Job description
Expert Manager, Software Engineering
Company Overview
We are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.
Job Summary
You’ll join our Engineering experts within the AI, Insights & Solutions team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. As an Expert Manager, Software Engineering, you will lead the development and building of software applications that address complex business and technology problems in various industries.
Key Responsibilities
- Shape & scope client solutions. Work with Bain consulting teams and product owners to translate business problems into prioritized backlogs and technical roadmaps for cross-functional engineering squads
- Translate technical capabilities into client-ready product and transformation outcomes by shaping product direction, operating model implications, and change management approaches that support adoption and measurable business impact
- Own full-stack design & build. Lead the architecture, development and documentation of AI applications, including coding and integrating third-party services or frameworks that accelerate delivery and long-term maintainability
- Establish AI-native software engineering best practices. Define and enforce standards around component libraries/design systems, automated testing, linting, CI/CD, accessibility and performance optimization
- Develop reusable libraries & accelerators. Create and curate shared code assets that reduce time-to-value across multiple client projects and internal initiatives.
- Lead the full delivery lifecycle. Set quality gates, supervise code reviews, ensure robust unit/integration test coverage, manage release planning, and oversee post-deployment monitoring and incident resolution
- Partner on UI/UX excellence. Collaborate with designers to ship inclusive, responsive interfaces
- Mentor & grow engineers. Provide day-to-day technical coaching for senior and mid-level engineers through pair programming, architecture sessions and constructive feedback
- Upskill client engineering teams. Coach client developers on modern tooling and DevOps/cloud-native practices, ensuring sustainable ownership after Bain’s engagement
- Advance AI-native technology adoption. Champion containerization, infrastructure-as-code, automated observability and secure-by-design principles to improve scalability, reliability and security
- Contribute to communities of practice. Share lessons learned and emerging technology trends through internal forums, brown-bag sessions and knowledge assets
- Support talent acquisition & onboarding. Participate in interviewing, technical assessments and mentoring of new hires to build a high-caliber engineering cohort
Requirements / Qualifications
- Degree in Computer Science, Engineering, or a related technical field
- 6+ years of end-to-end experience designing, building and maintaining production-grade full-stack applications
- Experience working directly with business stakeholders to translate strategic objectives into solution, platform products or roadmaps
- 4+ years building server-side services using FastAPI, Node.js/Express, Flask, Django, .NET Core or Java Spring Boot or similar technologies, including the design of APIs
- 3+ years of architecting and operating micro-service ecosystems, emphasizing service discovery, observability, CI/CD automation and blue-/green or canary deployments
- Expert knowledge of Python, JavaScript and/or other programming languages
- Experience with cloud-native delivery on AWS, Azure or GCP, knowledge of managed services, serverless patterns and infrastructure-as-code such as Terraform, CloudFormation or Bicep
- Proficient with containerization and orchestration, Docker, Kubernetes and related tooling (Helm, Argo CD)
- Experience with database architecture across relational (PostgreSQL, MySQL, SQL Server) and NoSQL/document stores (MongoDB, DynamoDB, Redis), with solid SQL skills
- Solid computer science fundamentals, data structures, algorithms, object-oriented and functional paradigms, automated testing, performance profiling
- Excellence in software architecture design, including modular, distributed, and cloud-native systems, scalability, resiliency, maintainability, and observability
- Experience with data security, OAuth 2.0/OIDC, JWT, SSO/cloud IAM, encryption in transit, at rest, and awareness of data protection regulations.
- Proven leader and mentor with ability to lead engineering squads, set coding standards, perform rigorous code reviews and up skill junior engineers.
- Agile delivery mindset, practical experience with Scrum or Kanban, story-point estimation, backlog grooming and the use of Git-based workflows, Jira and automated CI/CD pipelines.
- Professional fluency in English and German
Preferred Qualifications
- Experience with modern AI/ML development, working with LLM APIs, prompt engineering, RAG pipelines, agentic SDKs and AI safety
- Hands-on experience with modern web technologies such as React, Angular, Vue.js, TypeScript, HTML5 and CSS3
Location
Berlin, Munich, Germany
Employment Type
Permanent Full-Time
