Lead/Staff Platform Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead/Staff Platform Engineer in Spain.

This role sits at the core of a next-generation AI-powered software engineering platform, where internal tooling, developer experience, and AI agent workflows converge. You will shape how software is built, tested, secured, and deployed across the organization, ensuring both human engineers and AI agents operate effectively within the same ecosystem. The environment is highly technical, product-driven, and deeply focused on engineering excellence and automation. You will define and scale the foundational platform that enables fast, secure, and reliable delivery across teams. This is a hands-on leadership role with strong ownership, where your work directly influences developer productivity and system reliability. You will operate at the intersection of platform engineering, DevEx, and AI-native workflows in a fast-moving, high-impact setting.

Accountabilities

You will define, build, and evolve the core platform and engineering foundations that support all product teams and AI-driven workflows, ensuring scalability, security, and developer efficiency. You will act as both architect and hands-on engineer, shaping how software is built and delivered across the organization.

• Shape and improve the end-to-end engineering lifecycle, including local development, CI/CD, deployment pipelines, and production feedback loops
• Define and enforce standards for testing, infrastructure-as-code, observability, and secure software delivery practices
• Build shared platforms, tooling, templates, and “golden paths” that improve developer velocity and consistency
• Own secure delivery practices by embedding security scanning, secrets management, dependency controls, and supply-chain protection into core pipelines
• Design infrastructure and tooling that enable AI coding agents to operate effectively within engineering systems
• Improve system feedback loops and measure platform effectiveness using DORA metrics and engineering productivity signals
• Partner with product teams to ensure adoption of platform standards and continuously raise engineering maturity across the organization
  
  

Requirements

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You bring a strong software engineering foundation combined with deep platform engineering experience and a pragmatic mindset toward building scalable internal systems. You understand both developer needs and system-level constraints, and you are comfortable working in AI-augmented environments.

• Strong background in software engineering with significant experience in platform or infrastructure engineering roles
• Proven ability to design and build internal developer platforms and engineering tooling at scale
• Deep expertise in CI/CD systems, automated testing frameworks, and infrastructure-as-code practices
• Strong understanding of modern software security practices, including SecDevOps and shift-left security approaches
• Experience building developer-centric platforms with a product mindset and measurable impact on engineering velocity
• Familiarity with AI coding agents and an understanding of their strengths, limitations, and integration patterns
• Experience with observability, production systems, and distributed architectures in cloud-native environments
• Strong communication skills and ability to influence engineering teams through technical leadership rather than hierarchy
• Bonus: experience with end-to-end testing frameworks (e.g., Playwright) and scaling testing infrastructure
  
  

Benefits

• Fully remote and flexible working model
• High-impact role with significant ownership over core engineering infrastructure

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• Equity participation aligned with company success
• Opportunity to shape next-generation AI-native software development workflows
• Work in a high-caliber, engineering-driven environment focused on excellence and innovation
• Strong emphasis on individual ownership and technical leadership recognition
• Direct visibility into product impact and fast feedback loops from engineering users
• Inclusive, global team culture with a focus on autonomy and performance
  
  

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.