Senior Application Backend 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

• - Instrument applications using OpenTelemetry SDKs in Go and Node.js/TypeScript.
  • Implement and maintain custom metrics and telemetry.
  • Contribute instrumentation changes across repositories owned by multiple teams.
  • Support Kubernetes and Helm-based deployments.
  • Work with GraphQL services and APIs.
  • Validate telemetry signals against independent data sources before they are used for alerting.
  • Collaborate with platform and observability teams to improve monitoring coverage and reliability.
  
  

  SKILLS

  Must have

  • - Strong hands-on experience with OpenTelemetry instrumentation.
  • Experience developing in both Go and Node.js/TypeScript.
  • Experience implementing custom metrics and application telemetry.
  • Solid understanding of observability, monitoring, and distributed systems.
  • Hands-on experience with Kubernetes and Helm.
  • Experience working with GraphQL.
  • Ability to contribute across multiple codebases and drive cross-team PRs to completion.
  • Experience with AI-assisted development tools such as Claude Code, GitHub Copilot, or equivalent.
  • Strong analytical mindset and healthy skepticism toward telemetry data quality.
  • Ability to validate metrics and signals against independent sources before operationalizing alerts.
  
  

  Nice to have

  - OpenTelemetry Collector

• 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.