This is a remote position.
- 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.
- 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.
- 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.
Requirements
- 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 thinkbridge, we all work from wherever we choose but come together during set hours to collaborate. Using simple online tools, we stay connected and get great work done.
- Leave & Time-off – All leaves taken are paid leaves. And all the leave and time off are likely pre-approved leaves intended for planned vacations, personal commitments, or any other needs requiring prior approval.
- thinkbridge offers Day 1 coverage with fully paid Medical (employee + dependents), 75% paid Vision (employee only), and a fully funded HSA.
- At thinkbridge, you get reimbursed for approved certifications and short courses that support your role.
- We embrace diversity and ensure equal opportunity for everyone, fostering an inclusive workplace where all voices are valued.
Skills Required
- 10+ years of overall professional experience
- 4+ years of experience in solution engineering, software engineering, technical consulting, product engineering, or a related role
- Hands-on experience with AI-powered software engineering tools such as Claude Code, Cursor, GitHub Copilot, OpenAI, or similar
- Experience with CI/CD pipelines, automated testing frameworks, and agentic AI-driven quality assurance
- Experience designing, building, and scaling complex cloud-native enterprise applications using distributed microservices architectures
- Deep expertise with Microsoft Azure, Amazon Web Services, and Google Cloud Platform, including multi-cloud deployments
- Strong full-stack engineering capabilities across frontend, backend, data, integrations, and cloud infrastructure
- Experience evaluating build-versus-buy decisions and integrating third-party platforms and APIs
- Ability to gather requirements from non-technical stakeholders and translate them into technical designs
- Strong understanding of software architecture and production-system requirements
- Ability to identify and resolve production-readiness gaps in prototypes or AI-assisted applications
- Strong problem-solving, communication, execution, and decision-making skills
What We Do
The year was 2014. Software development was becoming increasingly commoditized. Speed and cost issues were taking priority over strategy, execution, and long-term scalability. Growth-stage companies were getting caught in the middle of it all. If they turned to one of the many smaller dev shops that emerged, they wouldn’t get the strategic capabilities and thinking needed to make their project successful. But if they went with a big consulting firm, the costs would be prohibitive. That’s when a group of consulting and technology veterans came together over a new idea for software development. They knew that developers would get better results if they had more time to think through their projects before rushing straight to coding. And they wanted to start an employee-focused company that was all about enabling developers to do their best work. So they created a new model for outsourced development where developers would spend 80% of their time thinking about the solution and 20% coding it. This would give smaller companies the strategic thinking needed to compete with much larger corporations. Today, thinkbridge is how mid-market companies turn into tech disruptors, drive growth, and increase their valuations. Middle market leaders are no longer stuck between the limitless costs of big consulting firms and the limited capabilities of smaller dev shops. With a unique “think bigger, move faster, go further” approach to technology innovation, thinkbridge has achieved a client NPS rating in the 90s and a client retention rate of over 90%. thinkbridge. There’s a new way there Think Bigger | Move Faster | Go Further








