DevOps Engineers Who Work Inside Your Stack
SuppleDev places DevOps and cloud engineers in your team, providing DevOps services that span CI/CD pipelines, Terraform-based infrastructure as code, Kubernetes, managed cloud operations and cloud migration on AWS, Azure or GCP for US founders, CTOs and engineering managers who want calmer, quicker releases. Engineers are in place after 3–5 business days, work in your sprints, tools and process, and your headcount with us can grow or shrink while the signed agreement stays as it is. Most clients open with a free DevOps assessment, then pick embedded engineers, a fixed implementation project or ongoing managed support.
DevOps Engineers in Your Team, a Fixed Project or Managed Cloud
Most CTOs who reach out already know roughly what's broken in their delivery setup. What they're unsure about is how to buy the fix, so here's a plain look at how our three formats differ day to day.
| DevOps engineers in your team | Fixed implementation project | Managed cloud / DevOps as a Service | |
|---|---|---|---|
| Fits you when | Your infra backlog keeps growing and you'd like extra hands, with no handover | You need one defined outcome, like a new pipeline or a Kubernetes rollout | Your environments are steady and you'd rather not staff on-call yourself |
| Start | 3–5 business days | After a 1–2 week assessment with listed deliverables | Once environments are documented and access is granted |
| Who sets priorities | Your engineering lead, in your tracker | Milestones written down and signed before work begins | A monthly scope that follows how many environments we look after and the support tier you pick |
| How it's priced | Monthly per engineer (see the table below) | Fixed scope measured against written results criteria | Monthly retainer |
| Changing size | Ask for another engineer or let one go, on the same paperwork | Change requests against the signed scope | Coverage adjusted as your setup changes |
As typical market practice, DevOps-as-a-Service retainers start somewhere in the low thousands of US dollars per month, and cloud migrations are usually quoted workload by workload. Our own confirmed rates are hourly, and since we lead with people placed inside your team, we show them as the cost of one engineer working a full month of 160 hours:
| Role | Full-time month (160 h) |
|---|---|
| DevOps or cloud engineer | $10,400–12,000 |
| QA automation engineer for pipeline suites | $7,200–8,800 |
| Software developer for platform work | $10,400–12,000 |
We don't set a minimum engagement size. Where your rate sits within each band comes down to seniority, stack, how much your working day overlaps with ours, the length of the agreement and the format you choose. The full terms for embedded engineers live on our staff augmentation page, and managed DevOps services get scoped once the assessment is done.
On the managed side, cover during your working day is the default, and anything closer to round-the-clock on-call gets agreed tier by tier. In every format, runbooks, dashboards and cloud accounts stay in your name, you own all code and IP we produce, and we sign an NDA before discovery starts.
Choosing comes down to 3 questions. If you want to steer the work daily, embed engineers; if you need one deliverable with a clear finish line, scope a project; if you'd rather someone else carry the pager, choose managed cloud.
Say your in-house team has twice as many tickets as it did before the latest raise. The developers can still ship features, yet nobody has time to split the monolith's deploy or tidy up the cloud account. That's the textbook case for one or two embedded DevOps engineers, released again once the queue is back under control.
What Are DevOps Services?
DevOps services are outside help with designing, setting up and then running the practices and tooling a team relies on to build, test, ship and operate software dependably: delivery pipelines, IaC, containers, observability and security controls that tie everyday development to everyday operations.
DevOps stands for development and operations, two jobs that used to live in separate departments with a ticket queue between them. Plain cloud hosting gives you servers and an invoice, yet it says nothing about how code travels from a merge request to production or how a bad change gets reversed. DevOps as a Service sits at the far end of the spectrum: a vendor takes on watching, paging and spend reviews as an ongoing job. Many of the companies we work with land in the middle, keeping ownership of their platform while borrowing engineers to build and run parts of it.
DevOps and Cloud Work We Handle
Each card below is something our engineers can pick up while sitting in your team, or deliver as standalone scoped work. Each closes with a verification step your engineers are free to rerun.
DevOps Consulting and Assessment
We trace how a commit reaches production today, list the bottlenecks and give you a roadmap ordered by effort and impact. You'll see the current-state map and baseline figures signed off before anybody proposes a change.
CI/CD Pipeline Implementation
We build or rework pipelines in GitLab CI, Jenkins or the system you already run, with test automation wired into every build. A pipeline counts as finished once a failing test reliably stops the merge.
Infrastructure as Code
Your environments get described in Terraform or CloudFormation, reviewed like application code and versioned in your repository. To prove it holds, we rebuild staging from scratch and diff it against the running environment.
Containers and Kubernetes
We package services with Docker, stand up Kubernetes clusters and tune autoscaling so scalability matches the traffic you really see. Before handover, a load run and a node-failure drill show how the cluster behaves when things go wrong.
Cloud Migration and Modernization
Whether the destination is AWS, GCP or Azure, or you're switching between them, we plan each workload with your engineers and choose the path that suits it. Each cutover is checked against a pre-migration baseline covering functions, performance and data.
Managed Cloud and DevOps as a Service
We watch your environments, respond to incidents during the working day as standard, add extended on-call if you ask for it, and run FinOps cost reviews. A monthly summary sets incidents, availability and spend beside the targets you chose.
DevSecOps and Cloud Security
Security scans run inside the pipeline, secrets move out of config files and access shrinks to least privilege. Our cloud security consulting ends in a findings list your team can retest, with every high-risk item closed or formally accepted.
Monitoring and Observability
We connect metrics, logs, traces and alerts so an alarm points toward a cause and responders start with evidence. Confirmation comes from firing test alerts and making sure each one reaches the right person.
How We Plug Into Your Infrastructure Team
We don't arrive with our own ticketing system or a parallel status meeting. Once you've picked your engineers, the first weeks usually unfold like this:
- Week 1: access and a baseline. Your new DevOps engineer joins your chat, picks up cards in Jira or ClickUp and reads through the infrastructure. They record your deployment frequency, the lead time from merge to users, what share of changes fail and how quickly service comes back, then share a short write-up of pipelines, environments, release habits and cloud spend.
- Targets on paper with your lead. Before changes start, we note what success means for this work, such as quicker deploys, zero-downtime releases, a suite that runs on every build or a monthly cost ceiling. Those notes go into Confluence or wherever your team keeps decisions.
- Design reviewed in your forum. We sketch the target architecture, the Terraform layout and the gated stages of the new pipeline, then walk your architects through it. Nothing gets built until your side approves.
- First sprint and onward. Implementation follows your sprint cadence, typically two weeks, and every change passes through staging on its way to production. Our engineers demo at your sprint review and take part in retros, so the work stays visible to everyone.
- Cutover, where it applies. Migrations and major pipeline swaps get a rollback plan, a rehearsal and a verification run against the week 1 baseline. Cutover dates sit in your release calendar, agreed with your stakeholders.
- Steady-state operations. When things settle, we keep alerting, incident duty and spend checks going, or hand them to your staff with runbooks. Reducing the team later needs two weeks' notice, with no penalty attached.
Think of a digital agency facing a month where three of its clients all go live. This rhythm lets one embedded engineer prepare all three environments while the agency's own leads keep ownership of each release.
We also adapt to the operating model you already have. If your people practice SRE, our engineers work to your error budgets, service-level objectives and incident response runbooks. If you run GitOps, every infrastructure change goes through a pull request to the config repository, reviewed by someone on your side before it merges.
Tests in the Pipeline, Not Bolted On
SuppleDev began life as a QA company, and that history shapes the way we lay out a delivery pipeline. A typical run moves from compiling the build to unit and API checks, then a staging deploy, UI and regression autotests, a security scan, a human approval, the production release and finally smoke tests.
Three things block a release outright: a failed critical test, a high-severity scan finding or a broken smoke check after deploy. Nobody overrides those quietly; the person approving an exception leaves their reasoning in the ticket.
Flaky tests get quarantined, flagged in Jira and either repaired or removed, so they can't wear down your team's trust in the gate. Test environments come from the same Terraform code as production, which makes a pass on staging worth something.
For us, continuous testing simply means no change reaches users without passing the same checks as the one before it. Release management stays with your team: we tag versions, write release notes in your format and keep the rollback path one command away, but the decision to ship is yours.
On automation projects, a manual regression of up to 3 days typically comes down to 1–2 hours once the pipeline runs it. Our engineers write suites in pytest, WebdriverIO or Selenium/Selenide and keep API checks as Postman collections the pipeline can call. With gates like these on every build, over 97% of the critical defects in our projects get caught while the change is still on its way to users.
Cloud Migration With Your Team
Your engineers know the system's quirks better than any outside consultant, so we run cloud migration services alongside them and keep them in every decision. For each workload we pick one of three routes: lift-and-shift when it simply needs a new home, re-platform when a managed database or container service saves real effort, or re-architect when the current design blocks scaling.
Before any cutover, we verify five things with your team:
- Functional regression against the pre-migration baseline
- Performance parity under realistic load
- Data integrity checks on records, counts and relationships
- A rollback that's been rehearsed end to end
- Cost validation for the new setup
The downtime window gets planned in writing with your stakeholders before a date is fixed. If you only need cloud migration consulting or broader cloud infrastructure consulting, we can stop at a plan your people execute, and we'll still review the verification steps with them.
Hybrid and multi-cloud setups follow the same routine. Workloads that stay on premises or on a second provider get their own baseline, so a cross-cloud call that slows down after the move shows up in testing and not in a customer complaint.
Why SuppleDev for DevOps
Among DevOps consulting companies, we try to stand out by fitting your setup more than by bringing a methodology of our own. Four things sum up how that works for a DevOps services company like ours.
Engineers who fit how you already run things
Our DevOps engineers begin within 3–5 business days and slot into your sprints, tools and process. If you need more of them next quarter, or fewer, you change the number and keep the contract you signed.
Pipelines from a QA-first company
Our founder spent 7+ years as a QA engineer and is certified to test web apps and APIs against the OWASP Top 10. That's why our quality gates actually block, and our pipeline security checks follow that list.
Targets agreed before work starts
Goals for deploy speed, downtime and cloud spend get written down with your lead at the start, and progress reports refer back to them.
Talk straight to the people running your infrastructure
You message the engineers doing the work in a channel you both share. Our Head of Delivery keeps an eye on the engagement, but nobody stands between you and them.
Who We Work With
Our engineers bring experience from SaaS, fintech, healthcare, e-commerce and logistics. Cloud consulting services from us tend to start in one of these five situations:
- SaaS products outgrowing their first cluster, where autoscaling and noisy neighbors start to hurt during busy hours.
- Young companies moving off one server or a PaaS, often after the first large customer asks about uptime and recovery.
- Fintech and healthcare teams that need pipelines an auditor can follow, for instance a fintech team whose only QA engineer quits just weeks before an audit; we produce the evidence, while SOC 2 or HIPAA compliance stays your responsibility.
- Teams that dread deploying late in the week, because releases still depend on a manual checklist and one person's memory.
- Companies watching the cloud bill climb faster than traffic, with nobody assigned to rightsizing or reserved capacity.
A Free QA Audit of the Tests Your Pipeline Runs
A pipeline is only as useful as the checks inside it. The Free QA Audit hands you an independent read on what your builds actually verify, and your engineers can use it even if we never sign anything together.
Here's what we look at:
- The automation you already have: what it covers, how it's put together and how often it catches real regressions
- Your automation architecture, including which framework you chose and what triggers each suite in CI
- Business-critical flows that no test currently protects
- What to automate next, ranked by the release risk it removes
- Gaps and risks between merge and production, including flaky suites and skipped stages
Within 2–3 business days of receiving access and product details, you'll get a brief written report covering what we found, where the risk sits and what we'd change first. It comes with no commitment, and you're free to hand it straight to your own engineers.
FAQ
What are the services in DevOps?
The core DevOps services are assessment and consulting, CI/CD pipeline implementation, infrastructure as code, containers and Kubernetes, cloud migration, managed cloud operations, DevSecOps and monitoring. SuppleDev delivers any of these through embedded engineers or a scoped engagement, and each one ends with a verification step your own people can repeat.
What does DevOps stand for?
DevOps stands for development and operations. The term describes a culture in which the engineers writing code and the engineers keeping it running share goals, tools and one release process. In practice, it shows up as automated pipelines, versioned infrastructure, fast feedback from monitoring and a joint responsibility for keeping production healthy.
What are the top DevOps tools?
Common choices include Git-based CI/CD systems such as GitLab CI, Jenkins and GitHub Actions, Terraform for infrastructure as code, Docker and Kubernetes for packaging and orchestration, plus the native services of AWS, Azure and GCP. Test frameworks like pytest belong in that list too. The right set depends on your stack, so we usually work with the tools you already have.
How much do DevOps services cost?
A full-time SuppleDev DevOps engineer runs $10,400–12,000 for a 160-hour month. Assessments and fixed projects are quoted by scope, and managed cloud runs on a monthly retainer. Across the market, DevOps-as-a-Service retainers often start in the low thousands per month, while migrations get priced per workload. No minimum project applies.
How long does a cloud migration take?
It depends on how many workloads you move and which path each one takes. A lift-and-shift of a few services moves faster than re-architecting a core application. We size the timeline after the assessment, schedule the cutover window with your stakeholders, and only switch over once regression, performance, data and rollback checks pass against the baseline.
How do you make sure a release doesn't break production?
Every build has to clear a series of gates: unit and API tests, a staging deploy, regression autotests, a vulnerability scan and a sign-off. A critical failure halts the release. After production goes live, smoke tests confirm the main flows, and a rehearsed rollback is ready if monitoring shows trouble. Flaky tests get quarantined so the gate stays trustworthy.
Can your DevOps engineers work inside our team?
Yes, and that's the way most clients use us. Our engineers start in 3–5 business days, join your stand-ups and chat, take work from your own board and push to your repositories. They overlap at least 4 hours with US Eastern time. You can add engineers or release them with two weeks' notice, all under one agreement.