K

Kearney

Global management consulting on strategy, transformation

Senior Full Stack Developer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Four to seven years of professional software development experience, with strong front-end skills and working capability across the back end; candidates with approximately three years may be considered.
  • Ability to obtain, or current possession of, a U.S. Secret security clearance.
  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, Information Systems, or a related field, or equivalent demonstrated experience such as a bootcamp, military technical training, or professional portfolio.
  • Ability to build user interfaces and own interface quality and interaction logic without being responsible for UX design or design workshops.
  • Familiarity with data engineering sufficient to coordinate with the data architecture team, without owning pipeline work.
  • Strong engineering fundamentals and versatility across the stack.
  • Business judgment and ability to engage client stakeholders on interface and workflow requirements.
  • Comfort working in fast-paced, iterative delivery with cross-functional and client-facing teams.
  • Strong written, verbal, and presentation communication skills.
  • Practical fluency using modern AI and generative AI tools in a development workflow.
  • Experience with React and JavaScript/TypeScript for front-end development.
  • Experience with Python and a modern API framework such as FastAPI.
  • Knowledge of REST API design and integration.
  • Knowledge of SQL and relational data modeling fundamentals.
  • Experience with Git-based version control, continuous integration and continuous delivery, and automated testing.
  • AWS fundamentals or equivalent experience with another major cloud platform, such as Azure or Google Cloud.
  • Familiarity with DoD Security Technical Implementation Guides or similar secure-coding standards.

Responsibilities

  • Design and build front-end features in React and TypeScript, including dashboards, interfaces, and application logic, with ownership of UI quality.
  • Build and maintain Python-based back-end services and APIs as needed.
  • Apply secure coding practices, including familiarity with DoD Security Technical Implementation Guides or similar secure-coding standards.
  • Coordinate with the data architecture team on pipeline and schema questions without owning pipeline work.
  • Use Git branching and pull requests, peer code review, continuous integration and continuous delivery pipelines, and automated testing.
  • Deploy and troubleshoot in secure cloud environments.
  • Partner with the data scientist, architect when present, and product owner to translate requirements into working features.
  • Engage directly with client stakeholders on interface and workflow requirements.
  • Participate in agile delivery, including sprint planning, backlog refinement, estimation, testing, and release.
  • Use modern AI and generative AI tools in the development workflow, including coding assistants and accelerated prototyping.

Desired Qualifications

  • Exposure to aerospace and defense, large-scale or heavy construction, manufacturing, or supply chain environments.
  • Familiarity with DoD security practices, such as Security Technical Implementation Guides, or similar secure-coding standards.
  • Experience with Docker or containerization.
  • Experience with data visualization or business intelligence tools, such as Power BI, beyond basic charting.
  • Experience deploying to cloud environments with elevated security or compliance requirements.
  • Prior consulting or client-facing delivery experience.

About the Company

Kearney

Global management consulting on strategy, transformation

Kearney provides management consulting services to corporations, governments, and nonprofit organisations. It helps clients with strategy, operations, procurement, mergers and acquisitions, organisational transformation, sustainability, and digital analytics. By analyzing data and applying methods like AI and machine learning, Kearney supports data-driven decision-making and develops digital operating models. The firm assists with supply chain optimisation, cost reduction, growth strategies, and large-scale transformation programmes across industries such as consumer, retail, energy, healthcare, financial services, industrials, technology, media, and transportation, as well as the public sector. In sustainability and ESG work, Kearney helps organisations adapt to regulations and pursue sustainable practices. Since its founding in Chicago in 1926 as part of McKinsey’s early history, it evolved from A.T. Kearney to Kearney in 2020 through a management-led evolution.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$569M
Headquarters
Chicago, IL
Founded
1926

Recently Posted Jobs

Explore more opportunities at Kearney

See more jobs