Jobs at Ubiminds

Ubiminds is creating a talent community to connect individuals to US and Canadian job opportunities, providing support for career and logistics.

The Account Executive will drive revenue growth, manage strategic partnerships, and enhance client satisfaction through consultative selling and account management.

Manage the full recruitment cycle for Core Team positions, support tech recruitment, ensure a great candidate experience, and contribute to employer branding.

As a Senior Software Engineer, you'll enhance a learning platform using Python and React, mentor junior engineers, and collaborate across teams.

Lead end-to-end design and delivery of a cloud-native, multi-tenant SaaS platform using .NET and Angular. Define architecture (DDD, CQRS, event-driven), optimize data models, implement scalable backend and frontend, leverage AI-assisted development tools, ensure CI/CD, observability, and mentor engineering teams.

The role involves developing and maintaining software using C# and React, collaborating with cross-functional teams, and ensuring code quality through best practices.

Build and maintain internal platform capabilities, optimize cloud infrastructure, embed security controls, and reduce operational burdens for product engineering teams. The role owns platform work from design through production, supports teams adopting tooling and practices, manages AWS and Kubernetes infrastructure, develops Terraform automation, maintains GitLab CI/CD pipelines, and uses Python and AI productivity tools. The position is fully remote and requires collaboration, initiative, and comfort with ambiguity.

Design and build AI agentic systems that collaborate with developers across the SDLC, including planning, coding, testing, deployment, LLM integration, tool use, orchestration, reasoning loops, and context management. Architect scalable distributed systems on AWS, evaluate .NET and other ecosystems, and guide engineering teams in production implementation.

Design, build, and maintain scalable backend integrations between internal systems and third-party platforms using .NET, C#, Node.js, Python/Django and AWS. Contribute to architecture, code reviews, mentoring, testing, troubleshooting production issues, and documentation while collaborating with distributed Product and Engineering teams.

Lead strategic customer engagements to deliver cloud cost intelligence and FinOps guidance. Onboard and implement customers, analyze billing/usage data, produce KPI-driven executive reviews, build repeatable technical solutions and playbooks, mentor TAMs, create standards for data analysis and dashboards, and drive adoption and NPS improvements.

Design, build, and maintain scalable enterprise SaaS systems using C#/.NET Core and SQL Server. Implement RESTful APIs, apply DDD and CQRS patterns, use Entity Framework for data access, write and test code (unit/integration/performance), optimize database and application performance, collaborate with product and cross-functional teams, and use AI development tools like GitHub Copilot or Claude to accelerate development.

Lead backend development of a healthcare data platform: design and maintain APIs, scale distributed infrastructure, launch AI initiatives, write high-quality Rust code, own projects end-to-end, improve engineering standards, and mentor junior engineers.

Design, develop, and maintain cloud-native SaaS applications using C#, .NET, and Angular. Build backend services with Entity Framework, design data models, optimize SQL queries, implement JSON-based dynamic UIs, write unit/integration tests, troubleshoot production issues, and use AI-assisted tools to improve engineering productivity within a Shift Left development approach.

Serve as a technical, customer-facing TAM driving onboarding, implementation, adoption, and ongoing technical success for visual AI test automation. Lead hands-on enablement across test frameworks and CI/CD, troubleshoot complex issues, run architecture reviews, perform root-cause analysis, and advocate customer needs to Product and Engineering to reduce adoption risk and support renewals.

Lead technical onboarding, implementation, and adoption for visual AI test automation. Provide hands-on enablement across test frameworks and CI/CD, troubleshoot complex issues, run architecture reviews, drive adoption and best practices, advocate customer needs to Product and Engineering, and support renewals and expansions with technical validation.

Build and maintain integrations between the platform and external ATS systems, innovate internal tooling, automate repetitive workflows, ensure performance and reliability, write tests and documentation, participate in code reviews and team meetings, and mentor junior engineers.

Design and lead architecture for scalable, secure cloud-native SaaS using .NET. Drive API-first, microservices, event-driven patterns; mentor engineers; collaborate with Product, DevOps, and AI teams; champion AI-first tooling and agentic workflows to improve productivity and automation.