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Full-Stack Engineer - Platform

McKinsey & Company
parental leave, paid time off
United States, New York, New York
Mar 03, 2026
Technology & Digital
Full-Stack Engineer - Platform
Job ID: 106486

Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.
Your Impact
You will work with our firm's top technical minds on the EcliptOS Platform which will enable next-generation client services.
You will help build a world-leading AI platform that can be broadly deployed across different sectors and functions. Focusing on the right mix of AI capabilities and human judgement by bundling existing and new AI agents to create real-world impact. You will be at the forefront of developing this exciting technology for our firm.
You will work with a cross-functional team that includes senior firm leaders, CST leaders, practice leaders and cutting-edge engineers. The team is led by some of our firm's most senior leaders and is scaling to ~130 technologists such as full-stack engineers, data engineers, data scientists, and designers.
As an EcliptOS Platform Software Engineer with expertise in Python, agents, API development, LLM experience and familiarity with SQL databases and cloud technology, your skills will be vital to this process.
You will work in a product team with engineers, designers and product managers doing application development with the purpose of delivering impactful AI solutions leveraging the best of the data within the firm.
As a Software Engineer on the Platform team, you will be at the forefront of our firm's Generative AI initiatives. Your role will involve writing, testing, debugging, and maintaining application code using Python, React and NextJS. You will leverage industry leading LLMs to drive data retrieval and synthesis.
Your expertise will be crucial in identifying and resolving technical issues and challenges. This involves keeping up to date with the fast-moving technology of generative AI and leveraging the best of the industry to keep the Platform at the leading edge of generative AI products. You will be pivotal in driving innovation within our firm, delivering impactful AI solutions, and collaborating with a distributed team across the world.
This role will specifically focus on customization and additional features required to deploy this platform for Defense and other Government clients.
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 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.
Your qualifications and skills
  • 3+ years of experience as a Software Engineer; Previous enterprise platform experience preferred
  • Defense experience and experience working with data various classification levels required
  • Strong programming skills in Python
  • Expertise in React and NextJS
  • Expertise with SQL databases, particularly PostgreSQL or cloud equivalent such as Amazon RDS
  • Expertise with AI agents / agentic applications, including experience utilizing LLMs and prompt engineering
  • Experience with CI/CD pipeline setup and management
  • Experience with knowledge graphs, data ingest, and structured data extraction
  • Experience with confidence scoring and validation pipelines
  • Familiarity in using cloud platforms for deploying and managing applications, familiarity with GitHub for version control and code collaboration and knowledge of containerization
  • US Citizenship required
  • SECRET Security Clearance Required; TS+ clearance preferred
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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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $195,300 - $199,200 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details
regarding our global EEO policy and diversity initiatives, please visit our
McKinsey Careers and
Diversity & Inclusion sites.

Job Skill Group - N/A

Job Skill Code - SCYB - Senior Software Engineer II

Function - Technology

Industry - Aerospace & Defense

Post to LinkedIn - Yes

Posted to LinkedIn Date - Mon Mar 02 00:00:00 GMT 2026

LinkedIn Posting City - Washington DC

LinkedIn Posting State/Province - District of Columbia

LinkedIn Posting Country - United States

LinkedIn Job Title - Full-Stack Engineer - Platform

LinkedIn Function - Consulting;Information Technology

LinkedIn Industry - Defense & Space

LinkedIn Seniority Level - Mid-Senior level
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