Software Engineering Manager

We are expanding Duferco’s Corporate Innovation Team: a fast-moving engineering team operating in a start up-like environment, backed by the stability and scale of a diversified global group.We are looking for an engineering leader whose mission is to help evolve how software is built inside the organization through AI-assisted development, agentic coding workflows, and modern engineering practices.This is not a traditional engineering management role focused mainly on delivery coordination. We are looking for someone who can establish and enforce high-leverage development workflows, improve engineering effectiveness, and help teams fully exploit modern AI coding tools and autonomous development systems.You will work closely with engineers across projects and domains — helping shape coding standards, review processes, engineering tooling, development workflows, and AI-native software delivery practices.About the TeamWe sit close to real business problems and have the freedom to prototype and ship quickly. AI is already part of our daily workflow, and we expect that role to keep expanding.We care about building things well, shipping systems that create leverage, and continuously improving how engineering work gets done.We appreciate people who combine strong engineering judgment with pragmatism, curiosity, and a deep interest in how AI is changing software development itself.What You’ll DoHelp transform and scale AI-assisted software development practices across the organization:Establish engineering best practices around AI-assisted and agentic coding workflowsDrive adoption of modern AI development tooling such as Claude Code, Cursor, Codex, MCP-enabled workflows, autonomous agents, and related systemsImprove development velocity and code quality through AI-assisted review, testing, refactoring, documentation, and automation practicesDefine and evolve engineering workflows for AI-native software delivery, including PR review standards, coding conventions, development environments, and collaboration patternsMentor engineers on effective usage of AI coding tools, balancing speed, maintainability, reliability, and engineering judgmentEvaluate emerging AI development paradigms and help the organization adopt practical approaches with real leverageCollaborate closely with engineering teams while remaining hands-on enough to understand workflow bottlenecks and opportunities first handHelp shape internal engineering tooling, automation systems, and developer productivity infrastructure.What We OfferA high-autonomy role with significant influence on engineering practices and development cultureThe opportunity to help define how AI-assisted software engineering is adopted at scale inside the organizationModern AI-assisted engineering tools and freedom to experiment with new workflows and technologiesA fast-moving, collaborative environment with talented and ambitious peopleA broad variety of technical and operational challenges across multiple industries and domainsCompetitive compensation and benefitsFlexible working hours and hybrid work setupYou’re Probably a Fit IfYou have experience leading or mentoring software engineering teams in fast-moving environmentsYou actively use AI coding tools daily — Claude Code, Cursor, Codex, Copilot, or similar — and have developed strong opinions about where they create leverage and where human judgment still matters mostYou think deeply about developer productivity, engineering workflows, code review quality, maintainability, and software delivery effectivenessYou can balance pragmatism and engineering rigor without becoming process-heavyYou are comfortable introducing new workflows and helping teams adopt them effectivelyYou stay current with emerging development paradigms around LLMs, coding agents, autonomous workflows, MCP ecosystems, and AI-native engineering practicesYou are still technically strong enough to engage credibly with engineers and understand the realities of day-to-day software developmentYou enjoy improving systems, workflows, and organizations — not just writing codeExperience with backend systems, cloud infrastructure, CI/CD systems, developer platforms, LLM applications, agent frameworks, or internal engineering tooling is a strong plus.You do not need experience with every technology we use. Strong engineering judgment, adaptability, curiosity, and the ability to help teams evolve matter much more. #J-18808-Ljbffr