Senior Technical Consultant, Modern Apps at Thinkahead
- Company: Thinkahead
- Location: India
- Job type: full time
- Workplace: remote
- Posted: 2026-09-18
Job description
AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. 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: 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 Qualifications: 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
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