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India
Hybrid
This senior technical role within the Modern Apps practice focuses on hands-on delivery, tactical execution, and technical leadership across custom application development and modernization engagements. The ideal candidate brings deep expertise in modern application engineering, strong coding ability, architectural judgment, and a passion for helping teams deliver high-quality software faster through effective use of AI-assisted development tools.
Senior Technical Consultants typically lead smaller, single-team projects or serve as expert contributors within larger programs. They are expected to operate as highly independent technical leaders, mentor junior engineers, and solve complex implementation challenges across 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 highly proficient with tools such as Claude Code and have experience using AI to accelerate coding, debugging, testing, documentation, and other parts of the software development lifecycle.
Lead hands-on development across greenfield and brownfield application initiatives
Write, review, debug, and improve production-quality code across modern application stacks
Solve difficult technical problems with efficient, well-architected solutions
Guide junior consultants through code reviews, technical coaching, onboarding, and knowledge-sharing
Leverage a variety of AI Assisted development tools and be able to build and judiciously use AI agents
Extend AI into broader SDLC activities such as story creation, requirements refinement, and engineering documentation
Produce architectural documents and high-level technical designs when needed
Apply strong design patterns and identify anti-patterns in applications, APIs, and cloud-native systems
Support delivery teams with quality, security, testing, DevSecOps, and operational readiness practices
Contribute to technical deliverables, implementation plans, and reusable engineering assets
Occasionally support pre-sales, scoping, and solutioning efforts as part of smaller pursuits or growth toward Principal responsibilities
Deep expertise in at least two of the following languages: Java, C#, JavaScript, or Python
Strong ability to design, write, debug, and review complex application code
Strong understanding of the full software development lifecycle and Agile delivery practices
Strong experience with test-driven development, testing strategies, and writing bulletproof code
Strong working knowledge of architecture, design patterns, and anti-patterns
Experience building modern applications, APIs, and cloud-native services
Practical experience with security, DevSecOps, CI/CD, observability, and production-readiness practices
Strong proficiency with AI development tools, especially Claude Code; experience with Cursor, Windsurf, GitHub Copilot, Continue.dev, and similar tools is highly valued
Ability to structure context, set expectations, validate outputs, and use AI effectively across coding and adjacent SDLC activities
Strong mentoring skills and the ability to help junior engineers improve through direct technical guidance
Strong communication skills and the ability to explain technical concepts clearly
Ability to work independently and solve complex technical problems with minimal direction
Strong consulting background in application development, architecture, or modernization
Experience with automated software analysis tools
Experience leading whiteboarding sessions and technical design discussions
Community involvement through writing, speaking, or technical leadership in internal or external forums
Experience supporting technical scoping, RFPs, or pre-sales activities