Jordan T.
Kubernetes Architect
Eastern Europe · 9 years
Migrated a 200-service monolith to EKS with zero downtime. Designed GitOps workflow reducing deployment time from 2 hours to 8 minutes.
Kubernetes architects, Terraform specialists, CI/CD engineers, and SREs - screened live on your stack. Shortlisted in 72 hours. Full managed delivery. Flat 15% fee.
Trusted by 200+ engineering teams globally
300+
Vetted DevOps Engineers
72h
To Shortlist
15%
Flat Fee
Top 4%
Acceptance Rate
300+
Vetted DevOps Engineers
97%
Infrastructure Delivery Rate
$0
Matching Fee
72h
To Shortlist
15%
Flat Management Fee
14-day
Free Replacement
DevOps engineers matched on your exact cloud provider, IaC toolchain, and orchestration platform
A bad hire in DevOps does not just slow you down. It puts production infrastructure at risk. Here is why engineering teams trust us with their most critical hiring decisions.
Every engineer passes a live infrastructure screen covering Kubernetes cluster design, Terraform module architecture, CI/CD pipeline construction, and cloud-specific services for your chosen provider (AWS, Azure, or GCP). We do not accept self-reported CVs.
Enterprise teams will not trust a solo freelancer with prod infrastructure. Every engagement includes weekly delivery reports, milestone tracking, and a dedicated account manager. You get the accountability of a managed service without the agency overhead.
Match engineers with specific DevSecOps experience: SAST/DAST pipeline integration, secret management (Vault, AWS Secrets Manager), RBAC design, SOC 2 / ISO 27001 posture, and container security hardening. Security is a matching criterion, not an afterthought.
We specifically screen for infrastructure-as-code depth: Terraform module design, state management, Terragrunt, Pulumi, or CDK. Engineers who rely on ClickOps or brittle shell scripts are filtered out at the first stage.
DevOps is a field where staffing agencies routinely charge 40-60% margins because buyers cannot easily benchmark it. Our fee is a flat 15% on the engineer rate, published in every contract. You see exactly what the engineer earns.
Unlike freelance platforms where an engineer going dark means a production outage with no recourse, our managed delivery model includes escalation paths and SLA commitments. If an engineer is unresponsive during a critical incident, our team activates within the hour.
Anonymised profiles from our active pool. Every engineer below has passed a live infrastructure screen covering Kubernetes, Terraform, CI/CD, and cloud-provider-specific services.
Kubernetes Architect
Eastern Europe · 9 years
Migrated a 200-service monolith to EKS with zero downtime. Designed GitOps workflow reducing deployment time from 2 hours to 8 minutes.
Terraform / AWS Platform Engineer
South Asia · 7 years
Built multi-account AWS Landing Zone with Terraform for a 500-person fintech. 100% infrastructure-as-code, zero manual resources.
SRE - Google Cloud
Western Europe · 11 years
Reduced P99 latency 60% and achieved 99.98% uptime SLO for a 10M-user SaaS platform using custom Prometheus alerting and load-shedding patterns.
CI/CD & DevSecOps Engineer
Latin America · 6 years
Built SOC 2 compliant CI/CD pipeline with automated SAST/DAST scanning, container image signing, and secrets rotation. Zero critical CVEs shipped to prod.
Azure & Hybrid Cloud Architect
South-East Asia · 8 years
Designed hybrid on-premise to Azure cloud migration for a 2,000-employee enterprise with Active Directory federation and ExpressRoute connectivity.
Platform Engineer (ex-Cloudflare)
Eastern Europe · 12 years
Built internal developer platform at scale using Backstage and Crossplane, reducing new service launch time from 2 weeks to 45 minutes. Former Cloudflare infrastructure team.
All profiles are anonymised. Full profiles including references and GitHub history are shared after brief submission. Rates shown are engineer rates before the 15% management fee.
Four steps from posting your brief to a vetted DevOps engineer joining your team with full managed delivery in place.
Describe your cloud provider (AWS, Azure, GCP), IaC toolchain (Terraform, Pulumi, CDK), orchestration platform (Kubernetes, ECS, Cloud Run), current team size, and any compliance requirements (SOC 2, HIPAA, ISO 27001). The more specific, the better the match.
Our AI filters 300+ engineers against your stack. A senior DevOps engineer then manually validates each match for cloud-provider depth, IaC experience, seniority level, and timezone. Every shortlist is hand-approved before it reaches you.
You receive 3 profiles with screen results, infrastructure work samples (sanitised), references, and recorded technical interview segments. Interview the engineers yourself or fast-track to contract based on the screen output.
A tri-party contract covering IP ownership, SLAs, confidentiality, and exit terms is signed before the first Terraform plan runs. Weekly delivery reports, milestone tracking, and a dedicated account manager are included as standard. Delivery includes a runbook template covering the top three incident scenarios for the client's infrastructure, SLO baseline metrics dashboarded in Grafana or Datadog (error rate, latency p95, availability), and a Grafana dashboard export (JSON) so the client's team can import monitoring without starting from scratch.
From Kubernetes architecture to DevSecOps compliance and cloud cost optimisation. Tell us your exact stack in the brief.
EKS, AKS, GKE cluster design and operations. Helm chart authoring, ArgoCD GitOps workflows, Istio service mesh, Horizontal Pod Autoscaling, and multi-cluster federation. Engineers who can right-size your cluster and reduce cloud spend.
Terraform module design, state management, Terragrunt DRY patterns, AWS CDK, Pulumi, and Bicep for Azure. Engineers who build reusable, tested IaC rather than one-off scripts that break on the next cloud provider release.
GitHub Actions, GitLab CI, Jenkins, CircleCI, and ArgoCD pipeline design. Build caching strategies, parallel test execution, canary deployments, blue-green releases, and feature flag integration with LaunchDarkly or Flagsmith.
SAST/DAST pipeline integration (Snyk, Trivy, Checkov), secret management (HashiCorp Vault, AWS Secrets Manager), container image signing, RBAC hardening, network policy design, and compliance posture for SOC 2, ISO 27001, HIPAA, and PCI-DSS.
Prometheus + Grafana dashboards, Datadog APM, OpenTelemetry instrumentation, SLO/SLI design, alerting strategy, on-call runbook authoring, and incident response process engineering. SREs who reduce MTTR, not just set up dashboards.
Lift-and-shift, re-platforming, and re-architecting workloads across AWS, Azure, and GCP. FinOps cost optimisation, reserved instance strategy, spot instance automation, and cloud architecture reviews that typically reduce bills 20-40%.
These titles are often used interchangeably, but they describe meaningfully different roles. Hiring the wrong type is expensive. Here is how to tell them apart.
Owns the build, test, deploy, and release pipeline. Day-to-day: writing CI/CD pipelines, managing container registries, deploying to Kubernetes, writing Terraform for new environments, and supporting development teams with tooling. Most common hire.
Best For
Teams that need pipeline ownership, environment management, and deployment automation across one or two cloud providers.
Owns reliability through SLOs, error budgets, and reducing toil. Day-to-day: defining SLIs/SLOs, building alerting and on-call runbooks, conducting post-mortems, and eliminating manual operational work. SREs improve reliability metrics - they are not generalist DevOps.
Best For
Teams running production services at scale (>100k users) that are hitting reliability issues, have undefined SLOs, or are burning out on-call engineers.
Builds the internal developer platform (IDP). Day-to-day: Backstage developer portal, Crossplane self-service infrastructure, golden path templates, internal tooling, and reducing the cognitive load on development teams. The most senior and highest-leverage DevOps role.
Best For
Engineering organisations with 30+ developers where developer productivity is constrained by infrastructure complexity. Typically senior/staff-level hire.
Designs the cloud foundation: account structure, networking topology (VPCs, Transit Gateway, Direct Connect), IAM strategy, data residency boundaries, and multi-region architecture. Usually brought in for large migrations or greenfield cloud foundations.
Best For
Companies migrating from on-premises, designing a new cloud foundation from scratch, or undergoing a major re-architecture for compliance or scale.
We match and screen on your exact toolchain. Tell us what you run and we match engineers who have used it in production.
Use this matrix to calibrate what seniority level you actually need before you write the brief.
Core Linux & Networking
Bash scripting, SSH, basic networking (TCP/IP, DNS, HTTP)
Advanced shell scripting, iptables, network troubleshooting, load balancer config
Kernel tuning, eBPF programs, BGP routing, SD-WAN, complex network topologies
Container & Orchestration
Docker basics, Dockerfile writing, docker-compose
Kubernetes deployments, services, ingress, Helm charts, namespaces, RBAC
Multi-cluster federation, custom operators (CRDs), Istio service mesh, cluster autoscaler tuning
Infrastructure as Code
Terraform basics, writing resources and modules from documentation
Terraform module design, state management, remote backends, Terragrunt patterns
Complex module libraries, drift detection, Pulumi/CDK, IaC testing (Terratest), policy-as-code
CI/CD Pipelines
GitHub Actions or GitLab CI basics, writing simple build/test workflows
Multi-stage pipelines, caching strategies, Docker build optimisation, secrets in pipelines
Complex deployment strategies (canary, blue-green, progressive), SLSA provenance, pipeline security
Cloud Provider (AWS/Azure/GCP)
Core services: compute, storage, managed databases, IAM basics
VPC design, cross-account networking, managed K8s (EKS/AKS/GKE), cost optimisation
Landing zone design, multi-region architecture, FinOps, compliance posture, Direct Connect/ExpressRoute
Observability
Setting up Prometheus/Grafana, basic dashboards, reading existing alerts
Custom metrics, alerting rules, log aggregation (ELK/Loki), distributed tracing setup
OpenTelemetry architecture, SLO/SLI design, chaos engineering, on-call process design
Security (DevSecOps)
Basic secrets management, scanning Dockerfiles, following security checklist
SAST/DAST pipeline integration, Vault setup, OPA policies, container image hardening
Zero-trust network design, SOC 2 / ISO 27001 posture, threat modelling, RBAC architecture
Incident Response & SRE
Following runbooks, basic on-call participation, incident timeline creation
Post-mortem facilitation, alert noise reduction, runbook authoring, MTTR improvement
SLO/error budget design, chaos experiment design, toil elimination, incident commander
Junior
Bash scripting, SSH, basic networking (TCP/IP, DNS, HTTP)
Mid-Level
Advanced shell scripting, iptables, network troubleshooting, load balancer config
Senior
Kernel tuning, eBPF programs, BGP routing, SD-WAN, complex network topologies
Junior
Docker basics, Dockerfile writing, docker-compose
Mid-Level
Kubernetes deployments, services, ingress, Helm charts, namespaces, RBAC
Senior
Multi-cluster federation, custom operators (CRDs), Istio service mesh, cluster autoscaler tuning
Junior
Terraform basics, writing resources and modules from documentation
Mid-Level
Terraform module design, state management, remote backends, Terragrunt patterns
Senior
Complex module libraries, drift detection, Pulumi/CDK, IaC testing (Terratest), policy-as-code
Junior
GitHub Actions or GitLab CI basics, writing simple build/test workflows
Mid-Level
Multi-stage pipelines, caching strategies, Docker build optimisation, secrets in pipelines
Senior
Complex deployment strategies (canary, blue-green, progressive), SLSA provenance, pipeline security
Junior
Core services: compute, storage, managed databases, IAM basics
Mid-Level
VPC design, cross-account networking, managed K8s (EKS/AKS/GKE), cost optimisation
Senior
Landing zone design, multi-region architecture, FinOps, compliance posture, Direct Connect/ExpressRoute
Junior
Setting up Prometheus/Grafana, basic dashboards, reading existing alerts
Mid-Level
Custom metrics, alerting rules, log aggregation (ELK/Loki), distributed tracing setup
Senior
OpenTelemetry architecture, SLO/SLI design, chaos engineering, on-call process design
Junior
Basic secrets management, scanning Dockerfiles, following security checklist
Mid-Level
SAST/DAST pipeline integration, Vault setup, OPA policies, container image hardening
Senior
Zero-trust network design, SOC 2 / ISO 27001 posture, threat modelling, RBAC architecture
Junior
Following runbooks, basic on-call participation, incident timeline creation
Mid-Level
Post-mortem facilitation, alert noise reduction, runbook authoring, MTTR improvement
Senior
SLO/error budget design, chaos experiment design, toil elimination, incident commander
Six interview questions that separate engineers who have run production infrastructure from those who have read about it. Plus the red flags that disqualify immediately.
Describe how you would design a multi-tenant Kubernetes cluster for 50 development teams.
What Good Looks Like
Namespace-per-team or namespace-per-env model, RBAC policies with namespace isolation, NetworkPolicies for inter-namespace traffic, LimitRanges and ResourceQuotas per namespace, node affinity and taints for workload isolation, and a self-service namespace provisioning workflow (Crossplane or Argo ApplicationSets).
Red Flag
Vague answer about 'just using namespaces' without discussing RBAC, NetworkPolicies, or resource governance. Any engineer who has done this in production will have scars.
Walk me through how you debug a memory leak in a production Kubernetes pod.
What Good Looks Like
kubectl top pods and nodes to identify the offending pod, heap dumps or pprof profiles for Go/Node apps, Prometheus container_memory_working_set_bytes trends, OOMKilled events in describe output, correlation with deployment events. Also: temporary resource limits to contain blast radius while diagnosing.
Red Flag
Only mentions restarting the pod. No mention of profiling tools or root-cause analysis. This means they remediate symptoms, not problems.
How do you manage Terraform state safely in a team environment?
What Good Looks Like
Remote state backend (S3 + DynamoDB locking or Terraform Cloud), state file encryption at rest, workspace-per-environment or separate state files per account/region, state locking to prevent concurrent apply conflicts, periodic state audits and import for drift. Plus: never storing state in git.
Red Flag
Stores state locally or in git. Does not mention locking. This is a data-loss and security incident waiting to happen.
How would you implement zero-downtime deployments for a stateful application?
What Good Looks Like
StatefulSet rolling updates with PodDisruptionBudgets, database migration strategy (expand-contract pattern for schema changes), readiness and liveness probes tuned correctly, pre-stop hooks for graceful shutdown, pod disruption budgets preventing simultaneous pod restarts, and traffic shifting via service mesh or load balancer weight adjustments.
Red Flag
Only mentions rolling deployments without discussing state, database migrations, or connection draining. Zero-downtime for stateful apps is a solved problem but only if you know the solutions.
How would you design a CI/CD pipeline that meets SOC 2 compliance requirements?
What Good Looks Like
SLSA level 2+ provenance, container image signing (Cosign/Sigstore), SAST scanning (Semgrep, CodeQL), SCA for dependency CVEs (Snyk, Dependabot), container scanning (Trivy), audit logs for all pipeline executions, change management integration, and immutable artefact registry with digest pinning.
Red Flag
Mentions 'adding a security scan step' without understanding provenance, immutability, or the audit trail requirements. Compliance is architecture, not a checkbox.
What is your approach to reducing cloud costs on an AWS bill that is higher than expected?
What Good Looks Like
Rightsizing EC2/EKS nodes (Kubernetes VPA and Cluster Autoscaler), Reserved Instances / Savings Plans for baseline compute, Spot Instances for batch and non-critical workloads, S3 lifecycle policies, data transfer cost audit, idle resource detection (AWS Cost Explorer + Trusted Advisor), and tagging strategy for cost attribution by team/service.
Red Flag
Only mentions 'turning off unused resources.' A systematic FinOps approach typically reduces bills 25-40%. Without a framework, cost reduction is ad-hoc and temporary.
Only experience is personal projects or tutorials - no production infrastructure at scale
Cannot explain the difference between a Deployment, StatefulSet, and DaemonSet use cases
Terraform state stored in git or locally - fundamental security and team coordination failure
No experience with IaC testing (Terratest, OPA/Rego, Checkov) - indicates brittle infrastructure
Unfamiliar with any observability tooling beyond 'I set up CloudWatch' - not production experience
Dismisses DevSecOps as 'the security team's job' - indicates siloed thinking, will create compliance gaps
Eastern Europe
$40-$55
$65-$90
$95-$130
South Asia
$25-$40
$50-$75
$75-$110
South-East Asia
$30-$45
$55-$80
$80-$115
Latin America
$35-$50
$60-$85
$85-$120
Middle East & Africa
$30-$45
$50-$75
$75-$105
Western Europe
$65-$85
$90-$120
$120-$160
Rates shown are engineer rates in USD/hr before Open IT Freelancers flat 15% management fee. DevOps engineer rates are higher on average than application developers due to the combination of infrastructure depth, security knowledge, and cloud provider expertise required.
Transparent rate benchmarks for DevOps engineers across every region we operate in. All rates shown are engineer rates before the flat 15% management fee.
Poland, Romania, Ukraine, Czech Republic
Junior
2-3 yrs, Docker/K8s basics, CI/CD scripting
$40-$55/hr
Mid-Level
4-6 yrs, Terraform, EKS/GKE, GitHub Actions
$65-$90/hr
Senior / Lead
7+ yrs, K8s architecture, IaC design, SRE
$95-$130/hr
India, Sri Lanka, Bangladesh
Junior
2-3 yrs, AWS basics, Jenkins, Docker
$25-$40/hr
Mid-Level
4-6 yrs, Terraform, Kubernetes, multi-cloud
$50-$75/hr
Senior / Lead
7+ yrs, cloud architecture, DevSecOps, SRE
$75-$110/hr
Singapore, Philippines, Vietnam, Indonesia
Junior
2-3 yrs, container basics, CI/CD automation
$30-$45/hr
Mid-Level
4-6 yrs, K8s, Terraform, observability setup
$55-$80/hr
Senior / Lead
7+ yrs, platform engineering, FinOps, compliance
$80-$115/hr
Brazil, Colombia, Argentina, Mexico
Junior
2-3 yrs, AWS/GCP fundamentals, Docker
$35-$50/hr
Mid-Level
4-6 yrs, Terraform, Kubernetes, GitOps
$60-$85/hr
Senior / Lead
7+ yrs, multi-cloud, SRE, DevSecOps
$85-$120/hr
UAE, Egypt, Nigeria, South Africa
Junior
2-3 yrs, cloud fundamentals, CI/CD basics
$30-$45/hr
Mid-Level
4-6 yrs, multi-cloud, IaC, container orchestration
$50-$75/hr
Senior / Lead
7+ yrs, enterprise architecture, security hardening
$75-$105/hr
Germany, Netherlands, UK (contract), Spain
Junior
2-3 yrs, solid fundamentals, GDPR awareness
$65-$85/hr
Mid-Level
4-6 yrs, enterprise cloud, compliance, K8s
$90-$120/hr
Senior / Lead
7+ yrs, cloud architect level, regulated industries
$120-$160/hr
A DevOps engineer with the same years of experience as an application developer typically commands 15-30% higher rates. This reflects the combination of skills required: deep Linux and networking knowledge, cloud provider certifications and hands-on experience, security and compliance awareness, and the business risk associated with infrastructure errors. A bug in application code is a feature defect. A misconfigured Kubernetes RBAC policy or Terraform mistake is a production outage or a security breach.
Open IT Freelancers flat fee: engineer rate + 15%. No hidden costs.
An honest comparison across every dimension that matters when hiring DevOps engineers, SREs, and platform engineers.
Time to first shortlist
72 hours
Instant (proposals flood in - mostly unvetted)
1-2 weeks vetting process
6-14 weeks with recruiter
DevOps-specific vetting
Live K8s, Terraform IaC, CI/CD, and cloud screen
Self-reported - 'DevOps' is the most over-claimed title in tech
Technical interview (adds time)
Your own technical interview loop
Toolchain matching
Matched on K8s flavour, IaC tool, cloud provider, and CI/CD platform
You filter by keyword - 'Kubernetes' covers wildly different skill depths
Stack matching available
Depends on recruiter knowledge of DevOps
Managed delivery
Weekly reports, milestones, escalation SLA - standard on all engagements
None - a freelancer going dark means a production outage
Account manager at higher tiers
Full management overhead on your team
Incident-response SLA
Our team escalates if engineer is unresponsive in critical incident
No recourse - you are on your own
No formal SLA
Internal HR process
DevSecOps matching
Screened on Vault, SAST/DAST, OPA, container security hardening
Self-reported - security skills are impossible to verify from a CV
Technical interview covers security basics
Depends on your interview process
Platform fee model
Flat 15% on developer rate - published in contract
5-10% client fee + 5-20% freelancer fee = combined 10-30%
40-60%+ opaque margin on developer rate
Salary + benefits + recruiter fee ($8K-$30K)
IaC review included
Senior DevOps engineer reviews engineer shortlist for IaC depth
None - you must review IaC capability yourself
Technical review during process
Depends on internal expertise
IP and code ownership
100% yours - tri-party contract day one
Requires your own contract
Contract included
Standard employment contract
14-day replacement guarantee
Yes - activated within 24 hours
No
No
No - re-hire from scratch (months)
Compliance-ready engineers
Match on SOC 2 / ISO 27001 / HIPAA / PCI posture experience
No compliance filtering - you screen manually
Available at higher tiers
Depends on your hiring process
Upwork
$95/hr + ~$19/hr client fee + $9.50/hr freelancer fee passed through = ~$123.50/hr effective
~$79,040 over 16 weeks
Toptal
$95/hr developer cost + Toptal's ~50% margin = $142.50/hr billed to you
~$91,200 over 16 weeks
Open IT Freelancers
$95/hr + flat 15% management fee = $109.25/hr. That is all.
~$69,920 over 16 weeks - $9K-$21K less
Based on 40 hrs/wk x 16 weeks = 640 hrs. Upwork client fee estimate 20%; Toptal margin estimate 50%. Actual figures vary.
From a 5-person team shipping their first containerised service to a 1,000-person enterprise migrating to multi-cloud. Here is how DevOps hiring changes at each stage.
You need DevOps but cannot afford a full-time hire yet. A fractional DevOps engineer sets up your CI/CD pipeline, Dockerises your services, provisions your AWS or GCP environment with Terraform, and hands you runbooks. Most startup DevOps engagements are 4-16 weeks to get from 'it works locally' to 'it deploys to prod automatically.'
Your single EC2 instance or single Kubernetes cluster is struggling under load, your deployment pipeline takes 45 minutes, and your on-call engineer is burning out. We match senior DevOps engineers who specialise in Kubernetes optimisation, pipeline acceleration, observability maturity, and moving from 'it mostly works' to defined SLOs.
Landing zone design, compliance posture (SOC 2, ISO 27001, HIPAA), multi-account AWS / Azure governance, and platform engineering at scale. Enterprise DevOps buyers need managed delivery accountability, not just a contractor. We provide both the senior engineer and the delivery structure with weekly reporting and escalation paths.
You deliver client projects and need DevOps engineers on demand without employment overhead. Our engineers drop into your client engagements, follow your delivery methodology, and can context-switch across multiple cloud providers depending on the client. IR35-compliant contracting structure available.
EKS + Helm + ArgoCD + Istio + Prometheus
Design and build multi-tenant EKS platform with GitOps deployment, service mesh, and full observability stack. 20 weeks.
Terraform + Terragrunt + AWS Control Tower + Vault
Build multi-account AWS Landing Zone with hub-spoke VPC, IAM Identity Center, SCPs, and CloudTrail. SOC 2 ready. 16 weeks.
GitHub Actions + Trivy + Snyk + OPA + Cosign
Re-architect CI/CD pipeline with SLSA Level 2 provenance, container signing, SAST/DAST gates, and Vault secrets rotation. 10 weeks.
Everything CTOs and engineering managers ask us before their first DevOps or platform engineering engagement.
Every engineer passes a live infrastructure screen covering Kubernetes cluster design, Terraform module architecture, CI/CD pipeline construction, and cloud-specific services for your chosen provider (AWS, Azure, or GCP). We screen for real production experience: multi-tenant cluster design, IaC state management, deployment strategies, and observability setup. We do not accept self-reported CVs or certificate-only credentials. The live DevOps screen covers Terraform state locking and workspace isolation - engineers must explain how state locking prevents concurrent apply conflicts and design a multi-environment workspace strategy. Kubernetes RBAC hardening is assessed as a live audit: engineers review a ClusterRole manifest and identify over-permissive verbs. Helm chart templating is tested with a values override exercise, and SLO error budget calculation is assessed - engineers must derive an error budget from a stated availability target and calculate burn rate from an incident timeline.
A DevOps engineer owns the build, deploy, and release pipeline and day-to-day infrastructure operations. An SRE (Site Reliability Engineer) focuses on reliability through SLOs, error budgets, on-call process design, and toil reduction -- typically for teams with production services at scale. A Platform Engineer builds the internal developer platform to reduce cognitive load on development teams, using tools like Backstage, Crossplane, and golden-path templates. Tell us which problem you are actually solving and we match the right title.
You receive 3 shortlisted, pre-vetted DevOps engineers within 72 business hours of submitting your brief. Our AI scans 300+ engineers and a senior DevOps engineer validates each match manually for cloud provider depth, IaC experience, toolchain fit, seniority, and timezone. Unlike application developers, DevOps engineers are also validated on security posture -- Vault, RBAC, and compliance experience are noted in every shortlist.
DevOps engineer rates range from $40 to $160 per hour depending on seniority and region. Open IT Freelancers adds a flat 15% management fee on top of the engineer rate. There is no matching fee -- you pay $0 to receive your shortlist. DevOps engineers typically command 15-30% higher rates than application developers of equivalent seniority, reflecting the combination of infrastructure, networking, security, and cloud knowledge required.
We have engineers specialising in all three major cloud providers. AWS is the most common (EKS, ECS, Lambda, VPC design, IAM, Control Tower), followed by Azure (AKS, Azure AD, Bicep/ARM, Azure DevOps, ExpressRoute) and GCP (GKE, Cloud Run, BigQuery infrastructure, Anthos). Multi-cloud architects who operate across all three are available at senior level. Specify your cloud provider in the brief and we match accordingly.
Yes -- we specifically match on compliance posture experience. Engineers with SOC 2 experience understand evidence collection, audit trails in CI/CD pipelines, access control reviews, and infrastructure change management. ISO 27001 experience typically includes ISMS design, risk assessment, and control implementation. Tell us your compliance framework in the brief. We will note compliance experience in every shortlist profile.
Yes. Engagements range from 4 weeks (CI/CD pipeline setup, Terraform migration) to 24+ months (platform engineering, ongoing SRE). The only commitment is a 14-day notice period to end an engagement, with no early termination penalties. Short-term DevOps engagements typically focus on infrastructure-as-code buildout, pipeline modernisation, or a specific cloud migration.
If within the first 14 days the engineer is not the right fit, we replace them at no extra cost. No arguments, no delays -- we activate the replacement process within 24 hours. For DevOps roles specifically, this guarantee matters more than in application development because a poor infrastructure fit can cause production issues. After 14 days, engagements run on 14-day notice.
You own 100% of all infrastructure code, Terraform modules, Helm charts, pipeline definitions, runbooks, and documentation. Ownership transfers automatically on work approval through our tri-party contract signed on day one. There are no platform licensing fees or IP retained by the engineer or Open IT Freelancers.
We screen for codebase and environment navigation alongside greenfield skills. In the brief, describe your Kubernetes version, managed service (EKS/AKS/GKE), Helm chart structure, GitOps tooling (ArgoCD or Flux), and existing observability stack. We match engineers who have worked in similar setups and can ramp without forcing a full rewrite.
Toptal's vetting process takes 1-2 weeks and their margin typically runs 40-60% on top of the engineer rate. We return a shortlist in 72 hours with a flat 15% fee. Our live DevOps screen covers Kubernetes cluster design, Terraform state management, and cloud-provider-specific services -- not generic algorithm challenges. We also include managed delivery (weekly reports, milestone tracking, escalation SLA) as standard on every engagement, which Toptal does not.
Timezone is a matching criterion. Specify your team's working hours in the brief and we only shortlist engineers with sufficient overlap -- typically 4+ hours of shared working time. DevOps on-call requirements may need tighter timezone overlap, which you can specify. We have engineers across Eastern Europe, South Asia, Latin America, South-East Asia, and Western Europe.
Before You Hire
Written by our engineering team - no fluff, just the frameworks that work.
Developer rates by region, hidden cost breakdown, TCO comparison across DIY vs managed platforms, and a complete budgeting guide.
The 7-day vetting framework, technical interview questions, take-home test design, and red flags - built for non-technical founders.
Stage-by-stage decision framework for founders and CTOs. Cost, speed, and risk tradeoffs - with a clear verdict for each company type.
Post your infrastructure brief in 5 minutes. We handle live Kubernetes and Terraform screens, cloud-provider matching, and managed delivery. You get engineers who actually know production infrastructure.
No commitment · 72 hrs · $0 to start