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Solutions Architect (Full Stack, Data, Cloud, Reliability)
Solutions Architect (Full Stack, Data, Cloud, Reliability)Apex Systems • Toronto, Canada
Solutions Architect (Full Stack, Data, Cloud, Reliability)

Solutions Architect (Full Stack, Data, Cloud, Reliability)

Apex Systems • Toronto, Canada
3 days ago
Job type
  • Full-time
Job description

Solutions Architect (Full Stack, Data, Cloud, Reliability)

Direct message the job poster from Apex Systems

Solution Architect (Full Stack, Data, Cloud, Reliability)

Flexible (Canada); remote / hybrid

Contract to Hire

We are seeking a hands‑on Solution Architect to lead the design, development, and modernization of customer‑facing web applications and microservices. You will architect and deliver solutions using React + Node.js on the frontend and Spring Boot (Java) on the backend, with MySQL as the database, deployed to Microsoft Azure. You will drive technical strategy, resolve cross‑team dependencies, and ensure reliability, scalability, and data quality. Collaboration with product, QA, SRE / DevOps, and data teams is essential. Experience with enterprise data warehousing, ETL, and secure integrations is highly valued.

Must‑Have Qualifications

8+ years of professional software development and architecture experience, including production web applications and services.

Hands‑on expertise in Spring Boot (Java), building microservices, REST APIs, and service layers.

Advanced React + Node.js experience for performant, accessible SPAs and backend integrations.

Deep knowledge of MySQL : schema design, migrations, query optimization, indexing, and data modeling.

Proven track record architecting and deploying solutions on Azure (App Service, AKS, Functions, Storage, Key Vault).

Experience with CI / CD pipelines (GitHub Actions), automated testing, and code quality enforcement.

Strong understanding of security (OWASP), authentication / authorization, and compliance.

Demonstrated ability to resolve cross‑team architectural dependencies and drive technical decisions.

Effective communication and leadership in agile teams (Scrum / Kanban).

Preferred / Value‑Add Skills

Experience with enterprise data warehouse, ETL, and data quality / lineage.

Familiarity with OpenAPI / Swagger, API gateways, Kafka, Redis, and caching strategies.

Observability tooling (metrics, logs, traces), reliability patterns, and performance profiling.

Experience with feature flags, progressive delivery, and rapid prototyping.

Ability to evaluate and drive future technical directions (AI / LLM integration, dashboard modernization).

Responsibilities

Architect and deliver end‑to‑end solutions across React / Node frontend and Spring Boot / Java microservices, backed by MySQL.

Design and implement scalable, reliable RESTful APIs; document with OpenAPI.

Lead modernization efforts, address technical debt, and optimize system reliability and scalability.

Resolve cross‑team dependencies, especially user permissions and data sync with Connect and other teams.

Oversee data architecture : relational schemas, migration strategy, query tuning, and data quality.

Drive rapid prototyping for business requirements and validate solutions with stakeholders.

Operate and optimize Azure deployments : containerization, configuration / secrets management, health checks, and observability.

Apply secure coding practices, support audits, and ensure compliance.

Lead agile collaboration, document architecture decisions, and mentor peers.

Tools & Technologies

Runtime & Packaging : Node.js, npm, Docker.

CI / CD & Repo : GitHub, GitHub Actions, code owners, protected branches, environment secrets.

Quality : Jest, React Testing Library, JUnit, Dynatrace or similar.

Key Outcomes (First 6–12 Months)

Architect and ship multiple releases with strong reliability, coverage, and observability.

Reduce technical debt and improve system scalability and reliability.

Streamline CI / CD and Azure deployments for repeatable, secure delivery.

Resolve cross‑team architectural challenges and improve data integration patterns.

Contribute to future technical strategy (AI / LLM, dashboard modernization).

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