TypeScript
Types that deliver
React
UI that converts
Next.js
App Router, seriously
Angular
Enterprise, modern
Nuxt
Vue, full stack
NestJS
APIs with boundary protection
Vue
Precise UIs
Node.js
Runtime with responsibility
Remix
Web fundamentals first
Medusa.js
Composable Commerce
StrapiContent APIs with control
DirectusSQL data as secure APIs
Payload CMSNext.js backend in TypeScript
Encore.tsAPIs and infrastructure as code
Shopify HydrogenShopify storefronts built with React.
VendureHeadless Commerce for B2B
HTMX
HTML that works
JavaScript
Edge language
Alpine.js
Interaction without bloat
Vanilla JS
Framework-free, full control
React Native
Mobile, one team
PostgreSQL
Data that lasts
DevOps
Pipelines that deliver
GitLab
Repo, CI, releases
Dedicated resource · GitLab
GitLab is most effective when someone truly shapes runners, pipelines, and permissions. A dedicated GitLab engineer from Typescriptaz brings order to your delivery—on GitLab.com or your own instance. From merge request hygiene to release trains: components, environments, and security scans that hold up in daily use.
Use
In many organizations GitLab has grown over years: copied .gitlab-ci.yml files, runners with unclear ownership, permissions managed by feel. Your GitLab engineer introduces reusable CI/CD components, structures groups and permissions, and ensures pipelines run quickly and transparently.
With GitLab and the Duo Agent Platform, AI agents become part of daily development — from security reviews to custom flows. We help you introduce this in a controlled way: with clear rules for what agents may do and with security scans that should run anyway. If it’s more about Kubernetes, Terraform, and cloud, a DevOps engineer The right complement.
For IT leads, GitLab is often more than a tool: it's the central place for code, approvals, and compliance. That makes it all the more important that permissions, pipelines, and updates are well organized—auditable and reliable for all teams.
Typical mandates: Platform teams, regulated industries, organizations with many repositories.
Tools: GitLab CI/CD, GitLab Runner, Terraform, Kubernetes, Container Registry
Book directly
$12,500 / month
150 hours, directly employed and dedicated solely to your backlog. At kickoff, you meet the person before work begins.
Quick explanation
GitLab is a DevSecOps platform that unifies version control, CI/CD, security scans, package and container registries, and project management in one application. Companies use it as SaaS on GitLab.com, as a self-hosted instance (Self-Managed), or as a dedicated, vendor-operated instance (GitLab Dedicated). A new version is released every month, plus regular security updates. With the Duo Agent Platform, the vendor adds AI agents that can take on tasks across the development process.
Expertise
Seniority isn’t shown on the resume but in code review. Our team looks for it with GitLab.
01
A senior GitLab engineer builds reusable CI/CD components and publishes them through the catalog. Platform teams maintain standards centrally while product teams can easily consume them.
02
Self‑hosted runners on Kubernetes, autoscaling, caching, and isolation between projects: a well‑planned runner infrastructure saves time and money and reduces security risks.
03
Group structure, roles, protected branches, approval rules, and audit events: An experienced engineer configures the platform so that requirements are met without slowing development.
04
Updates, backups, geo‑replication, and monitoring of your own instance require experience. Regular security updates should be applied promptly—planned and tested.
05
Switching from Jenkins, GitHub, or Bitbucket requires more than copying repositories. An experienced engineer transfers pipelines, permissions, and history so teams can continue working without interruption.
06
SAST, secret detection, dependency and container scanning, plus merge request policies: a senior configures security checks so they run reliably without slowing progress.
Typical situations
01
Hundreds of similar CI files, each slightly different? With centralized CI/CD components, you maintain standards in one place.
02
Updates, backups, runner scaling, and monitoring for GitLab self‑managed: we keep your instance up to date and stable.
03
SAST, secret detection, and dependency scanning run automatically in every merge request—with rules that protect without being annoying.
Risk under control
GitLab centralizes code, pipelines, and access in one place. The impact is therefore significant when something goes wrong. We mitigate these three risks:
Security updates are released regularly. A self‑managed instance that is not updated promptly becomes a risk. We schedule updates, test them beforehand, and keep the upgrade path clean.
Copied CI files with local variations make it hard to enforce standards and security policies. With central components and compliance pipelines, rules apply to all projects at once.
The Duo Agent Platform can automate a lot—including things that shouldn’t be automated. We define which agents may operate where, which data they can see, and which changes require human approval.
Shared runners can expose secrets and artifacts from other projects if misconfigured. We isolate runners, restrict permissions, and consistently separate sensitive projects.
Transparency
Business case
A dedicated GitLab engineer pays off through time saved across all teams. Faster pipelines mean less waiting for every merge request. Central standards reduce maintenance effort across hundreds of projects. And well-prepared audits save days of evidence work that would otherwise tie up development and management.
The first two weeks
Analysis, first delivery, clear plan. Read about how we work in general at How we work.
01
Groups, projects, runners, pipelines, permissions: We get an overview and find the biggest time sinks.
02
A first CI/CD component or an optimized runner goes live and measurably saves pipeline time.
03
You receive a roadmap for components, permissions, security, and upgrades for your instance.
After kickoff
How a typical engagement develops after the first two weeks—aligned with your backlog.
01
Overview of groups, projects, runners, and permissions, plus an initial central CI/CD component.
02
Further projects will migrate to the components, runners will be optimized, and security scans will be enabled step by step.
03
An upgrade plan for the instance, compliance pipelines, and clear rules for using GitLab Duo.
Example scenario
Over the years, an industrial company has accumulated about 200 repositories, each with its own CI configuration. Security requirements are hard to enforce and pipelines are slow. A dedicated GitLab engineer analyzes the variants and builds a handful of central components.
Projects are migrated gradually, and security scans then run automatically everywhere. Runners move to Kubernetes with autoscaling—pipelines get faster, and audit evidence can be produced with a few clicks.
For the company, this means less effort for each audit, consistent security standards across teams, and pipelines that no longer hold anyone up.
Collaboration
Introducing CI/CD components or migrating off Jenkins works well with an hour bundle. If you run your own instance with many teams and ongoing requests, a dedicated developer on a monthly plan is the more sensible solution.
The discovery package starts with an inventory of your instance—so you can quickly see where time and security are being lost.
All rates, pools, and effective prices are detailed in the Pricing table.
Straight talk
Not every organization needs its own instance. For smaller teams without special data-handling requirements, GitLab.com is often cheaper and simpler. And if you’re already satisfied with GitHub, switch only for clear advantages. We advise you with no platform preference.
For IT decision-makers
Has the person already built CI/CD components for many projects?
Can they plan and operate a runner infrastructure on Kubernetes?
How do you implement compliance requirements in GitLab?
What experience does she have with updates and backups of self-managed instances?
How do you roll out GitLab Duo in a controlled way?
Glossary
Reusable pipeline building block that teams can add via the catalog.
A service that runs pipeline jobs—hosted or self-hosted.
A branch with rules defining who may push or merge.
AI features and agents, from code suggestions to automated workflows.
Often a good fit
GitLab Self-Managed runs on PostgreSQL—for your instance’s upgrades and performance.
Learn more →For monorepos where you want the build graph to run faster in the pipeline.
Learn more →For the services that build, test, and deliver your pipelines.
Learn more →Frequently asked questions
GitLab.com saves you the operational overhead; Self-Managed gives you full control over data and configuration. In regulated industries, Self-Managed or GitLab Dedicated is often required. We support all variants—and migrations between them.
Yes. We migrate pipelines step by step, run old and new systems in parallel for a period, and only switch off once everything is stable.
That depends on the configuration. We'll define which groups and projects may use Duo, which models are used, and which data agents can see—aligned with your security requirements.
It depends on your requirements. Many features for compliance, security dashboards, and advanced approvals are only available in higher editions. We help you realistically assess the need before you purchase licenses.
Yes—part of the mandate: updates, backups, monitoring, and runner maintenance. On‑call arrangements outside business hours are agreed with you separately.
Yes. With GitLab Dedicated, GitLab operates the instance. Configuration, pipelines, runners, and permissions remain your responsibility—and that’s exactly where we support you.
That depends on tests, artifacts, and runners. With caching, parallelization, and suitable runner infrastructure, runtimes can often be significantly reduced. We measure before and after.
Incremental: first make issues visible, then prioritize critical findings, and only after that block Merge Requests. This raises security without slowing development.
Yes. We plan the upgrade path, test in a staging environment, and perform the update in a coordinated maintenance window.
That depends on size, availability requirements, and the number of runners. In addition to operation, there are updates, backups, and monitoring. We help you estimate the effort realistically before you decide.
Technically, yes—for example via mirrored repositories. Over time, a platform is usually cheaper and easier to manage. We help with the decision and with any migration.
Secrets don't belong in repositories. We use masked and protected variables, external secret stores like HashiCorp Vault, and short‑lived tokens to keep credentials secure.
Bottom line
A dedicated GitLab engineer brings order to pipelines, runners, and permissions. You get faster merge requests, unified security standards, and an instance that remains up‑to‑date and audit‑safe — including clear rules for the use of AI agents.
Next step
Tell us the stack, scope, and start window. We usually respond within one business day—with a specific person instead of a stack of profiles.
Quick contact
TypeScript resources from Austria and Germany, permanently employed with us. Tell us the stack, scope, and desired start date. We typically respond the same business day — with availability, appropriate seniority, and a concrete start window.
US & European billing
Choose the contracting entity that fits your procurement process. Engagements can be contracted and invoiced through our European locations or through Anexia Inc.152 W. 57th Street, 7th Floor, New York, NY 10019, USA. Talk to us about billing.