Software Engineering Instructor at Factored

Modena, Emilia-Romagna, Italy -

Full Time

Start Date

Immediate

Expiry Date

22 Jun, 26

Salary

0.0

Posted On

24 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

System Design, Coding Best Practices, Software Architecture, Testing Strategies, AI Engineering, LLMs, GenAI Tooling, LLMOps, Python, JavaScript/TypeScript, Java, Go, Cloud Infrastructure, Microservices, Event-Driven Architecture, Domain-Driven Design

Industry

Data Infrastructure and Analytics

Description

Fully remote | Complete engagement job Founded in Palo Alto by Dr. Andrew Ng and Israel Niezen, Factored helps U.S. companies build and scale world-class AI, ML, and Data teams, powered by the top 1% of LATAM talent, with a defining purpose: To empower brilliant humans, unleash their potential, and amplify their impact in the world. At Factored, you’ll be part of a community that values learning, ownership, and authenticity, where your growth is personal and your ideas matter. We’re transparent, curious, and collaborative. We strive for excellence, celebrate diversity, encourage curiosity, and build an environment where you can truly thrive. We are seeking a Software Engineer Instructor to own and evolve our internal technical training program for MLE and SWE engineers. This person will design and deliver curriculum spanning software engineering fundamentals (system design, coding best practices, testing, architecture) and AI engineering (LLMs, GenAI tooling, LLMOps). The role combines live instruction, asynchronous content development, and hands-on coaching to accelerate engineer growth and placement readiness. You will operate with an owner mentality, proactively identifying skill gaps, designing interventions, measuring outcomes, and iterating on the program. You will also collaborate closely with the vetting and recruiting teams to ensure our training aligns with client expectations and hiring bar requirements. Functional Responsibilities: Design, build, and maintain the end-to-end technical training curriculum for SWE engineers, covering system design, coding best practices, software architecture, testing strategies, and AI engineering topics. Deliver live workshops and sessions, and interactive coding labs to groups of engineers at varying seniority levels. Develop high-quality asynchronous learning content: recorded lectures, written guides, hands-on exercises, project-based assessments, and reference materials. Provide 1-on-1 and small-group coaching to engineers, helping them close specific skill gaps and accelerate professional growth. Track and report on engineer skill progression metrics, using data to identify trends, measure training effectiveness, and prioritize curriculum improvements. Continuously update training materials to reflect evolving industry standards, new frameworks, emerging AI tools, and client demand patterns. Collaborate with Engineering Leads and Expertise Group leads (GenAI, Ops) to align training content with real-world project needs. Contribute to onboarding programs to ensure new Factored engineers ramp up quickly on standards, tools, and expectations. Qualifications: 5+ years of professional software engineering experience, with hands-on work in system design, backend/full-stack development, and software architecture. Demonstrated experience teaching, mentoring, or leading technical training for software engineers (formal or informal). Experience in deploying and managing Cloud Infrastructure (AWS / GCP / Azure) – AWS Preferred Strong proficiency in at least two of: Python, JavaScript/TypeScript, Java, or Go. Solid understanding of software architecture patterns: microservices, event-driven, layered architecture, and domain-driven design. Practical knowledge of testing strategies: unit testing, integration testing, TDD/BDD, and test automation frameworks. Excellent written and verbal communication skills in English; able to explain complex technical topics clearly to diverse audiences. Experience designing structured curriculums, learning paths, or technical programs. Proactive and self-directed: Identifies skill gaps, designs interventions, and drives outcomes without waiting for direction. Comfortable working with data to measure training impact and iterate on content (completion rates, assessment scores, placement outcomes). Ability to adapt teaching style across seniority levels—from junior engineers to senior developers, refreshing skills. Strong documentation habits: create reusable, well-organized training assets. Collaborative mindset: works effectively across teams (recruiting, engineering leads, expertise groups, people team). Comfort navigating ambiguity and managing competing priorities in a fast-paced environment. Nice to Have: Strong plus: Proven expertise in integrating Generative AI frameworks and APIs (LangChain, LangGraph, OpenAI, Claude) into production-grade applications. Strong plus: Working knowledge of AI engineering concepts: LLM APIs, RAG patterns, Prompt engineering, Agentic Workflows. Experience with MLOps tools and pipelines (MLflow, Kubeflow, SageMaker, or similar). Experience creating technical video content or running live-streamed technical sessions. Prior experience in nearshore, distributed, or remote-first engineering teams. Contributions to open-source projects, tech blogs, or conference talks. #Li-Remote Our Benefits: Ownership through equity participation. Annual company retreat. Education bonus for continuous learning. Company-wide winter break. Paid time off. Optional in-person events and meetups. Tailored career roadmaps. High-performance culture. At Factored, we believe that passionate, smart people expect honesty and transparency, as well as the freedom to do the best work of their lives while learning and growing as much as possible. Great people enjoy working with other passionate, smart people, so we believe in hiring right, and are very selective about who joins our team. Once we hire you, we will invest in you and support your career and professional growth in many meaningful ways. We hire people who are supremely intelligent and talented, but we recognize that intelligence is not enough. Perhaps more importantly, we look for those who are also passionate about our mission and are honest, diligent, collaborative, kind to others, and fun to be around. Life is too short to work with people who don’t inspire you. We are a transparent workplace, where EVERYBODY has a voice in building OUR company, and where learning and growth are available to everyone based on their merits, not just on stamps on their resume. As impressive as some of the stamps on our resumes are, we recognize that human talent and passion exist everywhere, and come from many backgrounds, so stamps matter much less than results. All of us are dedicated doers and are highly energetic, focusing vehemently on execution because we know that the best learning happens by doing. We recognize that we are creating OUR COMPANY TOGETHER, which is not only a high-performing fast-growing business but is changing the way the world perceives the quality of technical talent in Latin America. We are fueled by the great positive impact we are making in the places where we do business and are committed to accelerating careers and investing in hundreds (and hopefully thousands) of highly talented data science engineers and data analysts. In short, our business is about people, so we hire the best people and invest as much as possible in making them fall in love with their work, their learning, and their mission. When not nerding out on data science, we love to make music together, play sports, play games, dance salsa, cook delicious food, brew the best coffee, throw the best parties, and generally have a great time with each other.

Responsibilities

This role involves owning and evolving the internal technical training program for MLE and SWE engineers by designing and delivering curriculum covering software engineering fundamentals and AI engineering topics. Responsibilities include live instruction, asynchronous content development, hands-on coaching, and proactively identifying skill gaps to accelerate engineer growth.