Hire DevOps Engineers | Nearshore IT Staff Augmentation

DevOps is the critical glue between development and operations. It’s not just a set of tools; it’s a culture of automation, observability, and infrastructure-as-code (IaC). You need a Senior DevOps Engineer who can move beyond basic scripting to architect a complete, secure, and scalable cloud platform. Our vetting process is designed to find SRE-minded engineers-experts who treat infrastructure like software. We assess their deep knowledge of cloud providers (AWS, Azure, GCP), their mastery of IaC tools (Terraform), container orchestration (Kubernetes), and their ability to build high-velocity, secure CI/CD pipelines. By hiring a DevOps expert from us, you are investing in a team member who will eliminate manual toil, drive down cloud costs, and guarantee the reliability (SLOs/SLAs) of your production systems.

Is your infrastructure managed with manual steps and undocumented scripts?

The Problem

If your production environment can only be set up by one person following a secret, undocumented script-or, worse, by clicking through a web console-you have a single point of failure and a massive scaling problem. This 'snowflake' server problem leads to inconsistent environments and high-risk deployments.

The TeamStation AI Solution

We vet for engineers who live by Infrastructure-as-Code (IaC) principles. They are masters of Terraform and CloudFormation, demonstrating the ability to define, provision, and manage all infrastructure components in version-controlled, repeatable code, guaranteeing consistency, security, and traceability.

Proof: Mastery of Terraform and CloudFormation (IaC)
Are your deployments manual, slow, and prone to human error?

The Problem

A deployment process that requires more than a single commit and a few minutes is a major bottleneck. Manual steps introduce human error, increase deployment risk, and slow down your development velocity to a crawl, preventing rapid iteration and critical security patching.

The TeamStation AI Solution

Our experts are proficient in building robust, fully automated CI/CD pipelines (e.g., Jenkins, GitLab CI, GitHub Actions). They are vetted on their ability to implement canary deployments, blue/green strategies, and automated rollback mechanisms, ensuring safe, high-velocity, and low-risk releases.

Proof: Fully Automated CI/CD Pipelines
Are you flying blind, reacting to failures instead of predicting them?

The Problem

A system without proper monitoring, logging, and alerting is an operational nightmare. You only find out about issues when customers complain, leading to high-impact outages and long recovery times (MTTR). This lack of observability is a sign of reactive operations.

The TeamStation AI Solution

We look for engineers who enforce the three pillars of observability (Metrics, Logs, Traces). They are experts in the Prometheus/Grafana stack for proactive alerting and monitoring, ensuring that issues are detected and mitigated before they impact end-users, transforming operations from reactive to proactive.

Proof: Observability (Prometheus, Grafana, ELK/Loki)

How We Measure Seniority: From L1 to L4 Certified Expert

We don't just match keywords; we measure cognitive ability. Our Axiom Cortex™ engine evaluates every candidate against a 44-point psychometric and technical framework to precisely map their seniority and predict their success on your team. This data-driven approach allows for transparent, value-based pricing.

L1 Proficient

Guided Contributor

Contributes on component-level tasks within the DevOps Engineering domain. Foundational knowledge and learning agility are validated.

Evaluation Focus

Axiom Cortex™ validates core competencies via correctness, method clarity, and fluency scoring. We ensure they can reliably execute assigned tasks.

$20 /hour

$3,460/mo · $41,520/yr

± $5 USD

L2 Mid-Level

Independent Feature Owner

Independently ships features and services in the DevOps Engineering space, handling ambiguity with minimal supervision.

Evaluation Focus

We assess their mental model accuracy and problem-solving via composite scores and role-level normalization. They can own features end-to-end.

$30 / hour

$5,190/mo · $62,280/yr

± $5 USD

L3 Senior

Leads Complex Projects

Leads cross-component projects, raises standards, and provides mentorship within the DevOps Engineering discipline.

Evaluation Focus

Axiom Cortex™ measures their system design skills and architectural instinct specific to the DevOps Engineering domain via trait synthesis and semantic alignment scoring. They are force-multipliers.

$40 / hour

$6,920/mo · $83,040/yr

± $5 USD

L4 Expert

Org-Level Architect

Sets architecture and technical strategy for DevOps Engineering across teams, solving your most complex business problems.

Evaluation Focus

We validate their ability to make critical trade-offs related to the DevOps Engineering domain via utility-optimized decision gates and multi-objective analysis. They drive innovation at an organizational level.

$50 / hour

$8,650/mo · $103,800/yr

± $10 USD

Pricing estimates are calculated using the U.S. standard of 173 workable hours per month, which represents the realistic full-time workload after adjusting for federal holidays, paid time off (PTO), and sick leave.

Core Competencies We Validate for DevOps Engineering

Infrastructure-as-Code (Terraform/CloudFormation)
Container Orchestration (Kubernetes/Helm)
CI/CD Pipeline Architecture (Jenkins/GitLab CI)
Cloud Networking & Security (VPC, IAM, Security Groups)
Observability (Prometheus, Grafana, Alerting)

Our Technical Analysis for DevOps Engineering

The DevOps Engineering evaluation is comprehensive, spanning cloud architecture, automation, and reliability. Candidates are tested on their ability to design a secure, highly available architecture (e.g., a three-tier app in a VPC) using Terraform, requiring them to define networking, compute, and security resources. A key focus is Kubernetes: candidates must demonstrate mastery of core concepts (Deployments, Services, Ingress, ConfigMaps) and proficiency in packaging and deploying applications using Helm. We rigorously assess their experience building end-to-end CI/CD pipelines, requiring them to define a multi-stage process that includes automated testing, security scanning, and blue/green deployment strategies. Finally, we evaluate their skills in observability, requiring them to configure Prometheus scraping targets, design effective Grafana dashboards, and define critical alerting rules (SLOs/SLAs) to ensure proactive system health management.

Related Specializations

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About TeamStation AI

Learn about our mission to redefine nearshore software development.

Nearshore vs. Offshore

Read our CTO's guide to making the right global talent decision.

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