Since 2010
15+ Years Building
DevOps Engineering So You Can Deploy on a Friday
Pipelines that deploy safely, infrastructure defined as code, observability that answers questions instead of creating alerts, and on-call rotations that let people sleep. Fixed written quotes, senior platform engineers.
- 15+ years
- Building Software
- 500+
- Engineers
- 25+
- Countries Served
- 100%
- Source-Code Ownership
Trusted by the brands we build for
A track record you can verify
9,000+
Projects Delivered
3,900+
Apps Shipped
500+
Engineers
insight
What DevOps Engineering Means at Moxace
DevOps engineering at Moxace means the delivery system treated as a product: CI/CD pipelines that make deployment boring, infrastructure as code that makes environments reproducible, and observability designed around the questions you will actually ask at 3 a.m.
Bring us in when releases are events instead of routine, when environments drift and only one person knows why, or when your team needs platform engineering capacity without hiring a platform team. We build the system, document it, and hand it over, or run it with you.
What Every DevOps Engineering Engagement Includes
Scoped in writing before the first sprint. If it is not on this list, we will tell you exactly what it costs to add it.
CI/CD pipelines
Fast, parallel pipelines with quality gates, preview environments, and deployment strategies matched to risk tolerance.
Infrastructure as code
Terraform-managed environments across clouds, reviewed in pull requests and reproducible from scratch.
Observability that answers
Metrics, logs, and traces correlated with dashboards and alerts tuned to page on symptoms, not noise.
Secrets and security
Secret managers, least-privilege access, and dependency and image scanning integrated into the pipeline.
Environment parity
Development, staging, and production built from the same code, so staging failures stop surprising anyone.
Runbooks and handover
Every system documented with operational runbooks, so knowledge lives in the repository, not in one engineer's head.
What You Can Build With DevOps Engineering
Representative outcomes our DevOps Engineering teams deliver.
Platform foundations
Pipelines, IaC, and observability built for products that plan to grow.
Release turnarounds
Deployments moved from quarterly events to daily routine without added risk.
Cloud cost programs
Infrastructure estates rightsized and governed with budgets and visibility.
Incident readiness
On-call structures, runbooks, and postmortem practices that turn incidents into learning.
How the engagement runs
From first call to handover, with a working build to see every two weeks.
- 01
Scoping call
One hour on delivery pain, infrastructure, and team shape, ending with a fixed written quote.
✓ step 01 complete - 02
Platform audit
Pipelines, infrastructure, and observability reviewed with a written improvement plan.
✓ step 02 complete - 03
Two-week build sprints
Platform improvements shipped every two weeks, each one measured against delivery metrics.
✓ step 03 complete - 04
Verification
Failure drills, rollback tests, and alert reviews run as standard practice.
✓ step 04 complete - 05
Handover or partnership
Documented systems handed to your team, or ongoing platform support with clear SLOs.
✓ step 05 complete
The adjacent stack we bring
DevOps Engineering never ships alone. These are the pieces we routinely wire around it.
Terraform
Infrastructure as code across clouds and environments.
GitHub actions and gitLab CI
Pipelines tuned for speed and safety.
Argo CD
GitOps deployment where the repo is the source of truth.
Prometheus, grafana, openTelemetry
Observability correlated across metrics, logs, and traces.
Vault and SSO
Secrets and access managed with least privilege.
AI inside the build
Where models genuinely earn their place in DevOps Engineering work. Each ships wired to your data and sharpens as usage compounds.
AIOps assistants
Alert triage assisted by models that correlate signals before paging humans.
Reads
Historic devops engineering usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
AI in pipelines
Code review and test-selection models integrated into CI, measured honestly.
Reads
Historic devops engineering usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Anomaly detection
Metric baselines learned by models, catching drift before thresholds would.
Reads
Historic devops engineering usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
AI workload ops
GPU scheduling and inference-serving infrastructure managed like any other platform.
Reads
Historic devops engineering usage data and product telemetry
Changes
Recommendations retrain as new data arrives, without a rebuild
Every build ships with
Standard inclusions on every engagement. Nine things you never have to ask for.
100% source code, full IP
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
Named senior team
The engineers who scope your build are the ones who write it. No bait-and-switch staffing.
Architecture blueprint
A documented system design covering data model, integrations, and scaling path, written before the first sprint.
Sprint demos every 2 weeks
A working build demonstrated every two weeks, so you steer continuously instead of waiting for a reveal.
QA and security testing
Automated and manual QA on every build, plus a security checklist on each release candidate.
CI/CD and monitoring
Pipelines, cloud deployment, alerting, and observability configured from day one, so launch is a rehearsed event.
Fixed written pricing
A scoped quote in writing before work starts. No hourly meter, no surprise invoices mid-build.
60 days support
A post-launch support window covering bug fixes and environment issues, standard on every engagement.
Handover documentation
Code, infrastructure, and runbooks documented so any team, ours or yours, can pick the product up cleanly.
Hire a dedicated team or run a Fixed-scope project
Both tracks deliver the same DevOps Engineering quality bar. The difference is control, timeline, and how the work is priced.
| Criteria | Dedicated Team (Hire) | Fixed-Scope Project |
|---|---|---|
| Best for | Ongoing DevOps Engineering work with evolving priorities | A defined outcome with a clear finish line |
| Pricing | Predictable monthly team rate | Fixed written quote after scoping |
| Team | Engineers embedded in your rituals and tooling | Our PM, our process, demos every two weeks |
| Flexibility | Reprioritize the backlog any week | Change requests estimated and scheduled |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| Start time | Team in place within 1-2 weeks | Kickoff within days of the signed scope |
/10
Why Teams Choose Moxace for DevOps Engineering
Built by engineers who have shipped production software since 2010.
AI-first engineering
Where it genuinely helps, we fold AI into DevOps Engineering work, from assistants to automation, drawing on 120+ AI products already in production.
Senior-only staffing
You get engineers who have done this before, not a junior bench learning on your budget.
Ownership and cost
A fixed written quote, 100% source-code ownership, and no licensing strings on your own product.
Global delivery, local accountability
500+ engineers serving clients in 25+ countries, with DevOps Engineering work demoed live every two weeks.
DevOps Engineering FAQs
All product names, trademarks, and brands referenced are the property of their respective owners, used for identification purposes only. Read the full legal notice on our disclaimer page.