Hire Microservices Architects | Nearshore Software Development

Microservices is an architectural style that structures an application as a collection of loosely coupled, independently deployable services. You need an architect who can navigate the complexities of distributed systems to help you build an application that is scalable, resilient, and enables your teams to ship features independently. Our vetting process, powered by Axiom Cortex™, finds engineers who are masters of distributed systems design. We test their ability to decompose a monolith, design service boundaries, and handle the challenges of inter-service communication, data consistency, and observability.

Is your monolithic application a bottleneck for your team?

The Problem

A large, monolithic application can be a major drag on productivity. It's difficult to understand, slow to test, and risky to deploy, preventing your teams from moving quickly.

The TeamStation AI Solution

We vet for architects who are experts in decomposing monoliths and designing scalable microservice architectures. They must demonstrate the ability to identify the right service boundaries and to create a system of small, independent services that can be developed, deployed, and scaled independently.

Proof: Increased Team Autonomy and Deployment Frequency
Are you struggling with the complexities of a distributed system?

The Problem

Microservices introduce a new set of challenges, including service discovery, inter-service communication, data consistency, and distributed tracing. Without a clear strategy, you can end up with a system that is even more complex and brittle than your monolith.

The TeamStation AI Solution

Our architects are proficient in the patterns and practices of distributed systems. They are vetted on their ability to design a resilient and observable microservices platform, using tools and patterns like service mesh, event-driven architecture, and distributed tracing to manage the complexity.

Proof: Resilient and Observable Distributed Systems
Is data consistency across services a constant challenge?

The Problem

Maintaining data consistency across multiple microservices is a hard problem. Traditional distributed transactions (two-phase commit) are often not a viable option, and a lack of a clear strategy can lead to inconsistent data and subtle, hard-to-find bugs.

The TeamStation AI Solution

Our experts are masters of distributed data management patterns. We vet their ability to implement the Saga pattern to manage long-running transactions that span multiple services, ensuring eventual consistency and data integrity without sacrificing service autonomy.

Proof: Data consistency with the Saga pattern
Do you have a clear strategy for service-to-service communication?

The Problem

Choosing the wrong communication style (e.g., synchronous REST calls for everything) can lead to a tightly coupled 'distributed monolith' that is brittle and not resilient to failure.

The TeamStation AI Solution

We hire architects who understand the trade-offs between different communication patterns. They are vetted on their ability to choose the right tool for the job: synchronous communication (like REST or gRPC) for queries, and asynchronous, event-based communication for commands and events, creating a truly loosely-coupled system.

Proof: A mix of synchronous and asynchronous communication

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 Microservices Architecture 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 Microservices Architecture 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 Microservices Architecture discipline.

Evaluation Focus

Axiom Cortex™ measures their system design skills and architectural instinct specific to the Microservices Architecture 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 Microservices Architecture across teams, solving your most complex business problems.

Evaluation Focus

We validate their ability to make critical trade-offs related to the Microservices Architecture 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 Microservices Architecture

Microservices vs. Monolith trade-offs
Domain-Driven Design (DDD) for service boundaries
Inter-service communication (REST, gRPC, messaging)
Distributed data management patterns (e.g., Saga, CQRS)
Observability in distributed systems (tracing, metrics, logs)

Our Technical Analysis for Microservices Architecture

The Microservices Architect evaluation is a deep dive into distributed systems design. Candidates are given a complex business domain and are required to design a microservice architecture for it, justifying their choice of service boundaries, communication patterns, and data management strategies. A critical assessment is their ability to reason about the trade-offs of different design decisions and to articulate a clear strategy for managing the complexities of a distributed system. We also test their knowledge of the tools and technologies used to build and operate a microservices platform, such as Kubernetes, service mesh, and observability tools.

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