Fullstack hands-on Architect - R01570510

Job requirements

• 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.

Required Skills & Experience

Technical Experience

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent, with 10+ years of software engineering experience, including 3+ years in an architect or technical lead role while remaining hands-on.
• Deep frontend expertise in ReactJS, TypeScript, and JavaScript (hooks, functional components, state management, performance tuning), building large-scale, high-performance UIs.
• Strong backend expertise in at least two of Go, Java, Python, or Node.js, building APIs and microservices with REST, gRPC, and Thrift (Koa experience a plus).
• Solid grounding in system design and distributed systems — scalability, resiliency, consistency, caching, performance optimization, and failure handling.
• Experience with relational and NoSQL databases (PostgreSQL, MySQL, Aurora, RDS, DynamoDB, MongoDB, Redis), including data modeling and query performance.
• Strong AWS experience (ECS, Lambda, API Gateway, S3, IAM, CloudFront, Route 53, Aurora/RDS), plus Docker, Kubernetes, Terraform, and CI/CD pipelines.
• Experience defining and implementing testing strategy (Jest, Cypress, API/integration testing) and observability (Datadog, CloudWatch, OpsGenie).
• Strong grasp of networking and security fundamentals — DNS, authentication/authorization (OAuth, OIDC), encryption, and secure API design.
• Daily, practical use of AI-assisted engineering tools (Claude Code, GitHub Copilot, Gemini) and a working understanding of how to integrate LLM capabilities into applications.

Professional Skills

• Proven track record of designing and personally building complex full-stack systems from concept to production.
• Strong analytical, problem-solving, and debugging skills across the full stack.
• Ability to balance architectural rigor with pragmatism — choosing the simplest design that meets business, delivery, and operational needs.
• Excellent communication skills, with the ability to explain technical decisions to engineers, product leaders, and client stakeholders.
• Mentoring mindset with a track record of raising the technical bar of the teams around them.

Nice to Have Skills

• Experience with event-driven and workflow platforms (Kafka, EventBridge, Temporal, Airflow) and data platforms such as Databricks.
• Experience with Elasticsearch or other high-scale search and indexing platforms.
• Experience building enterprise design systems or shared UI component libraries.
• Familiarity with monorepos and build systems such as Bazel.
• Hands-on experience building GenAI features with AWS Bedrock, Azure OpenAI, or OpenAI APIs (RAG, tool use, agent orchestration).
• Exposure to high-scale SaaS, marketplace, PropTech, or customer-facing digital product platforms.
• AWS Solutions Architect or equivalent cloud certification.

Know more about PPE: https://www.brillio.com/platform-and-product-engineering/

Know what it’s like to work and grow at Brillio: https://www.brillio.com/join-us/

 

Equal Employment Opportunity Declaration

Brillio is an equal opportunity employer to all, regardless of age, ancestry, colour, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (includes pregnancy, childbirth, breastfeeding, and related medical conditions), and sexual orientation.

 
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