Platform Engineer - Fully Remote

JR United Kingdom; Leeds; Remote; GBP 80,000 - 100,000; Full time

Job description

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Platform Engineer - Fully Remote, leeds, west yorkshire

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Client:

Realtime Recruitment

Location:

leeds, west yorkshire, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

3

Posted:

05.05.2025

Expiry Date:

19.06.2025

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Job Description:

My client is a powerhouse in Fintech international design, & is seeking a Platform Engineer to build and maintain highly available cloud data applications.

You'll collaborate with DevOps and Engineering to integrate these applications within Payroc's ecosystem. This role involves defining platform standards for smooth deployments, ensuring platform stability and scalability through upgrades, and managing the data analytics platform.

Responsibilities:

• Collaborate with DevOps, Data Engineering, Infrastructure, and InfoSec for seamless application integration.
• Design, implement, and maintain scalable cloud data platform infrastructure (AWS or Azure).
• Implement IaC best practices and use Azure CI/CD for automated deployments.
• Partner with the data management team and stakeholders to align platform capabilities with requirements.
• Establish controls and monitoring for system uptime and proactive operational maintenance.
• Plan and manage platform upgrades for stability and security.
• Monitor and optimize platform performance, reliability, and security.
• Conduct security assessments and implement safeguards.
• Stay updated on emerging technologies for continuous improvement.
• Troubleshoot and resolve platform issues promptly.

Qualifications:

• Bachelor's in Computer Science, Engineering, or related field.
• Proven experience as a Data Platform Engineer or similar.
• Proficient in deploying highly available cloud services (AWS or Azure).
• Strong understanding of IaC principles and tools (Terraform, CloudFormation, Bicep).
• Familiarity with cloud database technologies (Snowflake, Redshift, etc.).
• Knowledge of Linux and related platform tooling (e.g., Docker).
• Knowledge of data platform and/or data science tooling.
• Solid understanding of networking concepts and protocols.