Full-Time

Senior Software Engineer

Python Fullstack

Confirmed live in the last 24 hours

McKinsey & Company

McKinsey & Company

10,001+ employees

Global management consulting for sustainable growth

No salary listed

Senior

Noida, Uttar Pradesh, India + 1 more

More locations: Bengaluru, Karnataka, India

In Person

Category
Full-Stack Engineering
Software Engineering
Required Skills
Kubernetes
Microsoft Azure
Agile
Python
React.js
Apache Spark
Java
Postgres
Docker
Microservices
AWS
Elasticsearch
Terraform
Redis
Development Operations (DevOps)
AngularJS
Google Cloud Platform
Requirements
  • Bachelor's degree in computer science or a related field
  • 6+ years experience in software development, particularly in designing and implementing complex enterprise systems that handle large-scale data processing, and in-depth skills with at least two: Java or Python, Spark, Secure Coding, Synchronous/Asynchronous Microservices
  • Experience in frontend development with a good understanding of Angular or React JS and its core principles
  • Demonstrable experience with relational databases (e.g., PostgreSQL), NoSQL databases (e.g., Mongo, Cosmos and Elastic search), and in-memory databases (e.g., Redis)
  • Proficient in cloud infrastructure, with a strong preference for experience in Azure, GCP, and AWS environments
  • Skilled in the use of container technologies including Terraform, Docker and Kubernetes, with experience in containerizing Python or Spark applications and managing them in production environments
  • Proficient in modern engineering practices including code refactoring, application of design patterns, design-driven development, continuous integration, scalability of applications, and application security
  • Familiar with the Agile software development methodology and proficient with performance optimization and application profiler tools
  • Excellent analytical and problem-solving skills, with a proven track record of developing innovative and efficient solutions
  • Capable of working effectively under pressure and managing client expectations
Responsibilities
  • Developing and implementing core enterprise products
  • Leading software development projects in a hands-on manner
  • Writing and reviewing code and creating software designs
  • Expanding expertise into database design, core middle tier modules, performance tuning, containerized application, cloud technologies, DevOps and continuous delivery domains
  • Tinkering with new open-source libraries and using unfamiliar technologies without supervision
  • Learning frameworks and approaches
  • Guiding teams on improvement opportunities in their engineering practices
  • Providing ongoing coaching and mentoring to developers
Desired Qualifications
  • Experience in Big Data platforms such as Databricks or Snowflake is a plus

McKinsey & Company provides management consulting services to organizations in various sectors, including corporations, governments, and non-profits. They offer strategic advice to help clients tackle complex business challenges and achieve sustainable and inclusive growth. Their services cover areas such as strategy, operations, technology, and organizational transformation. McKinsey generates revenue by charging fees for their consulting services, which vary based on project complexity. They collaborate with technology firms like Google Cloud to integrate advanced solutions, including generative AI, into their offerings. A notable initiative is QuantumBlack, which uses AI to drive innovation and create new opportunities for clients. McKinsey also developed the Value Finder tool with SAP to help clients discover new value sources. Their goal is to promote responsible practices and continuous improvement while helping clients navigate the evolving business landscape.

Company Size

10,001+

Company Stage

N/A

Total Funding

N/A

Headquarters

New York City, New York

Founded

1926

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Simplify's Take

What believers are saying

  • Generative AI collaboration with Merck reduces clinical report timeframes significantly.
  • AI-driven robotics in manufacturing boosts productivity by 23.7% over three years.
  • Operational Risk Data Library aids organizations in effective risk management.

What critics are saying

  • Boutique consulting firms specializing in niches may erode McKinsey's market share.
  • In-house consulting teams in corporations could reduce demand for McKinsey's services.
  • Reputational risks from legal cases involving former consultants may impact client trust.

What makes McKinsey & Company unique

  • McKinsey partners with tech giants like Google Cloud for innovative solutions.
  • QuantumBlack, AI by McKinsey, leverages AI to drive client innovation.
  • Value Finder tool, developed with SAP, helps clients unlock new value sources.

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