À propos de ce poste Technical Consultant, Modern Apps chez Thinkahead
This hands-on delivery role within the Modern Apps practice focuses on building software: designing, writing, testing, debugging, and deploying production-quality code within client engagements. The ideal candidate brings strong coding ability, sound engineering habits, a growing sense of technical judgment, and a passion for delivering high-quality software faster through effective use of AI-assisted development tools.
Technical Consultants own defined features, components, and small workstreams end to end. They operate with day-to-day independence while working inside the technical direction set by a Senior or Principal Technical Consultant, and are trusted contributors on delivery teams building and modernizing web applications, mobile applications, APIs, functions, and related platform services.
In Modern Apps, this role is especially well suited to engineers who are excited about AI-native software delivery. Candidates should be productive daily users of tools such as Claude Code and have experience using AI to accelerate coding, testing, debugging, documentation, and other parts of the software development lifecycle.
Responsibilities:
Deliver hands-on development across greenfield and brownfield application engagements
Design, write, test, debug, and deploy production-quality code across modern application stacks
Own defined features, components, and small workstreams from implementation through delivery with limited supervision
Write and maintain automated tests, and validate that delivered work meets functional, performance, and security expectations
Participate in code reviews as both author and reviewer, giving useful feedback on correctness, readability, and maintainability
Use AI-assisted development tools daily for code generation, refactoring, debugging, test creation, and documentation
Extend AI into supporting SDLC activities such as test coverage, engineering documentation, story refinement, and technical research
Review and verify AI-generated output before committing it rather than accepting results at face value
Produce component-level and feature-level designs and document them clearly for the team and the client
Apply established design patterns correctly and recognize common anti-patterns in implementation-level work
Coach Associate and Senior Associate Technical Consultants through pairing, code review feedback, and day-to-day guidance
Own the quality, timeline, and handoffs for assigned work, and raise risks and blockers early
Serve as a dependable point of contact for client project-team stakeholders, and present and defend your work in customer sessions
Qualifications:
working proficiency in a second: Java, C#, JavaScript, or Python
Demonstrated ability to write, test, debug, and deliver production-quality code with limited supervision
Solid understanding of the software development lifecycle and Agile delivery practices
Practical experience with automated testing and testing strategies for reliable, production-ready code
Working knowledge of design patterns and anti-patterns, with the ability to produce component-level and feature-level design artifacts
Experience building or modernizing applications, APIs, and cloud-native services using modern development frameworks and DevOps practices
Working knowledge of security, CI/CD, source control practices, and operational basics such as logging and monitoring
Proficiency with AI development tools, especially Claude Code; experience with Cursor, Windsurf, GitHub Copilot, Continue.dev, and similar tools is valued
Ability to apply prompting, context management, and output validation, and to use AI beyond coding for test creation, documentation, and technical research
Ability to work independently on defined scope, manage competing priorities, and know when to escalate ambiguous or high-risk decisions
Clear written and verbal communication, including the ability to explain technical work to client project-team stakeholders
Preferred Qualifications:
Consulting or professional services background in custom application development or modernization
Experience contributing to modernization of legacy or brownfield applications
Experience with messaging, event-streaming, or integration technologies
Experience across more than one delivery pattern, such as web, mobile, API, integration, or serverless
Relevant cloud platform certifications
Experience coaching or onboarding junior engineers
Community involvement such as writing, internal enablement, or meetup participation
