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.

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.

Languages

English: B2 Upper Intermediate