Your Impact 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 McKinseys shift toward asset-based consulting, youll help expand the firms 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 Growth 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 wont 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 firms 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. Your Qualifications and Skills Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics, or equivalent experience 8+ years of relevant experience Proven experience developing full-stack applications by writing code that is readable, testable, maintainable, and scalable Demonstrated knowledge and hands-on experience across the full application stack with a variety of languages/frameworks Proficient in either Cloud technologies e.g. AWS, Azure or GCP Ideally experience working with internal clients whose requirements are different depending on their use cases Experience working in Agile teams, including active participation in sprint ceremonies Experience pair programming collaboratively with other developers Demonstrated experience working collaboratively with other developers, as well as technical and non-technical people within software teams While we advocate for using the right tech for the right task, we often leverage the following technologies: Java, JavaScript, R, Python, SQL Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment Strong communication skills, both verbal and written, in English and local office language(s), with the ability to adjust your style to suit different perspectives and seniority levels