API Solution Architect – Node JS

CNX•USA, GA, Work-at-Home, GA
•$106,087 - $166,709•Remote

About The Position

Concentrix is seeking an experienced API Solution Architect with strong Node.js expertise to design, develop, and modernize enterprise-scale API solutions. The role leads the architecture of secure, scalable, high-performing APIs and drives API transformation and integration initiatives across cloud-native platforms. It includes designing agentic API migration factories using chained LLM-driven pipelines with human-gated PR reviews, and developing reusable AI-assisted engineering accelerators. The position is part of Concentrix Technical Products and Services, which delivers digital engineering, technology, data, and professional services. The role is remote and based in the United States. The employee will provide technical leadership, architectural guidance, and mentoring to engineering teams while collaborating with product owners, enterprise architects, business stakeholders, DevOps, and platform engineering teams. The base salary is $106,087–$166,709, plus incentives aligned with individual and company performance. Eligible employees may receive medical, dental, and vision insurance, an employee assistance program, a 401(k) retirement plan, paid time off, holidays, and paid learning days. The application deadline is 11/01/2026, and this is an immediate vacancy intended to be filled as soon as possible. Candidates may be subject to background screening and identity verification, including biometric processes where permitted by law and with required disclosures and consent. Applicants must be legally authorized to work in the United States and reside in the United States or have a valid U.S. residential address.

Requirements

  • At least 10 years of software engineering experience, including at least 5 years in Solution Architecture, Principal Architecture, or Enterprise Architecture roles.
  • Strong hands-on expertise in Node.js, JavaScript, TypeScript, Express.js, NestJS, and Fastify.
  • Extensive experience designing and implementing enterprise-scale API platforms and integration architectures.
  • Proven experience modernizing legacy applications and APIs using cloud-native and microservices-based approaches.
  • Experience building or leveraging LLM-powered automation, AI-assisted development frameworks, GitHub Copilot customization, or agentic engineering workflows.
  • Deep understanding of REST, GraphQL, gRPC, WebSockets, and event-driven integration patterns.
  • Strong knowledge of API security, authentication, authorization, rate limiting, caching, and governance frameworks.
  • Hands-on experience with AWS, Azure, and/or GCP.
  • Experience with Docker, Kubernetes, serverless architectures, and container orchestration technologies.
  • Strong understanding of CI/CD pipelines, DevSecOps practices, and automated testing frameworks.
  • Experience with SQL and NoSQL databases, including PostgreSQL, MongoDB, DynamoDB, or equivalent platforms.
  • Excellent communication, stakeholder management, and leadership skills.
  • Strong understanding of Agile, Lean, DevOps, and continuous improvement methodologies.
  • Legally authorized to work in the United States and residing in the United States or having a valid U.S. address for residence.

Nice To Haves

  • Cloud certifications such as AWS Solutions Architect, Microsoft Azure Architect Expert, or Google Cloud Professional Architect.
  • Experience implementing enterprise AI platforms, generative AI solutions, and LLM orchestration frameworks.
  • Experience developing and governing custom GitHub Copilot Skills, prompt engineering standards, and AI development accelerators.
  • Experience with Kafka, RabbitMQ, EventBridge, or other event-streaming technologies.
  • Familiarity with observability platforms such as Datadog, Prometheus, Grafana, ELK, or New Relic.
  • Experience with API monetization, developer portals, and API product management.
  • Background supporting large-scale enterprise digital transformation, financial services, telecommunications, technology, or consulting environments.
  • Experience leading globally distributed engineering teams and large modernization programs.

Responsibilities

  • Architect and lead scalable, secure, high-performance RESTful APIs, GraphQL services, and event-driven integrations using Node.js, NestJS, Express, and Fastify.
  • Design and deliver agentic API migration factories using chained LLM-driven pipelines with human-gated PR reviews to accelerate legacy-to-modern API transformation.
  • Author and govern custom GitHub Copilot Skills and AI-assisted engineering accelerators as reusable delivery artifacts across programs and teams.
  • Establish and promote OpenAPI Specification (OAS)-first development workflows, standards, and governance across NestJS, Fastify, Express, Lambda, and serverless architectures.
  • Define enterprise API standards, architectural patterns, governance frameworks, and best practices for scalability, maintainability, and reuse.
  • Partner with product owners, engineering teams, enterprise architects, and business stakeholders to translate business requirements into modern API-led solutions.
  • Drive cloud-native API architectures aligned with enterprise integration strategies across AWS, Azure, and GCP environments.
  • Implement and enforce API security practices, including OAuth2, JWT, SSO, encryption, rate limiting, and threat mitigation controls.
  • Lead API lifecycle management, including design, documentation, versioning, deployment, observability, and governance.
  • Evaluate, recommend, and integrate API management platforms such as Apigee, Kong, AWS API Gateway, MuleSoft, or equivalent technologies.
  • Guide development teams on microservices architecture, domain-driven design, event-driven systems, and asynchronous communication models.
  • Establish observability, monitoring, performance engineering, and scalability testing frameworks to help APIs meet SLAs.
  • Provide technical leadership, mentoring, and architectural guidance for engineering teams focused on modern API development and AI-assisted engineering practices.
  • Collaborate with DevOps and platform engineering teams to implement CI/CD pipelines, automated quality controls, and infrastructure-as-code practices.

Benefits

  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Comprehensive employee assistance program
  • 401(k) retirement plan
  • Paid time off
  • Paid holidays
  • Paid learning days
  • Incentives aligned with individual and company performance
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