Principal DevOps Engineer – Leading the Function of Platform Engineering & Data Ops!

Archer · Recruitment agency
Full-time•DevOps•€120k/year (EUR)•Dublin, Ireland
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At a glance

Employment type
Full-time
Workplace
On-site
Salary
€120k/year (EUR)
Category
DevOps

Technologies & skills

Primary technologies

PHP

What you'll be doing

Principal DevOps Engineer role leading Platform Engineering & Data Ops for a global organization in Dublin. Own the platform engineering roadmap, drive automation, cloud innovation, and lead large-scale platform transformation across AWS, Kubernetes, and CI/CD. Strategic technical leadership with hands-on responsibilities.

Key requirements

Must-have

  • 10+ years’ experience in DevOps, Platform Engineering, Cloud Architecture, or Infrastructure Engineering
  • Strong technical expertise across AWS, Kubernetes (EKS), Docker, and Terraform
  • Experience with CI/CD tooling such as GitHub Actions and Argo CD

Experience: 10+ years

Role signals

Technical focus
DevOps, Platform Engineering, Cloud Architecture, Infrastructure Engineering
Leadership
Mentoring
Architecture / system design
Indicated in the listing
Hands-on vs management
Mixed

Full job description

Principal DevOps Engineer – Leading the Function of Platform Engineering & Data Ops!

- Own the Platform Engineering roadmap across AWS and Kubernetes

- Lead DevOps, cloud platforms, data operations, and AI/MLOps

- Drive engineering transformation through automation and cloud innovation

An exciting opportunity has opened for a Principal DevOps Engineer – Platform Strategy & Data Operations to join a leading global organisation undergoing significant technology transformation. Reporting to the Head of Platform Enablement, you’ll play a strategic technical leadership role, owning the Platform Engineering roadmap while defining the future of developer platforms, cloud infrastructure, and data operations across the enterprise.

You’ll lead the evolution of modern platform capabilities, driving automation, self-service, DevSecOps practices, and cloud-native engineering while working closely with Engineering, Security, Architecture, Infrastructure, and Data teams. This role combines strategic technical ownership with hands-on leadership, enabling engineering teams to deliver secure, scalable, and resilient software faster.

Why This Role Stands Out

•Own the vision, strategy, and roadmap for enterprise DevOps architecture and Platform Engineering

•Lead large-scale platform transformation across cloud infrastructure, automation, security, and developer tooling

•Define architectural direction across AWS, Kubernetes, infrastructure as code, and cloud-native technologies

•Drive innovation across AI/MLOps, data operations, and next-generation engineering capabilities

•Influence senior engineering stakeholders and shape technology strategy across a global organisation

•Champion engineering excellence, continuous improvement, and modern DevOps best practices

•Enjoy a clear pathway towards senior technology leadership within a high-profile global environment

What You Bring

  • 10+ years’ experience in DevOps, Platform Engineering, Cloud Architecture, or Infrastructure Engineering

  • Strong technical expertise across AWS, Kubernetes (EKS), Docker, and Terraform

  • Experience with CI/CD tooling such as GitHub Actions and Argo CD

Package & Benefits

  • Competitive salary of up to €120,000

  • Annual performance bonus of 15%

  • Generous 10% pension contribution

  • Health and life insurance

  • Subsidised onsite canteen

Interested in owning the Platform Engineering roadmap, leading enterprise DevOps strategy, and driving cloud innovation within a global technology environment?

Contact Serena Akbib on +353 1 960 9972 or send your CV to .

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

Based on this listing, the Principal DevOps Engineer role centers on leading the platform engineering and data operations function, owning the roadmap for cloud infrastructure, automation, and developer tooling across AWS and Kubernetes. The position combines strategic technical leadership with hands-on delivery, driving innovation and transformation in a global technology environment.

  • Strategic Platform Leadership·High
  • Cloud-Native Technical Depth·High
  • Cross-Functional Influence·High
  • DevOps & Automation·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Cloud and Platform Engineering Achievements

    0–8 min

    List and reflect on your most impactful projects involving AWS, Kubernetes, Docker, and Terraform, focusing on scale, automation, and outcomes.

  2. Prepare Leadership and Roadmap Examples

    8–15 min

    Select 1-2 stories where you owned or significantly influenced platform strategy, including stakeholder management and measurable results.

  3. Refresh CI/CD and DevOps Best Practices

    15–20 min

    Review your experience with GitHub Actions, Argo CD, and implementing CI/CD pipelines, noting challenges and improvements delivered.

  4. Reflect on Cross-Functional Collaboration

    20–25 min

    Identify examples of working with security, architecture, and data teams to deliver secure, scalable solutions.

  5. Draft Role-Specific Questions

    25–30 min

    Prepare thoughtful questions about the platform roadmap, team structure, and innovation opportunities to ask during the interview.

Likely questions

, 6 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items

  • Owning and Defining Platform Engineering Roadmaps

    You will need to demonstrate experience in setting vision, strategy, and execution plans for platform engineering at scale.

  • Technical Expertise in AWS, Kubernetes, Docker, and Terraform

    The role requires deep hands-on knowledge of these technologies; be ready to discuss architecture, deployment, and operational best practices.

  • Driving Automation and Cloud-Native Transformation

    Showcase examples where you have led automation initiatives, implemented infrastructure as code, and enabled self-service for engineering teams.

  • Leading Cross-Functional Collaboration

    Prepare to discuss how you have influenced and partnered with engineering, security, architecture, and data teams to deliver secure, scalable solutions.

  • Implementing DevOps and CI/CD Best Practices

    Be ready to explain your approach to modern CI/CD pipelines, tooling (e.g., GitHub Actions, Argo CD), and continuous improvement.

  • Championing Data Operations and AI/MLOps

    Highlight your experience enabling data-driven engineering and supporting AI/ML workflows within platform environments.

What to research

, 4 items

  • AWS, Kubernetes (EKS), Docker, and Terraform Expertise

    Review your hands-on experience architecting, deploying, and operating cloud infrastructure using these technologies.

  • CI/CD Tooling: GitHub Actions and Argo CD

    Prepare to discuss your experience designing and maintaining CI/CD pipelines with these tools.

  • Platform Engineering Roadmap Development

    Gather examples of how you have set and executed platform engineering strategies in previous roles.

  • Cross-Functional Leadership

    Reflect on your experience collaborating with engineering, security, architecture, and data teams.

Questions to ask

, 6 items
  1. How is the platform engineering roadmap currently defined and what are the top priorities for the next 12 months?

    Why ask this? To understand the immediate challenges and strategic direction you would be leading.

  2. What is the current state of automation and self-service capabilities for engineering teams?

    Why ask this? To gauge the maturity of existing processes and identify areas for impact.

  3. How do platform engineering and data operations teams collaborate with security and architecture?

    Why ask this? To clarify cross-team dynamics and expectations for leadership.

  4. What are the biggest challenges faced in driving DevOps and cloud-native adoption across the organization?

    Why ask this? To anticipate obstacles and tailor your approach to transformation.

  5. How is success measured for this role and what does a successful first year look like?

    Why ask this? To align your contributions with organizational goals and expectations.

  6. What opportunities exist to influence AI/MLOps and next-generation engineering capabilities?

    Why ask this? To explore the scope for innovation and impact in emerging areas.

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Apply NowApply before: 23 Nov 2026