Top Tech Jobs & Startup Jobs

Build and modernize production cloud-native applications, initially focusing on .NET Framework, modern .NET, and C#. Collaborate with architects, project managers, software teams, and customers to gather requirements, make technical decisions, and deliver AWS solutions. Develop AI-driven testing and expand into additional languages, frameworks, cloud services, and AI technologies. Support migrations including WebForms to Blazor, Windows Services to Docker/ECS, IIS to Linux, and MSMQ to RabbitMQ.

Develop and modernize production applications using .NET, C#, AWS, and cloud-native architectures. Collaborate with architects, project managers, sales, and clients to gather requirements, make technical decisions, and deliver software solutions. Perform .NET migrations, containerization, messaging modernization, AI-driven testing, and application architecture work while expanding into additional languages, AWS services, and AI technologies. The role is fully remote and may involve up to 25% travel.

Build and modernize cloud-native client applications with a strong .NET and C# focus. Collaborate with architects, project managers, sales, and customers to gather requirements, make technical decisions, deliver production-ready AWS solutions, and implement AI-driven testing. Work across .NET Framework, modern .NET, cloud services, additional programming languages, frameworks, and AI technologies as client engagements evolve. The role is fully remote and may require up to 25% travel.

Lead architecture and delivery of complex, AI-first cloud-native software solutions for enterprise clients. Responsibilities include requirements gathering, architectural decision-making, backlog development, discovery sessions, solution documentation, AI-driven testing, mentoring engineers, risk escalation, executive communication, and pre-sales support. The role requires deep AWS and software development expertise, experience with scalable architectures and integrations, and the ability to lead high-stakes professional services engagements.

Lead architecture and delivery of large-scale, AI-first cloud-native software solutions for enterprise clients. Responsibilities include requirements gathering, technical decision-making, backlog development, architecture design, hands-on development, AI-driven testing, stakeholder communication, risk escalation, mentoring, status reporting, and pre-sales support. The role requires deep AWS and software development expertise, experience with complex integrations and modernization, and the ability to lead high-stakes consulting engagements.

Lead complex enterprise cloud-native software engagements, designing AI-first solutions, gathering requirements, making architectural decisions, and guiding delivery teams. Collaborate with client leadership, engineers, sales, and project managers; create architecture designs, oversee testing, mitigate delivery risks, communicate status, and support pre-sales. Mentor engineers and contribute hands-on across AWS, backend development, integrations, databases, microservices, and emerging AI technologies.

Lead AI engagements, shaping strategy and architecture. Engage with various stakeholders, design AI operating models, and facilitate workshops. Drive expansion opportunities and contribute to internal frameworks.

Lead AI strategy and architecture engagements, design AI operating models, and facilitate executive communication while ensuring successful implementation with a Forward Deployed Engineer.

Lead end-to-end technical project management for Amazon Connect and AWS contact center implementations. Responsibilities include client engagement, project planning, scope, budget, risk management, technical solution oversight, integrations, testing, analytics, CI/CD, knowledge transfer, continuous improvement, and mentoring. The role requires strong AWS and contact center expertise, project management capabilities, and communication skills. It is fully remote and may require up to 25% travel.

Lead end-to-end technical project management for AWS Amazon Connect contact center implementations. Manage scope, schedules, budgets, risks, client relationships, technical integrations, testing, and handoffs. Oversee contact flows, AI/ML features, analytics, CI/CD, security, and solution scalability while coordinating cross-functional teams. Develop implementation assets, improve delivery methods, present solutions to clients, and mentor junior team members.