Dedicated DevOps Talent

Hire DevOps Engineers Who Automate Deployment And Keep Systems Reliable

Bring on a vetted DevOps engineer, or a full dedicated team, hourly, part-time or full-time, to build CI/CD pipelines, containerise and orchestrate with Docker and Kubernetes, define infrastructure as code, wire up monitoring and alerting, and harden the systems your product runs on.

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See Engagement Models

CI/CD

Pipelines, containers, IaC

3 models

Hourly, dedicated, project-based

1 wk

Typical time to onboard an engineer

No lock-in

Month-to-month engagements

Our Clients

Trusted by Visionaries, Built for All

Bold startup or growing enterprise, we craft digital experiences engineered to scale with your vision.

CI/CD Automation
Docker & Kubernetes
Infrastructure As Code
Cloud (AWS/GCP/Azure)
Monitoring & Observability
Security Hardening

Why Hire DevOps Engineers

Engineers Who Make Deployment Boring In The Best Way

Plenty of people can copy a pipeline template. Our engineers understand where the real decisions live, how to structure a CI/CD pipeline that is safe to run on a Friday, when to reach for containers over servers, how to codify infrastructure so it is repeatable, and how to see failures before your users do. The result is fewer surprise outages and releases that stop being an event.

Pre-Vetted Skills

Every engineer is assessed on real DevOps work, pipelines, containers, infrastructure as code and incident response, not a generic coding puzzle.

Flexible Engagement

Scale from a single engineer to a full platform team as your infrastructure grows, without renegotiating a new contract each time.

Fast Onboarding

Most engagements start within a week, with an engineer who can read an existing pipeline and cloud setup and start improving it from day one.

No Long-Term Lock-In

Month-to-month engagement. Scale up, scale down or wrap up the work without a fixed-term contract working against you.

Engagement Models

Three Ways To Bring A DevOps Engineer Onto Your Team

Pick the model that fits how much infrastructure work you actually have, not a one-size-fits-all retainer.

Hourly

For a pipeline fix, a cloud cost review, or a project whose scope is still moving.

Billed for hours actually worked
No minimum monthly commitment
Good fit for fixes and focused tasks

Dedicated Engineer

An engineer works exclusively on your infrastructure, part-time or full-time, for the length of the engagement.

Consistent engineer, no context switching
Direct communication with your team
Best for ongoing platform work

Project-Based

A fixed-scope piece of work with a defined deliverable, timeline and price.

Clear scope agreed before work starts
Fixed cost, fixed timeline
Best for a single, well-defined build

Skills Our Engineers Cover

Everything A DevOps Project Actually Needs

CI/CD Pipelines
Docker & Containers
Kubernetes
Infrastructure As Code (Terraform)
AWS, GCP & Azure
Monitoring & Observability
Log Aggregation
Incident Response
Auto-Scaling
Secrets Management
Cost Optimisation
Security Hardening

Freelancer vs Agency vs Dedicated Team

Choosing The Right Way To Staff A DevOps Project

Model	Reliability	Communication	Best For
Freelance Marketplace	Variable, depends entirely on the individual	Often async, timezone dependent	Very small, one-off tasks
Traditional Agency	Consistent but slower to scale up or down	Layered through account managers	Large, fixed-scope projects
Dedicated Engineer (Us)	Vetted, consistent, direct accountability	Direct with the engineer and our team	Ongoing platform and reliability work

How Hiring Works

From First Call To Onboarded Engineer

1Discovery Call

2Engineer Match

3Trial Task

4Onboarding

5Ongoing Delivery

Day 1

Discovery Call

We look at your infrastructure, how you deploy today, where things break, and the specific DevOps skills you need.

Day 2 to 4

Engineer Match

We shortlist engineers whose real project history matches your cloud, tooling and requirements.

Day 4 to 6

Trial Task

A small paid trial task on your actual setup, so you see real working infrastructure before committing.

Week 1

Onboarding

Cloud access, repo, CI system and communication channels set up so the engineer can start contributing immediately.

Ongoing

Delivery

Regular check-ins and progress updates, with the flexibility to scale the engagement up or down.

How Fast Can An Engineer Start?

Most engagements begin within a week of the discovery call, sometimes sooner for urgent incidents.

AI And Our DevOps Engineers

AI Tooling That Helps Our Engineers Move Faster And Safer

Our DevOps engineers use AI tooling as part of the day-to-day workflow, not as a gimmick. AI-assisted authoring drafts the first pass of Terraform modules, Kubernetes manifests and pipeline configs, so more time goes into architecture and the tricky edge cases. AI-assisted review reads infrastructure changes and flags likely misconfigurations, an open security group, a missing resource limit, a secret about to be committed, before they reach production. And when something does break, AI-assisted analysis helps summarise logs and metrics so the on-call engineer finds the cause faster. A human engineer still owns every change that ships.

Explore our AI development services

AI-assisted DevOps workflow

Draft Terraform and pipeline configsAuthoring

Flag misconfigs and exposed secretsReview

Summarise logs during an incidentAnalysis

Tech Stack

The DevOps Stack Our Engineers Work In Daily

From the containers and orchestration to the tooling that keeps a system deployable, observable and secure in production.

Docker
Kubernetes
Terraform
Ansible
AWS
GCP
Azure
GitHub Actions
GitLab CI
Jenkins
Prometheus
Grafana
Helm
Nginx

Why Raulji

A DevOps Team That Owns The Outcome

You are not renting a resume. You get an engineer backed by a team that can cover the rest of the platform too, from the pipeline that ships your code to the servers that keep it running.

Full-Service DevOps Team

Need more than one engineer? We cover the whole DevOps services range, so extra hands are already in-house.

Pipelines Done Properly

Release automation is our bread and butter. Our CI/CD pipelines work makes deployments repeatable and safe to run any day of the week.

Servers Kept Healthy

When the infrastructure needs day-to-day care, our server management team keeps it patched, monitored and running.

What The Work Looks Like

Three Typical DevOps Engagements

To show how an engineer actually slots into an infrastructure roadmap, here are three example scenarios that reflect the kind of work these engagements cover.

Please read these as illustrative examples, not client case studies. They describe representative DevOps work rather than any specific customer, and the outcomes described are not measured results. Our published, verifiable client results are eCommerce projects, and you can read those in full on our case studies page.

Illustrative example
CI/CD pipeline

A Team Still Deploying By Hand

The situation: releases go out through a mix of manual steps, someone SSHing into a box, copying files and restarting services. Deploys happen late at night because they are risky, rollbacks are improvised, and only one person really knows the ritual.

How the engagement runs: a dedicated engineer builds a real CI/CD pipeline, tests and builds on every commit, a repeatable deploy that anyone on the team can trigger, and a one-click rollback. The manual ritual becomes an automated pipeline, so releases stop being an event and stop depending on a single person.

Illustrative example
Containers and orchestration

An App That Cannot Scale Past One Server

The situation: a product runs as a single process on a single server. It works until traffic spikes, and then it falls over. There is no clean way to run a second copy, and setting up a new environment means reproducing a long list of undocumented steps by hand.

How the engagement runs: an engineer containerises the app so it runs the same way everywhere, then orchestrates it with Kubernetes so it can run multiple copies behind a load balancer and heal itself when a container dies. New environments come from the same manifests, and the app can scale out under load instead of tipping over.

Illustrative example
Reliability and cost

A System That Is Both Flaky And Expensive

The situation: a platform has intermittent slowdowns nobody can explain, because there are no real metrics or alerts. At the same time the monthly cloud bill keeps climbing, with oversized instances left running around the clock whether or not they are needed.

How the engagement runs: an engineer wires up monitoring and dashboards so the system is finally visible, sets alerts on the signals that matter, and adds autoscaling so capacity follows demand instead of sitting idle. Right-sizing instances and cutting the waste brings the bill down, while the alerts catch problems before users report them.

Frequently Asked Questions

Common Questions About Hiring DevOps Engineers

How quickly can I hire a DevOps engineer from you?

For most engagements we can have a suitable DevOps engineer working with your team within a few days, and onboarding is usually complete inside a week. We match you to an engineer whose experience fits your cloud and tooling rather than assigning whoever happens to be free.

What engagement models do you offer?

Three main ones: hourly for smaller or ad-hoc work, a dedicated engineer who works with you full or part time as an extension of your team, and project-based for a defined piece of work with a fixed scope and price. We help you pick the model that fits your budget and workload.

What DevOps skills do your engineers have?

Our engineers cover CI/CD pipelines, Docker and Kubernetes, infrastructure as code with Terraform, cloud platforms including AWS, GCP and Azure, monitoring and observability, log aggregation, incident response, auto-scaling, secrets management, cost optimisation and security hardening. We match the specific skills to what your infrastructure needs.

Can you set up CI/CD and infrastructure from scratch?

Yes. If you are deploying by hand today, an engineer can build a proper pipeline, define your infrastructure as code so it is repeatable, and set up the monitoring and alerting that tells you when something is wrong before your users do.

Which cloud platforms do you work with?

AWS, Google Cloud and Azure are all common for our engineers, along with the tooling around them such as Terraform, Kubernetes, Helm and the major CI systems. We work within the platform you already use rather than pushing you to switch.

Can you containerise an application and move it to Kubernetes?

Yes. A frequent engagement is taking an app that runs on a single server, containerising it, and setting up orchestration so it can scale, roll out safely and recover on its own. We do this in stages so the service keeps running through the move.

Can you help with reliability and cloud cost problems?

Yes. Our engineers add monitoring and observability to find where a system actually struggles, tune autoscaling and resources, and remove waste, so you get better reliability and a lower bill rather than one at the expense of the other.

Can a dedicated engineer work in my time zone?

We arrange overlapping working hours so your dedicated engineer is available for calls, deployments and quick turnarounds during your business day, so it feels like having an in-house team member rather than a hand-off at the end of the day.

How do we get started?

Send us a short note about your infrastructure, your cloud and the DevOps work you need through the form on this page. We reply within one business day, set up a discovery call, and from there match you with an engineer, usually within days.