Hire DevOps engineers who own your pipeline, not just watch it
Innostax places vetted DevOps engineers — CI/CD, Kubernetes, Terraform, AWS, Azure, GCP — directly into your team. Hired on ability, onboarded to your infrastructure before the engagement starts, and AI-fluent as standard. Available within days, not months.
How quickly can you place a DevOps engineer?
For CI/CD and cloud infrastructure roles — our most common DevOps placements — typically within one to two weeks. Senior DevOps engineers with Kubernetes and multi-cloud experience may take two to three weeks depending on the specific specialisation. We’ll give you a realistic timeline during the initial conversation.
What most DevOps hiring gets wrong
DevOps engineers who can set up a pipeline are common. DevOps engineers who own infrastructure are not.
The DevOps market has a specific hiring problem: the title covers an enormous range of actual capability. A developer who’s set up a GitHub Actions workflow and provisioned a few AWS resources calls themselves a DevOps engineer. So does the engineer who’s designed multi-region Kubernetes clusters, implemented infrastructure as code across a complex cloud estate, and managed production incidents at 3am with the composure of someone who’s done it before.
The difference matters because DevOps failures are high-visibility. A broken pipeline blocks your entire engineering team. A misconfigured auto-scaling policy causes a production outage during your highest-traffic moment.
A secrets management gap becomes a security incident. A cloud cost spike at quarter-end that nobody can explain is a CFO conversation nobody wants to have.
DevOps engineers who set things up and move on leave infrastructure that works until it doesn’t — and when it doesn’t, nobody fully understands it well enough to fix it quickly. What you need is a DevOps engineer who owns the infrastructure — who treats your pipeline and cloud environment as a first-class engineering asset, maintains it proactively, and is accountable for its reliability.
Innostax DevOps engineers are assessed on infrastructure ownership, not just tooling familiarity.
DevOps engineering expertise
DevOps skills we place
Every engagement is different. Use the links below to explore focused pages for this service.
CI/CD pipeline design and ownership
GitHub Actions, GitLab CI/CD, CircleCI, Jenkins, Azure DevOps — pipeline architecture, not just pipeline configuration. Engineers who design build systems for speed and reliability, implement testing gates that mean something, and maintain the pipeline as the product evolves. Not engineers who set up a pipeline and consider the job done.
Learn more →Infrastructure as code
Terraform, Pulumi, AWS CDK, Bicep — infrastructure defined in version-controlled code, reviewed like application code, and maintained as the infrastructure evolves. Engineers who understand that IaC is a discipline, not just a tooling choice — drift detection, state management, module design, and the review practices that keep infrastructure code trustworthy.
Learn more →Kubernetes and containerisation
Docker, Kubernetes (EKS, AKS, GKE) — cluster design, workload scheduling, resource management, horizontal pod autoscaling, ingress configuration, and the operational discipline that keeps a Kubernetes cluster stable under production load. Not engineers who can deploy to Kubernetes — engineers who understand why it's behaving the way it is when it isn't.
Learn more →Cloud architecture (AWS, Azure, GCP)
Infrastructure architecture across the major cloud providers — compute, networking, storage, managed services, IAM, cost management. Engineers who make cloud architecture decisions with the long-term cost and operational implications in mind, not just what's easiest to provision today.
Learn more →Observability and monitoring
Datadog, Grafana, Prometheus, CloudWatch, Sentry — monitoring configured to the thresholds that matter, alerting that reaches the right person at the right time, and the distributed tracing that makes production incidents diagnosable in minutes rather than hours. Engineers who treat observability as an engineering requirement, not a post-launch addition.
Learn more →Security and compliance
IAM policy design, secrets management (Vault, AWS Secrets Manager), network security groups, dependency scanning, SAST/DAST tooling — the security baseline that enterprise customers and regulated industries require. Engineers who build security into infrastructure from the start rather than retrofitting it when a customer's security review finds the gaps.
Learn more →Incident response and on-call
Production incident management — diagnosis, resolution, post-incident analysis, and the runbook development that prevents the same incident from recurring. Engineers who've managed production incidents before and have the composure and systematic approach that high-pressure situations require.
Learn more →
What makes Innostax DevOps engineers different
Assessed on infrastructure ownership, not tooling familiarity
Our technical assessment goes beyond “do you know Terraform.” We evaluate infrastructure design decisions, incident diagnosis reasoning, cost optimisation judgment, and security posture awareness. A DevOps engineer who knows the tools but makes poor infrastructure decisions doesn’t pass our assessment.
Hired on cognitive ability, not availability
DevOps work requires systems thinking — understanding how changes in one layer propagate through the rest of the infrastructure. We hire on IQ-based criteria because that systems-level judgment is what determines whether a DevOps engineer prevents incidents or creates them.
Trained on your infrastructure before sprint one
Before an Innostax DevOps engineer touches your infrastructure, they’re onboarded to it — your cloud architecture, your CI/CD setup, your monitoring configuration, your deployment process, your historical incidents. They understand the context behind your infrastructure decisions before they’re asked to extend them.
AI-fluent as standard
Every Innostax engineer uses Cursor with Claude and GPT-4 within project-specific guardrails. For DevOps specifically, AI-assisted infrastructure code is reviewed against your existing patterns and security requirements before it’s applied. AI accelerates IaC authoring. The review chain keeps it safe.
4-level code review on every PR
AI review (confidence-scored), peer review, Tech Lead review, architect sign-off. Infrastructure changes that introduce security gaps, cost inefficiencies, or single points of failure don’t merge.
Proactive DevOps Engineering: Preventing Failures, Not Causing Them—Proven Fast
2-week free trial on real infrastructure
Your CI/CD pipeline, your cloud environment, your actual infrastructure. You’ll know within two weeks whether the engineer understands your infrastructure or is still learning it on your time. If the latter, walk away. No invoice.
1-day termination notice
If the engagement isn’t working at any point — for any reason — you’re out tomorrow. No lock-in, no 30-day notice periods. A DevOps engineer whose position is protected by a contract rather than their performance is a risk to your infrastructure.
Engineers who know your infrastructure's history
Great Place to Work certified — the DevOps engineer who learns your infrastructure in month one is still accountable for it in month six. Infrastructure context — the incidents, the scaling events, the configuration decisions and why they were made — doesn’t transfer in a handover document. It accumulates through experience with your specific environment.
CLIENT OUTCOMES
Proof: DevOps engineering on the record
Technique
85–90% Reduction in manual work
Innostax DevOps engineers designed and executed Technique’s full Azure migration — infrastructure as code, Power Automate workflow deployment, complete data migration with 100% success and zero data loss. The automated workflows running on top of that infrastructure have sustained an 85–90% reduction in manual work. DevOps work where the reliability of the infrastructure was the entire value.
Online Education Platform
$300K+ Saved
Innostax engineers rebuilt the platform’s integration infrastructure in-house — eliminating a $300,000 Mulesoft annual licence and delivering a more maintainable, better-performing integration layer. The right infrastructure decision, implemented correctly, with the ongoing operational ownership that keeps it running.
Ashore
Infrastructure supporting near-daily deployment velocity
Near-daily feature deployments require a CI/CD pipeline and cloud infrastructure that doesn’t become a bottleneck. Innostax maintained the DevOps infrastructure that let Ashore ship at that velocity — consistently, without the stability cost that typically accompanies high deployment frequency.
Where DevOps Gaps Are Slowing Down Your Team
Engineering teams where DevOps is currently owned informally — spread across developers who manage it alongside their product work. When those developers are unavailable, deployments slow down, incidents take longer to resolve, and infrastructure debt accumulates. That’s a single point of failure, not a DevOps function.
CTOs who need a DevOps hire but can’t wait three to six months to find the right person. Innostax places vetted DevOps engineers within days to weeks — with the 2-week trial that lets you validate the fit before you commit.
Growth-stage companies whose infrastructure was set up quickly and pragmatically, and whose cloud costs, deployment reliability, and security posture are now showing the consequences. A DevOps engineer who owns the infrastructure proactively is how you get ahead of those consequences rather than reacting to them.
Tech Stack
Complete DevOps Engineer Tech Stack
The Tech Lead selects the right combination from this stack based on your product requirements, scale targets, and integration needs.
- GitHub Actions
- GitLab CI/CD
- CircleCI
- Jenkins
- Azure
- Terraform
- Pulumi
- AWS CDK
- Bicep
- Ansible
- Python
- Microsoft Power Automate
- PagerDuty
- OpsGenie
FAQ about Hiring DevOps Engineers
Certifications tell you what someone has studied. Our assessment evaluates infrastructure design decisions, incident diagnosis reasoning, cost optimisation judgment, and security posture awareness — the judgment calls that determine whether a DevOps engineer prevents incidents or creates them. We present infrastructure scenarios and evaluate how candidates reason through them, not just whether they know the right commands.
Incident response capability is assessed during placement — we evaluate how candidates approach diagnosis under pressure, how they communicate during an incident, and how they conduct post-incident analysis. During onboarding, we develop runbooks for your critical infrastructure components so incident response starts from a documented procedure, not from scratch.
Both. We work in your existing tools — your cloud provider, your source control, your monitoring stack. We bring tooling recommendations where your current setup has gaps, and we implement them with your approval. We don't impose a toolchain. We improve the one you have.
Cloud cost management is part of the ongoing engagement, not a one-time audit. Your DevOps engineer monitors spend continuously — identifying idle resources, right-sizing over-provisioned instances, and flagging cost anomalies before they become quarter-end surprises. Cost and performance are managed together, not traded off against each other.
Yes. Innostax DevOps engineers integrate into your existing team — your tools, your processes, your on-call rotation. They extend your team's capacity without creating a separate workstream you have to manage around.
For CI/CD and cloud infrastructure roles — typically within one to two weeks. Senior engineers with Kubernetes and multi-cloud experience may take two to three weeks. We'll give you a realistic timeline during the initial conversation, not a number designed to win the deal.