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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