Job ID: 106905
Gurugram
Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem\-solver who is energized by challenges? You’ve come to the right place.
YOUR IMPACT
You will own and shape entire products or complex, multi\-system platforms — from problem definition and architectural vision through delivery, production reliability, and long\-term evolution.
You will operate at the intersection of engineering, architecture, and business, with high autonomy and product\-wide impact. You will define product\-level system architecture, make foundational technical decisions, and design AI\-native systems that are reliable, observable, and safe to operate in production — including explicit guardrails for AI non\-determinism, model behavior, and system integration.
You will use AI\-assisted development tools (e.g., Cursor, Claude Code, or similar AI\-native engineering platforms) as a default part of your day\-to\-day engineering work, while also driving effective adoption across peers by setting standards, sharing best practices, and ensuring responsible, production\-grade usage. You are accountable for correctness, resilience, scalability, and business alignment of the full system.
You will partner directly with product, business, and leadership stakeholders — challenging assumptions, shaping feasibility, and translating business intent into durable technical strategy.
YOUR GROWTH
You are someone who thrives in a high\-performance environment, bringing a growth mindset and entrepreneurial spirit to tackle meaningful challenges that have a real impact.
In return for your drive, determination, and curiosity, we’ll provide the resources, mentorship, and opportunities to help you quickly broaden your expertise, grow into a well\-rounded professional, and contribute to work that truly makes a difference.
YOUR QUALIFICATIONS AND SKILLS
Bachelor’s or master’s degree in a technology\-related field
14\+ years of software engineering experience, including ownership of large\-scale or mission\-critical production systems
Proven experience owning end\-to\-end system or product architecture, not just individual components
Deep expertise in one or more engineering domains (e.g., distributed backend systems, cloud platforms, data systems, front\-end architecture, or platform engineering)
Strong experience designing and operating AI\-enabled or AI\-augmented systems in production, with an understanding of their unique risks and constraints
Demonstrated ability to make and defend high\-stakes architectural decisions under ambiguity
Experience in Data modeling and storage (SQL and NoSQL)
Cloud\-native architectures (AWS, Azure, GCP)
Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.
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