Expert Manager, Software Engineering

Bain & Company; København; On-site; DKK 700,000 - 900,000; Full time

Job summary

Bain & Company in Copenhagen is looking for an Expert Manager in Software Engineering to lead software development for diverse client projects. The successful candidate will guide engineering teams, establish best practices, and contribute to innovative solutions leveraging AI technologies.

You should have over 6 years of experience, strong technical skills in programming, and the ability to communicate effectively with clients. Join a collaborative environment focused on delivering exceptional client outcomes.

Qualifications

• 6+ years of experience in full-stack applications.
• 4+ years in server-side services using modern frameworks.
• Experience with cloud-native delivery on popular platforms.
• Professional fluency in English.

Responsibilities

• Lead development of software applications for clients.
• Guide engineering teams through the entire lifecycle.
• Establish best practices in AI-native software engineering.
• Mentor and grow team members through technical coaching.
• Shape and scope client solutions with Bain consulting teams.

Skills

Python

JavaScript

Full-stack application development

Micro-service architecture

Cloud platforms (AWS, Azure, GCP)

Containerization (Docker, Kubernetes)

API design

Agile methodologies

Education

Degree in Computer Science or related field

Tools

FastAPI

Node.js/Express

Flask

Django

Terraform

Docker

Kubernetes

Job description

General Information

Job Title: Expert Manager, Software Engineering
Job ID: 106582
Work Areas: Technology & Engineering
Employment Type: Permanent Full-Time
Location(s): Copenhagen

Application Requirements

Please submit your application in English
Application Deadline: July 24

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 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.
• Travel is required. This position requires regional travel away from your home office/primary working location. Travel frequency and destinations will vary based on project needs.

ABOUT YOU

Technical Skills & Knowledge

• 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.
• Ideally, experience with modern AI/ML development, working with LLM APIs, prompt engineering, RAG pipelines, agentic SDKs and AI safety.
• Ideally, hands‑on experience with modern web technologies such as React, Angular, Vue.js, TypeScript, HTML5 and CSS3.
• Proven leader and mentor with ability to lead engineering squads, set coding standards, perform rigorous code reviews and upskill 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.

Interpersonal Skills

• Strong interpersonal and communication skills, including the ability to explain and discuss technicalities of solutions, algorithms and techniques with colleagues and clients from other disciplines.
• Curiosity, proactivity and critical thinking.
• Ability to collaborate with people at all levels and with multi‑office/region teams.
• Ability to work independently and juggle priorities to thrive in a fast‑paced and ambiguous environment, while also collaborating as part of a team in complex situations.