DevOps Engineer (Observability Platform)

Các trách nhiệm chính

Job Description

• Plan and execute infrastructure projects that improve observability tools and platforms, including metrics, logging, distributed tracing, dashboarding, alerting, application performance management
• Build and enhance tools, frameworks, and pipelines for monitoring, logging and tracing across VPbank's systems.
• Developing and maintaining systems to enable our engineering colleagues to confidently run their services with high quality, and quickly understand and mitigate any technical issues
• Working with engineering colleagues to contribute to our observability strategy with a strong emphasis on open-source libraries, data formats and query languages
• Work with other stakeholders to integrate observability best practices into the development lifecycle and improve overall system resilience.
• Contribute to on-call rotations
• Join with the team to define and implement observability standards (e.g., SLIs, SLOs, dashboards).
• Partnering with our observability vendors.

Trình độ đào tạo
Đại học in Công nghệ thông tin or Khoa học máy tính

Yêu cầu

Yêu cầu ứng viên

• 3+ years of software engineering experience, focused on platform engineering, observability, or site reliability engineering (SRE)
• Have experience building and operating infrastructure at scale.
• Proficiency in programming languages such as Go, Python, Java, or similar.
• Hands-on experience with observability / monitoring tools like OpenText, Solarwinds, Prometheus, Grafana, Loki, Jaeger, or OpenTelemetry.
• Strong knowledge of distributed systems, microservices architecture, and cloud platforms (e.g., AWS, GCP, Azure).
• Proficiency in CI/CD tools (Jenkins, GitLab, etc.)
• Experience with administering Linux systems and writing scripts to facilitate operation.
• Experience with Infrastructure-as-Code tools like Terraform, Helm, and orchestration languages like Ansible.
• Experience with Data tools: Kafka, Clickhouse, SQL, Redis
• Ability to debug complex systems and design solutions that scale with high traffic and data volumes.