Software Engineer II - QuantumBlack Labs

QUALIFICATIONS Degree in computer science or related field, or equivalent practical experience2-5+ years of relevant experience

Experience building production-grade applications in at least one part of the stack (backend, frontend, infra), with willingness to learn others as needed.

Ability to deliver features independently, participate in design discussions, and collaborate with senior engineers on system architecture.

Experience pair programming collaboratively with other developers

Exposure to or interest in working with modern AI systems (LLMs, agent frameworks, cloud deployment). ML experience is a plus but not required.

Nice to have:

Experience with cloud deployment (Azure/AWS/GCP), containerization (Docker), frontend frameworks (React), CI/CD environments, and interest in agentic systems, LLMs, or workflow automation

Demonstrated experience working collaboratively with other developers, as well as technical and non-technical people within software team While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, Type Script/JavaScript, React, Node, Flask, SQL, cloud infra, CI/CD).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.

WHO YOU'LL WORK WITH Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way  return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible.

Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning:
Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.

A voice that matters:
From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.

Global community:
With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.

World-class benefits:
On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

WHAT YOU'LL DOYou will be part of Quantum Black Labs  and work in a team of software engineers, product managers, data scientists, data engineers and designers to create innovative products and new technologies that accelerate and scale our work in artificial intelligence and machine learning.

We hire engineers into multiple product teams (e.g. agentic AI systems, digital twins, advanced analytics platforms). Team placement will depend on your skills and interests.

Our teams in Quantum Black Labs are responsible for designing products that explain complex data landscapes and insights to our users, building frameworks and libraries that enable Data Scientists, Data Engineers, and Machine Learning…