Engineering Manager - Platform Engineering

Feedzai

Portugal

Presencial

EUR 60 000 - 90 000

Tempo integral

14 dias+

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Resumo da oferta

A leading cloud technology firm in Portugal is seeking an experienced Engineering Manager to lead a dynamic team in Platform Engineering. This role involves strategic leadership and collaboration across functional teams to enhance cloud solutions. Candidates should have extensive experience in managing engineering teams, a strong background in cloud technologies like AWS or Azure, and excellent problem-solving skills. The ideal candidate will foster a culture of continuous improvement, technical excellence, and operational efficiency.

Qualificações

  • Extensive experience managing platform or infrastructure engineering teams.
  • Deep understanding of cloud providers and distributed systems.
  • Strong familiarity with Kubernetes and Infrastructure-as-Code practices.

Responsabilidades

  • Lead and mentor a team of engineers, fostering technical excellence.
  • Partner with stakeholders to define and enforce engineering practices.
  • Develop performance metrics to measure and improve system health.
  • Promote a 'you build it, you run it' mindset within the team.
  • Ensure predictable delivery of platform commitments.

Conhecimentos

Leadership
Cloud Computing
Kubernetes
Problem Solving
Communication

Formação académica

Bachelor’s degree in Computer Science or Engineering

Ferramentas

AWS
GCP
Azure

Descrição da oferta de emprego

Join Us!

Feedzai is the world’s first RiskOps platform for financial risk management, and the market leader in safeguarding global commerce with today’s most advanced cloud-based risk management platform, powered by machine learning and artificial intelligence. Feedzai is securing the transition to a cashless world while enabling digital trust in every transaction and payment type. The world’s largest banks, processors, and retailers trust Feedzai to protect trillions of dollars and manage risk while improving the customer experience for everyday users, without compromising privacy. Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year.

The Engineering (Tech) Team is responsible for all Feedzai product development. Together with Product Management and Data Science, we build the next generation of tools to catch fraud in real-time with a machine learning first approach. Formed by engineers and managed by engineers, at Feedzai, you will find one of the most talented teams out there, from junior to senior engineers.

Driven to build the best value for our customers, our work involves a wide range of technical challenges. Such as building distributed systems that need to operate 24/7 with ultra‑low latencies and solving UI/UX problems to help fraud analysts to fight fraud more efficiently. In addition, designing extensive databases from relational, NoSQL and graph databases, validating and developing new data‑science techniques and algorithms.

With Cloud at its core, Platform Engineering powers the entire product development lifecycle. From initial testing to global deployment and 24/7 operations, we enable a true DevOps culture. We provide a fast‑paced, open, and collaborative environment that encourages team members to lean in, experiment, and discover their full potential through continuous learning.

You

We are looking for an experienced, dynamic Engineering Manager to lead a high‑performing team within the Platform Engineering area. This Manager position requires a combination of business‑oriented mindset and deep technical knowledge. You are someone who creates clarity in the face of ambiguity, translating high‑level product vision into executable, multi‑quarter roadmaps. You don’t just manage a team; you own the strategic alignment between engineering outcomes and business value.

You will lead engineers accountable for translating needs into robust technical requirements—designing, building, and optimizing Feedzai’s cloud solutions. Success in this role means working in close partnership with Product, Engineering, Security, and Customer Success to deliver a world‑class platform.

Your Day to Day
  • Team Leadership: Lead and mentor a team of highly skilled Engineers, fostering a culture of technical excellence and continuous growth.
  • Strategic Collaboration: Partner with cross‑functional stakeholders to define, enforce, and evolve engineering best practices.
  • Data‑Driven Management: Develop and maintain key performance metrics (SLOs/SLIs) to measure and improve system health.
  • Operational Excellence: Promote a "you build it, you run it" mindset, focusing on automation and reducing operational friction.
  • Predictable Delivery: Assess team capacity realistically to ensure consistent, predictable delivery of platform commitments.
You Have and You Know‑How
  • Proven Leadership: Extensive experience managing platform or infrastructure engineering teams in high‑growth environments.
  • Cloud Expertise: Deep understanding of major cloud providers (AWS, GCP, or Azure) and complex distributed systems.
  • Orchestration & Automation: Strong familiarity with Kubernetes, container ecosystems, and Infrastructure‑as‑Code (IaC) practices.
  • Mission‑Critical Mindset: A strong background in performance‑sensitive systems where high availability is non‑negotiable.
  • Problem Solving: A proactive approach to identifying bottlenecks and a knack for making processes more efficient.
  • Communication: Excellent leadership skills with the ability to influence both technical and non‑technical stakeholders.
  • Candid Mentorship: Proven ability to grow talent by providing candid, continuous feedback aligned with professional career frameworks, fostering a high‑trust and psychologically safe environment.
  • Strategic Proximity: Ability to remain technically engaged enough to be accountable for architectural quality and security, without becoming a bottleneck in day‑to‑day operations.
  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent professional experience).

The Product Team builds our product to disrupt the financial crime industry from a data‑led approach. We partner with our clients using a holistic lens and have result‑driven solutions to manage financial risk with a cloud‑first platform and a world‑class UX interface. Being part of this team, you have a voice in planning, strategising, and challenging the status quo. Your thoughts and ideas are valued. Our fast‑paced and open environment encourages us to lean in, try new things, and discover our potential. We define and act on what could be in tomorrow’s world, not on what is today.

Join Us!

Your First 30‑Days at Feedzai

You will be immersed in our brand with training, connections, and one‑on‑one time with your manager. You may shadow your colleagues virtually or onsite at an office depending on where you work as you are supported through your Feedzai journey. In addition, you will have access to a ton of information to give you history, context, and all the knowledge you can handle about Feedzai and the team. Finally, you will start working on projects and collaborating on work currently being done. We can’t wait to have you join the team!

Feedzai is an Equal Opportunity Employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Feedzai does not accept unsolicited resumes from recruiters or employment agencies.

Feedzai will use the personal data you provide us with by filling out this form for reviewing your application and to potentially negotiate a contract with you. Your personal data will be retained by Feedzai for 24 months following your application. Please see our Privacy Notice available at https://www.feedzai.com/legal/feedzai-candidate-privacy-policy/ and https://www.feedzai.com/legal/feedzai-california-candidates-privacy-policy/ for more information on how we process your personal data.

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