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Senior Software Engineer QuantumBlack, AI by McKinsey

McKinsey & Company

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At a glance

Compensation
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Location
NEW YORK, NY
Work Authorization
Not specified

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Job overview

The Senior Software Engineer role at QuantumBlack, AI by McKinsey seeks an experienced full-stack engineer to build scalable applications and secure APIs, develop cloud infrastructure and CI/CD pipelines, and architect production-grade AI systems. The role also involves applying AI-assisted engineering, maintaining security and quality, and leading collaborative engineering teams in a largely autonomous environment.

Skills & qualifications

RequiredNice to have

Skills

Full-Stack DevelopmentFrontend FrameworksBackend FrameworksJavaScriptTypeScriptReactAngularNext.jsVue.jsJavaSpringC#Node.jsSQLNoSQLCloud PlatformsAWSAzureGCPCI/CDJenkinsDockerCircleCIAPI DesignRESTGraphQLRate LimitingCachingAPI GatewaysSoftware Design PatternsMicroservicesDistributed ArchitecturesInfrastructure as CodeZero-Downtime DeploymentCloud-Native ArchitectureAI-Assisted EngineeringAI Agent OrchestrationAI SafetyAI Systems ArchitectureLLM Evaluation

Qualifications

Undergraduate or Master's Degree or Equivalent Experience5+ Years Full-Stack Development ExperienceOAuth and OIDC AuthenticationEnglish and Local Office Language

Full job description

  • Atlanta * Boston * Chicago * Denver * New Jersey * New York City * Raleigh * TorontoApply NowApply Later YOUR QUALIFICATIONS AND SKILLS * Undergraduate or master's degree; or equivalent experience * 5+ years of experience developing full-stack applications, writing code that is readable, testable, maintainable, and scalable * Deep proficiency in at least two frontend or backend frameworks, with the ability to independently evaluate and select packages, define data structures, and deliver robust, scalable solutions across the full stack; hands-on experience with languages and frameworks including JavaScript/TypeScript, React, Angular, Next.js, Vue.js, Java, Spring, C#, or Node.js; SQL and NoSQL databases; cloud platforms (AWS, Azure, or GCP); and CI/CD tooling (Jenkins, Docker, CircleCI, or similar) * Demonstrated ability to design complex, secure APIs - including REST and GraphQL - with a focus on scalability and maintainability, implementing advanced features such as rate limiting, caching, and API gateways, grounded in expert knowledge of software design patterns including microservices and distributed architectures * Proficiency across two cloud providers with the ability to build complex IaC and CI/CD pipelines from scratch, implement zero downtime deployment strategies, and apply cloud-native architecture concepts to ensure scalability, reliability, and elasticity * Advanced proficiency in AI-assisted engineering, orchestrating specialized agents across parallel workstreams, building reusable agent tooling, and exercising sound technical judgment on AI safety and application boundaries * Experience architecting AI systems and ensuring engineering quality, utilizing robust LLM evaluation frameworks, guardrails, and validation methodologies to deliver reliable, production-grade AI applications * A security-first mindset, able to advocate for standards and compliance, implement authentication flows such as OAuth and OIDC, proactively identify and mitigate security issues during development, and mentor others in secure development practices; ensures quality through comprehensive testing strategies and performance optimization * Experience leading collaborative, cross-functional engineering teams and fostering a strong engineering culture * 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 Apply NowApply Later Share This JobEqual Opportunity Employment Disclaimer McKinsey & Company is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics.

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