Staff Platform Engineer
Pubblicato il 08-10-2026 - Jobgether in Italia
pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Platform Engineer based in Italy /b /p /brpThis is a hands-on technical leadership role focused on raising the standard for how software is built, tested, delivered, and operated. /p /brpYou will shape the platform foundations that product teams and AI coding agents rely on to move quickly and reliably. /p /brpThe role spans developer experience, CI/CD, infrastructure, automated testing, observability, security, and secure software delivery. /p /brpYou will establish engineering standards, build reusable tooling and golden paths, and help teams adopt workflows that create measurable leverage. /p /brpA key focus will be AI harness engineering: designing development environments and engineering systems where AI agents can work effectively and safely. /p /brpYou will operate as a builder and technical leader, staying close to code, infrastructure, pipelines, and the evolving needs of engineering teams. /p /brpThis is an opportunity to have organization-wide impact while helping define how modern software teams collaborate with increasingly capable AI agents. /p /brh3Accountabilities /h3 /brul /brliShape the platform and infrastructure foundations that product teams build and operate their services on, balancing standardization with team autonomy. /li /brliImprove the complete engineering development loop, including local development, CI/CD, deployment processes, production feedback, and developer workflows. /li /brliDefine and drive engineering standards for automated testing, infrastructure as code, observability, reliability, and secure software delivery, while helping product teams adopt them effectively. /li /brliBuild shared tooling, templates, reusable components, and golden paths that reduce friction and provide practical leverage across the engineering organization. /li /brliOwn secure delivery practices end to end by integrating security scanning, secrets management,
dependency controls, software supply-chain protections, and penetration-testing workflows into core development and delivery pipelines. /li /brliMonitor and respond to the evolving security landscape, particularly as AI coding agents change how vulnerabilities are introduced, discovered, and potentially exploited. /li /brliImprove repositories, development conventions, tooling, documentation, test coverage, and feedback loops so AI coding agents can navigate codebases efficiently and produce reliable results. /li /brliMeasure the effectiveness of platform initiatives through DORA metrics and qualitative feedback from engineering teams, using those insights to continuously improve the developer experience. /li /brliProvide hands-on technical leadership by setting direction while remaining deeply involved in code, infrastructure, automation, and pipeline implementation. /li /br /ul /brh3Requirements /h3 /brul /brliStrong software engineering background with significant experience building and operating production-grade systems. /li /brliDemonstrated experience designing and developing internal platforms, with strong judgment around what should be abstracted, exposed, standardized, or left flexible. /li /brliDeep expertise in CI/CD, automated testing, infrastructure as code, developer tooling, and modern software delivery practices. /li /brliStrong understanding of software security and secure delivery approaches, including shift-left security and SecDevOps principles. /li /brliProduct-oriented mindset toward internal platforms,
treating engineers and AI agents as users and measuring whether tooling genuinely improves their productivity. /li /brliPractical fluency with AI coding agents, including an understanding of how they operate, where they encounter friction, and how engineering environments can be designed to make them more effective. /li /brliAbility to operate as a hands-on technical leader who can define strategy while personally contributing to code, infrastructure, pipelines, and tooling. /li /brliStrong systems thinking and the ability to identify organization-wide opportunities for standardization, automation, reliability, and developer productivity. /li /brliStrong communication and collaboration skills, with the ability to influence product teams and drive adoption of shared engineering practices. /li /brliExperience with end-to-end testing frameworks such as Playwright and knowledge of how to scale automated testing environments is a strong plus. /li /brliComfortable working in a fast-moving, high-ownership environment where established processes and playbooks may still be evolving. /li /br /ul /brh3Benefits /h3 /brul /brliOpportunity to shape the future of software development and AI-assisted engineering. /li /brliHigh level of ownership with direct visibility into the impact of your technical decisions. /li /brliIndividual-contributor-focused culture that values engineers who lead through execution and create momentum by building. /li /brliOpportunity to collaborate with highly experienced AI and software engineering professionals. /li /brliGlobal and flexible remote work environment, with an emphasis on results rather than location. /li /brliEquity participation designed to align individual success with the long-term growth of the organization. /li /brliSignificant opportunity to influence platform strategy, engineering standards, security practices, and AI-enabled development workflows. /li /brliInclusive environment committed to diversity and equal opportunity. /li /br /ul #J-18808-Ljbffr