Senior Software Engineer - QuantumBlack, AI by McKinsey

McKinsey & Company
Berlin, Germany
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 180K

Job location

Atlanta, United States of America

Tech stack

Java
JavaScript
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
C Sharp (Programming Language)
Data Structures
Software Design Patterns
Distributed Systems
Spring
Node.js
NoSQL
OAuth
OpenID
Performance Tuning
Next.js
Software Safety
Secure Coding
SQL Databases
TypeScript
CircleCI
React
Large Language Models
Caching
Backend
Rate Limiting
Vue.js
Angular
GraphQL
Front End Software Development
Api Gateway
Software Coding
Docker
Jenkins
Microservices

Requirements

  • 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

Benefits & conditions

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. Industries

  • High Tech

Capabilities

  • Technology, Certain US and Canadian jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in Canada and/or the United States, including all office locations where the job may be performed, is $175,500 - $180,000 in USD and $195,700 - $200,000 in CAD gross per year. This reflects our best estimate of the lowest to highest salary 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.

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