Job ID: 88883
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Who You'll Work With
At McKinsey & Company, our most valuable resource is our people. As such, we've built a world class People Analytics and Measurement team to optimize people management and facilitate data-driven decision making. The goal of our group is to use data analytics to help improve employee satisfaction, team structure, recruiting decisions, and many other high impact use cases.
The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. You'll get in-depth exposure to new methodologies through hands-on client projects, e-learning, live boot camps and global analytics conferences.
What You'll Do
You will be responsible for designing and for a build-out of a scalable modern web application in the people technology space. You will produce high quality code across the entire technology stack, from database to UI and support the value stream from idea to deployment.
You will also write clean, secure code that is performant and well tested. You will apply mature engineering principles and build modular services on the cloud.
You will have an eye for aesthetics and detail and ability to translate designs into responsive and interactive sites. You would also be required to handle the CI-CD aspects of the product and design services/infra for cloud native, containerized deployments. Additionally, you will assist with troubleshooting issues and improving application stability and performance in a proactive way and tackling tech-debt and defects.
You will demonstrate expertise in Agile way of working aligned with DevSecOps practices and act as a catalyst in building high-performing and self-organizing cross-functional teams. You will also contribute to the development and growth of engineers in the community.
Qualifications
- Bachelor's or master's degree in computer science or equivalent
- 5+ years of hands-on experience in building enterprise-grade web applications using modern technologies, with an in-depth understanding of the JavaScript ecosystem for web development
- Strong experience working with JavaScript using Node.js and understanding of React, Next.js, Nest.js, TypeScript, ORM (TypeORM/Prisma/Sequelize)
- Familiarity with design patterns and clean coding standards using JavaScript
- Knowledge of database systems like PostgreSQL or MySQL
- Experience building cloud-native solutions on AWS services including EKS, ELB, API Gateway, Lambda
- Strong ability to write unit/integration tests using frameworks like Jest, Mocha, Chai
- Proven problem-solving and debugging skills
- Ability to design modular, scalable systems and drive the buildout component independently
- Other technical skills needed could include Python, Docker, Kubernetes/EKS, Argo CD, GitHub Actions, IaC: Terraform, Cloud Formation, Helm, Splunk, Dynatrace
- Nice to haves would include experience with relational databases such as Express
Capabilities
- Technology
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action 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 or hourly range 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 $136,800 - $174,700 —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, 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, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement 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 sites.
FOR BRAZILIAN APPLICANTS: Applicants for job positions in any office in Brazil have flexibility regarding qualifications and McKinsey & Company will not require previous experience of more than 6 months. If the job description indicates preferred prior work experience of more than 6 months, applicants for such job position in the Brazilian offices must interpret the preferred qualification described as limited up to 6 months maximum.
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Job Skill Group - N/A
Job Skill Code - ADTE - Senior Software Engineer I
Function - Technology
Industry -
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Jun 02 00:00:00 GMT 2025
LinkedIn Posting City - Austin
LinkedIn Posting State/Province - Texas
LinkedIn Posting Country - United States
LinkedIn Job Title - Senior Software Engineer
LinkedIn Function - Information Technology
LinkedIn Industry - Computer Software;Information Technology and Services;Management Consulting
LinkedIn Seniority Level - Associate
The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology. You'll get in-depth exposure to new methodologies through hands-on client projects, e-learning, live boot camps and global analytics conferences.
