Senior Application Backend Engineer

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

Job summary

Luxoft Poland is seeking an engineer to join a healthcare data platform team devoted to building client-scoped SLO monitoring and alerting across 110-140 services. The role emphasizes instrumenting applications, telemetry quality, and observability adoption across distributed systems, with AI-assisted development encouraged.

Responsibilities include implementing instrumentation in Go and Node.js/TypeScript, maintaining metrics, supporting Kubernetes/Helm, working with GraphQL APIs, validating

Qualifications

• Strong hands-on experience with OpenTelemetry instrumentation.
• 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.

Responsibilities

• Instrument applications using OpenTelemetry 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

Custom metrics

Observability

Kubernetes

GraphQL

AI-assisted tools

Telemetry quality

Cross-team collab

Tools

Go

Node.js

TypeScript

Helm

Grafana

OpenTelemetry Collector

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.

Mandatory Skills Description

• Strong hands-on experience with OpenTelemetry instrumentation.
• 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 Skills Description

• 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.