Software Engineer - Product Engineering & Maintenance (all genders)
Roland Berger1 day ago
Lisbon, PortugalMid Level
Responsibilities
- Turn validated AI and GenAI prototypes into secure, reliable, production-ready software applications.
- Develop, test, and maintain backend services, REST APIs, and application components.
- Deploy and operate applications in Microsoft Azure using existing cloud infrastructure and DevOps standards.
- Implement automated testing, code quality, security, documentation, and other software engineering best practices.
- Monitor deployed applications, troubleshoot issues, fix bugs, and manage software updates and releases.
- Ensure application reliability, performance, and maintainability throughout the product lifecycle.
- Collaborate with AI engineers, product teams, and DevOps specialists to bring AI solutions into production.
Requirements
- Degree in Computer Science, Engineering, or a related field, or equivalent experience.
- At least 3 years of professional experience in software development, ideally including production application maintenance.
- Strong Python programming skills and experience developing backend services and REST APIs.
- Experience with Microsoft Azure or another major cloud platform such as AWS or GCP.
- Familiarity with Git, Docker, CI/CD pipelines, and modern software development practices.
- Understanding of application security, authentication, automated testing, and monitoring.
- Experience with databases, cloud services, and application integrations.
- Familiarity with AI/ML, LLM applications, or GenAI solutions is preferred.
- Practical problem-solving skills, independent working ability, collaboration skills, and excellent English communication skills.
About Roland Berger
Roland Berger is a global strategy and management consultancy that advises corporate and public‑sector clients on transformation, performance improvement, and growth. The partnership, founded in 1967 and headquartered in Munich, sells fee-based consulting services across strategy, operations, restructuring, corporate finance, and data/AI topics. It operates worldwide and includes specialist units such as Polarixpartner for manufacturing cost and engineering challenges.