TeamStation AI

Hire Serverless Experts | Nearshore Software Development

Serverless is the next evolution of cloud computing, allowing teams to build and run applications without managing any servers, resulting in massive cost savings, zero operational overhead, and instantaneous, infinite scaling. You need a Senior Serverless expert who can architect purely event-driven applications using Function-as-a-Service (FaaS) platforms. Our vetting process is designed to find experts in core platforms (AWS Lambda, Azure Functions), state machines (Step Functions), and database choices (DynamoDB). We test their ability to manage vendor lock-in, monitor cold starts, and prioritize the operational simplicity and cost-efficiency that serverless promises. By hiring a Serverless expert from us, you get a developer who can dramatically reduce your infrastructure spend and increase your deployment velocity.

Is your Serverless application suffering from slow 'cold starts'?

The Problem

The cost/scaling benefit of FaaS (Function-as-a-Service) is often offset by the 'cold start' penalty-the latency incurred when the function container needs to spin up for the first time. Inexperienced developers often fail to mitigate this, leading to poor performance and user experience.

The TeamStation AI Solution

We vet for mastery of cold start mitigation techniques. Our experts must demonstrate the ability to use provisioned concurrency (AWS Lambda), optimize deployment package size, and write code outside the function handler to ensure the initial load time is minimized, guaranteeing low-latency execution.

Proof: Cold Start Optimization and Provisioned Concurrency
Is your function architecture an untestable, monolithic mess?

The Problem

Developers often cram too much business logic into a single function, making it difficult to test, debug, and reuse. This anti-pattern ('monolithic lambda') negates the core benefit of the serverless paradigm: small, single-purpose, event-driven units of work.

The TeamStation AI Solution

Our engineers are experts in Event-Driven Architecture (EDA). They are vetted on their ability to design fine-grained, single-purpose functions that are loosely coupled via message queues (SQS/SNS or EventBridge), ensuring code is clean, testable, and reusable across the system.

Proof: Event-Driven Architecture and Function Granularity
Are you manually orchestrating complex, multi-step business workflows?

The Problem

Complex business processes (e.g., order fulfillment, payment processing) that span multiple functions require manual retry logic, error handling, and state management in code. This makes the workflow brittle, complex, and difficult to audit.

The TeamStation AI Solution

We look for engineers proficient in Serverless State Machines. They are vetted on their ability to use services like AWS Step Functions or Azure Durable Functions to define and orchestrate long-running, multi-step workflows declaratively, ensuring automatic retry, parallel execution, and auditable state management.

Proof: Serverless State Machine Orchestration (Step Functions)

Core Competencies We Validate

FaaS (Lambda/Functions) and runtime best practices
Event-Driven Architecture (EventBridge, SQS/SNS)
Cold start mitigation and performance optimization
Serverless State Machines (Step Functions)
Infrastructure-as-Code (Serverless Framework/SAM)

Our Technical Analysis

The Serverless Architecture evaluation is focused on cost-efficiency, scalability, and event-driven design. Candidates are tested on their ability to design a high-volume, event-driven workflow using AWS Lambda, demonstrating an understanding of correct invocation types (synchronous/asynchronous) and the nuances of throttling and concurrency limits. The critical assessment is their mastery of cold start mitigation: candidates must analyze a slow-performing function and propose specific code and configuration changes (e.g., using Provisioned Concurrency, optimizing deployment package) to reduce latency. We rigorously test their ability to orchestrate complex business logic using AWS Step Functions, requiring them to design a state machine that handles parallel tasks, choice logic, and failure/retry states. Finally, we assess their expertise in managing the entire stack using specialized Infrastructure-as-Code tools like the Serverless Framework or AWS SAM, ensuring the entire serverless application is defined and deployed repeatably through code.

Related Specializations

Amazon Web Services (AWS)Event SourcingAPI GatewayAmazon DynamoDB

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