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 · DevOps
At Typescriptaz, DevOps means pipeline, infrastructure, and observability as a product. You get a person embedded in your repo—not a vendor with a ticket queue. From preview environments to hardened production: GitOps, secrets, cost controls, and alerts that only sound when it really matters.
Use
Your DevOps engineer ensures code reaches production quickly and safely: pipelines that run in minutes instead of hours, preview environments for every pull request, and deployments that can be rolled back at the push of a button. Infrastructure is defined as code—versioned and reviewable like the rest of your product.
This includes monitoring with logs, metrics, and traces, secrets management based on the least‑privilege principle, and a watchful eye on cloud costs. Those using GitLab can also delegate pipeline work to a GitLab engineer Offer—or combine—both.
For IT decision-makers, DevOps is ultimately a question of risk and pace: how quickly does a change reach production—and how quickly can it be rolled back if something goes wrong? A dedicated person makes both measurable and improves them, step by step.
Typical mandates: Platform teams, scale-ups, regulated industries.
Tools: Kubernetes, Terraform, GitHub Actions, Grafana, AWS, GCP, or Azure
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
DevOps describes a way of working where development and operations collaborate closely to deliver software faster, more securely, and more reliably. It focuses on automation, infrastructure as code, continuous integration and delivery, and observability. A DevOps engineer builds and maintains the platform development teams use—from the pipeline to production monitoring. Success is often measured with the DORA metrics, which reflect delivery speed and stability.
Expertise
Seniority isn’t shown on the resume but in code review. Our team looks for it with DevOps.
01
Automated tests, security scans, and reproducible builds ensure only reviewed code reaches production. A senior DevOps engineer builds pipelines that are fast yet block anything that doesn’t belong there.
02
With Terraform or OpenTofu, Helm, and GitOps, infrastructure is versioned, auditable, and recoverable. Changes go through pull requests — just like application code.
03
Logs, metrics, and traces, combined into dashboards and meaningful alerts, make problems visible before customers notice them. An experienced engineer selects the signals that truly matter.
04
Least privilege, secrets management, container scans, and a look at the cloud bill belong together. A senior quickly spots where permissions are too broad and where unused resources are costing money.
05
Lean, secure images, sensible resource limits, health checks, and autoscaling: a senior operates container platforms so they run stably and don't cost more than necessary.
06
When something fails, clear procedures matter: prioritized alerts, runbooks, and blameless postmortems. That's how the team learns from every incident.
Typical situations
01
If only one person can do releases and nobody likes to deploy on Fridays, we automate the path to production — traceable and repeatable.
02
Long builds, flaky tests, runner queues: We parallelize, cache, and clean up until feedback returns in minutes.
03
Least privilege, auditable deployments, container scans: We bring your delivery to a state auditors will appreciate.
Risk under control
The platform is the foundation for all deployments. These three risks are the ones we see most often in DevOps engagements:
If only one person knows how deployments work, every vacation is a risk. We automate, document, and put configuration into code so your team can take over at any time.
A deployment without a rollback is a gamble. We implement rollbacks as well as blue-green or canary deployments, so any change can be reverted within minutes if needed.
Open access and long-lived keys are an entry point. We implement least privilege, rotate secrets, and log access — auditable for ISO 27001.
Unused instances, oversized databases, and forgotten test environments drive up the cloud bill. We make costs visible, set budgets and alerts, and clean up regularly.
Transparency
Business case
A dedicated DevOps engineer pays off through speed and stability. Automated deployments save hours of manual work each week. Fewer outages and faster recovery protect revenue and reputation. And a critical look at cloud resources often uncovers savings that can partly fund the support itself.
The first two weeks
Analysis, first delivery, clear plan. Read about how we work in general at How we work.
01
Which environments, which pipelines, which access points exist? We document the current state, including risks.
02
A first step goes live, for example, faster builds or preview environments for pull requests.
03
You receive a plan for infrastructure, monitoring, and security—prioritized by benefit to your team.
After kickoff
How a typical engagement develops after the first two weeks—aligned with your backlog.
01
Overview of environments, pipelines, and access, plus a first automated step such as preview environments.
02
Infrastructure as code, rollbacks, and monitoring for the key services.
03
DORA metrics in the dashboard, hardened access, and runbooks for operations.
Example scenario
A scale‑up deploys once a week, manually and only by one specific person. Errors are often discovered days later and rollbacks take hours. A dedicated DevOps engineer first automates builds and tests and introduces preview environments for every pull request.
After that comes infrastructure as code, monitoring, and automated rollbacks. After a few months, the team delivers daily, bugs are detected earlier, and a rollback is a matter of minutes.
For management, this means shorter paths from idea to customer, fewer outages, and a team that no longer fears releases.
Collaboration
Setting up a CI/CD pipeline or migrating to Kubernetes is a project with a clear goal and fits an hour bundle. For the ongoing operation of a growing platform, where new services, environments, and security requirements are continuously added, a person on a monthly plan is the better choice.
With the discovery package, you start with a platform inventory — after that you know where the biggest risks and levers are.
All rates, pools, and effective prices are detailed in the Pricing table.
Straight talk
Not every team needs a dedicated platform role full-time. For small applications with few deployments, a well-configured standard that the development team runs is often sufficient. In such cases, we recommend an hour bundle for setup and a solid handover instead of a permanent placement.
For IT decision-makers
Can the person evaluate your delivery using DORA metrics?
How do you implement rollbacks and secure deployments?
Does it convert existing infrastructure to code without disrupting operations?
How do you implement least privilege and secrets management?
Do they also monitor cloud costs?
Glossary
Continuous integration and delivery: automated building, testing, and deployment of code.
Servers, networks, and services are described as versioned code.
Gradual rollout of a new version to a small subset of users.
The ability to understand a system’s internal state via logs, metrics, and traces.
Often a good fit
For services that run in your containers and need optimization.
Learn more →For database operations, backups, and upgrades without surprises.
Learn more →If you want to run Next.js independently of Vercel on your own infrastructure.
Learn more →Frequently asked questions
Yes. Whether AWS, Google Cloud, Azure, or a European provider: we work with the infrastructure you have and codify it. Switching providers isn't required.
Not always. For a few services, managed container platforms or simple VM setups are often cheaper and easier to operate. We recommend Kubernetes only when scale and requirements justify it.
Both work well. Usually, the deciding factor is where your code already lives. We optimize pipelines on the platform you use and help with a migration when it makes sense.
Many topics belong together: security scans in the pipeline, least privilege, secrets management, and hardened containers. For specialized penetration tests, we recommend external specialists.
With infrastructure as code and unified pipelines, you can operate multiple environments consistently. We check whether multi-cloud is really necessary for you — often it mainly increases complexity.
Often Prometheus, Grafana, Loki, and OpenTelemetry—and commercial solutions like Datadog when required. We build on what you have and add what’s missing.
Four metrics from software delivery research: deployment frequency, lead time for changes, change failure rate, and time to restore. They show how fast and how stable a team delivers.
GitOps is worthwhile if you want to operate multiple environments and services consistently. The desired state is versioned in the repo and applied automatically. For small setups, a simple pipeline is often sufficient.
With architecture overviews, runbooks for common incidents, and infrastructure as code that largely self-documents, your team can act quickly in an emergency.
Often within the first two weeks, for example, through faster builds or preview environments. Larger topics like infrastructure as code or Kubernetes take several sprints and are implemented in stages.
Yes—closely. Pipelines and the platform only work when development teams understand and enjoy using them. That’s why we provide short handovers, documentation, and onboarding support.
Bottom line
A dedicated DevOps engineer makes delivery fast, secure, and auditable. You measure progress with DORA metrics, reduce outages and knowledge silos, and keep cloud costs in check — with a platform your team can take over at any time.
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.