In-Demand Python developer Jobs in Glen Waverley Vic

Security Engineer II, AWS Security Corporate Response
Amazon Corporate Services Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Bachelor's degree
- Scripting
Oracle Billing and Revenue Management (BRM) Developer
Capgemini —Melbourne VIC
- Hybrid work
- Management
- AWS
- Agile
Senior Platform Engineer
Mecca Brands Pty Ltd —Richmond VIC
- Full-time
- Azure
- Management
- Computer Science
Senior QA Engineer (Automation, Python), Trading Technologies
Binance —Melbourne VIC
- Full-time
- Remote
- Software development
- APIs
- AI
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7d
Senior AI Engineer, Data Science
Future Secure AI —Melbourne VIC
- Doctoral degree
- Master's degree
- Software development
Quick Apply
Support Engineer, Region Services
Amazon Support Services Pty Ltd —Melbourne VIC
- Full-time
- Software troubleshooting
- AWS
- Bachelor's degree
6d
Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- CRM software
- AWS
- Presentation skills
Technology Lead
Domain Group —Cremorne VIC
- Azure
- Computer Science
- DevOps
Senior DevSecOps Engineer
Bupa —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Scripting
Sr. Forward Deployed Engineer
Databricks —Melbourne VIC
- SQL
- APIs
- AI
Senior Product Data Engineer
Gridsight —Melbourne VIC
- Full-time
- Hybrid work
- AWS
Quick Apply
Platform Engineering Lead
Thales —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- AWS
- Parental leave
13d
Senior Automation QA Engineer / SDET (Python)
Binance —Melbourne VIC
- Full-time
- Hybrid work
- APIs
- AI
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4d
Sr Security Engineer, Region Services
Amazon Web Services Australia Pty Ltd —Melbourne VIC
- Full-time
- AWS
- Scripting
- AI
- Health insurance
- Employee assistance program

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Security Engineer II, AWS Security Corporate Response

Amazon Corporate Services Pty Ltd -
Melbourne VIC

Apply Now

Job Details

Full-time

Qualifications

TCP
AWS
Bachelor's degree
Network protocols
Scripting
DNS
HTTPS
AI
Log analysis
SDLC

Full Job Description

DESCRIPTION

AWS Corporate Security Response is looking for a Security Engineer who thrives at the intersection of hands-on incident response and intelligent automation. You must think like both an attacker and a defender — understanding adversary tradecraft to detect, investigate, and disrupt threats across Amazon's corporate infrastructure at massive scale.

You'll investigate active threats — malware campaigns, phishing attacks, credential compromise, and novel attack patterns — while simultaneously shaping an agentic investigation platform that scales our response capability beyond what any human team could achieve alone.

You will independently lead security investigations from detection through containment and remediation. You'll extract IOCs, perform host forensics, scope impact across multiple data sources, check for lateral movement, and drive security issues to resolution — documenting every step as the investigation unfolds. You'll also serve as a demanding customer and quality owner of our AI-powered investigation platform, authoring the investigation user stories that define how autonomous agents analyze threats, designing the guardrails that keep them safe, and validating that automated output meets the same standard a skilled human investigator would produce.

When you identify gaps in our capabilities, you won't wait — you'll quickly design and build tooling that enables programmatic automation at scale, then feed those patterns into the next generation of autonomous investigation.

Key job responsibilities

Lead Sev2 security investigations end-to-end: acknowledge, investigate with depth (not speed), document as you go, and own through resolution
Triage Sev2 candidates — promote decisively when indicators are clear, downgrade with documented rationale when they're not
Analyze open source threat intelligence — these reports contain temporal IOCs that decay with age, making rapid validation and proactive blocking critical
Author and validate agent investigation user stories, ensuring autonomous investigations match human-quality rigor
Design and test guardrails and policies — think about how attackers would evade detection, how edge cases produce incorrect results, and how agents might fail in ways developers didn't anticipate
Build tactical scripts, detection rules, and response automations that address immediate operational gaps — then drive their transition into scalable agentic capabilities
Participate in a global on-call rotation: own the queue for your shift, monitor operational health, and maintain readiness
Execute clean shift handoffs: document active investigations, flag anomalies observed during your shift, and explicitly transfer ticket ownership

About the team
CorpSec Response operates 24/7 as a global, follow-the-sun team protecting Amazon's corporate infrastructure. We combine deep human expertise with leading autonomous investigation capabilities. Our engineers are hands-on investigators who also shape the AI systems that augment their work — creating a unique feedback loop between human security expertise and machine-scale automation.

Inclusive Team Culture
We are committed to building a diverse and inclusive team. Amazon's culture of inclusion is reinforced within our Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work-Life Balance
We value sustainable performance. Our follow-the-sun model means you're not carrying a pager 24/7 — your node owns its shift, and clean handoffs are a core operational discipline.

Growth and Impact
This role offers a rare combination: hands-on technical security work at massive scale, leadership of a high-performing team, and direct influence over an AI-augmented security platform. You'll grow as both a security practitioner and a technical leader.

BASIC QUALIFICATIONS

3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
2+ years of scripting, programming, and security code review in a common programming language (non-internship) experience
2+ years of troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship) experience
Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
Knowledge of industry-based security vulnerabilities and remediation techniques

PREFERRED QUALIFICATIONS

Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
Experience with AWS products and services
Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Apply Now

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python developer jobs in glen waverley vic

Security Engineer II, AWS Security Corporate Response

Oracle Billing and Revenue Management (BRM) Developer

Senior Platform Engineer

Senior QA Engineer (Automation, Python), Trading Technologies

Senior AI Engineer, Data Science

Support Engineer, Region Services

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

Technology Lead

Senior DevSecOps Engineer

Sr. Forward Deployed Engineer

Senior Product Data Engineer

Platform Engineering Lead

Senior Automation QA Engineer / SDET (Python)

Sr Security Engineer, Region Services

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