Technical Trainer - Software Engineering

Bloomberg; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Bloomberg Engineering’s training team is hiring to empower nearly 9,000 software engineers with practical, hands-on learning. The role emphasizes teaching, collaboration, and building training tools that scale across teams.

Candidates will lead sessions, review code, and help design engaging curricula. A genuine passion for learning, teaching, and explaining complex systems to groups of 20–60 is essential.

Qualifications

• Must have degree in CS, engineering, maths, or equivalent work experience.
• Strong programming background in at least one core language (Python/JavaScript/C++).
• Proficiency in another language (Python/JavaScript/Java/C/Rust/Golang) is expected.

Responsibilities

• Teach a variety of classes for experienced software engineers, primarily in person with video, mentoring, and code reviews.
• Collaborate with teams to define structure, content, and delivery for high-quality training.
• Gain deep knowledge of Bloomberg technologies and stay updated on new developments across teams.
• Own the complete lifecycle of training tools from needs assessment to coding, deployment, and maintenance.
• Build strong relationships across teams to meet goals.
• Remain humble and use feedback to improve.

Skills

Python

JavaScript

C++

Communication

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent

Job description

Do you have a passion for learning new technology and sharing it with others? Are you someone who loves to quickly turn a new idea into a working example to teach others? If so, your dream job might be on Bloomberg Engineering’s training team.

Our team is dedicated to developing the technical skills of our nearly 9,000 software engineers. We partner with engineering teams across the company to provide the highest quality educational experience. We are hands-on educators who prefer working directly with people rather than just talking from a podium. We also build our own tools for measurement, reporting, and exploration. We even embed ourselves within engineering teams to make sure our training is relevant and practical. We are technical enthusiasts who love connecting complex concepts to our learners in the clearest way possible.

We offer a hands-on curriculum that focuses on discovery. We build communication and teamwork through activities like pairing, code reviews, escape room challenges, and pub quizzes. We design exciting challenges, notebooks, and discussions to make the practice of engineering engaging. Our classrooms use modern, interactive technology to signal that "valuable learning happens here." If you are eager to share your deep understanding of software design—as a culture, a practice, and a way to deliver value—you might have found your perfect role.

We’ll trust you to:

• Teach a variety of classes for experienced software engineers. We mainly teach in person, but you’ll need to be comfortable with video, mentoring, and code review methods.

• Work with others to define the structure, content, and delivery methods for high-quality training.

• Quickly gain a deep knowledge of Bloomberg’s technologies and work across teams to stay updated on new developments.

• Be responsible for the complete software development life-cycle of the training tools we build, from understanding what’s needed to coding, deployment, and maintenance.

• Build strong relationships across different teams to meet goals.

• Remain humble and always use feedback to grow and improve.

You’ll need to have:

• A Degree in Computer Science, Engineering, Mathematics, or a similar field of study or equivalent work experience

• One core programming language you know deeply: Python, JavaScript, and C++ are the most common.

• One other programming language you can use effectively: Python, JavaScript, Java, C, Rust, or Golang are typical examples.

• Broad and deep knowledge of software engineering. This includes understanding how code interacts and the relationship between time invested and how quickly you can deliver results. You’ve likely explored different design methodologies.

• Excellent communication skills, both written and verbal.

• Strong opinions on working with AI as both an engineer and a trainer. We are an AI-forward company.

• The ability to clearly and logically explain complex ideas to students.

• A passion for learning, teaching, and mastering how complex systems work.

• The ability to confidently present to groups of 20-60 people using different teaching methods.

• Relevant technical training work experience.

We’d love to see:

• Experience with distributed systems.

• Experience addressing different coding paradigms: OOP, procedural, functional

• Experience in dev-ops/systems administration and how software moves through the development process, especially in public cloud technology.

• Experience in measuring system reliability and creating resilient systems.

• A background in systems engineering.

• Familiarity with open-source technologies.

• Ability to learn new technologies and techniques quickly through instruction and self-training.

• Ability to adapt quickly and easily to a changing environment.

• Ability to lead discussions and actively influence the development of new strategies to improve course offerings.