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Software engineer - python + aws - global product

Melbourne
Profusion
Software Engineer
Posted: 28 April
Offer description

Company Overview

* Permanent position within a highly stable, long‐term environment
* High‐trust role combining deep engineering with product thinking

This organisation operates at significant scale in a highly regulated, data‐intensive environment. It builds and runs mission‐critical platforms that underpin investment, advisory, and analytics functions globally. The technology team is known for strong engineering standards, long‐term thinking, and building platforms designed for durability, security, and scale rather than short‐term delivery.

Role Overview

This is a permanent Software Engineer role focused on building, operating, and continuously improving a critical cloud‐native data platform. The position sits at the intersection of engineering, platform reliability, and product ownership. It is a uniquely positioned permanent Software Engineer role with long‐term platform ownership and leadership. The role involves a high‐impact data platform used at enterprise and global scale.

Key Responsibilities

* Designing, building, and maintaining production‐grade cloud services
* Owning complex engineering problems end‐to‐end, from architecture to support
* Delivering scalable, secure solutions within modern cloud‐native environments
* Ensuring platform reliability through strong DevOps, CI/CD, and testing practices
* Contributing to security, access control, and compliance standards
* Producing clear technical documentation and operational runbooks
* Collaborating with global teams across time zones as part of a follow‐the‐sun model

Skills & Experience

* Strong hands‐on experience building and operating cloud‐native applications (AWS)
* Advanced proficiency in Python within production systems
* Experience with modern CI/CD pipelines and DevSecOps practices
* Deep understanding of distributed systems, data platforms, and cloud servicesProven ability to operate independently and own technical outcomes
* Comfortable working in regulated, enterprise‐scale environments
* Clear communicator with strong stakeholder engagement capability
* Product‐oriented mindset, not just feature delivery
* Exposure to investment data platforms, Java, or ML‐adjacent ecosystems is beneficial but not essential

Benefits

* Strong engineering culture with high trust and autonomy
* Opportunity to influence architecture, standards, and platform direction
* Supportive, collaborative environment with realistic delivery expectations
* Wonderful remuneration and perks on offer
* Hybrid working model and strong work‐life balance

EEO Statement

Profusion respect people, value diversity and are committed to equality. We are committed to providing a supportive culture and positively contributing towards creating diverse and inclusive workplaces for our candidates & clients. We invite candidates of all ages, genders, sexual orientation, cultural backgrounds, people with disability, neurodiverse individuals, and Indigenous Australians to apply.

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