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Senior Software Engineer, Cloud and Analytics platform at Macquarie Group – Indonesia | Jobyssey

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Senior Software Engineer, Cloud and Analytics platform

Senior Software Engineer, Cloud and Analytics platform

Macquarie Group · Indonesia · 2 weeks ago

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Seniority: Senior
Category: Software engineering

agentic-ai agile ai airflow analytics aws ci-cd cloud cloudformation dask data-science git helm

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Senior Software Engineer at Macquarie Group in Indonesia building and running the Cloud and Analytics platform: production-grade distributed compute and data science platforms in Python/Java/Scala on AWS with Kubernetes and Terraform, plus analytics/AI tooling (Airflow, Dask, JupyterHub, LLMs) supporting quantitative analysts and traders.

Senior Software Engineer, Cloud and Analytics platform

Advanced software engineering expertise in Python, Java or Scala, with experience designing, building and supporting production-grade distributed compute and data science platforms.
Strong cloud engineering capability, including AWS, Kubernetes and Infrastructure-as-Code tools such as Terraform, CloudFormation and Helm.
Experience with modern engineering practices including CI/CD pipelines, Bazel, Git-based workflows, Linux administration and networking.
Knowledge of analytics and AI technologies, including Apache Airflow, Dask, JupyterHub, LLMs, agentic AI frameworks, MCP tools and prompt engineering.
Excellent communication and stakeholder management skills, with a collaborative, inquisitive and agile approach to partnering with quantitative analysts, traders and other business stakeholders
Advanced software engineering expertise in Python, Java or Scala, with experience designing, building and supporting production-grade distributed compute and data science platforms.
Strong cloud engineering capability, including AWS, Kubernetes and Infrastructure-as-Code tools such as Terraform, CloudFormation and Helm.
Experience with modern engineering practices including CI/CD pipelines, Bazel, Git-based workflows, Linux administration and networking.
Knowledge of analytics and AI technologies, including Apache Airflow, Dask, JupyterHub, LLMs, agentic AI frameworks, MCP tools and prompt engineering.
Excellent communication and stakeholder management skills, with a collaborative, inquisitive and agile approach to partnering with quantitative analysts, traders and other business stakeholders

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