Senior Full-Stack Engineer: AI-Assisted Observability & SLOs

Luxoft Poland; Poland; On-site; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private Medical & Dental care

Life Insurance

MyBenefit program

Internal Mobility program

Job summary

Luxoft Poland is seeking a skilled full-stack engineer to join a healthcare data platform team. You will build client-scoped SLO monitoring and alerting solutions across 110-140 services and contribute to an internal SLA-visibility tool.

The role emphasizes instrumentation, telemetry quality, and widespread observability across distributed systems. AI-assisted development is encouraged to improve delivery and quality.

Qualifications

• Developing full-stack web applications with TypeScript, Next.js and React.js
• Implementing server-side OIDC authentication and secure sessions
• Building secure APIs and proxy services for identity platforms
• Applying caching strategies to optimize performance
• Adding audit logging and tracing for observability
• Using AI-assisted development tools (e.g., Claude Code, Copilot)
• Translating telemetry data into intuitive interfaces
• Maintaining rigorous data quality checks for signals

Responsibilities

• Develop full-stack apps using TypeScript, Next.js and React.js
• Implement secure server-side authentication and manage sessions
• Build and maintain credential-brokering proxy services
• Optimize performance with caching of backend queries
• Implement audit logging and traceability features
• Design clear data-rich UIs for SLA reporting
• Collaborate with platform and observability teams to improve reliability
• Validate telemetry signals against independent data sources

Skills

TypeScript

Next.js

React.js

OIDC authentication

Caching

AI-assisted development

Telemetry/ observability

UI/ UX design

Data visualization

Job description

Luxoft Poland is seeking a skilled full-stack engineer to join a healthcare data platform team. You will build client-scoped SLO monitoring and alerting solutions across 110-140 services and contribute to an internal SLA-visibility tool.

The role emphasizes instrumentation, telemetry quality, and widespread observability across distributed systems. AI-assisted development is encouraged to improve delivery and quality.