Note: The job is a remote job and is open to candidates in USA. thinkbridge is a global digital product development firm seeking a Solution Engineer to rapidly transform business concepts into production-ready solutions. The role focuses on working with stakeholders, building AI-assisted prototypes and applications, evaluating SaaS and custom solutions, and transitioning prototypes into secure, scalable production systems.
Responsibilities
- Work directly with business stakeholders and non-technical executives to understand business problems and desired outcomes
- Convert ambiguous business requirements into clear technical requirements and solution designs
- Ask the right questions to uncover workflows, constraints, integrations, and success criteria without relying on deeply technical discussions
- Rapidly build working prototypes and business applications using modern development tools, low-code/no-code platforms, and AI-assisted ("vibe coding") approaches
- Evaluate and recommend the right mix of SaaS products, custom development, and integrations to achieve business outcomes quickly
- Deliver functional solutions with a strong focus on speed-to-outcome and business value
- Identify gaps between a rapidly developed ("vibe coded") application and a production-grade system
- Clearly articulate production-readiness requirements—including scalability, security, reliability, maintainability, testing, and monitoring—to Full Stack Engineering teams
- Collaborate with engineers to transition prototypes into production-ready solutions
- Drive projects forward despite ambiguity, changing requirements, or technical obstacles
- Demonstrate ownership and resourcefulness without getting blocked by minor technical challenges
Skills
- 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
- 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
- They should be outcome-driven, skilled in modern development practices, and capable of delivering production-ready solutions efficiently
- Experience Level : Mid Level – 10+years in which relevant experience should be 4+ years of experience in Solution 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, GitHub 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
- Overall looking for 10+ years of experience
- Must have minimum 4+ years of experience in Solution Engineering, Software Engineering, Technical Consulting, Product Engineering, or a related role
- Hands-on experience leveraging AI-powered software engineering tools (e.g., Claude Code, Cursor, GitHub 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 problem-solving skills and the ability to independently find paths to solutions
- Proven ability to gather requirements from non-technical stakeholders and translate them into technical designs
- Ability to quickly evaluate technical trade-offs and make practical solution recommendations
- Strong understanding of software architecture fundamentals and production system requirements
- Experience identifying why prototype or vibe-coded applications fail in production and understanding how to address those gaps
- Excellent verbal and written communication skills, with the ability to communicate effectively with both business and technical audiences
- Strong execution mindset with a demonstrated ability to maintain momentum and deliver outcomes under uncertainty
Benefits
- Dedicated Learning & Development Budget: Fuel your growth with a budget dedicated solely to learning.
- Cutting-Edge Projects: Work on exciting projects with the latest technologies.
- Employee-Friendly Leave Policy: Recharge with ample leave options designed for a healthy work-life balance.
- Remote-First Culture: At think bridge, we all work from wherever we choose but come together during set hours to collaborate.
- All leaves taken are paid leaves.
- Think bridge offers Day 1 coverage with fully paid Medical (employee + dependents), 75% paid Vision (employee only), and a fully funded HSA.
- Reimbursement for approved certifications and short courses that support your role.
- An inclusive workplace where all voices are valued.
Company Overview