DevOps Engineer
At MAPID, we develop innovative geospatial products and solutions. Every seamless deployment, every reliable platform, and every scalable system starts with a strong foundation. As our products and technology continue to grow, we're looking for DevOps Engineer to help build and maintain that foundation.
Tentang Peran Ini
At MAPID, we develop innovative geospatial products and solutions. Every seamless deployment, every reliable platform, and every scalable system starts with a strong foundation. As our products and technology continue to grow, we're looking for DevOps Engineer to help build and maintain that foundation.
This is where you come in.
As our DevOps Engineer, you will play a key role in building, automating, and optimizing the cloud infrastructure and CI/CD pipelines that support MAPID's platforms. You will help ensure our systems remain reliable, secure, scalable, and ready to support both our Retail mass-platform and Enterprise deployments.
Tanggung Jawab
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Architect, monitor, and optimize cloud infrastructure to ensure high availability, scalability, and system resilience.
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Build and manage CI/CD pipelines to enable safe, fast, and reliable code deployment.
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Automate infrastructure provisioning, configuration, and management using relevant automation tools.
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Manage containerized applications using Docker and Kubernetes.
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Implement and maintain cloud security protocols, encryption standards, monitoring, backup, disaster recovery, and failover strategies.
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Continuously evaluate tools and technologies to improve infrastructure, deployment processes, and operational efficiency.
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Support the core cloud infrastructure and deployment pipelines across both Retail mass-platform and Enterprise deployments.
Proses Rekrutmen
RINGKASAN PEKERJAAN
Departemen
Engineering
Tipe Pekerjaan
Fulltime
Sistem Kerja
WFO
Lokasi
Bandung, Jawa Barat
Tenggat Waktu
18 September 2026
Peluang Terkait
Lihat Semua
Developer
Engineering, GIS, product & infra
Bisnis
Sales, BD & partnership
Company
Keuangan, akuntansi & treasury
Data
Analytics, ML & data engineering
