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
Requirements
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
Tech Stack
Cloud
Java
JavaScript
Python
SDLC
Benefits
Comprehensive health insurance coverage for employees, with options to extend coverage to dependents
Paid time off and company holidays, along with additional leave benefits as per policy
Flexible work arrangements, supporting work-life balance
Learning and development opportunities to support continuous growth and upskilling
Employee wellness initiatives and programs focused on physical and mental well-being
Retirement and statutory benefits in line with India regulations
Inclusive and people-first culture, with a strong focus on collaboration and ownership