
Dedicated Developer
A DevOps engineer works only on your project, inside the tools and workflows of your team.

AI helps our engineers read logs, metrics and traces, spot anomalies early and narrow down the likely root cause when something breaks in production.
Claude Code helps engineers write and review Terraform and CloudFormation changes, and drift detection compares your running infrastructure against its declared state, catching configuration changes that could cause security vulnerabilities or outages.
AI helps engineers analyze build and deployment pipelines to find bottlenecks, flaky tests and slow steps that hold back delivery for your team.
AI helps engineers weigh traffic patterns and resource usage when planning scaling, balancing performance requirements against cloud spending.
Automated build, test, and deployment pipelines with GitHub Actions, GitLab CI, or Jenkins. Branch strategies, environment promotion, and rollback procedures.
Docker containerization and Kubernetes deployment. Service discovery, health checks, rolling updates, and resource management for microservices.
Terraform and CloudFormation for version-controlled, peer-reviewed infrastructure. Reproducible environments from development to production.
Prometheus, Grafana, Datadog, or CloudWatch monitoring with alerting, dashboards, and SLA tracking. Distributed tracing for microservices.
Container scanning, secret management, network policies, and compliance automation. SOC 2, HIPAA, and PCI DSS readiness for regulated environments.
Migrate workloads between clouds or from on-premise. Cost optimization, architecture modernization, and performance tuning for existing deployments.
VETTING PIPELINE
Our hiring process has three stages, from the application screen to a project deep dive with background verification, and every new engineer then serves a probation period.
We source engineers across India through LinkedIn, Wellfound, employee referrals and outbound headhunting. Every application is checked for stack relevance, years of experience, English and time zone overlap before it moves to a technical interview.
A live coding round of 60 to 90 minutes in the primary technology of the candidate, followed by scenario based questions on practical applications of that technology.
Candidates walk us through a recent production project, covering the architecture decisions and what they would change in hindsight. A third party background verification agency then confirms prior employment, education and identity.
New engineers then serve a probation period, and those who do not meet our bar do not continue with us.
From the first call to a developer working in your team, you choose who joins and when.
Tell us the experience level, tech stack, project scope and team setup you need. A 30 minute call is usually enough.
Vetted candidates are presented within a week, matched to the brief you shared.
Interview shortlisted developers directly, through technical interviews, pair programming or whatever your process requires.
Your developer joins your tools and standups, and onboarding completes in 7 to 14 business days.

A DevOps engineer works only on your project, inside the tools and workflows of your team.

We assemble and manage a DevOps team with a tech lead, handling delivery end to end against your requirements.

Fixed scope, timeline, and budget. We deliver the project and hand off the codebase with documentation.
Engagement terms
Read how our engagements work for the detail behind each term.
PRICING
$25 to $50 per hour
Dedicated DevOps engineers, by seniority
$10,000 minimum
Fixed scope projects
US specialists typically bill $150 to $300 per hour for comparable scope. Every engagement is scoped individually before any number becomes a quote.
See all engagement models and hire pricing15,000+
Students served
97%
Translation accuracy
50%
Faster content turnaround
Rates run $25 to $50 an hour depending on seniority, and fixed scope projects have a $10,000 minimum. US specialists typically bill $150 to $300 per hour for comparable work. Your AWS, Azure or GCP usage is billed separately by the cloud provider, and so are paid tools in your pipeline, such as Datadog infrastructure monitoring, which is priced per host, and GitHub Actions minutes beyond the free quota for private repositories.
Beyond dedicated developers, our teams deliver complete products and platforms.
Tell us about your project. We will get back to you within one business day.
Prefer to book directly?
🗓️ Schedule on Calendly →Or email us:
✉️sales@unicoconnect.com