Senior Cloud & Analytics Platform Engineer

Macquarie Group; Houston (TX); Hybrid; USD 150,000 - 210,000; Full time

Benefits offered by this job

Wellbeing leave

Annual leave 25 days

Parental leave 20 weeks

Volunteer leave & matching

Health insurance

Life insurance

401(k)

Hybrid work

Home‑office equipment stipend

Job summary

Macquarie Group is seeking an experienced software engineer to design, build and operate a scalable distributed compute and data‑science platform powering our Commodities and Global Markets analytics and trading workflows.

You will automate infrastructure with Python, Java or Scala, collaborate with quantitative analysts and traders, and apply cloud‑native architectures using AWS, Kubernetes and IaC tools to enable rapid delivery and innovation.

Qualifications

• Advanced software engineering experience in Python, Java or Scala for production‑grade distributed compute and data science platforms.
• Experience with cloud engineering (AWS, Kubernetes) and IaC tools (Terraform, CloudFormation, Helm).
• Experience with modern engineering practices including CI/CD pipelines, Git workflows, Linux administration and networking.
• Knowledge of analytics and AI technologies (Airflow, Dask, JupyterHub, LLMs, AI frameworks).
• Excellent communication and stakeholder management with cross‑functional partners.

Responsibilities

• Design, build and run the distributed‑compute and data‑science platform powering trading and analytics workflows.
• Automate infrastructure and deployment using Python, Java or Scala.
• Collaborate with quantitative analysts and traders to translate research into production solutions.
• Leverage open‑source frameworks and cloud‑native services for scalable, resilient systems.

Skills

Python/Java/Scala

AWS/Kubernetes

CI/CD & Linux

Analytics/AI tooling

Stakeholder mgmt

Tools

Terraform

CloudFormation

Helm

Bazel

Git workflows

Job description

Macquarie Group is seeking an experienced software engineer to design, build and operate a scalable distributed compute and data‑science platform powering our Commodities and Global Markets analytics and trading workflows.

You will automate infrastructure with Python, Java or Scala, collaborate with quantitative analysts and traders, and apply cloud‑native architectures using AWS, Kubernetes and IaC tools to enable rapid delivery and innovation.