Principal Software Engineer I - Social, Healthcare and Public Entities Tech
McKinsey & Company · Bangalore, India +1 · 2d ago
Staff / Lead / PrincipalOn-siteSoftware Engineering
Who you'll work with
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.
When you join us, you will have:
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
What you'll do
You will collaborate with our Social, Healthcare and Public Entities (SHaPE) analytics teams in other technology hubs in the US, Europe, India, and Costa Rica.
SHaPE Tech combines advanced analytics, software engineering, and deep industry expertise to build innovative technology solutions for social, public, and healthcare organizations worldwide. Our teams leverage more than 100 terabytes of integrated claims, clinical, consumer, and other healthcare data to design, deliver, and operate advanced analytical products and software platforms.
You will lead the development of scalable technology assets, mentor teams, and drive architectural vision to solve complex challenges. Collaborating with diverse experts, you’ll foster innovation, improve system performance, and shape high-performing, self-organizing teams.
You will mentor and inspire junior colleagues while driving technical excellence. You’ll be hands-on, solving complex problems, recommending system improvements, and fostering collaboration across distributed teams. Your expertise in Agile methodologies will help build high-performing, self-organizing teams that deliver impactful results.
You will lead the development of innovative technology assets and shape the engineering roadmap across a broad range of topics. You will collaborate with cross-functional teams, you’ll create reusable components, provide technical vision, and align stakeholders on current and future architectures to deliver high-value, scalable solutions.
You will drive engineering excellence through clean architecture, reusable components, coding standards, and design reviews, while ensuring applications meet enterprise standards for security, scalability, observability, reliability, and performance.
You will own technical roadmaps and translate business objectives into scalable engineering solutions. You will lead modernization initiatives involving cloud migration, platform engineering, and application transformation, while partnering with DevOps and Platform Engineering teams to deploy cloud-native applications using container technologies. You will also build and optimize CI/CD pipelines, automated testing, and release processes.
Your work will enable real-world impact by accelerating product development and creating reusable core components. By contributing to McKinsey’s shift toward asset-based consulting, you’ll help expand the firm’s entrepreneurial culture and deliver scalable, high-quality solutions that address complex client challenges.
Your work offers a unique opportunity to grow as a technology leader. Supported by McKinsey’s global network and leadership development resources, you’ll collaborate with diverse experts, expand your skillset, and lead at the forefront of technology innovation.
Your background
- Bachelor’s or master’s degree in computer science or an equivalent field
- 10+ years of experience spanning software engineering, data engineering and engineering leadership
- Strong hands-on experience across both backend and frontend engineering, using Python for backend development and React.js or Angular for frontend development, including experience with APIs, microservices, distributed systems and event-driven architectures
- Strong data engineering experience, including Python, SQL, PySpark, ETL/ELT and data pipelines, with hands-on experience using Databricks; or Snowflake
- Experience building and deploying cloud-native applications and platforms, preferably on AWS or Azure, using Docker and Kubernetes, managed Kubernetes services such as EKS or AKS, and infrastructure as code using Terraform
- Experience with modern engineering and production practices, including CI/CD using GitHub Actions, GitLab CI/CD or Azure DevOps; automated testing using PyTest and Cypress; code quality using SonarQube; and monitoring and observability using Splunk
- Proven technical leadership and people management experience, including shaping technical roadmaps, leading architecture, design and code reviews, establishing engineering standards, developing engineering teams, coaching, and performance management
- Good knowledge and practical experience with Generative AI and agentic AI, including LLMs, RAG, AI agents and agentic workflows, and experience with CrewAI and MCP; familiarity with knowledge graphs, ontologies and semantic layers is also preferred
- Proven ability to take end-to-end technical ownership of complex engineering initiatives and drive delivery in Agile environments, while working effectively with internal clients with differing use cases
- Strong verbal and written communication skills, with the ability to translate business needs into technical solutions and communicate effectively with technical and non-technical stakeholders