Full-Stack Developer

Full-Stack Developer – Observability & Metrics

Need to speak Polish & English

Start date ASAP

Job summary

We are looking for a Full-Stack Developer to design, develop and maintain observability and reporting solutions, with a primary focus on Datadog dashboarding and metrics visualisation. The role combines software development, data integration, analytics and user experience design to deliver actionable insights for engineering, product and leadership teams.

The successful candidate will build scalable dashboards, integrate multiple data sources, develop custom metrics-tracking applications and help create a unified view of software delivery, quality, reliability and operational performance.

Responsibilities

• Design, develop and maintain Datadog dashboards, monitors, scorecards, SLOs and reporting solutions.
• Build dashboard‑like applications and metrics platforms using modern frontend and backend technologies.
• Integrate data from sources such as Datadog, GitHub, Azure DevOps, Jira, SonarQube, CI/CD pipelines, cloud platforms, databases and APIs.
• Develop data ingestion, aggregation, transformation and visualisation capabilities.
• Create and maintain engineering KPIs, including DORA metrics, quality metrics, reliability indicators and delivery performance metrics.
• Collaborate with engineering teams and stakeholders to define reporting requirements and provide data‑driven insights.
• Ensure the accuracy, performance, scalability and usability of reporting solutions.
• Contribute to architecture, code quality, testing, documentation and continuous improvement initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering or equivalent experience.
• Experience in full-stack application development using technologies such as React, TypeScript, Kotlin or Python.
• Hands‑on experience with Datadog dashboards, monitoring, observability or similar analytics platforms.
• Experience integrating and consuming REST APIs, databases and multiple enterprise data sources.
• Strong understanding of data modelling, metrics collection, reporting and visualisation.
• Familiarity with GitHub, Azure DevOps, Jira, SonarQube, CI/CD pipelines and cloud platforms such as Azure or AWS.
• Knowledge of software engineering best practices, testing, security and scalable application design.
• Strong analytical, problem‑solving and communication skills, with the ability to translate business…