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Senior Software Engineer - Capital Analytics Job Opening In Prague – Now Hiring McKinsey & Company


Job description

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.

    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.
You will be part of Capital Analytics, the digital products arm of the Capital Excellence service line of McKinsey’s Operations practice.
Capital Excellence assists our clients in solving complex challenges throughout the capital project life cycle.

Blending strategic thinking with hands-on practicality, our teams of consultants and experts work to develop and implement project, portfolio, organization, and process best practices that solve our clients' most critical problems.
Capital Analytics supports Capital Excellence with analytics and data-driven insights delivered to our consultants in client engagements or directly to clients to sustain their transformation.

We source data, build data and advanced analytics platforms, as well as we develop our own products, or we establish strategic alliances to leverage existing products with the goal of decarbonizing and renewing critical infrastructure globally.
McKinsey fosters innovation driven by analytics, design thinking, mobile and social media by developing new products/ services and integrating them into our client work.

It is helping to shift our model toward digital asset-based consulting and is a foundation for our entrepreneurial culture.
Through innovative software-as-a-service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.
As aSenior Software Engineer (Fullstack), you will play a key role in the redesign and modernization of our core internal product, the Capital Analytics (CA) Toolkit—a central platform used across the firm for advanced data search, reporting, and analytical tools.
In this role, you will:lead the development of scalable backend services to power the next-gen search and AI capabilities of the CA Toolkit; collaborate closely with a dedicated frontend engineer and a data platform team to deliver high-performance, maintainable, and secure application features; own and drive the application development workstream—from planning and architecture to delivery and support; design APIs and integration points for both internal and external systems; build with a cloud-first mindset—primarily in Microsoft Azure, but with select components running in AWS; & contribute to technical decisions and mentor other engineers on best practices in cloud-native architecture, fullstack development, and AI integration.
In the next 6 months, your focus will be to: build and deploy services that support a revamped search experience, powered by both structured data and LLM-based intelligence; ensure seamless integration of Azure-hosted components (Functions, Web Apps, Data Lake) with external AI models (OpenAI, Bedrock); and influence long-term architecture decisions in a product with high visibility and impact.
  • 7+ years of professional software engineering experience in a product-driven environment
  • Strong backend experience with Node.js, especially Sails.js
  • Proficient in TypeScript and JavaScript and solid frontend experience with React
  • Experience building and consuming RESTful and GraphQL APIs and strong understanding of database design and hands-on experience with SQL
  • Proficiency in Microsoft Azure services (e.g. Web Apps, Functions, Containers, Data Lake)
  • Experience with Docker and containerized development workflows as well as familiarity with OIDC-based authentication flows
  • Solid understanding and practice of unit and integration testing
  • Proven track record leading software development workstreams or major features
  • Excellent problem-solving, communication, and collaboration skills
  • Experience integrating AI/ML services such as Azure Cognitive Services, OpenAI APIs, or AWS Bedrock and with search infrastructure or LLM-powered search
  • Exposure to cross-cloud environments (Azure & AWS) and familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Bicep), and DevSecOps
  • Fluent in English (verbal and written)

Required Skill Profession

Computer Occupations


  • Job Details

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What Are the Key Qualifications for Senior Software Engineer Capital Analytics?

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Interview Tips for Senior Software Engineer Capital Analytics Job Success

McKinsey & Company interview tips for Senior Software Engineer   Capital Analytics

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Research: Learn about the McKinsey & Company's mission, values, products, and the specific job requirements and get further information about

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To prepare for your Senior Software Engineer Capital Analytics interview at McKinsey & Company, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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