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Managed DevOps and SRE

Managed DevOps Services for Enterprise Engineering Teams

We embed senior DevOps and SRE engineers directly into your product organisation, taking operational ownership of CI/CD pipelines, infrastructure automation, release management, and 24/7 on-call coverage. Engagements are structured for 12-plus months so reliability and velocity improvements compound into measurable business outcomes.

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

The Challenge

Engineering velocity stalls when DevOps is an afterthought

Enterprise engineering teams routinely lose 30 to 40 percent of productive capacity to manual release processes, flaky pipelines, undocumented infrastructure, and reactive incident response. Without dedicated DevOps ownership, toil accumulates faster than product teams can address it, deployment windows shrink, and every production incident becomes a multi-day distraction from roadmap delivery.

38%
of engineer time lost to operational toil
4.5x
longer incident recovery without SRE practices
$2.4M
average annual cost of poor deployment reliability
61%
of enterprises miss release targets due to pipeline gaps

Why QuickHire

Why Enterprises Choose QuickHire

01

Outcome-Based Accountability

We own SLO attainment, deployment frequency targets, and MTTR commitments - not just effort. Your VP of Engineering has a peer partner accountable for operational results, not a resource pool awaiting direction.

02

Accelerator Library

We bring battle-tested pipeline templates, runbook libraries, incident frameworks, and infrastructure modules accumulated across 200-plus DevOps engagements. Your program starts weeks ahead of a build-from-scratch approach.

03

DORA Metric Transparency

Deployment frequency, lead time, change failure rate, and MTTR are tracked weekly and reported to your leadership in a shared live dashboard. Progress is always visible and never self-reported.

04

Security and Compliance Embedded

DevSecOps controls including SAST, DAST, secret scanning, and compliance policy enforcement are integrated into every pipeline from day one. Regulatory frameworks including SOC 2, PCI-DSS, and HIPAA are first-class concerns.

05

Cloud-Agnostic Expertise

Our engineers hold certifications across AWS, Azure, and GCP and have managed multi-cloud Kubernetes estates at enterprise scale. You are never locked into a single vendor perspective or toolchain preference.

06

Embedded Team Culture

Our engineers attend your standups, participate in sprint planning, and join your Slack channels. They operate as colleagues with operational ownership, not external vendors behind a ticketing system.

Challenges

Common Enterprise Pain Points

01

Pipeline Fragility and Build Failures

Flaky CI pipelines with intermittent test failures, slow build times, and poorly maintained deployment scripts create developer frustration and erode confidence in automated delivery. Engineers work around broken automation rather than fixing it, creating a debt spiral that compounds over time.

02

Reactive Incident Response

Without defined SLOs, error budgets, and on-call structures, production incidents are handled reactively by whoever is available. Mean time to restore is measured in hours or days rather than minutes, and postmortems either do not happen or fail to prevent recurrence.

03

Infrastructure Drift and Undocumented Environments

Manually provisioned infrastructure and undocumented environment configurations create hidden dependencies that cause production incidents and make disaster recovery unpredictable. Compliance audits become expensive exercises in archaeology rather than routine evidence collection.

04

Release Bottlenecks and Infrequent Deployments

Batch release cycles with manual approval gates and multi-day change-freeze windows slow feature delivery and concentrate risk into large, high-stakes deployments. Product teams lose competitive agility while the business waits for monthly release windows.

05

Cloud Cost Overruns

Without continuous cost governance, cloud spend grows faster than revenue in engineering-heavy organisations. Untagged resources, over-provisioned instances, and idle development environments consume budget that should fund product development.

Our Approach

Embedded DevOps and SRE teams that own reliability as a measurable outcome

Our managed DevOps program places a dedicated team of DevOps architects, senior engineers, SRE leads, and a program manager inside your engineering organisation. We take operational ownership of your CI/CD estate, infrastructure platform, and on-call rotation while continuously transferring knowledge to your internal engineers. The result is compounding improvement in deployment frequency, reliability, and developer experience quarter over quarter.

01
CI/CD Pipeline Engineering
End-to-end ownership of build, test, and deployment pipelines including design, implementation, maintenance, and ongoing performance optimisation across all environments.
02
Infrastructure Platform Automation
All infrastructure managed as code with automated provisioning, drift detection, compliance scanning, and cost governance integrated from the first sprint.
03
SRE and On-Call Operations
Full SRE practice implementation including SLO definition, error budget tracking, 24/7 on-call coverage, incident management, and blameless postmortem facilitation.
04
Release Management and Governance
Release train orchestration, feature flag management, canary and blue/green deployment automation, and audit-ready change management documentation.

Delivery Models

How We Deliver

Foundation Sprint

Rapid audit, gap analysis, and critical remediation of your highest-risk pipeline and infrastructure issues.

Timeline
4 weeks
Team Size
2-3 engineers
Embedded Program

Full managed DevOps team embedded with your engineering organisation, owning operations and driving continuous improvement across CI/CD, infrastructure, and reliability.

Timeline
12-24 months
Team Size
4-8 engineers
Platform Engineering Team

Dedicated internal developer platform build and operate program, delivering golden path tooling, self-service infrastructure, and developer experience improvements at scale.

Timeline
6-18 months
Team Size
5-10 engineers

Capabilities

Technical Capability Matrix

CI/CD and Automation
GitHub ActionsGitLab CIJenkinsArgoCDTektonSpinnakerBuildkiteCircleCI
Infrastructure as Code
TerraformPulumiAnsibleAWS CDKCrossplaneHelmKustomizePacker
Observability and SRE
PrometheusGrafanaOpenTelemetryDatadogPagerDutyElastic StackJaegerLoki
Container and Cloud Platforms
KubernetesDockerAWS EKSAzure AKSGKEIstioLinkerdContainerd

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 Audit

Days 1-5

We conduct a structured audit of your CI/CD pipelines, infrastructure state, on-call processes, and observability coverage, producing a gap analysis and prioritised remediation roadmap.

2

Baseline and Onboarding

Week 2

SLIs, SLOs, and DORA metric baselines are established. Our engineers are integrated into your Slack, Jira, PagerDuty, and version control systems with appropriate access controls.

3

Critical Remediation

Weeks 3-6

The highest-risk pipeline and infrastructure gaps identified in the audit are addressed in the first sprint, delivering immediate stability improvements and reducing operational risk.

4

Continuous Improvement Program

Months 2-12

Bi-weekly sprints deliver systematic improvements across CI/CD performance, infrastructure automation, reliability, and developer experience with weekly DORA metric reporting.

5

Knowledge Transfer and Optimisation

Ongoing

Continuous documentation, pair programming, and community of practice sessions ensure your internal team grows in capability alongside the managed program.

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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

✓

Weekly DORA Metrics Dashboard

Deployment frequency, lead time, change failure rate, and MTTR reported weekly in a shared live dashboard accessible to all engineering and product stakeholders.

✓

Monthly Operational Reviews

Structured review of SLO attainment, error budget consumption, incident trends, and sprint delivery against roadmap commitments with your engineering leadership.

✓

Quarterly Business Reviews

Executive-level review of 90-day performance trends, cost optimisation outcomes, and strategic initiatives planned for the next quarter.

✓

Change Management and Audit Trail

All infrastructure changes, pipeline modifications, and release decisions are logged with full traceability to tickets and approvers, supporting compliance audit requirements.

Team Structure

Your Enterprise Team

A managed DevOps engagement is staffed with a Lead DevOps Architect who owns the technical strategy and roadmap, senior DevOps engineers responsible for pipeline and infrastructure delivery, an SRE Lead who manages reliability practices and on-call operations, and a DevOps Program Manager who runs the sprint cadence and executive reporting. Larger programs include a Cloud Security Engineer for DevSecOps integration and a FinOps Specialist for cost governance.

✓Lead DevOps Architect
✓Senior DevOps Engineer
✓SRE Lead
✓DevOps Program Manager
✓Cloud Security Engineer
✓FinOps Specialist
✓Platform Engineer
✓Release Manager

Project Lifecycle

From Kickoff to Production

01
2 weeks

Audit and Roadmap

Infrastructure audit report, CI/CD gap analysis, SLO baseline, prioritised 12-month roadmap.

02
4-6 weeks

Foundation

Critical pipeline remediations, observability instrumentation, on-call integration, IaC baseline.

03
3-6 months

Acceleration

Deployment frequency improvement, SLO attainment, infrastructure automation, release management framework.

04
6-12 months

Optimisation

Developer experience improvements, chaos engineering program, cloud cost reduction, platform self-service.

05
Ongoing

Sustain and Transfer

Operations handbook, runbook library, internal team capability uplift, optional retained advisory.

Case Studies

Enterprise Outcomes

Financial Services

A global payments platform was deploying to production once per month with a 22 percent change failure rate.

We implemented GitOps-based delivery with automated canary analysis and a full SRE practice including SLO governance and 24/7 on-call.

94%reduction in change failure rate within 6 months
Healthcare SaaS

A telehealth platform with HIPAA obligations had no infrastructure-as-code and 14-hour mean time to restore for production incidents.

We migrated all infrastructure to Terraform, implemented comprehensive observability with PagerDuty escalation tiers, and reduced the alert volume by 68 percent through noise tuning.

87minmean time to restore achieved within first quarter
E-Commerce

A high-growth retailer was spending 40 percent over their cloud budget with no cost attribution by team or product.

We implemented resource tagging, rightsizing automation, and Savings Plan coverage analysis resulting in significant cloud cost reduction within two quarters.

$1.8Mannual cloud cost savings delivered

Start Your Engagement

Ready to Build Your Enterprise Engineering Team?

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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

From day one, our embedded DevOps engineers conduct a thorough audit of your existing CI/CD pipelines, infrastructure topology, and release processes. We document current-state gaps, establish baseline SLIs and SLOs, and produce a prioritised remediation roadmap within the first two weeks. Our team integrates directly into your Slack, Jira, and on-call rotation so there is no ambiguity about ownership or escalation paths. By the end of the first sprint, foundational pipeline improvements and observability instrumentation are already in flight.
Staff augmentation places individual engineers under your direction with no accountability for outcomes. A managed DevOps engagement transfers operational accountability to our team - we own SLO attainment, pipeline reliability, and deployment frequency targets alongside your engineering leadership. We bring pre-built runbooks, incident frameworks, and tooling accelerators that individual contractors cannot match. The result is a team that acts as a peer partner to your VP of Engineering rather than a resource pool waiting for assignments.
We implement the full Google SRE model including SLI definition, SLO target-setting, error budget policy, toil reduction programs, and blameless postmortem culture. SLOs are defined collaboratively with your product and engineering leadership in the first two weeks, anchored to user-facing journeys such as checkout latency, API availability, and data pipeline freshness. Error budgets are tracked weekly and surface explicitly in sprint planning so reliability investments are balanced against feature velocity. We also implement chaos engineering exercises on a quarterly cadence to validate that SLO targets remain achievable under failure conditions.
Our engineers hold certifications and deep hands-on experience across GitHub Actions, GitLab CI, Jenkins, CircleCI, Buildkite, ArgoCD, Flux, Spinnaker, and Tekton. On the infrastructure side we support Terraform, Pulumi, Ansible, and AWS CDK for infrastructure-as-code. We are cloud-agnostic across AWS, Azure, and GCP and have delivered managed DevOps programs on Kubernetes clusters ranging from 50 to 5,000 nodes. Tool selection is always driven by your existing ecosystem rather than our preferences.
We integrate into your existing PagerDuty or OpsGenie on-call rotation with clearly negotiated escalation tiers and SLA commitments for first response and time-to-acknowledge. Our engineers participate in 24/7 on-call coverage under defined rotation schedules so your internal team is not perpetually on-call for infrastructure incidents. Every incident generates an automated timeline, impact summary, and root-cause artifact within 24 hours. Over time we proactively reduce alert noise through aggressive tuning, so mean pages per week trends downward quarter over quarter.
Infrastructure automation under a managed DevOps engagement covers environment provisioning, configuration drift detection and remediation, secret rotation, certificate lifecycle management, auto-scaling policy tuning, and cost optimisation workflows. We treat all infrastructure as code from the first day, storing it in version control with peer review gates identical to application code. Automated compliance scanning is integrated into every provisioning pipeline so no resource is deployed outside your approved security baseline. We also deliver immutable infrastructure patterns that eliminate configuration drift as a category of incident entirely.
We own the end-to-end release management process including release train scheduling, feature flag governance, canary and blue/green deployment orchestration, and rollback automation. Release frequency targets are agreed upon in the initial roadmap and typically move from monthly batch releases to weekly or daily deployments within the first quarter. All release decisions are traceable through your existing ticketing system so audit requirements are met without additional overhead. We also implement release readiness checklists and automated pre-flight gates that prevent incomplete or under-tested builds from reaching production.
Yes. We have delivered managed DevOps programs under PCI-DSS, HIPAA, SOC 2 Type II, ISO 27001, and FedRAMP compliance frameworks. Our engineers are trained on the intersection of DevSecOps and regulatory requirements including audit-trail preservation, network segmentation, secrets management, and change-control documentation. We can produce compliance artifacts and evidence packages required for annual audits directly from your CI/CD and infrastructure tooling. Regulated workloads are not treated as exceptions - they are a core practice area with dedicated playbooks.
We implement observability across the three pillars - metrics, logs, and distributed traces - using tooling selected for your environment, which typically includes Prometheus, Grafana, OpenTelemetry, Datadog, or Elastic. Every service onboarded to the managed DevOps program receives a standard runbook, a latency/error/saturation dashboard, and alert routing to the appropriate on-call tier. We enforce structured logging standards across microservices so log-based debugging does not require tribal knowledge. Quarterly observability reviews assess coverage gaps and instrument any services that have drifted below the agreed baseline.
A standard enterprise engagement includes a Lead DevOps Architect who owns the technical roadmap, two to four senior DevOps engineers covering pipeline and infrastructure work, an SRE lead responsible for reliability practices and on-call, and a DevOps Program Manager who runs the sprint cadence and stakeholder reporting. Larger engagements add a Security Engineer for DevSecOps integration and a Cloud FinOps specialist for cost governance. Team sizing scales with the number of product squads supported and the breadth of cloud environments under management.
We accept engagements from six months, but 12 months is the recommended minimum because meaningful DevOps transformation requires time to instrument, measure, improve, and embed cultural change. In the first quarter the team establishes baselines and fixes critical gaps. In the second quarter, automation and reliability improvements compound into measurable deployment frequency and MTTR gains. By the third and fourth quarters, the team is driving proactive initiatives such as chaos engineering, cost optimisation, and developer experience improvements that deliver long-term ROI.
We track the four DORA metrics - deployment frequency, lead time for changes, change failure rate, and mean time to restore - as the primary performance indicators for every engagement. These are reported weekly in a shared dashboard accessible to your engineering and product leadership. Secondary metrics include pipeline build success rates, infrastructure provisioning time, alert volume trends, and cloud cost per deployment. Quarterly business reviews present a rolling 90-day trend analysis and the planned initiatives for the next quarter, giving stakeholders full visibility into the trajectory of the program.
Our engineers operate as embedded members of your product squads rather than a separate ops team. They attend squad standups, participate in sprint planning, and review pull requests for infrastructure and deployment concerns. We establish a DevOps community of practice that includes your internal engineers so knowledge transfers organically over the life of the engagement. All automation and tooling we introduce is documented and demoed to internal team members, ensuring no capability becomes a black box that only the managed team understands.
We manage Kubernetes clusters including cluster provisioning, node pool scaling, upgrade scheduling, RBAC governance, network policy enforcement, and resource quota management. We implement GitOps patterns using ArgoCD or Flux so all cluster state is declared in version control and drift is automatically reconciled. Pod disruption budgets, horizontal pod autoscalers, and vertical pod autoscalers are tuned per workload based on observed traffic patterns. We also operate multi-cluster federation for organisations with regional availability or data residency requirements.
Cloud cost governance is an embedded practice within our managed DevOps programs, not an optional add-on. We implement resource tagging policies from day one so spend is attributable to team, product, and environment. Rightsizing recommendations are generated monthly using observability data and reviewed with your FinOps or finance stakeholders. We implement automated savings using Reserved Instance and Savings Plan coverage analysis, spot instance integration for non-critical workloads, and scheduled scaling for development environments. Clients typically see 20 to 35 percent cloud cost reduction within the first two quarters without any reduction in reliability.
Knowledge transfer is not a final-week activity - it is a continuous practice built into every sprint through documentation standards, lunch-and-learn sessions, and pair programming between our engineers and your internal staff. In the final quarter of a planned engagement, we produce a comprehensive operations handbook, runbook library, architecture decision records, and a prioritised backlog of future improvements your team can execute independently. We also conduct a capability assessment of your internal engineers and recommend targeted training to close any remaining gaps. Our goal is for your team to be fully self-sufficient at handover, with optional retained advisory support available if needed.
Industries
Financial ServicesHealthcare and Life SciencesE-Commerce and RetailSaaS and TechnologyTelecommunications