1918 frontend developer English-speaking jobs in Poland

Terraform, Helm, ArgoCDObservability & Quality: Datadog, MLflow Tracing, dbt Elementary, SQLFluffCI/CD & Developer

Terraform, Helm, ArgoCDObservability & Quality: Datadog, MLflow Tracing, dbt Elementary, SQLFluffCI/CD & Developer

Nice to Have: Background in IoT, developer tools, or embedded systems tooling.

Hands‑on experience with AI‑enabled developer tools, coding assistants, copilots, or agentic workflows

databases or Snowflake Extensive hands-on experience in RDBMS and distributed data platforms as a database developer

team Min. 2 years of professional experience of working with SQL/databases (preferably in a Analyst/Developer

AWS certification (Developer Associate or Solutions Architect Associate) or a relevant Microsoft certification

You will value our Developer Experience and the full platform of tools and technologies that make creating

Update existing e‑learnings using developer software such as Articulate 360, coordinate regular content

these issues to prevent system failures – also focusing on the broader code, this is NOT a pure C# developer

enterprise applications Extensive hands-on experience in RDBMS and distributed data platforms as a database developer

sources.Working with LLMs to generate personalized, SEO-aligned content.Wymagania6+ years as a software developer

Terraform, Helm, ArgoCDObservability & Quality: Datadog, MLflow Tracing, dbt Elementary, SQLFluffCI/CD & Developer

Each team and developer have a high degree of freedom to plan, organize and design their work.

Ensure security requirements are translated into actionable, developer-friendly guidance Work with customer

help build a strong platform engineering culture focused on automation, repeatability, quality, and developer

The expectation is that the Application Engineering Project Technical Lead is also a hands‑on developer

Systems Design, Software Development, Machine Learning, or Data Engineering & Analytics. 7+ years as a developer

These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops

platforms: You want to help make data and AI capabilities available in a controlled, scalable, and developer‑friendly