Descrizione dell'offerta
We are seeking a Senior Software Development Engineer, Team Leader to join our digital transformation team in Genoa, Italy. In this role you will lead technical efforts across diverse projects for multiple Mitsubishi Electric businesses, driving architectural decisions, setting technical direction, and delivering production systems end‑to‑end.
Key Responsibilities
Lead the design, development, and delivery of full‑stack applications, owning technical direction from architecture through production deployment.
Drive technical decisions and trade‑offs, communicating rationale clearly to engineering peers and non‑technical stakeholders.
Leverage generative AI tools (coding assistants, LLM APIs, AI‑augmented workflows) to accelerate development, improve code quality, and build AI‑powered features into products.
Architect and implement cloud‑native systems using containerized deployments, infrastructure as code, and modern CI/CD practices.
Identify and resolve technical risks and bottlenecks proactively — don’t wait to be asked.
Collaborate across business units, translating ambiguous business needs into well‑scoped technical solutions.
Elevate the team through code reviews, technical mentorship, and establishing engineering best practices.
Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains.
Troubleshoot and resolve complex issues spanning the full stack, from frontend UI to backend services and cloud infrastructure.
Qualifications
Bachelor’s degree in computer science, software engineering, or related field preferred (or equivalent practical experience).
8+ years of professional software development experience (10+ years preferred).
Demonstrated experience leading technical efforts — designing systems, making architectural calls, and driving projects to completion without close oversight.
Production experience using generative AI to deliver real work products — not just experimenting, but shipping AI‑assisted code, AI‑powered features, or AI‑augmented workflows that are running in production today.
Track record of increasing scope and ownership over your career.
Technical Skills
Deep understanding of web application and distributed systems fundamentals (HTTP, REST APIs, authentication, state management, security).
Strong experience with modern frontend frameworks (React, Vue, Angular, or equivalent).
Strong experience with backend frameworks and API development (e.g., Node.js/Express, FastAPI/Django/Flask, ASP.NET, Spring Boot, or similar).
Experience with relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB, MongoDB) including data modeling, query optimization, and understanding trade‑offs between storage technologies.
Hands‑on experience with generative AI tools and APIs (e.g., LLM‑assisted coding, prompt engineering, integrating AI services into applications).
Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar).
Experience designing systems for reliability, scalability, and observability.
Strong debugging and problem‑solving skills across the full stack.
A genuine drive to continuously sharpen your craft and adopt better tools and approaches.
Location & Travel
Hybrid role based in Genoa, Italy.
Benefits
PTO
Ex‑Festivita
Employee Welfare program
Other company benefits prescribed by Italian Law
MEIDS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
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Key Responsibilities
Lead the design, development, and delivery of full‑stack applications, owning technical direction from architecture through production deployment.
Drive technical decisions and trade‑offs, communicating rationale clearly to engineering peers and non‑technical stakeholders.
Leverage generative AI tools (coding assistants, LLM APIs, AI‑augmented workflows) to accelerate development, improve code quality, and build AI‑powered features into products.
Architect and implement cloud‑native systems using containerized deployments, infrastructure as code, and modern CI/CD practices.
Identify and resolve technical risks and bottlenecks proactively — don’t wait to be asked.
Collaborate across business units, translating ambiguous business needs into well‑scoped technical solutions.
Elevate the team through code reviews, technical mentorship, and establishing engineering best practices.
Rapidly learn and become productive in unfamiliar codebases, technology stacks, and problem domains.
Troubleshoot and resolve complex issues spanning the full stack, from frontend UI to backend services and cloud infrastructure.
Qualifications
Bachelor’s degree in computer science, software engineering, or related field preferred (or equivalent practical experience).
8+ years of professional software development experience (10+ years preferred).
Demonstrated experience leading technical efforts — designing systems, making architectural calls, and driving projects to completion without close oversight.
Production experience using generative AI to deliver real work products — not just experimenting, but shipping AI‑assisted code, AI‑powered features, or AI‑augmented workflows that are running in production today.
Track record of increasing scope and ownership over your career.
Technical Skills
Deep understanding of web application and distributed systems fundamentals (HTTP, REST APIs, authentication, state management, security).
Strong experience with modern frontend frameworks (React, Vue, Angular, or equivalent).
Strong experience with backend frameworks and API development (e.g., Node.js/Express, FastAPI/Django/Flask, ASP.NET, Spring Boot, or similar).
Experience with relational and NoSQL databases (e.g., PostgreSQL, SQL Server, DynamoDB, MongoDB) including data modeling, query optimization, and understanding trade‑offs between storage technologies.
Hands‑on experience with generative AI tools and APIs (e.g., LLM‑assisted coding, prompt engineering, integrating AI services into applications).
Solid experience with cloud platforms in production (AWS, Azure, or GCP), including containerization (Docker, Kubernetes) and infrastructure as code (Terraform, CloudFormation, or similar).
Experience designing systems for reliability, scalability, and observability.
Strong debugging and problem‑solving skills across the full stack.
A genuine drive to continuously sharpen your craft and adopt better tools and approaches.
Location & Travel
Hybrid role based in Genoa, Italy.
Benefits
PTO
Ex‑Festivita
Employee Welfare program
Other company benefits prescribed by Italian Law
MEIDS is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
#J-18808-Ljbffr
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