Senior Data & AI DevSecOps Engineer (AWS)

PT Synpulse Indonesia Management Consulting; Kebayoran Baru; On-site; IDR 446,400,000 - 781,200,000; Full time

Job summary

Synpulse is seeking a Data/AI DevSecOps Engineer to design, implement, and maintain secure, scalable data and AI platforms on AWS with Terraform, Ansible, and CI/CD pipelines. Azure experience is a plus.

You will collaborate with engineering teams to integrate AI and data workflows into production systems with strong security and governance. Responsibilities include deploying Databricks workloads, managing Kubernetes/EKS/AKS, and building observability with Datadog and CloudWatch.

Qualifications

• 7+ years in DevOps/DevSecOps or Data platform development.
• 1–2+ years of experience in AI engineering.
• Strong AWS expertise; Azure experience is a plus.

Responsibilities

• Design, deploy, and maintain data and AI solutions on AWS, including Databricks.
• Build, manage, and optimize CI/CD pipelines and GitOps workflows for cloud workloads.
• Implement infrastructure as code (Terraform, Ansible) and manage containerized apps (Kubernetes).
• Configure cloud-hosted apps, IAM, SSO, RBAC, and enforce security/compliance standards.
• Automate tasks using scripting (Python, Bash, PowerShell) and AWS Lambda/GitHub Actions.
• Monitor and optimize infrastructure with Datadog, CloudWatch for cost-efficiency and performance.
• Establish governance, compliance, and security policies across data, AI, and cloud environments.
• Evaluate new tools/tech to improve efficiency and reliability.
• Serve as SME for complex cloud, AI, data issues and guide teams.

Skills

DevOps

DevSecOps

Cloud Engineering

Data Platform Development

AI Engineering

Tools

Databricks

Kubernetes

Terraform

Ansible

CI/CD

GitOps

Python

Bash

PowerShell

Datadog

CloudWatch

Job description

Synpulse is seeking a Data/AI DevSecOps Engineer to design, implement, and maintain secure, scalable data and AI platforms on AWS with Terraform, Ansible, and CI/CD pipelines. Azure experience is a plus.

You will collaborate with engineering teams to integrate AI and data workflows into production systems with strong security and governance. Responsibilities include deploying Databricks workloads, managing Kubernetes/EKS/AKS, and building observability with Datadog and CloudWatch.