QuantumBlack, AI by McKinsey.
Charlotte, NC

Senior Software Engineer - QuantumBlack Labs at QuantumBlack, AI by McKinsey. (Charlotte, NC)

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Who You'll Work With
For over ten years, QuantumBlack has been at the forefront of AI and Machine Learning solutions for Advanced Analytics business applications. Serving clients who are the global leaders in their respective fields, our teams of world-class data scientists, data engineers, and business experts rely on specialist software created by QuantumBlack Labs, our innovation and product engineering group.
Operating like an "internal start-up", we build software that facilitates, accelerates, and enables the development and deployment of AI/Machine Learning solutions. These tools draw on the latest insights from our client work and research & development efforts and deliver solutions as part of delightful experiences. We've already done a lot to be proud of, such as:
  • Designing products that can explain complex data landscapes and insights to our users
  • Building frameworks and libraries for data scientists and data engineers to work in large-scale, complex projects. We open-sourced some of these frameworks, such as our award-winning Kedro or CasualNex
  • Codifying the methodology by which we deliver advanced analytics projects to our clients and the tooling needed to support them
  • Creating an "internal open-source" platform to share and reuse machine learning models and other technical assets

Our engineers particularly love about QuantumBlack Labs:
  • Autonomy- Your users sit on the desk next to you, giving you unparalleled insight into key problems and the ability to design solutions iteratively, with literally rapid feedback. The fact that our developers have such good access to users makes them great candidates to feed into the product lifecycle and suggest the next big thing!
  • Variety & Ownership Mindset- You'll be part of an ecosystem of very different products, providing unique learning and development opportunities. You'll not be just an engineer but a core part of the product team driving product decisions using your engineering creativity, where you'll interact with users, work with designers and product managers, give presentations and talks. Our team frequently engages in efforts they are passionate about outside their core product team, such as our Analytics for Social Good initiative , sharing their experience during Lightning Talks, joining our Toastmasters group, and many others.
  • A Collaborative, Multi-disciplinary Environment- Our teams include machine learning engineers, creative technologists, product managers, and designers with various experience spikes who work collaboratively and are passionate about their work.

WHO YOU ARE
  • A core value at QuantumBlack is fusion and at the heart of our multi-disciplinary teams is the belief that the sum of individual parts will always be less than the impact of the entire team.
  • You are a highly collaborative individual who is capable of laying aside your own agenda, listening to and learning from colleagues, challenging thoughtfully and prioritizing impact.
  • Trust between colleagues is paramount here - you are an individual who can always be trusted to work in the best interests of all colleagues and to achieve the best outcome for QuantumBlack and our clients.
  • You are naturally enthusiastic and enjoy sharing your passion with others.
  • You search for ways to improve things, believe in iterative change, experimenting with new approaches, learning, and improving to move forward quickly.

What You'll Do
As a Senior Software Engineer in QuantumBlack Labs, you will:
  • Translate business problems into engineering solutions, looking at solutions that reach across our tech stack
  • Prototyping and exploring novel solutions to hard problems, and seeing them through to production
  • Work within multifunctional teams to solve complex problems that have far reaching impact
  • Contribute to the development and deployment of new and existing products (libraries/frameworks, webapps, tooling etc.)
  • Own and drive product decisions using your engineering creativity as a core part of the product team
  • Produce high-quality code that allows us to put solutions into production
  • Develop infrastructure that will be the concrete foundation of a new greenfield offering
  • Take part in code reviews and paired-programming sessions
  • Strive to continuously improve and apply engineering best practices and standards
  • Emerge as a leader on the team who will provide technical guidance and mentoring to junior engineers

Our tech stack:
We are currently leveraging Python, AWS, Docker, Kubernetes, Node.JS, React, JavaScript, Django, Flask, Typescript, SCSS, Kedro, Spark, Databricks, GraphQL and MySQL /Postgres across our product suite.
However, we advocate using the right tech for the right task. Technology evolves and the engineering is responsible to stay up to date with the latest technologies and ensure we make the relevant changes where needed.
What you'll benefit from:
  • Fusing Tech & Leadership - We work with the latest technologies and methodologies and offer first-class learning programs at all levels.
  • Multidisciplinary Teamwork - Our teams include data scientists, engineers, project managers, UX and visual designers who work collaboratively to enhance performance.
  • Innovative Work Culture - Creativity, insight, and passion come from being balanced. We cultivate a modern work environment through an emphasis on wellness, insightful talks, and training sessions.
  • Striving for Diversity - We recognize the benefits of working with people from all walks of life.
  • Continuous development and progression - We offer an extensive choice of training sessions, ranging from workshops to international conferences, tailored to your needs as well as a personal mentorship system. We have multiple career paths and geographic locations to evolve within the Firm.
  • Global community - you'll learn from colleagues around the world by connecting both internally and externally through our various hosted meet-ups.

Visit our Careers site to watch our video and read about our interview processes and benefits.
Qualifications
  • Degree in computer science, engineering, mathematics, another similar field, or equivalent knowledge through work experience
  • In-depth knowledge of the Software Development Life Cycle (SDLC)
  • Extensive experience with Python and in-depth knowledge of its ecosystem
  • Experience designing, implementing, and deploying systems on cloud environments (e.g., AWS / Azure, Google Cloud etc.)
  • Experience working with cloud agnostic technologies such as Docker, Kubernetes, etc.
  • Systematic problem-solving approach coupled with a strong sense of ownership and drive
  • In-depth knowledge of computer science algorithms, data structures and complexity analysis
  • Previous experience working collaboratively with other engineers in small to medium-sized product teams would be a plus
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Technology we use

  • Engineering
    • C++Languages
    • JavaLanguages
    • JavascriptLanguages
    • PythonLanguages
    • RLanguages
    • ScalaLanguages
    • SqlLanguages
    • jQueryLibraries
    • ReactLibraries
    • PandasLibraries
    • PySparkLibraries
    • DjangoFrameworks
    • HadoopFrameworks
    • JupyterFrameworks
    • Node.jsFrameworks
    • SparkFrameworks
    • TensorFlowFrameworks
    • TorchFrameworks
    • Google CloudFrameworks
    • AWS (Amazon Web Services)Frameworks
    • MS AzureFrameworks
    • HiveDatabases
    • Microsoft SQL ServerDatabases
    • MongoDBDatabases
    • SnowflakeDatabases
    • SQLiteDatabases
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What are QuantumBlack, AI by McKinsey. Perks + Benefits

Culture
Volunteer in local community
Friends outside of work
Open door policy
Team owned deliverables
Team based strategic planning
Group brainstorming sessions
Open office floor plan
Diversity
Dedicated Diversity/Inclusion Staff
Unconscious bias training
Hiring Practices that Promote Diversity
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Mental Health Benefits
Retirement & Stock Options Benefits
401(K)
Performance Bonus
Match charitable contributions
Child Care & Parental Leave Benefits
Child Care Benefits
Generous Parental Leave
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Volunteer Time
Paid Holidays
Paid Sick Days
Perks & Discounts
Commuter Benefits
Company Outings
Stocked Kitchen
Happy Hours
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
Cross functional training encouraged
Promote from within
Mentorship program
Time allotted for learning
Online course subscriptions available
Paid industry certifications

An Insider's view of QuantumBlack, AI by McKinsey.

How would you describe the company’s work-life balance?

Unique, awesome! Never had it this good. We establish team norms at the beginning of each engagement to tailor an extraordinary work/life balance, have more fulfilling and impactful workdays, and leave room for personal and family time day after day.

Ravi

Principal – Data Engineering, New York

What does your typical day look like?

The morning usually starts with check-in calls with the team. The afternoon includes problem-solving sessions with leadership to resolve roadblocks and align on next steps. Throughout the day, we have blocks of heads-down coding time to develop pipelines for data cleaning and transformation, feature engineering, etc.

Aisuluu

Senior Consultant – Data Engineering, Toronto

How does the company support your career growth?

Strong culture of encouraging people to proactively ask for and provide feedback. The company also emphasizes mentorship and apprenticeship which can provide opportunities and safe places for people to ask questions and get help if needed.

Tianfang

Data Engineering, Boston

What's the biggest problem your team is solving?

We are solving how to develop scalable machine learning tools that data scientists and engineers across our organization can use easily and quickly. We are doing this across many domains, including life sciences, GEM, banking, and more.

Sanjay

Junior Principal – Data Science, New York

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