Solution Engineer

About think bridge

think bridge builds the business systems growing companies run on: ERP replacements, connected systems, AI agents inside real workflows and modernized legacy software. We have built custom software for growing companies for more than 12 years.

Today we deliver every system with think One, our method that pairs our experts with our agentic engineering and delivery platform. The platform writes much of the code. Our people understand the client's business, work out the right solution and take it to production. A typical system goes live in about four months. Our commitments to clients are written into the contract before a build starts.

Why work at think bridge

• About 80% of the job is thinking and problem solving : the rest is building.
• Our clients stay with us for four to five years on average, so you get to know their business well.
• Part of the working week is set aside for learning, so it doesn't eat into your evenings.
• You can move into a different role inside think bridge.
• We are Great Place to Work Certified and have an employee NPS above 90. See what our people say and the industry firsts behind our certification.

Benefits:

Benefits built for remote-first work

• Work from anywhere.
• Shape your day around your life, as long as the work lands on time.
• Take time off when you need it.
• A work laptop of your own, set up the way you like it within our security guidelines.
• Weeks when the team gets together in person to work side by side.
• Learning time in working hours, and paid certifications.

Five values guide how we build for clients and how we work with each other: Outcomes, Quality, Accountability, Communication and Care.

In practice:

• We take software to production.
• We check our work before anyone else has to.
• We stand by our commitments.
• We keep people informed in plain language.
• We treat a problem as ours to solve.

We hire curious people who own the outcome. Meet the team that leads thinkbridge.

New graduates

thinkSchool is where graduates start their careers at thinkbridge.

Equal opportunity

think bridge is an equal opportunity employer. We hire on skills and character, and we treat every applicant fairly.

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Questions about working at thinkbridge

About Role ;

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

Role Overview : 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.

• 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.

What You'll Do

As part of the job, you will be required to:

• 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.

What We're Looking For

Must have technical skills

• 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.

think bridge

there's a new way there.™