIPAA, and FedRAMP compliance requirements within DevOps pipeline design. Compliance controls are implemented as pipeline guardrails and policy-as-code rules rather than manual review processes, which ensures consistency and auditability at scale. Change management workflows are integrated with your ITSM platform - ServiceNow or Jira Service Management - to produce the audit trails required for regulated environments. Automated evidence collection reduces the manual burden on your compliance team during audit cycles.
Yes. We integrate CI/CD pipelines with ServiceNow, Jira, PagerDuty, and other ITSM platforms to automate change record creation, deployment notifications, and incident correlation. This integration ensures that every production deployment is traceable to a change ticket and that rollback actions are automatically logged. Automated change advisory board workflows can be configured to require approval gates for high-risk deployments while allowing pre-approved low-risk changes to proceed without manual intervention. These integrations are particularly valuable in enterprises with strict change management policies.
Cost optimization is embedded in the infrastructure as code design from the outset rather than addressed as a reactive measure. We implement resource tagging strategies, automated right-sizing recommendations, and environment scheduling policies to eliminate idle spend. Terraform modules are designed with cost-aware defaults such as appropriate instance families and reserved capacity configurations. FinOps dashboards integrated with your CI/CD pipeline provide cost visibility per deployment, enabling engineering teams to understand the financial impact of infrastructure changes before they reach production.
Observability is a core component of every DevOps engagement and covers logs, metrics, traces, and real user monitoring. We implement the OpenTelemetry standard for instrumentation to avoid vendor lock-in, with backends such as Prometheus, Grafana, Datadog, or New Relic depending on your preferences and existing investments. Alerting is designed around service level objectives rather than raw thresholds, reducing alert fatigue and improving signal quality. Pipeline-level observability tracks deployment frequency, lead time, and failure rates in real time, feeding directly into your DORA metrics dashboard.
We offer three engagement models: a fixed-scope project model for well-defined transformations with clear deliverables and timelines, a dedicated team model for ongoing platform engineering and continuous improvement programs, and a staff augmentation model for organizations that need senior DevOps engineers to embed within their existing teams. Fixed-scope projects are priced based on scope and complexity following a discovery workshop. Dedicated team and staff augmentation models are priced on a monthly retainer basis with transparent role-level rates. All models include defined governance checkpoints and deliverable milestones to ensure accountability.
Industries
Financial ServicesHealthcareRetail and E-CommerceTechnology and SaaSManufacturing