Senior Software Engineer (Distributed Systems & AI Platform)

capital executive search • Australia

Remote

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AI Summary

Build scalable, distributed systems and AI-enabled platforms from scratch in a greenfield environment. Design and maintain data pipelines, automation, and developer tooling while collaborating with cross-functional teams. Own end-to-end engineering projects with a focus on reliability, performance, and mentorship.

Key Highlights

Greenfield opportunity to architect and build distributed systems, AI enablement, and developer tooling

Ownership of full software lifecycle from design to production with end-to-end accountability

Collaborate with product, operations, and engineering teams in a hands-on, mentorship-driven culture

Key Responsibilities

Design and build distributed systems that ensure reliability and scalability at enterprise scale

Develop data pipelines, automation workflows, and developer tooling to streamline internal and customer-facing processes

Enable AI capabilities within the platform by integrating machine learning models and data-driven features

Collaborate with product and operations teams to deliver end-to-end solutions for cloud and GPU-based infrastructure

Mentor junior engineers through code reviews, knowledge sharing, and hands-on guidance

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Technical Skills Required

Distributed Systems Cloud & Kubernetes Python

Benefits & Perks

Hybrid work in Sydney or fully remote (Australia-wide)

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Nice to Have

TypeScript

Java

Terraform

Data streaming (e.g., Kafka, Flink)

Monitoring tools (e.g., Prometheus, Grafana)

Job Description

This is a greenfield environment where software engineers will have the opportunity to build systems from the ground up across distributed systems, data engineering, automation, developer tooling, AI enablement and product engineering.

What you’ll do

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