IAM Automation & Workflow Engineer

🌍 Remote, USA 💹 Full-time 🕐 Posted Recently

Job Description

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.

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.

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.

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.

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).