Senior Cloud Engineer - Product Metrics

Jobgether·Lever
IrelandFull-timePosted Jul 3, 2026
Apply

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Engineer - Product Metrics based in Ireland.

This role offers the opportunity to build and operate large-scale cloud infrastructure that powers mission-critical product metrics and real-time analytics. You will work on highly distributed systems responsible for processing trillions of events and managing petabytes of data with exceptional reliability and performance. Collaborating with experienced engineers in a fully remote environment, you will contribute to platform strategy, deliver scalable features, and optimize cloud-native services that support both internal operations and customer-facing insights. The position combines hands-on engineering, architectural decision-making, and operational ownership, making it ideal for professionals passionate about distributed systems and cloud technologies.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Cloud Engineer - Product Metrics based in Ireland.

This role offers the opportunity to build and operate large-scale cloud infrastructure that powers mission-critical product metrics and real-time analytics. You will work on highly distributed systems responsible for processing trillions of events and managing petabytes of data with exceptional reliability and performance. Collaborating with experienced engineers in a fully remote environment, you will contribute to platform strategy, deliver scalable features, and optimize cloud-native services that support both internal operations and customer-facing insights. The position combines hands-on engineering, architectural decision-making, and operational ownership, making it ideal for professionals passionate about distributed systems and cloud technologies.

Accountabilities:

    • Design, develop, operate, and continuously improve highly scalable, fault-tolerant distributed systems that support large-scale product metrics collection and analytics.
    • Contribute to the technical roadmap by identifying improvements, proposing new capabilities, and driving engineering initiatives that enhance platform performance and scalability.
    • Build and maintain cloud-native services responsible for processing, storing, and serving massive volumes of real-time data with high accuracy and availability.
    • Monitor, optimize, and ensure the reliability, performance, scalability, and cost efficiency of production systems.
    • Collaborate closely with cross-functional engineering teams to deliver new features, improve existing services, and support business objectives.
    • Participate in architectural discussions, perform code reviews, and mentor teammates by sharing technical knowledge and best practices.
    • Take ownership of production services through operational support, incident response, troubleshooting, and participation in an on-call rotation.
    • Requirements

      • Minimum of 5 years of professional experience developing and operating scalable, distributed, and fault-tolerant software systems.
      • At least 2 years of hands-on experience developing applications with Go (Golang).
      • Strong experience working with at least one major cloud platform such as AWS, Google Cloud Platform (GCP), or Microsoft Azure.
      • Experience building high-performance data processing systems and working with technologies for storing, transporting, and querying large-scale datasets.
      • Solid expertise with Kubernetes and cloud-native technologies, including tools such as Helm, ArgoCD, Temporal, and infrastructure-as-code solutions like Terraform.
      • Strong problem-solving, debugging, and production troubleshooting skills with a focus on reliability and operational excellence.
      • Excellent communication and collaboration skills, with the ability to thrive in a fully remote, cross-functional engineering environment.
      • Self-driven mindset with strong ownership, accountability, and customer focus.
      • Experience with ClickHouse, Kafka, or developing Kubernetes operators/controllers is considered a strong advantage.
      • Benefits

        • Fully remote and flexible work environment with opportunities to collaborate across a globally distributed team.
        • Competitive compensation package based on experience, skills, qualifications, and location.
        • Employer-supported healthcare benefits.
        • Company equity through stock option grants.
        • Flexible paid time off or generous local leave policies.
        • Home office allowance of $500 USD for remote employees.
        • Company-sponsored global offsites and team gatherings that encourage collaboration and connection.
        • Opportunity to work on cutting-edge cloud infrastructure, large-scale distributed systems, and real-time analytics technologies.
        • Collaborative engineering culture with strong ownership, innovation, and professional growth opportunities.
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.     #LI-CL1

Want jobs like this matched to you?

Swoopd scores fresh postings against your résumé so you only see the matches that matter.

Get started free