Senior Application Backend Engineer

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

Job summary

Luxoft Poland is seeking a skilled observability engineer to help build a healthcare data platform with client‑scoped SLO monitoring and alerting across 110–140 services. You will instrument applications with OpenTelemetry in Go and TypeScript, implement custom metrics, and improve telemetry quality within distributed systems.

The role includes supporting Kubernetes/Helm deployments, working with GraphQL services, and collaborating with multiple teams to validate signals before alerts are

Qualifications

• Strong hands-on experience with OpenTelemetry instrumentation.
• Experience developing in both Node.js/TypeScript and GO
• 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.

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

OpenTelemetry instrumentation

Node.js/TypeScript

Go

Observability

Distributed systems

Cross-team PRs

AI-assisted development tools

Telemetry data quality

Metric validation

Data-driven analysis

Tools

Kubernetes

Helm

GraphQL

OpenTelemetry

Grafana

Okta

Claude Code

GitHub Copilot

Job 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 Node.js/TypeScript and GO
• 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
• Commercial experience with GoLang
• SLO-based monitoring and alerting
• Healthcare or other regulated environments
• SRE or platform engineering experience
• Okta and observability platform access
• AI-assisted engineering is a standard part of the development workflow.