Software Or Platform Engineer

Job Title:

Software Engineer Platform & Infrastructure

Department:

Software Engineering

Job Category:

Individual Contributor

Reporting Structure:

• Reports To:

• Reportees:

• Peers:

• Stakeholders:

Location:

Europe (Travel Required)

Job Summary:

Software Engineer Platform & Infrastructure

The engineer collaborates closely with development teams to create performant, developer-friendly platforms for both applications and data systems.

Key Responsibilities:

• Infrastructure as Code (IaC)

• CI/CD pipelines

• monitoring and alerting systems

• Developer Portal (Backstage)

• reference or sample applications

• data workloads and pipelines

• Identify and automate repetitive operational tasks to improve reliability and efficiency.

• Enhance monitoring and observability for better visibility, reliability, and proactive issue detection.

• Collaborate with development teams to define requirements, architecture, and specifications.

• DevSecOps

• developer onboarding

Qualifications, Skills, and Competencies:

• Education:

• Language:

• Experience:

• Technical Proficiency:

  • C#, Python, TypeScript

  • Azure Cloud

  • Kubernetes

  • CI/CD pipelines

  • data engineering

• Soft Skills:

• Mindset:

Success Criteria / KPIs:

Software Development & Reliability

• High platform reliability and reproducibility (pipeline success rates, infra drift metrics).

• Increased automation across delivery processes (manual task reduction).

• Fewer manual interventions or deployment incidents.

• Compliance with Service Level Objectives (SLOs).

• Improved developer satisfaction with platform usability.

Collaboration & Communication

• Active participation in defining platform standards and requirements.

• Effective collaboration with development and operations teams.

• Constructive contributions to design reviews and incident postmortems.

Code Quality & Best Practices

• Adherence to coding and infrastructure standards (code review success rate, test coverage).

• Positive impact on reliability and maintainability (fewer failures, reusable IaC modules, faster builds).

Problem Solving & Debugging

• Efficient incident detection and resolution (MTTR, incident count).

• Proactive prevention of recurring issues and improvement in system stability.

Learning & Growth

• Continuous learning and implementation of emerging technologies.

• Tangible skill growth through certifications, trainings, and project impact.

Timely Delivery

• On-time delivery of automation and infrastructure improvements.

• Minimal delays in development or deployment due to platform dependencies.