Senior Backend Engineer - Data & AI
New
P
PragmatikeEnterprise Software / AI / Data Infrastructure
Fully remote (EMEA timezone), EMEA timezoneFull-TimeSenior
Salary not disclosed
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Job Details
- Languages
- Fluent English required
- Experience
- 5+ years
- Required Skills
- AWSPythonGCPJavaAzureRESTful APIsData modeling
Requirements
- 5+ years of experience as a Backend Engineer, Software Engineer, or Product Engineer in a SaaS or product-driven environment
- Strong experience building data-intensive or distributed systems in production
- Proficiency in backend development (e.g., Python, Java, or similar languages)
- Solid understanding of APIs, data modeling, and cloud-based architectures
- Experience working with modern cloud platforms (AWS, GCP, or Azure) and containerized environments
- Ability to make pragmatic technology choices based on problem context rather than fixed stack preferences
- Strong problem-solving skills and ability to break down complex systems into scalable solutions
- Clear communication skills, with the ability to explain technical decisions to both technical and non-technical stakeholders
- Collaborative mindset with a strong sense of ownership and accountability
- Experience using AI-assisted development tools in a practical, productivity-focused way
Responsibilities
- Design, build, and own backend systems that transform raw enterprise data into structured, business-meaningful representations
- Develop and maintain scalable data processing pipelines, semantic storage layers, and versioning systems
- Own features end-to-end, from data modeling and backend logic to API design and integration layers
- Make and defend architectural decisions, balancing long-term scalability with short-term execution speed
- Build robust, production-grade APIs and services to power internal and external applications
- Integrate modern AI tools into development workflows to accelerate implementation, testing, and documentation
- Collaborate closely with cross-functional teams to deliver high-quality, impactful features
- Contribute to engineering best practices and help shape a scalable, maintainable platform architecture
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