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
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
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
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 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 Italian
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
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