Software Engineer II - FinLab

McKinsey & Company, Inc.; Bengaluru; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

McKinsey & Company, Inc. in Bengaluru is seeking a skilled software engineer to design and implement custom software tools within client environments.

You will shape the stack, back-end, front-end, and visualization layers, collaborating with data scientists, ML engineers, and business experts to deliver impactful solutions. You will work across production-grade software, AI-driven applications, and scalable architectures while promoting best practices and cross-functional collaboration.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, or related field.
• 3+ years of full-stack or software development experience in a production environment.
• Strong knowledge of server-side languages (Python, Java, Ruby, Node.js or .NET) and frameworks (Flask, SQLAlchemy, Pandas, Spark).
• Familiarity with RESTful APIs, JSON, web sockets, streaming protocols, and microservices architecture.
• Experience with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB).
• Hands-on experience developing Generative AI applications, including LLM engineering, prompt engineering, RAG, and autonomous or collaborative agentic systems.
• Proficient in Git, code reviews, and agile methodologies such as Scrum.
• CI/CD, DevOps practices, and Docker containers.
• Cloud platforms, especially Microsoft Azure and AWS (Snowflake or GCP a plus).
• Data platforms/pipelines: Snowflake, Databricks, ETL/ELT orchestration (Airflow).
• Creative problem-solver with cross-cultural collaboration abilities.

Responsibilities

• Collaborate cross-functionally with business stakeholders and technical teams to design and deliver impactful, reliable, and reusable solutions.
• Design and build scalable applications and infrastructure with robust, modular, and reproducible software.
• Develop and maintain production-grade software, write clean, secure code, and participate in code reviews and debugging.
• Enhance development workflows, adopt new technologies, and promote best practices in software and data engineering.

Job description

You will make custom software tools that will be implemented directly within our client organizations.

You will help us design and architect our stack and make it successful. You will also help design our back-end, front-end and visualization tools and together with a team, you will make them come alive. You will have a unique opportunity to exercise your creativity and technical skills whilst growing into a thought leader in the financial services space and a technology leader at our firm.

You will work with other software engineers, data scientists, ML engineers, designers, project managers and business subject matter experts on interdisciplinary projects. You will: collaborate cross-functionally with business stakeholders, software engineers, data scientists, data engineers, and internal teams to design and deliver impactful, reliable and reusable solutions; develop and apply deep domain understanding to client problems and internal R&D efforts, using innovative analytical approaches to create measurable impact; design and build scalable applications and infrastructure ensuring robustness, modularity, and reproducibility, even under the non-deterministic nature of Generative AI; develop and maintain production-grade software, write clean, efficient, and secure code, while actively participating in code reviews and debugging.

You will also: continuously improve engineering practices by enhancing development workflows, adopting new technologies, and promoting software and data engineering best practices; and engage in problem-solving sessions with client and internal teams to translate complex business needs into actionable technical solutions.

You will be based out of our India (Bengaluru) offices as part of the Financial Services data center of excellence, within the Banking practice. Financial Innovation Labs (FinLab) is a specialized team within McKinsey that focuses on driving innovation and transformation in the financial services sector amongst other industries. You will be part of a group that operates globally, delivering cutting-edge data and analytic solutions to support clients navigating complex challenges and unlocking new opportunities. The data center of excellence is a highly visible team and a high-profile position, working regularly with senior leaders and clients.

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.
• Bachelor’s or master’s degree in Computer Science, Engineering, or a related field or equivalent experience
• 3+ years of full-stack or software development experience in a production environment
• Strong knowledge of server-side languages (e.g., Python, Java, Ruby, Node.js or .NET) and frameworks (e.g., Flask, SQLAlchemy, Pandas, Spark), with a strong foundation in data structures, algorithms, and object-oriented design
• Familiarity with RESTful APIs, JSON-based data exchange, web sockets, streaming protocols, and microservices architecture
• Experience with relational databases (e.g., PostgreSQL, MySQL) and/or NoSQL (e.g., MongoDB)
• Hands-on experience developing Generative AI applications, including LLM engineering, prompt engineering, RAG, and autonomous or collaborative agentic systems
• Proficient in Git and version control best practices, code reviews, and agile methodologies such as Scrum
• Exposure to CI/CD pipelines, DevOps practices, and Docker containers
• Experience designing scalable software architectures and writing testable, secure, high-performance, and responsive code
• Cloud platform experience, with a focus on Microsoft Azure and AWS (Snowflake or GCP experience is a plus)
• Working knowledge of data platforms and pipelines, including data warehousing/lakes (e.g., Snowflake, Databricks), ETL/ELT orchestration (e.g., Airflow), and data modelling for structured and unstructured data
• Highly inquisitive and creative problem-solver who helps colleagues and clients draw new insights and impact from data; excited about working in a cross-cultural environment
• Entrepreneurial mindset and self-starter, ready to step into a fast-paced, dynamic environment and build a strong network across the practice
• Professional attitude, team player, and service-oriented mentality
• Strong communication skills, with the ability to convey analytical and technical concepts to both technical and non-technical audiences and work effectively in cross-functional teams