Senior Fullstack Engineer

Project description

Join a healthcare data platform team building client-scoped SLO monitoring and alerting solutions. The project includes automated dashboard and alert generation across 110-140 services, as well as an internal application providing customer-specific SLA visibility. This role focuses on application instrumentation, telemetry quality, and observability adoption across distributed systems. AI-assisted development is expected and encouraged.

In Luxoft, our culture is one that strives on solving difficult problems focusing on product engineering based on hypothesis testing to empower people to come up with ideas. Great Place to Work Institute certifies us as one of the Top 10 companies to work for in Mexico, and we do it with a truly flexible environment, high impact projects in Agile environments, a culture focused on results, training and strong support to grow your career.

Responsibilities

• - Develop full-stack applications using TypeScript and Next.js/React.js.
  • Implement secure server-side OIDC authentication and manage sessions.
  • Build and maintain credential-brokering proxy services.
  • Optimize application performance by caching costly backend queries.
  • Implement audit logging and traceability features.
  • Design clear, data-rich user interfaces for operational and SLA reporting.
  • Collaborate with platform and observability teams to support reliability efforts.
  • Validate telemetry and operational signals with independent data sources.
  
  

  SKILLS

  Must have

  • - Developing full-stack web applications with TypeScript, Next.js, and React.js
  • Applying server-side OIDC authentication and session-based security measures
  • Designing and building secure APIs and proxy services related to identity platforms
  • Implementing caching strategies and performance optimizations
  • Integrating audit logging for operational transparency
  • Utilizing AI-assisted development tools such as Claude Code or GitHub Copilot
  • Translating complex operational data into intuitive, user-friendly interfaces
  • Maintaining a strong analytical mindset with a healthy skepticism toward telemetry data quality
  • Validating metrics and signals against independent sources before operational use
  
  

  Nice to have

  - Grafana and observability platforms

• SLO-based monitoring and alerting
• Healthcare or other regulated environments
• SRE or platform engineering experience

Domain: US Healthcare (PHI-adjacent) Okta and observability platform access AI-assisted engineering is a standard part of the development workflow.