Data & AI Platform Engineer: Pipelines & AI Tools

Wego.com; Jakarta Pusat; Presencial; IDR 260.000.000 - 360.000.000; Jornada completa

Descripción de la vacante

Wego is seeking a seasoned data/platform engineer to build and operate ingestion systems and runtime infrastructure for analytics and AI tooling. You will own data pipelines, ensure reliable movement from sources, and maintain services running on Kubernetes in cloud environments.

You will collaborate with analysts, data scientists and engineers to identify bottlenecks, improve reliability, and implement end-to-end fixes, with strong emphasis on data quality and operational excellence.

Formación

• 3-8 years of experience in data engineering, platform engineering or related infrastructure work.
• Experience owning ingestion systems in production, including failures, recovery and source schema changes.
• Hands-on experience operating Kubernetes workloads and cloud infrastructure.
• Experience with DevOps practices, automated deployments and infrastructure as code.
• Fluency in Python and SQL, with practical Linux, networking and container skills.

Responsabilidades

• Data ingestion: Build pipelines from APIs, databases and event sources; handle schema changes, incremental loads and change data capture where needed.
• Recovery & data quality: Design retries, deduplication, backfills and replay; monitor freshness and completeness from source to consumer.
• Kubernetes & runtime: Deploy and operate containerized pipelines and services; manage resources, configuration, scaling and recovery with platform teams.
• DevOps & delivery: Use infrastructure as code and automated delivery pipelines; test changes and manage secrets and access.
• Observability & operations: Define metrics, logs and alerts; diagnose incidents and fix recurring failures.
• AI tooling & model services: Build tool and API integrations, agent loops, context and memory, retrieval, prompts and guardrails; support model serving where needed.
• Evaluations: Build test sets, regression checks and monitoring of AI outputs with data scientists.

Conocimientos

Data engineering

Kubernetes

Python

SQL

DevOps

Cloud platforms

Terraform

Docker & Helm

CI/CD

Monitoring & incident diagnosis

AI tooling & model services

API & event systems

Linux networking

Herramientas

Kubernetes

Docker

Helm

Terraform

Descripción del empleo

Wego is seeking a seasoned data/platform engineer to build and operate ingestion systems and runtime infrastructure for analytics and AI tooling. You will own data pipelines, ensure reliable movement from sources, and maintain services running on Kubernetes in cloud environments.

You will collaborate with analysts, data scientists and engineers to identify bottlenecks, improve reliability, and implement end-to-end fixes, with strong emphasis on data quality and operational excellence.