Senior Software Engineer – Digital Banking Fintech Remote

Maxit Consulting - Max Corporate Group; Madrid; Hybrid; EUR 70,000 - 100,000; Full time

Job summary

Pearson is seeking an autonomous Senior Software Developer to design and deliver backend components for AI-powered digital products. You will work with cross-functional teams to define objectives, requirements, and timelines, and you will lead projects that emphasize scalable services and secure, reliable APIs.

Based in a hybrid setup with offices in Madrid or Poznań, you will operationalize AI models with data science teams, mentor junior engineers, and maintain documentation while championing

Qualifications

• Bachelor's or master's degree in Computer Science, Software Engineering, or a related field.
• Hands-on experience with software engineering principles, development processes, and industry trends.
• Proficiency in Python and modern cloud environments (AWS, GCP, Azure).
• Experience with Docker, Kubernetes, and CI/CD pipelines.
• Strong problem-solving, analytical skills, and attention to detail.

Responsibilities

• Design, implement, and maintain backend components for digital products.
• Architect scalable backend services and APIs with AI integration.
• Lead projects and advocate backend best practices, DevOps, and Clean Code.

Skills

Python

Agile practices

English communication

Education

Bachelor's or master's in CS/SE

Tools

Docker

Kubernetes

CI/CD

Job description

This role aligns to industry-level titles such as Senior Software Developer.
At Pearson, we're transforming the way millions of learners develop English language skills around the world. As part of our English Language Learning division, you'll join an international AI organization working on one of our most strategic digital products. You'll help design and deliver intelligent, scalable solutions that bring AI capabilities into real-world learning experiences.
This position requires an experienced and highly competent software engineer with proven expertise integrating AI and LLM‑based capabilities into real-world products.
We are looking for a highly autonomous professional who can drive work independently, navigate ambiguity, and take ownership of delivering high‑quality solutions.
Work distribution is strongly weighted toward new feature development, with minimal maintenance needs given the product's early lifecycle. Documentation and collaboration remain essential parts of the role.

What you'll do

• Partner with product owners to design, implement, and maintain backend components for digital products.
• Collaborate in cross‑functional teams to define objectives, requirements, and timelines.
• Lead projects and advocate for backend best practices, supporting strategic and innovation initiatives.
• Architect scalable backend services and APIs, including AI integration and deployment of microservices.
• Operationalize AI models with data science teams and ensure system reliability and scalability.
• Maintain technical documentation and mentor junior engineers.
• Champion continuous improvement, innovation, and knowledge sharing within the team.
• Lead and influence the software development lifecycle, adhering to best practices like DevOps, Clean Code, and DDD.
• Ensure security and compliance, working closely with relevant teams.
• Stay updated on industry trends and recommend processes or technical improvements.

What we're looking for

We're looking for a highly autonomous engineer who is comfortable navigating ambiguity, taking ownership, and delivering high‑quality solutions in a fast‑moving environment.

• Bachelor's or master's degree in computer science, Software Engineering, or a related field.
• Proven experience in software engineering principles, development processes, technologies, extreme development methodologies and practices and industry trends for Development and QA.
• Hands‑on experience with programming languages such as Python.
• Proficiency in at least one of the modern cloud environments (AWS, GCP, Azure).
• Proficiency in best practices for software engineering (code review, multi‑stage testing, CI/CD).
• Experience with scalable development (Docker, Kubernetes).
• Strong problem‑solving and analytical skills, with a keen attention to detail.
• Some experience with data processing (building pipelines, data versioning).
• Working experience in Agile practices, product and project management principles.
• Commitment to fostering an inclusive and diverse work environment.
• Excellent communication skills, with the ability to effectively collaborate and build relationships with stakeholders at all levels. Able to communicate technical concepts to non‑technical individuals.
• Experience with working in a diverse, remote, asynchronous team.
• Proficiency in written and spoken English.

Location & Work Set Up

This is a full‑time, hybrid role based in Poland or Spain, with collaboration from our Poznań or Madrid office.#LI-Hybrid

Who we are

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearsoun is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing

Job: Engineering

Job Family: TECHNOLOGY

Organization: English Language Learning

Schedule: FULL_TIME

Workplace Type: Hybrid