400k+
ENGINEERS
14 days
to hire
100+
COVERED
30-50%
US hires
Hire the top 1% of
DevOps
engineers









Revelo's DevOps engineers work as embedded, full-time team members across infrastructure and platform disciplines. Here's where they typically own the most ground.
CI/CD Pipeline Design and Optimization
Revelo's DevOps engineers build and tune deployment pipelines in GitHub Actions, GitLab CI, CircleCI, and Jenkins, cutting deploy times and eliminating the flaky test loops that slow every release cycle.
Cloud Infrastructure Provisioning
From Terraform modules to CloudFormation stacks to Pulumi configurations, they provision and manage cloud environments on AWS, GCP, and Azure with state management, secrets handling, and drift detection built in from day one.
Kubernetes and Container Orchestration
They configure and operate Kubernetes clusters, manage Helm charts, set resource limits and autoscaling policies, and debug pod scheduling issues before they surface as production incidents.
Observability and Incident Response
Revelo's DevOps engineers instrument applications and infrastructure with Datadog, Grafana, Prometheus, and PagerDuty, build SLO dashboards, write runbooks, and own the on-call rotation alongside your team.
Security and Compliance Hardening
They integrate security scanning into pipelines (Snyk, Trivy, Checkov), manage IAM policies and secrets rotation, and help engineering teams maintain audit-ready infrastructure without slowing release velocity.

Time-to-Hire
Developers
Alignment
Efficiency
2,500+ companies trust Revelo with their tech hiring needs



What Is a DevOps Developer?
A DevOps developer builds and maintains the systems that move code from a developer's laptop to production reliably, repeatedly, and fast. That means CI/CD pipelines, infrastructure provisioning, container orchestration, monitoring, and incident response. The role blends software engineering with systems operations, and the best practitioners are fluent in both.
Day to day, a DevOps engineer writes infrastructure-as-code (Terraform, Pulumi, CloudFormation), configures Kubernetes clusters, tunes deployment pipelines in GitHub Actions or Jenkins, and sets up observability stacks with tools like Datadog, Grafana, or PagerDuty. They're also the ones on call when something breaks at 2 a.m.
What separates a strong DevOps engineer from a decent one is ownership mentality: they treat infrastructure like a product, push back on flaky pipelines instead of working around them, and instrument systems so failures surface before users notice.
Why Hire DevOps Developers?
When you hire DevOps engineers, you are directly determining how fast your team ships. Without a dedicated practitioner, developers spend engineering cycles managing deploys, firefighting infrastructure incidents, and maintaining scripts nobody fully understands. That's expensive friction on every sprint.
The role is genuinely hard to fill in the US. Demand for cloud infrastructure skills has pulled DevOps engineers toward hyperscalers and well-funded startups offering equity packages most mid-market companies can't match. Hiring cycles routinely stretch past 90 days for a senior candidate.
Revelo solves the supply problem. With 400,000+ pre-vetted engineers based in Latin America, Revelo can deliver a shortlist of qualified DevOps candidates in 72 hours and close a hire in under 14 days on average. All-in costs run 30–50% below comparable US hiring, with full time-zone overlap so your new engineer is in standup with the rest of your team from day one.
What Does It Cost to Hire a DevOps Developer?
In the US, mid-level DevOps engineers earn between $113,417 and $144,000 per year, according to PayScale and Salary.com 2026 data. Senior DevOps engineers with cloud architecture experience or Kubernetes specialization push well above that band. Factoring in benefits, payroll taxes, and recruiter fees, the true cost to hire and retain a senior US-based DevOps engineer often exceeds $200,000 annually.
Hiring through Revelo, the all-in cost (engineer compensation, PEO protections, benefits, and Revelo's margin) looks like this, based on the Revelo Salary Guide 2025:
| Seniority | All-In Annual Cost (USD) |
|---|---|
| Junior | $67,200 – $84,800 |
| Mid-Level | $81,600 – $115,700 |
| Senior | $86,400 – $128,600 |
That's a single, predictable monthly figure with no hidden placement fees and no long-term contract. For a role where a US recruiter alone might charge $30,000, the savings compound quickly. Visit revelo.com/pricing for a real-time, role-specific cost estimate.
| Seniority | US Total Annual Cost (est.) | Revelo All-In Annual Cost | Estimated Savings |
|---|---|---|---|
| Junior | Well into six figures when benefits, payroll taxes, and recruiter fees are included | $67,200 – $84,800 | 30 – 50% |
| Mid-Level | $160,000 – $195,000 | $81,600 – $115,700 | 30 – 50% |
| Senior | $200,000 – $240,000+ | $86,400 – $128,600 | 30 – 50% |
US figures include base salary from PayScale and Salary.com 2026 data, employer-side payroll taxes, benefits, and a one-time recruiter fee amortized over one year. Revelo figures are sourced from the Revelo Salary Guide 2025 and cover engineer compensation, PEO coverage, benefits, and Revelo's margin with no additional placement fee.
Why Hire DevOps Developers in Latin America?
Latin America has built serious depth in cloud infrastructure and DevOps over the past decade. Engineering programs in São Paulo, Bogotá, Mexico City, Buenos Aires, and Medellín now graduate cloud-native practitioners who've earned AWS, GCP, and Azure certifications and worked on production systems serving millions of users. The talent pool is already placing into US teams at senior level.
The timezone argument is especially clear for DevOps teams. Incident response doesn't work well on a 9-hour delay. Engineers based in Colombia (UTC-5), Mexico City (UTC-6), and Argentina (UTC-3, 1–2 hours ahead of US Eastern depending on season) overlap with every US timezone during core business hours, so your DevOps engineer is on Slack, in the alert channel, and available for an emergency call the same way a local hire would be.
English fluency in the technical community is consistently strong. DevOps engineers working with US teams communicate clearly in code reviews, incident postmortems, and architecture discussions. Cultural alignment with US-style engineering practices (agile, blameless retrospectives, SLO-driven operations) is the norm across this talent pool.
How to Evaluate DevOps Candidates
Start by asking the candidate to walk you through a CI/CD pipeline they built from scratch: what triggered the decision to design it that way, what broke early on, and what they'd change. A strong answer names specific tools, describes real tradeoffs, and shows they own the outcome. A weak answer stays generic ("we used Jenkins and it worked fine").
Second, probe infrastructure-as-code depth. Ask them to describe how they'd provision a new environment for a microservices application using Terraform. You want to hear module structure, state management strategy, and how they handle secrets. Candidates who jump straight to copy-paste templates without discussing state locking or drift detection are surface-level practitioners.
Third, test incident response instincts. Walk them through a scenario: latency spikes on your payment service at peak traffic, no obvious error logs. What do they check first, in what order, and how do they communicate status to stakeholders? Strong candidates move methodically through layers (network, pod health, database connections, upstream dependencies) and mention runbooks or automated alerts. Weak candidates describe reactive scrambling without a systematic approach.
Why DevOps Expertise Matters
DevOps engineering is the capability that determines whether your product team ships weekly or quarterly. As cloud infrastructure has grown more complex, the cost of not having a dedicated practitioner has risen sharply: developers absorb ops work, release cycles slow, and incidents take longer to resolve because nobody owns the observability stack end-to-end.
The hiring market for this skill has tightened alongside cloud adoption. Every company running on AWS, GCP, or Azure needs someone who understands Kubernetes, monitors SLOs, and can rebuild a broken pipeline at midnight. Hyperscalers and large-cap tech firms have hired aggressively into this pool for years, making experienced DevOps engineers scarce at salaries mid-market companies can actually offer.
For a 100-to-500-person engineering organization, a single strong DevOps hire typically cuts release cycles from weeks to days by automating what used to be manual deployment work. The business impact is direct and measurable: fewer incidents, faster releases, and engineering hours reclaimed for product work.
How Revelo Vets DevOps Developers
Every DevOps developer in Revelo's network passes a multi-stage screen. Only the top ~2% of applicants reach the shortlist you receive, and the average time from search start to hire is 14 days.
The process runs in stages. First, an AI-assisted profile review filters for genuine cloud infrastructure experience, weeding out candidates with superficial DevOps exposure. Second, a written communication and English fluency assessment confirms the candidate can run a postmortem, write runbooks, and communicate clearly in async environments.
Third, a DevOps-specific technical deep dive covers core competencies: CI/CD design, Kubernetes and container orchestration, infrastructure-as-code tools, cloud provider architecture, and monitoring and alerting configuration. Fourth, candidates complete a hands-on challenge and a soft-skills evaluation covering real-world problem-solving, documentation habits, and async collaboration patterns.
Finally, a senior Revelo engineer conducts a live technical interview to validate depth and close any gaps. Candidates who pass all five stages go into your shortlist. You also receive a candidate preview video for each engineer, so you can evaluate communication style before scheduling your own interview.
Benefits of Building With DevOps
Why DevOps Wins for Release Velocity
DevOps practices close the gap between writing code and getting it in front of users. Automated pipelines, containerized environments, and infrastructure-as-code eliminate the manual handoffs that introduce days of latency into release cycles. Teams that invest in a mature DevOps function typically ship multiple times per day, and rolling back when something goes wrong becomes a two-minute operation instead of a two-hour war room.
Common Use Cases
DevOps engineering applies wherever code needs to move to production reliably: SaaS platforms managing multi-tenant cloud deployments, fintech teams navigating strict compliance and change-control requirements, e-commerce companies handling traffic spikes, and mobile backends requiring zero-downtime deploys. Any engineering org shipping more than once a week benefits from a dedicated DevOps practitioner.
Companies Shipping With DevOps in Production
Netflix built Spinnaker, an open-source continuous delivery platform, to manage thousands of daily deployments across its microservices architecture. Etsy popularized the "10+ deploys per day" model before cloud-native was a common phrase. Shopify runs its global commerce infrastructure on Kubernetes with a platform engineering team that embeds DevOps practices across every product squad. These aren't edge cases; they're the operational baseline that modern engineering organizations are measured against.
When DevOps Is the Wrong Choice
DevOps investment doesn't pay off in every context. Teams still in prototype stage, shipping monthly to a handful of customers, or running on a fully managed platform (Heroku, Vercel, Render) often don't need a dedicated DevOps hire yet. A generalist backend engineer who's comfortable with cloud basics can handle infrastructure at that scale. The signal that you need a dedicated DevOps engineer: your developers are spending more than a day per sprint on infrastructure work, or incidents are going undetected until users report them.
Libraries
Frameworks
Facebook API | Instagram API | YouTube API | Spotify API | Apple Music API | Google API | Jira REST API | GitHub API | SoundCloud API
APIs
Amazon Web Services (AWS) | Google Cloud Platform (GCP) | Linux | Docker | Heroku | Firebase | Digital Ocean | Oracle | Kubernetes | Dapr | Azure | AWS Lambda | Redux
Platforms
Databases
MongoDB | PostgreSQL | MySQL | Redis | SQLite | MariaDB | Microsoft SQL Server

