Correlation & Causality Engineer — AI-Driven Observability

Avaloq

Metro Manila

Ibrido

PHP 900.000 - 1.300.000

Tempo pieno

10 giorni fa

Una candidatura completa in un minuto

Curriculum e lettera di presentazione personalizzati, pronti da inviare.

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Vantaggi offerti da questo lavoro

Hybrid work model
Flexible working hours

Descrizione del lavoro

Avaloq, a Switzerland-based wealth-management technology leader, seeks a Correlation and Causality Engineer to design AI-powered observability solutions. You will turn logs, metrics and traces into actionable insights using Java and Python, and deploy robust services in a containerized environment.

Collaborate with DevOps, SRE, product and operations teams to ensure incident prevention and reliable performance. Hybrid work and flexible schedules are offered in a diverse, inclusive culture.

Competenze

  • Bachelor’s degree or equivalent experience in CS/engineering/data science.
  • Strong programming skills in Java and Python with solid software design practices.
  • Proven experience building data-driven models and AI-based solutions, incl. LLM tooling.

Mansioni

  • Design and implement correlation, root-cause analysis and inference solutions linking events, metrics, logs and traces.
  • Develop data-driven models and evaluate them for production readiness.
  • Build and maintain AI/LLM-based solutions and tools on on-prem or containerized platforms.
  • Collaborate with DevOps, SRE, product and operations teams to deliver reliable insights.

Conoscenze

Java
Python
AI/ML
LLMs
Grafana
Prometheus
Kubernetes
Docker
OpenTelemetry
Data analysis

Formazione

Bachelor’s degree in Computer Science, Engineering, Data Science or a related field

Strumenti

Git
GitLab/GitHub
Jenkins
LangChain
Ollama
Terraform

Descrizione del lavoro

Avaloq, a Switzerland-based wealth-management technology leader, seeks a Correlation and Causality Engineer to design AI-powered observability solutions. You will turn logs, metrics and traces into actionable insights using Java and Python, and deploy robust services in a containerized environment.

Collaborate with DevOps, SRE, product and operations teams to ensure incident prevention and reliable performance. Hybrid work and flexible schedules are offered in a diverse, inclusive culture.

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