IAM Automation & Workflow Engineer

Job Title: Senior UI/UX Fullstack Engineer Location: Charlotte, Detroit or Tampa (1 day per month onsite) Remote Employment Type: 1 year contract to hire We are seeking a highly driven and experienced Senior Software Engineer with deep expertise in building scalable applications and solving complex, real-world operational challenges. Strong Hands-on with Cloud paradigm (AWS or Google Cloud Platform or Azure) and AI/ML features. The Individual will lead architectural discussions, guide engineering teams, and deliver high-quality solutions in a fast-paced environment focused on innovation, automation, scalability, and operational excellence. The individual will thrive in managing multiple concurrent projects within a collaborative, growth-oriented culture that values teamwork and innovation.

Responsibilities

• Development & Architecture Lead the architecture, design, and development of front-end and back-end applications
• Build reusable UI components following platform-specific design patterns and industry best practices.
• Ensure applications maintain high performance, scalability, and security standards.
• Systems, Backend & Automation Architect automation systems for device provisioning, testing workflows, and large-scale lab orchestration.
• Design, build, and integrate backend services, RESTful/GraphQL APIs, and distributed systems.
• Drive enhancements in deployment pipelines, infrastructure automation, monitoring, alerting, and reliability.

Collaboration & Leadership

• Work closely with Product, QA, SRE (site reliability engineer), Data, and other cross-functional teams to deliver end-to-end solutions.
• Conduct design reviews, mentor junior and mid-level engineers, and provide technical leadership.
• Identify workflow gaps and build automation solutions to eliminate inefficiencies.
• Collaborate with metrics/analytics teams to integrate operational KPIs and system telemetry.

Operational Excellence

• Troubleshoot and debug complex, multi-system issues across front-end, backend, and cloud layers.
• Establish coding standards, design principles, and best engineering practices.
• Deliver solutions that scale with minimal operational overhead and support rapid product growth.
• Strong problem-solving abilities and experience working in agile development environments.
• Ability to work across the full stack and deliver end-to-end features independently.

Qualifications

• 8+ years of professional software engineering experience, with strong expertise in full-stack application development.
• Demonstrated technical leadership: architecture, design, mentoring, code quality, cross-team collaboration.
• Strong proficiency in HTML5, CSS3, JavaScript (ES6+), and TypeScript.
• Hands-on experience with at least one modern frontend framework: React, Angular, Vue, or Svelte.
• Strong understanding of UI/UX implementation, responsive design, and component-based architecture.
• Experience building RESTful APIs and GraphQL APIs.
• Ability to design and implement scalable backend services and API integrations.
• Practical experience with backend or middleware development using Node.js/Express/NextJS or equivalent frameworks.
• Strong knowledge of authentication and authorization (JWT, OAuth, session management).
• Hands-on experience with SQL databases (PostgreSQL, MySQL, SQL Server), including schema design, indexing, and query optimization.
• Experience with NoSQL databases such as MongoDB, DynamoDB, or Firestore.
• Cloud experience with AWS or Google Cloud Platform (compute, storage, databases, networking, IAM).
• Experience deploying applications using cloud-native services and CI/CD pipelines.
• Familiarity with containerization and basic DevOps workflows.
• Exposure to containerization (Docker) and infrastructure as code tools (Terraform, CloudFormation).
• Strong understanding of version control (Git), branching strategies, and code review best practices.
• Good understanding of software engineering fundamentals, data structures, algorithms, and design patterns.
• Strong debugging and performance optimization skills across frontend, backend, and databases.
• Experience with middleware patterns, logging, monitoring, and error handling.
• Familiarity with automated UI testing frameworks (Appium, Espresso, Playwright).
• Hands-on experience integrating AI/ML features into web apps (either on-device or via cloud AI APIs/MCP).
• Strong understanding of LLM integration patterns (prompt design, retrieval calls, structured output parsing, rate limiting, retries/idempotency).
• Practical experience with any one of the Machine Learning stacks: TensorFlow, or PyTorch etc..
• Experience measuring and improving latency, cost, and quality (e.g., response time SLOs, token usage budgets, success metrics).

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