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Expert Manager, Software Engineering

in 80331, München, Bayern, Deutschland
Unternehmen: Bain & Company
Vollzeit position
Verfasst am 2026-07-10
Berufliche Spezialisierung:
  • Software Entwicklung
    DevOps Ingenieur, Software-Architekt, Full Stack Entwickler, Software-Ingenieur
Gehalts-/Lohnspanne oder Branchenbenchmark: 120000 - 160000 EUR pro Jahr EUR 120000.00 160000.00 YEAR
Stellenbeschreibung

Please submit your application in English

WHAT MAKES US A GREAT PLACE TO WORK

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.

WHO YOU’LL WORK WITH

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. You’ll work on integrated teams alongside our general consultants and clients to develop data‑driven strategies and innovative solutions.

Together, we create human‑centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results.

WHAT YOU’LL DO

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. You will guide a diverse engineering team through the entire engineering life cycle. Your responsibilities will include designing, developing, optimizing, and deploying cutting‑edge software engineering solutions and infrastructure at the production scale required by the world’s largest companies, with a strong focus on ensuring technical delivery supports business strategy, operating model evolution, and sustainable value creation.

  • 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 Dev Ops/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…
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