Senior Full Stack Consultant

Role overview

Full-stack engineering and design

• Design, develop, test, and maintain secure, scalable, highly available full-stack applications.
• Translate business and functional requirements into technical designs, architecture decisions, and delivery plans.
• Build cloud-native solutions using microservices, stateless service patterns, containerization, and API-first principles.
• Contribute to architecture reviews, technology selection, engineering standards, platform roadmaps, coding, troubleshooting, and resolution of production issues.

Frontend engineering

• Develop responsive single-page applications using Python, React, Next.js, TypeScript, and modern web standards.
• Build reusable component libraries and design systems using tools such as Tailwind CSS, Radix, or ShadCN.
• Implement role-based dashboards, accessible interfaces, reusable state and data-fetching patterns, and responsive workflows.
• Optimize frontend performance, usability, maintainability, browser compatibility, and accessibility.

Backend, APIs, and integration

• Develop backend services and microservices using Java, Spring Boot, Node.js, or NestJS.
• Build REST and SOAP services, enterprise integration layers, background processing, and event-driven workflows.
• Implement authentication, authorization, role-based access control, audit logging, idempotency, and exception handling.
• Design configurable workflows, approval processes, task orchestration, and regulatory process automation.
• Integrate enterprise platforms and external providers; implement synchronous and asynchronous integrations using REST, SOAP, or equivalent messaging technologies.
• Design persistence services using PostgreSQL, Snowflake, Oracle, MySQL, or equivalent relational databases; apply practices for transactions, data integrity, query optimization, resiliency, and recovery.

Cloud, DevOps, and technical leadership

• Package and deploy applications using Docker, Kubernetes, OpenShift, and Helm; build and maintain CI/CD pipelines using GitLab, Jenkins, or equivalent platforms.
• Implement logging, monitoring, alerting, health checks, and operational dashboards; improve automated build, testing, security scanning, deployment, and rollback practices.
• Contribute to infrastructure automation and environment consistency using Infrastructure as Code where applicable.
• Mentor engineers, conduct code and design reviews, and promote consistent engineering practices.
• Collaborate with product, business analysis, architecture, QA, cybersecurity, infrastructure, and release teams; lead technical estimation, sprint planning, dependency management, risk resolution, and delivery governance.
• Produce architecture decisions, technical documentation, API specifications, operational runbooks, and knowledge-transfer materials.

AI-assisted engineering

• Use approved AI-assisted development tools to improve productivity, documentation, testing, and code quality.
• Establish governed AI-assisted workflows with human review, security, compliance, traceability, and intellectual property controls.
• Assess emerging engineering tools and recommend adoption patterns aligned with enterprise standards.

Education

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