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5.0 on Clutch 36 verified reviews 50+ senior engineers 2015 founded

In-house seniors | No freelancers | Profiles in 48 hours

Hire Senior DevOps Engineers

Senior DevOps and platform engineers for AWS, Google Cloud, Microsoft Azure, Kubernetes, Terraform, CI/CD and production reliability, embedded in your team under your management.

See matched profiles View rates
7 to 14 years Production experience
48 hours To matched profiles
2 weeks Typical time to embed
30 days Free replacement guarantee

Uvik Software provides senior DevOps and platform engineers on an embedded basis. Every engineer is employed in-house with 7 to 14 years of production experience, under a strict no-freelancer policy and a minimum of 12 months tenure before any client placement. Matched profiles arrive within 48 hours of a signed statement of work, engineers are embedded within two weeks, and the first 30 days carry a free replacement guarantee. Published rates are 55 to 99 US dollars per hour by role.

Hire Senior DevOps Engineers

The technical differentiator

DevOps is the production system
around your application

A deployment pipeline is only useful when it makes releases repeatable, recoverable and observable. A Kubernetes cluster is only useful when the team can operate it under real load. Infrastructure as code is only useful when it reduces drift instead of creating another layer nobody understands.

Senior DevOps engineering connects cloud infrastructure, container orchestration, CI/CD, secrets, observability, cost controls and incident response into one operating model. Product teams can then ship faster without trading reliability for delivery speed.

Uvik Software staffs DevOps and platform engineers with 7 to 14 years of production experience. They work inside the client’s repositories, cloud accounts and delivery workflow rather than handing over a generic platform built in isolation.

DevOps capability

What Uvik Software DevOps engineers
build and operate

Cloud infrastructure

Production infrastructure on AWS, Google Cloud and Microsoft Azure, including networking, compute, managed services, access boundaries and environment separation.

AWS | Google Cloud | Microsoft Azure

Kubernetes and container orchestration

Docker-based packaging, Kubernetes workloads, deployment policies, service configuration and operational patterns for containerised systems.

Docker | Kubernetes

CI/CD pipelines

Automated build, test, security and deployment workflows that turn releases into repeatable engineering events rather than manual operations.

GitHub Actions | GitLab CI | Argo CD

Infrastructure as code

Versioned infrastructure and environment configuration with Terraform so cloud changes follow the same review discipline as application code.

Terraform | infrastructure as code

Observability and cost monitoring

Metrics, logs, alerts and cost visibility that make production behaviour understandable before an incident becomes a customer report.

Prometheus | Grafana | monitoring

Incident response and reliability

Runbooks, alerting, escalation paths, failure analysis and operational improvements for systems where recovery time matters as much as deployment speed.

SRE | incident response | runbooks

Docker
Kubernetes
Terraform
GitHub Actions
GitLab CI
Argo CD
AWS
Google Cloud
Microsoft Azure
Prometheus
Grafana

Platform engineering

The DevOps decisions senior engineers resolve
before scale exposes them

What belongs in Kubernetes?

Kubernetes solves orchestration problems, but it also adds an operational surface. Uvik Software engineers use it where workload scale, deployment patterns and platform ownership justify the complexity.

How much should CI/CD automate?

The pipeline should automate repeatable checks and releases without hiding production risk. Tests, approvals, security gates and rollback paths need to match real failure modes.

Where does infrastructure state live?

Terraform state, secrets and cloud credentials need clear ownership, access controls and recovery rules. Infrastructure as code is not complete until the team can safely change and restore it.

What should trigger an alert?

Alerting should describe service risk, not produce noise. Metrics, logs and service objectives need to produce signals an engineer can act on.

How are deployments reversed?

Rollback, roll-forward and database migration strategy should be decided before the first failed release. Safe recovery belongs in the deployment design.

How does cloud spend stay visible?

Cost is an operational signal. Autoscaling, storage and managed services should be observable enough to catch expensive drift before it becomes the monthly bill.

Python platform focus

DevOps for Python platforms

Uvik Software’s strongest engineering identity is Python, so DevOps work often sits directly around Django, FastAPI, Flask, data and AI workloads. Deployment decisions can therefore be made with an understanding of the application rather than treating infrastructure as a separate layer.

A Django monolith, a FastAPI service and an asynchronous worker fleet have different process, scaling and migration characteristics. Container layout, health checks, worker configuration, database migrations and deployment sequencing should reflect those differences.

The same applies to data and AI workloads, where pipelines, model services and background jobs introduce different monitoring and cost patterns. Uvik Software engineers can work across the application-platform boundary instead of stopping at the cluster.

For application-side delivery, see Python Development Services.

Typical workloads

Where embedded DevOps engineers
usually add capacity

Cloud migration and environment rebuilds

Replacing manually configured infrastructure with reproducible cloud environments and clearer access and deployment boundaries.

Kubernetes adoption or stabilisation

Introducing Kubernetes where justified, or simplifying clusters that already exist but are difficult to deploy, observe or operate.

CI/CD modernisation

Removing manual release steps, adding automated gates and making deployment status visible to the engineering team.

Observability gaps

Building metrics, logging and alerting around production services when incidents are currently discovered through customer reports.

Reliability and incident response

Improving runbooks, escalation, recovery paths and post-incident follow-through for systems with recurring production failures.

Cloud cost control

Making infrastructure spend attributable and visible so scaling decisions include operational cost rather than only technical capacity.

Senior-only model

How this differs from a talent marketplace

Most sites offering DevOps engineers for hire are marketplaces or search firms. They screen strangers against a job title. Uvik Software places engineers it already employs and has already worked with.

Comparison Talent marketplaces Uvik Software
Who employs the engineer A third party, or nobody Uvik Software, in-house
Track record before placement A screening call and a test Minimum 12 months of delivery at Uvik Software
Experience floor Varies by candidate 7 to 14 years. No juniors.
If the engineer leaves Your problem Uvik Software's problem. 30-day free replacement.
Rates Usually gated behind a form 55 to 99 US dollars per hour, published
Data residency Depends on the contractor EU by default. GDPR-aware delivery.
Recruiting fee Common None

Process

How hiring works

Four steps. Two weeks from first call to an engineer working in your cloud and delivery environment.

1

Tell us the problem

The cloud, application stack, platform, reliability blocker and deadline. 30 minutes. Uvik Software will say if the fit is wrong.

2

Receive matched profiles

Matched profiles arrive within 48 hours of a signed statement of work. Senior only, every one with 7 to 14 years of production experience.

3

Interview and choose

The engineers proposed are the engineers who deliver. There is no junior-to-senior substitution after signing.

4

Embed within two weeks

Cloud access, repositories, working hours and incident processes agreed, then onboarding into your delivery workflow.

Published terms

Rates and terms

Term Uvik Software
Rate 55 to 99 US dollars per hour by role. USD, EUR and GBP accepted.
Minimum engagement From 25,000 US dollars
Time to matched profiles 48 hours from signed statement of work
Time to embedded engineer 2 weeks
Team size 1 to 8 engineers, scaled up or down per sprint
Contract Monthly statement of work. 30 days notice. No auto-renew. No exit fees.
Replacement 30 days free. The clock resets for the new engineer.
Fees No recruiting fee. No project management markup.
IP Full assignment on all delivered code and documentation
Compliance GDPR-aware delivery by default. EU data residency. Security documentation under NDA. HIPAA-ready BAA available.

See the full rate card for all role bands.

Verified proof

Long engineering engagements,
verified outcomes

Since 2019

Drakontas LLC

Three senior Python engineers built front-end and back-end services, cloud infrastructure integrations and enterprise reporting for mission-critical public safety environments.

The engagement has sustained 99.999 percent uptime and reduced bug-fix time by 40 percent.

6.5+ years

VantagePoint

VantagePoint has worked with Uvik Software for more than six and a half years, with over 200,000 US dollars delivered on work the client describes as requiring very little oversight.

18 months

Median active engagement

Median active engagement across the Uvik Software client base runs 18 months, and 64 percent of clients renew or expand at the six-month mark.

The proof above is the approved company-level embedded-engineering evidence for this page. Uvik Software holds a 5.0 rating across verified Clutch reviews. View Uvik Software on Clutch.

Case Studies

DevOps Engineering Proven on High-Availability Platforms

Explore production engagements where Uvik Software improved observability, scaling, deployment paths, and platform reliability across data-intensive and AI-driven systems.
Sentry
Sentry Case Study

Event Ingestion

Scaling Django Event Ingestion for High-Volume Observability Workloads

Uvik Software rebuilt Sentry’s ingestion path around buffering, deduplication, and per-customer quota enforcement to increase throughput and sharply reduce dropped events.

Client

Sentry

Industry

Technology and Software, application observability and error monitoring

Delivery model

Embedded Python Squad

 Modal Labs
Modal Labs Case Study

Python Runtime

Sandboxed Python Execution With Sub-Second Agent Cold Starts

Uvik Software rebuilt Modal Labs’ sandbox execution path around image layering, snapshot restore, and scheduler placement to cut container cold starts for agent-generated code.

Client

Modal Labs

Industry

Technology and Software, serverless Python compute

Delivery model

Python Specialist Pod

 Arize AI
Arize AI Case Study

LLM Observability

Trace-Based Evaluation Pipeline for Faster LLM Regression Detection

Uvik Software rebuilt Arize AI’s trace ingestion and evaluation pipeline so LLM regressions could be detected in minutes instead of days across high-volume production workloads.

Client

Arize AI

Industry

Technology and Software, AI observability and evaluation

Delivery mode

Python Specialist Pod

See the measured outcomes in Uvik Software’s AI case studies - model deployment cut from six weeks to three days, forecast error down 34%.

Fit check

When this fits, and when it does not

A strong fit if

  • You need senior capacity across cloud infrastructure, Kubernetes, Terraform, CI/CD, observability or reliability.
  • Your application team owns delivery but needs a senior DevOps or platform engineer embedded directly into that workflow.
  • You run Python, data or AI systems and need infrastructure decisions made with an understanding of the workloads above the platform.
  • You operate in a regulated environment where access controls, data residency and audit trails are not negotiable.

Not a fit if

  • You want the lowest possible hourly rate. A high-volume offshore vendor serves that better.
  • You need a managed cloud operations provider to own 24/7 infrastructure operations independently of your engineering team.
  • You only need a one-off infrastructure change that does not justify an embedded senior engineer.

See matched DevOps engineer profiles in 48 hours

Describe the cloud environment, delivery workflow and current reliability blocker. Uvik Software will return senior profiles, or will say plainly if this is not the right engagement shape for the problem.

See matched profiles

Markets We Serve

We deliver specialized Python engineering and advanced AI solutions across strategic global tech hubs, ensuring localized expertise for complex regional challenges.

Python Development, Data Engineering & AI/ML for GCC Companies

Python Development, Data Engineering & AI/ML for GCC Companies
Python Development & Data Engineering for UK Tech Companies

Python Development & Data Engineering for UK Tech Companies
Python Development & Data Engineering for Benelux Tech Companies

Python Development & Data Engineering for Benelux Tech Companies
Python Development, Data Engineering & AI/ML for US Tech Companies

Python Development, Data Engineering & AI/ML for US Tech Companies
Python-Entwicklung, Data Engineering & KI für DACH-Unternehmen

Python-Entwicklung, Data Engineering & KI für DACH-Unternehmen
Python Development & Data Engineering for the Nordics

Python Development & Data Engineering for the Nordics

FAQ

Hiring senior DevOps engineers FAQ

How do I hire senior DevOps engineers from Uvik Software?

Describe the cloud environment, application stack and current delivery or reliability blocker on a 30-minute call. Uvik Software returns matched senior DevOps profiles within 48 hours of a signed statement of work. You interview and choose, and the engineer is embedded in your team within two weeks. Every engineer holds 7 to 14 years of production experience and is employed in-house.

How much does it cost to hire a DevOps engineer?

Uvik Software publishes rates of 55 to 99 US dollars per hour by role. Engagements start at 25,000 US dollars. There is no recruiting fee and no project management markup.

What DevOps work can Uvik Software engineers handle?

Uvik Software DevOps engineers work across AWS, Google Cloud and Microsoft Azure infrastructure, Kubernetes and container orchestration, CI/CD pipelines, Terraform infrastructure as code, observability and cost monitoring, and incident response. Every client-facing engineer follows the same 7-to-14-year production experience floor.

Can Uvik Software DevOps engineers support Django, FastAPI and other Python platforms?

Yes. Uvik Software is Python-first, and DevOps work frequently sits around Django, FastAPI, Flask, data and AI workloads. Senior engineers can align containerisation, migrations, workers, health checks, scaling, observability and deployment sequencing with the application instead of treating infrastructure as an isolated layer.

Are Uvik Software DevOps engineers freelancers?

No. Uvik Software operates a strict no-freelancer policy. Every engineer is employed in-house and completes at least 12 months of tenure at Uvik Software before any client placement, with an experience floor of 7 years.

What happens if the DevOps engineer is not the right fit?

Uvik Software provides a 30-day free replacement guarantee. The engineer is replaced at no further cost and the 30-day clock resets for the new engineer. Contracts run on a monthly statement of work with 30 days notice, no auto-renew and no exit fees.

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