Solution Engineer

think
bridge is how growth-stage companies can finally turn into tech disruptors. They get a new way there – with world-class technology strategy, development, maintenance, and data science all in one place. But solving technology problems like these involves a lot more than code. That’s why we encourage think’ers to spend 80% of their time thinking through solutions and 20% coding them.

With an average client tenure of 4+ years, you won’t be hopping from project to project here – unless you want to. So, you really can get to know your clients and understand their challenges on a deeper level. At think
bridge, you can expand your knowledge during work hours specifically reserved for learning. Or even transition to a completely different role in the organization. It’s all about challenging yourself while you challenge small thinking.

think
bridge is a place where you can:

• Think bigger – because you have the time, opportunity, and support it takes to dig deeper and tackle larger issues.
• Move faster – because you’ll be working with experienced, helpful teams who can guide you through challenges, quickly resolve issues, and show you new ways to get things done.
• Go further – because you have the opportunity to grow professionally, add new skills, and take on new responsibilities in an organization that takes a long-term view of every relationship.

think
bridge..there’s a new way there. ™

We live by five core values
:
Outcomes, Quality, Accountability, Communication and Care. This role embodies all five - you'll own outcomes, maintain high technical standards, and communicate effectively across all levels.

Experience Level
:
Mid Level – 10+years in which relevant experience should be 4+ years of experience in Solution Engineering, Software Engineering, Technical Consulting, Product Engineering, or a similar role.

• Candidates should have ability to rapidly transform business concepts into production-ready solutions using modern AI-assisted development platforms, delivering value through fast, iterative release cycles and should have demonstrated
• Hands-on experience leveraging AI-powered software engineering tools (e.g., Claude Code, Cursor, Git Hub Copilot, OpenAI, or similar), combined with modern CI/CD pipelines, automated testing frameworks, and agentic AI-driven quality assurance practices.
• Proven track record designing, building, and scaling complex cloud-native enterprise applications in distributed, microservices-based architectures.
• Deep expertise across major cloud platforms, including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP), with the ability to architect and deploy solutions in multi-cloud environments.
• Strong full-stack engineering capabilities with the ability to independently design, develop, test, deploy, and operate complete applications from concept through production, spanning frontend, backend, data, integrations, and cloud infrastructure.
• Experience making pragmatic build-versus-buy decisions, integrating third-party platforms and APIs, and applying AI technologies to accelerate software delivery while maintaining enterprise-grade security, reliability, and scalability.
• Ability to work directly with business stakeholders to translate ambiguous requirements into scalable technical solutions, prototypes, and production systems.
• Demonstrated success delivering enterprise software with minimal supervision in fast-paced startup or innovation environments.

We are looking for a Solution Engineer with strong experience in AI-powered development tools, cloud platforms (Azure, AWS, GCP), and microservices-based enterprise applications. The ideal candidate should be able to quickly understand business requirements, build prototypes and practical…