Backend Architect (Go/ Java/Python/Node.js, AWS) - R01570568

About the role

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Backend Architect (Go/ Java/Python/Node.js, AWS)

Primary Skills - React/Typescripts, AWS, Java/Golang/Node/Python

Specialization - React/Typescripts, AWS, Java/Golang/Node/Python

Job requirements -

Role: Backend Architect (Go/ Java/Python/Node.js, AWS)

Years of Experience: 12+ years

Note: - This is a permanent hire. No Visa sponsorship is available for this role

Location: Hybrid 3 days for these locations Madison, NJ/Manhattan, | Greater Boston Area |South Florida Area | Greater Seattle Area , WA

As a consultant within the DE team, you will work with our clients to define their digital strategy and execution roadmap, and design and implement differentiated digital solutions to help deliver measurable value.

Job Description:

We are seeking a hands-on Full Stack Architect who designs systems and builds them. This role owns the end-to-end architecture of cloud-native applications on the Golden Path engineering stack — frontend, backend services, APIs, data, and cloud infrastructure — while staying close to the code: writing production features, building reference implementations and proofs of concept, and setting the engineering bar through code and design reviews. The ideal candidate is a senior engineer who grew into architecture without leaving the IDE — equally comfortable whiteboarding a distributed system and debugging a React rendering issue or a slow gRPC call. They use AI-assisted engineering tools fluently in daily work and can architect AI-enabled features where they add real value, while keeping the focus on sound, scalable, maintainable software.

Key Responsibilities Hands-On Engineering: Spend a significant portion of time writing production code across the stack — ReactJS/TypeScript frontends and Go, Java, Python, or Node.js (Koa) backend services; build reference implementations, starter templates, and proofs of concept that teams adopt. End-to-End Architecture: Own the architecture of full-stack applications — UI composition, API contracts (REST, gRPC, Thrift), service boundaries, data models, caching, and integration patterns; document trade-offs through architecture decision records (ADRs). Cloud-Native Design on AWS: Design and build services on AWS (ECS, Lambda, API Gateway, S3, Aurora/RDS, CloudFront, Route 53) using Docker, Kubernetes, Terraform, and CI/CD (CircleCI), balancing scalability, resilience, security, and cost. Distributed Systems & Modernization: Lead monolith-to-microservices decomposition into well-bounded services; apply event-driven patterns (Kafka, EventBridge, SQS) and workflow orchestration (Temporal, Airflow) where they fit. Engineering Excellence: Drive quality through design reviews, pull request reviews, and pairing; establish testing strategy (unit, integration, API, Cypress-based UI regression), observability (Datadog, CloudWatch, OpsGenie), and secure coding practices. Production Ownership: Troubleshoot complex production issues across layers — frontend performance, API latency, database bottlenecks, and infrastructure — and lead root-cause analysis and remediation. AI Fluency: Use AI-assisted engineering tools (Claude Code, GitHub Copilot, Gemini) to accelerate delivery and guide teams on using them responsibly; architect AI-enabled features (LLM integration, RAG, agent workflows) when the product calls for them. Technical Leadership & Collaboration: Mentor lead and senior engineers; partner with product managers, designers, and client stakeholders to turn requirements into buildable designs, and communicate decisions, risks, and trade-offs clearly.