Ubiminds

• Develop and maintain features across front-end (React) and back-end (.NET/C#) systems. • Work with messaging systems (SMS, WhatsApp, email) via providers such as Twilio. • Design and evolve solutions for scheduling, calendar integrations, and event-driven workflows. • Contribute to a multi-repository codebase using technologies such as C#, Python, and React. • Support the evolution toward microservices architecture, Kubernetes, and continuous deployment pipelines. • Participate in architectural and cross-team technical discussions. • Experiment with and adopt AI-driven development practices across the software development lifecycle. • Write clean, maintainable, and testable code. • Actively share knowledge and collaborate across teams.

• Design, develop, and deliver scalable multi-tenant SaaS applications using .NET, Angular, SQL Server/PostgreSQL, and AWS. • Own end-to-end delivery of features, from domain modeling and backend services through frontend implementation, automated testing, deployment, and production support. • Generate production-ready code using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, and Replit-based workflows. • Collaborate with Architects to define application architecture and validate technical approaches through Proof of Concepts (PoCs). • Design systems using modern architectural patterns including: Domain-Driven Design (DDD) CQRS Event-Driven Architecture Backend-for-Frontend (BFF) API Gateway • Build modern Angular applications using standalone components, Signals, RxJS, Reactive Forms, and reusable UI architectures. • Design efficient database models and optimize SQL performance for high-volume SaaS applications. • Implement scalable integration, messaging, and distributed system patterns. • Troubleshoot complex production issues, perform root cause analysis, and continuously improve system reliability and performance. • Mentor engineers through architecture guidance, technical leadership, code reviews, and knowledge sharing. • Drive engineering best practices around quality, automation, security, observability, and AI-powered software development.

• Design, develop, and maintain scalable SaaS applications using C#, .NET, Angular, and SQL Server. • Build new features while enhancing existing applications with a strong focus on performance, security, and maintainability. • Participate in architecture and technical design discussions, helping define scalable solutions and engineering standards. • Design and optimize relational databases, stored procedures, indexing strategies, and SQL performance. • Develop and maintain RESTful APIs and contribute to modern API architectures. • Troubleshoot production issues, perform root cause analysis, and continuously improve application reliability. • Write unit and integration tests to ensure high-quality software delivery. • Collaborate with Product, Engineering, and Architecture teams throughout the development lifecycle. • Work in a Shift-Left environment, taking ownership from implementation through testing and production support. • Leverage AI-powered development tools such as GitHub Copilot, Cursor, Claude Code, and similar technologies to improve productivity and software quality.

• Design and implement predictive models and statistical analyses to support business initiatives. • Apply supervised and unsupervised machine learning techniques to solve problems such as customer segmentation, churn prediction, and behavioral analysis. • Partner with business stakeholders to frame analytical problems and translate them into actionable insights. • Prepare, clean, and transform large datasets to support modeling and advanced analytics. • Develop and maintain reproducible analytical workflows using Python, R, SQL, or similar tools. • Build dashboards and analytical reports that help communicate results and support decision-making. • Evaluate model performance and continuously improve models through experimentation and statistical validation. • Promote a data-driven culture across the organization by educating stakeholders on analytical methodologies. • Collaborate in cross-functional teams working in agile environments.

• Design, develop, and deliver scalable multi-tenant SaaS applications using .NET, Angular, SQL Server/PostgreSQL, and AWS. • Own end-to-end delivery of features, from domain modeling and backend services through frontend implementation, automated testing, deployment, and production support. • Generate production-ready code using AI-assisted development tools such as GitHub Copilot, Cursor, Claude Code, and Replit-based workflows. • Collaborate with Architects to define application architecture and validate technical approaches through Proof of Concepts (PoCs). • Design systems using modern architectural patterns including: Domain-Driven Design (DDD) CQRS Event-Driven Architecture Backend-for-Frontend (BFF) API Gateway • Build modern Angular applications using standalone components, Signals, RxJS, Reactive Forms, and reusable UI architectures. • Design efficient database models and optimize SQL performance for high-volume SaaS applications. • Implement scalable integration, messaging, and distributed system patterns. • Troubleshoot complex production issues, perform root cause analysis, and continuously improve system reliability and performance. • Mentor engineers through architecture guidance, technical leadership, code reviews, and knowledge sharing. • Drive engineering best practices around quality, automation, security, observability, and AI-powered software development.

• Own the technical onboarding experience for new customers • Lead hands-on enablement sessions to implement across test frameworks and CI/CD pipelines • Guide customers through initial use cases that align with their success criteria • Ensure customers reach meaningful value quickly and confidently • Drive sustained adoption across teams, projects, and workflows • Help customers expand test coverage, standardize best practices, and scale usage over time • Provide expert guidance on test automation strategy, visual testing, and quality maturity • Identify adoption gaps and proactively recommend technical improvements • Serve as the primary technical point of contact for assigned accounts • Troubleshoot and resolve complex technical challenges in coordination with Support team • Conduct technical health checks, architecture reviews, and optimization sessions • Lead root cause analysis for escalations and recurring issues • Proactively identify technical risks that could impact adoption, satisfaction, or renewal • Partner with CSMs to support renewals and expansions with strong technical validation • Advocate for customer needs by sharing product feedback, patterns, and gaps with Product and Engineering • Collaborate closely with Product, Engineering, Support, Sales, and Customer Success • Contribute to onboarding playbooks, best practices, and enablement materials • Help improve internal processes that scale technical customer success

• Build agentic workflows and AI-powered products. • Design and deliver production-grade AI solutions from concept to deployment. • Collaborate closely with Product and Engineering teams to deliver high-quality software. • Take ownership of ambiguous problems and drive initiatives end-to-end. • Mentor engineers and help elevate the team's AI capabilities. • Contribute to the evolution of AI standards, patterns, and engineering practices. • Develop scalable and maintainable solutions in a polyglot environment. • Promote strong collaboration and transparent communication across teams. • Influence the technical direction and AI culture of the organization.

• Design and implement new features in a React/TypeScript codebase; • Manage routes and server-side rendering with React Router; • Build responsive, accessible UIs using Tailwind CSS and modular CSS; • Integrate with backend services via Axios (or similar) and maintain a clean API client layer; • Define and maintain TypeScript interfaces/models for data and service contracts; • Enforce code quality with ESLint, Prettier, lint-staged and Husky pre-commit hooks; • Write unit/integration tests (Jest, React Testing Library or equivalent); • Collaborate with product and design teams to translate requirements into polished UI; • Troubleshoot bugs, optimize performance, and participate in code reviews

• Build agentic workflows and AI-powered products. • Design and deliver production-grade AI solutions from concept to deployment. • Collaborate closely with Product and Engineering teams to deliver high-quality software. • Take ownership of ambiguous problems and drive initiatives end-to-end. • Mentor engineers and help elevate the team's AI capabilities. • Contribute to the evolution of AI standards, patterns, and engineering practices. • Develop scalable and maintainable solutions in a polyglot environment. • Promote strong collaboration and transparent communication across teams. • Influence the technical direction and AI culture of the organization.

• Build and expand a large-scale healthcare data platform and member management solution. • Design, develop, and maintain high-performance backend services and APIs. • Partner closely with Product and Engineering teams to deliver scalable solutions. • Take ownership of projects from concept through deployment and ongoing operation. • Contribute to AI-powered initiatives and help design and launch AI-driven products and features. • Scale infrastructure that connects healthcare insurance carriers and technology partners. • Improve engineering standards, development practices, and technical processes. • Mentor junior and mid-level engineers through technical guidance and code reviews. • Participate in architecture discussions and long-term technical planning. • Write clean, maintainable, well-tested, and production-ready code.