Technical Consultant, Modern Apps

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