DevOps, SRE & Platform Talent for US & EU Teams

Hire DevOps Engineers and Ship Twice as Often

Teams hire DevOps engineers from Aizecs when deploys are scary, pipelines are slow, and every incident becomes an all-hands scramble. We embed senior, AI-native specialists from India — DevOps engineers, site reliability engineers, and platform engineers — who automate the path to production so your developers ship more and firefight less. Named profiles land within 48 hours.

CI/CD, Kubernetes & observability depthSRE and platform engineering coveredInterview the named engineer yourselfTrial week first, month-to-month after

48h

Matched profiles to review

5+ yrs

Median hands-on experience

<1 in 20

Candidates who pass vetting

4+ hrs

Daily overlap with US Eastern

Transparent Pricing

What Hiring DevOps Engineers Costs With Us

DevOps, SRE, and platform roles are specialist-tier at Aizecs — priced 20–30% over generalist engineers, with every number public. Contrast that with Toptal or Turing at $90–$180+/hr for the same India-based pool, or $130–$220/hr loaded for a US in-house hire.

Role / SeniorityAizecs (India)Toptal / TuringUpwork FreelancersUS In-House
Mid-Level DevOps Engineer (3–5 yrs)$28–$50/hr$90–$130/hr$40–$70/hr$130–$170/hr
Senior DevOps Engineer (5–8 yrs)$45–$80/hr$110–$160/hr$50–$90/hr$150–$200/hr
Staff / Lead DevOps Engineer (8+ yrs)$55–$85/hr$130–$180+/hr$60–$100/hr$170–$220/hr
Cloud Engineer (Senior)$45–$80/hr$110–$160/hr$50–$90/hr$150–$200/hr

Hourly rates for dedicated, full-time embedded DevOps engineers (2025–26 benchmarks). Upwork medians cover unvetted freelance work. US in-house reflects fully loaded cost — salary, benefits, and overhead combined.

How It Works

From Flaky Deploys to a DevOps Engineer On Board in ~2 Weeks

Every week without proper DevOps capacity is paid in slow releases and lost engineering hours. Our process closes the gap in about ten business days.

1

Walk us through your delivery pain

A 30-minute call on your pipelines, deploy frequency, incident load, and tooling. We'll be candid if the fix is process rather than headcount.

2

Shortlist of named engineers in 48 hours

You receive 2–4 profiles matched to your stack — real names, real pipelines they've built, real incidents they've handled. Run them through your own interviews.

3

A paid week of real DevOps work

Your chosen engineer takes a concrete task — speeding up CI, fixing a fragile deploy, wiring up alerts that don't cry wolf. If the week doesn't deliver, it's all you pay and we replace them free.

4

Continue on monthly terms

Keep one engineer, grow into a platform pod, or wind down with 30 days' notice as your delivery machine stabilizes. No annual lock-in at any point.

Roles We Staff

DevOps, SRE, and Platform — All Under One Roof

The discipline goes by many names now. Whatever your org calls it, these are the specializations we place against.

CI/CD Pipeline Engineering

GitHub Actions, GitLab CI, and Jenkins pipelines rebuilt for speed and reliability — caching, parallelization, and deploys that take minutes, not afternoons.

Kubernetes Operations

Day-2 Kubernetes: upgrades, autoscaling, Helm and GitOps workflows with ArgoCD, and resource tuning that stops cluster sprawl.

Observability & Monitoring

Prometheus, Grafana, Datadog, and OpenTelemetry setups that surface real signals — SLO dashboards your on-call actually trusts.

Site Reliability Engineering

Site reliability engineers who define error budgets, run blameless postmortems, and engineer away the incidents instead of just responding faster.

Platform Engineering

Platform engineers building internal developer platforms — self-service environments, golden paths, and Backstage-style portals that cut ticket queues.

MLOps & AI Delivery

CI/CD for models and LLM apps — experiment tracking, model registries, and deployment pipelines that bring software discipline to AI features.

Why Aizecs

Why Aizecs Is the Smarter Way to Add DevOps Capacity

A good DevOps engineer is a force multiplier for the whole team; a bad one is a single point of failure with root access. Our vetting and terms are built around that asymmetry.

Vetted on real failure stories

Our screening digs into incidents candidates have owned, pipelines they've rescued, and includes live automation exercises. Under 1 in 20 get through.

Multiplier mindset

We select for engineers who automate themselves out of toil and document as they go — the goal is your whole team shipping faster, not a hero dependency.

AI-native automation

Claude, Copilot, and agentic tooling used daily to write pipeline configs, Helm charts, and runbooks — senior-level throughput at published mid-market rates.

No bench, no bait-and-switch

The named engineer you interview is the one who gets access to your systems. Substitutions after signing simply don't happen here.

Risk carried by us

Paid trial week, free replacement, month-to-month terms, 30-day notice. If the engagement stops earning its keep, you can stop it.

On-call compatible hours

At least 4 hours of daily overlap with US Eastern and near-complete EU/UK coverage — deploy windows and incident reviews happen with your team, live.

Engagement Models

Engagement Options as Your Delivery Needs Grow

Start with a single specialist or stand up an entire platform capability — commercial terms stay identical throughout.

Embedded DevOps engineer

One senior specialist inside your team, owning CI/CD and infrastructure automation under your leads.

Best for: Startups where developers currently 'do DevOps' between features

SRE engagement

A site reliability engineer (or pair) establishing SLOs, on-call hygiene, and incident processes alongside hands-on reliability work.

Best for: Products where uptime has become a revenue conversation

Platform pod

Two to four platform engineers with a lead, building the internal tooling and paved roads your whole org ships on.

Best for: Scale-ups past 20 engineers with growing infra ticket queues

Compare Your Options

Your Options for DevOps Talent, Side by Side

Marketplace, freelance, or in-house — here's how each route compares with embedding through Aizecs.

AizecsToptal / TuringUpworkUS In-House
Senior DevOps rate$45–$80/hr$110–$160/hr$50–$90/hr$150–$200/hr loaded
Time until first pipeline fix~10 business days2–3 weeksDays, no vetting3–6 months
Screening method<1 in 20; incidents + live automationPlatform testsRatings onlyYour own process
Bad-fit protectionTrial week + free replacementLimited trialNoneNone — severance cost
FlexibilityMonth-to-month, 30-day noticeMonthly + marginsGig-basedPermanent headcount

FAQ

Common Questions

How quickly can I hire DevOps engineers through Aizecs?

Named, stack-matched profiles arrive within 48 hours of the intro call, and the paid trial week usually begins 3–5 business days after your interviews. That means a vetted DevOps engineer improving your pipelines within two weeks — versus the 3–6 months a comparable US hire takes.

Do you place site reliability engineers and platform engineers too?

Yes — DevOps, SRE, and platform engineering draw from the same talent pool with different emphases. Site reliability engineers focus on SLOs, incident management, and reliability work; platform engineers build internal developer tooling. Describe your outcomes and we match the right emphasis, whatever the title.

What do your DevOps engineers cost?

Published specialist rates: $28–$50/hr mid-level, $45–$80/hr senior, $55–$85/hr staff/lead — 20–30% above our generalist engineering tier. Equivalent talent bills $90–$180+/hr through Toptal or Turing, and a loaded US in-house DevOps hire runs $130–$220/hr.

Our deploys take hours and fail often — can one engineer really change that?

Usually, yes, and faster than teams expect. Common first-month wins include CI caching and parallelization (build times cut 50–80%), deployment automation with rollback, and alerting that separates signal from noise. The trial week is designed to produce one such measurable improvement.

How do you handle the access a DevOps role requires?

Engineers work inside your systems under credentials you control — least-privilege IAM, your SSO, full audit trails, and your approval flow for production changes. Legally, IP assignment and NDA coverage sit under a US-enforceable master services agreement.

What happens if the engineer isn't a fit after the trial week?

You pay for the trial week and nothing else — no placement fee, no notice period. We immediately line up a replacement candidate at no charge, and you're never obligated to continue. After a successful trial, the engagement is month-to-month with 30 days' notice.

Can your engineers support MLOps for our AI features?

Yes. A growing share of our DevOps placements involve MLOps — deployment pipelines for models and LLM apps, experiment tracking, model registries, and monitoring for drift and cost. Since every Aizecs engineer works with AI tooling daily, the domain is familiar ground rather than a stretch.

Turn Deploy Day Into a Non-Event

Tell us where releases hurt and review named DevOps, SRE, and platform profiles within 48 hours.

One paid trial week on your real pipelines proves the value — or costs you a week and nothing more.

30 minutes, honest advice included. If your delivery problem is process or architecture rather than DevOps headcount, we'll say exactly that.