<ul><li>We&apos;re building fraud and scam platforms that protect investors.</li><li>You have deep .NET, AWS and distributed systems expertise.</li><li>Together we deliver secure services trusted by millions. </li></ul>Do work that matters: At CommSec, we&apos;re helping more Australians take control of their financial future through secure, intuitive and high-performing digital investing experiences. As a Staff Software Engineer within the Customer Management &amp; Protect - Fraud &amp; Scams Squad, part of the wider Digital &amp; Customer Crew and CommSec Technology domain, you&#x2019;ll lead strategic, end-to-end technology initiatives that help protect customers from fraud and scams at scale. Acting as a backend technical authority and reporting into the Chapter Lead, you&#x2019;ll design and build critical API services and microservices that power secure, reliable and high-performing customer experiences. Working across the full technology lifecycle, from architecture and engineering through to delivery and optimisation, you&#x2019;ll provide technical leadership, shape engineering standards and guide complex solutions that safeguard millions of customer interactions. This is a role where deep .NET and full stack expertise directly translates into real-world impact, helping customers stay protected while driving the future of digital banking. See yourself in our team: The Customer Management &amp; Protect - Fraud &amp; Scams Squad sits within the Digital &amp; Customer Crew and CommSec Technology domain, building the platforms, services and controls that protect customers from fraud, scams and financial crime. The squad plays a critical role in supporting CommSec, the Group&#x2019;s leading trading platform, helping ensure customers can invest and trade with confidence. Leveraging modern .NET engineering, cloud-native platforms, APIs and microservices, the squad delivers secure, scalable and resilient technology across the full customer journey. By combining real-time detection, prevention and customer protection capabilities with modern engineering practices, the team tackles complex security challenges at scale, safeguarding millions of digital interactions, strengthening customer trust and enabling safe, seamless investing and banking experiences. We&#x2019;re interested in hearing from people who: <ul><li>Have deep expertise in .NET, C# and AWS, with a proven track record of designing, building and operating scalable cloud-native applications.</li><li>Have experience owning the full software delivery lifecycle from ideation and architecture through development, testing, deployment, operations and ongoing support, taking accountability for outcomes in a &quot;you build it, you run it&quot; environment.</li><li>Have designed and delivered large-scale REST APIs, microservices and distributed systems, with a strong focus on scalability, resilience, security and performance.</li><li>Demonstrate strong architectural capability, driving technical decisions and influencing platform, integration and cloud-native solution design across engineering teams </li></ul>Tech Skills We don&apos;t expect you to know everything, but experience in several of the following will set you up for success: <ul><li>Architecture &amp; Design: System design, solution architecture, technical leadership, architecture assessments.</li><li>Back End: C#, .NET, .NET Core, REST APIs, Microservices, Backend Services, Distributed Systems.</li><li>Cloud: AWS (preferred) and/or other cloud platforms is highly valued</li><li>Observability: Monitoring, logging, tracing, alerting, production support and performance analysis.</li><li>Security: Authentication, authorisation, secure API design, secrets management, secure software delivery.</li><li>Front End: React, TypeScript (nice-to-have for full stack contribution).</li><li>Database: SQL, MSSQL, NoSQL databases, persistence and integration patterns.</li><li>DevOps: CI/CD, Docker, Kubernetes, automation and deployment practices.</li><li>Engineering Practices: Automated testing, performance optimisation, reliability, operational readiness and ownership.</li><li>Other: Java considered if the candidate is willing to transition into .NET. </li></ul>If you&apos;re already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you&apos;ll need to apply through Sidekick to submit a valid application. We&#x2019;re keen to support you with the next step in your career. We&apos;re aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 03/10/2026

Staff Software Engineer - .NET Full Stack

TECHNICAL LEAD / PRINCIPAL ENGINEER / HANDS-ON ARCHITECT - DATA ENGINEERING (PLATFORM &amp; INFRASTRUCTURE)Sydney, NSW (on-site) | Full Australian working rights required - we&apos;re unable to progress candidates without them.You&apos;ve built a Databricks and AWS data platform from nothing before: medallion architecture, Delta Lake, real pipelines and real tradeoffs, not a diagram someone else handed you. If that&apos;s familiar, keep reading. Sydney-based, Technical Lead through to Hands-on Architect, genuinely hands-on at every level.SEEK SELLING POINTS<ul><li>You&apos;ve built a platform from nothing before. This role needs that again.</li><li>Haven&apos;t led a team yet? If you&apos;re ready to, this is where you start.</li><li>Join a 500+ strong data and AI practice, backed by tier-one vendor alliances.</li></ul>ABOUT THE CLIENTA top-tier global professional services firm delivering large-scale data and AI transformation programs for major enterprise and government clients across Australia. This is deep, complex platform and infrastructure build work, not light analytics or reporting. You get total ownership of the platforms you build, structured investment in advanced technical training, and direct access to the vendors behind the stack, not just a licence and a support ticket.ABOUT THE TEAMYou&apos;d be joining a data and AI practice of 500+ specialist practitioners nationally, sitting inside tier-one vendor alliances spanning AWS, Databricks, Google Cloud, dbt Labs, Snowflake, Salesforce and Informatica. The programs here run at genuine scale: think large transport-network digital twin builds, national-scale public health rollout automation, and sustainability data initiatives delivered across Australia and the wider region. Career development is coaching-led, with benefits including dedicated wellbeing leave, paid volunteering and market-leading parental leave.ABOUT THE ROLEIf you&apos;ve built a data platform from the ground up before, you already know the difference between that and being handed one to extend. This is the first kind. You&apos;ll be designing and building end-to-end Databricks Lakehouse platforms including medallion architecture, batch and streaming pipelines, and Delta Lake at the core, backed by AWS (Glue or Redshift), not a single layer someone else designed around you.How much of that you own depends on where you sit, and leadership experience isn&apos;t a prerequisite at every level. As a Technical Lead, you might already be leading a team, or you might be ready to step into that for the first time with real support behind you. As a Principal Engineer or Hands-on Architect, you&apos;re setting technical direction and coaching engineers through the complexity yourself. Either way, you own the platform, not a slice of it.DUTIES<ul><li>Architect end-to-end Databricks Lakehouse platforms, including medallion architecture, on AWS (Glue or Redshift).</li><li>Design and build batch, streaming and real-time pipelines feeding AI and advanced analytics workloads.</li><li>Own distributed systems performance: Spark tuning, query optimisation, and cost and cluster right-sizing at scale.</li><li>Improve CI/CD, infrastructure as code (Terraform) and automated deployment practice across the platform.</li><li>Technical Lead level: own delivery of your components directly, whether you&apos;re already leading others or ready to step into that for the first time.</li><li>Principal Engineer / Hands-on Architect level: set technical direction across the build and coach engineers through the complexity, not just review their output.</li><li>Get direct access to advanced vendor training and close working relationships with the platform partners behind the stack.</li></ul>REQUIREMENTS<ul><li>Proven experience building data platforms end to end, infrastructure through to data lake, not one layer in isolation.</li><li>Deep hands-on Databricks and Delta Lake, including medallion architecture and PySpark or Scala, with AWS (Glue or Redshift at minimum).</li><li>Advanced SQL and performance tuning across distributed systems, with real Spark and cloud troubleshooting experience.</li><li>Databricks certifications (Certified Data Engineer / Certified Professional) and AWS certifications highly regarded, not mandatory.</li><li>Technical Lead level: strong individual delivery on complex builds. Prior leadership experience is valued but not required, clear potential to lead is enough.</li><li>Principal Engineer / Hands-on Architect level: demonstrated ownership of technical direction and coaching engineers through delivery, not just managing tickets.</li><li>Comfortable in genuine ambiguity on large, complex programs, not tightly scoped analytics or reporting projects.</li><li>Full Australian working rights required. We are unable to progress applications without them.</li></ul>HOW TO APPLYIf the platforms you&apos;ve built, or are ready to lead, are the reason people call you when things go wrong, we should talk.Send me your CV!!KEY SKILLSDatabricks, Delta Lake, Apache Spark, PySpark, Scala, Medallion Architecture, AWS, Glue, Redshift, Terraform, CI/CD, Data Engineering, Data Architecture, Data Platform, Data Lake, Sydney.A note from the consultant running this search: I&apos;ve placed engineers into this practice who came in as builders and ended up leading their own workstreams within a year. The ones who thrive aren&apos;t chasing a title, they&apos;re chasing the platform work that&apos;s actually hard. If your CV reads like tidy dashboards and light reporting, this isn&apos;t your role. If it reads like you&apos;ve fought with Spark cluster configs at 11pm and won, let&apos;s talk. Desired Skills and Experience Databricks, AWS, Glue, Redshift, Snowflake, Data Engineering, Data Platform, Data Infrastructure, Data Lakes, Technical Lead, Principal Engineer, Architect, Cloud, Spark, Delta Lake, Lakehouse, ETL, Pipeline Engineering, Sydney, Australia

Senior Data Engineer / Data Architect - Databricks & AWS

About the RoleWe are looking for an experienced Principal AI Consultant / AI Architect to drive enterprise AI transformation for a leading banking client. This is more than a hands-on AI engineering role&#x2014;it requires a consultative mindset, strong leadership, and the ability to engage with business stakeholders, define AI strategy, and help customers adopt AI solutions at scale.The ideal candidate will have 10+ years of AI/ML experience, with deep expertise in Generative AI, LLMs, RAG, Agentic AI, and enterprise AI architectures, along with proven experience implementing AI solutions that deliver measurable business outcomes.This role also requires someone who understands how to position, pitch, and sell AI initiatives, working closely with business leaders to identify opportunities, define ROI, and build AI transformation roadmaps. Key Responsibilities<ul><li>Lead enterprise AI transformation initiatives for banking and financial services clients.</li><li>Engage with CXOs, business stakeholders, and technical teams to identify high-value AI use cases.</li><li>Design, develop, and deploy enterprise-grade AI/ML and Generative AI solutions.</li><li>Architect scalable AI platforms leveraging LLMs, Agentic AI, RAG, vector databases, and enterprise knowledge systems.</li><li>Drive AI strategy, roadmap definition, and AI adoption across multiple business functions.</li><li>Collaborate with cross-functional teams to translate business challenges into AI-driven solutions.</li><li>Build AI solution proposals, conduct client workshops, and contribute to AI Go-to-Market (GTM) initiatives.</li><li>Present AI capabilities, business value, and ROI to executive stakeholders.</li><li>Mentor engineering teams and establish AI engineering best practices.</li><li>Optimize AI models for scalability, governance, security, and Responsible AI compliance.</li><li>Stay current with emerging AI technologies and industry trends.</li></ul> Mandatory Skills<ul><li>10+ years of AI/ML Engineering or AI Solution Architecture experience.</li><li>Strong expertise in:</li><li>Generative AI</li><li>Large Language Models (LLMs)</li><li>Retrieval-Augmented Generation (RAG)</li><li>Agentic AI / AI Agents / Multi-Agent Systems</li><li>Prompt Engineering</li><li>AI Orchestration Frameworks</li><li>Deep understanding of enterprise AI architectures beyond RAG and MCP, including:</li><li>Fine-tuning LLMs</li><li>Graph RAG</li><li>AI Agents</li><li>Knowledge Graphs</li><li>Model Evaluation &amp; Guardrails</li><li>AI Governance</li><li>Strong programming skills in Python, Java, or R.</li><li>Experience with TensorFlow, PyTorch, Scikit-learn, LangChain, LangGraph, AutoGen, CrewAI or similar frameworks.</li><li>Experience deploying AI solutions on AWS, Azure, or Google Cloud.</li><li>Strong understanding of MLOps, CI/CD, model deployment, monitoring, and AI lifecycle management.</li><li>Excellent knowledge of software engineering principles, distributed systems, APIs, and cloud-native architectures.</li></ul> Preferred Skills<ul><li>Banking or Financial Services domain experience.</li><li>Experience implementing AI across business functions such as:</li><li>Customer Service</li><li>Risk &amp; Compliance</li><li>Fraud Detection</li><li>Operations</li><li>Lending</li><li>Contact Centre</li><li>HR</li><li>Finance</li><li>Strong consulting and stakeholder management experience.</li><li>Experience leading AI discovery workshops and solution design sessions.</li><li>Exposure to Computer Vision, NLP, Speech AI, or Multimodal AI.</li><li>Knowledge of Responsible AI, AI governance, and regulatory compliance.</li></ul> What We&apos;re Looking ForWe&apos;re seeking someone who can demonstrate:<ul><li>Proven experience implementing enterprise AI solutions that deliver measurable business value.</li><li>A strong consulting mindset with the ability to engage senior executives and influence decision-making.</li><li>Leadership experience driving enterprise AI programs from strategy through implementation.</li><li>Experience developing AI business cases, defining ROI, and articulating AI value propositions.</li><li>Strong Go-to-Market (GTM) experience, including AI solution pitching, proposal development, and customer-facing presentations.</li><li>The ability to bridge business and technology while driving AI adoption across enterprise functions.</li><li>Deep AI expertise extending beyond traditional RAG and MCP implementations.</li></ul> When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto&#x2019;s website (https://www.techaalto.com/privacy/)Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

AI Architect

<h3>Who are we?</h3>
At UpGuard, we are replacing manual security bottlenecks with AI-driven precision. Fresh off a US$75M Series C, we are scaling our infrastructure to process 100 billion risk signals daily. This isn’t just growth; it’s a total reimagining of how the world manages cyber risk.
We build the Cyber Risk Posture Management (CRPM) platform that security teams actually love. By integrating security ratings, threat intel, and agentic AI, we empower organisations to stay ahead of an ever evolving attack surface.
We aren’t just building another tool; we’re defining a category. We provide the autonomy to ship world-class technology and the resources to do it at a global scale.
Where does this role fit in?
Build, operate, and strategically evolve the technology platform that enables every UpGuardian to work securely, efficiently, and with minimal friction.
You'll own the hands-on administration and optimization of our core IT stack: identity systems, endpoint engineering, and SaaS platforms. Your main focus will be automating repetitive operational tasks, establishing system performance and compliance metrics, and maintaining a secure-by-default infrastructure.
This is a platform engineering and ownership role above all else, with the added responsibility of serving as the senior escalation point for complex day-to-day issues. We don't want you stuck in a queue, so if you see the same manual task three times and immediately design an automated, self-service fix to permanently remove it, you’ll fit right in.
Security is an outcome of excellent operational engineering here, not the primary function of the role.
What will you do?
Platform, Identity &amp; Fleet Operations
<ul>
<li>
Drive end-to-end shared platform ownership across Google Workspace, Okta, and enterprise MDM (Kandji/Jamf) for our macOS and ChromeOS fleet. You’ll architect robust SSO/SAML integrations, optimize SCIM provisioning, design scalable role hierarchies, and establish proactive OS lifecycle and patching strategies that keep our systems secure by default.
</li>
<li>
Optimise our global joiner-mover-leaver process. Find the steps that still need a human, automate them, and tighten the handoffs with the People Team. Keep asset records and endpoint compliance reporting accurate, and administer the SaaS estate against the governance model.
</li>
</ul>
Zero Trust &amp; Secure Access
<ul>
<li>
Take operational ownership of our Cloudflare Zero Trust environment across ZTNA, Secure Web Gateway, DNS filtering, secure tunnels, and identity and device-aware access policies. Tune policies, and troubleshoot the edge access problems that get escalated past everyone else.
</li>
<li>
Own the migration of remaining internal applications off legacy network access as a workstream, and flag where a control is creating friction that isn't buying us anything.
</li>
</ul>
Automation &amp; Internal Tooling
<ul>
<li>
Build production-grade tooling using REST APIs, Python, Apps Script, and n8n that permanently removes manual work.
</li>
<li>
Propose what should be automated next, based on what you're seeing in the queue.
</li>
</ul>
Service Operations
<ul>
<li>
Take incident command for platform incidents on rota. Coordinate the response, keep people informed, drive to resolution, then write the postmortem and see the actions through to closure.
</li>
<li>
Raise and execute changes through our change process, including risk assessment and rollback. Investigate recurring incidents to root cause and own the resulting problem records.
</li>
<li>
Keep the runbooks, knowledge base, and service catalogue entries accurate for the systems you run. Where you find a gap in the practice, propose the fix and pilot it on your own systems.
</li>
</ul>
Reliability &amp; Self-Service
<ul>
<li>
Own zero-touch provisioning, endpoint compliance enforcement, and fleet health monitoring.
</li>
<li>
Build the self-service options and self-healing behaviour that make routine requests stop reaching the team.
</li>
</ul>
Embedded Security Engineering
<ul>
<li>
Implement and maintain endpoint hardening and baseline configurations, and keep them current. Act as technical responder on security incidents and support the evidence side of audit and compliance work.
</li>
<li>
Design security into platform changes as you make them rather than adding it afterwards. Where you find operational risk, surface it with a recommendation attached.
</li>
</ul>
Raising the Level Around You
<ul>
<li>
Mentor your colleagues on the platforms and tools you know best. Where you fix something, leave documentation behind so the next person doesn't need you.
</li>
</ul>
What will you bring?
You won't have all of this. Tell us which parts you'd be learning, and we'll tell you honestly whether that works.
<ul>
<li>
SaaS &amp; Identity Depth: Several years administering Google Workspace or Microsoft 365 alongside an enterprise IdP (Okta, Entra) and MDM at organisational scale. SSO, SAML, SCIM, DNS, and certificates as things you've configured and debugged.
</li>
<li>
Hands-on Zero Trust Experience: Direct experience configuring and optimising ZTNA, Secure Web Gateways, or modern edge access controls (Cloudflare Zero Trust, Zscaler, Netskope, Tailscale, Entra Private Access). Enough to take operational ownership of a Cloudflare estate and troubleshoot complex edge access issues.
</li>
<li>
Automation Capability: Production-grade scripts or code (Python, Apps Script, Terraform) integrated against REST APIs. Point us at internal tools or pipelines you've built that permanently eliminated operational work.
</li>
<li>
Fleet Management at Scale: Managing macOS at scale, building zero-touch deployment workflows, and enforcing endpoint compliance baselines.
</li>
<li>
Process Optimisation: You've taken a joiner-mover-leaver or similar cross-functional process and measurably reduced the manual steps in it, working with People or HR to do it.
</li>
<li>
Operational Discipline: Experience running incidents, working within a change process, and authoring technical documentation that teams rely on.
</li>
<li>
Security Fundamentals: Endpoint hardening, identity security, and network access controls, with the judgment to make proportionate risk recommendations and know which calls aren't yours.
</li>
<li>
Systems Improvement Instinct: A track record of eliminating classes of problem rather than resolving individual tickets.
</li>
<li>
Independent Judgment: Enough to keep things running for a couple of weeks without your manager, and enough to know which decisions should wait for them.
</li>
</ul>
What's in it for you?
<ul>
<li>
Monthly Lifestyle subsidy: Use this for financial, physical, and mental well-being
</li>
<li>
WFH set-up allowance: To ensure you have the right environment to work in, we will help you get set up within your first 3 months at UpGuard
</li>
<li>
$1500 USD annual Learning &amp; Development allowance: To support your career development, all team members will be able to expense development opportunities against this allowance
</li>
<li>
Annual leave: PTO plus two additional UpGuardian leave days to give you time to recharge your batteries.
</li>
<li>
18 weeks paid Parental Leave: Irrespective of parenting role
</li>
<li>
Personal Leave Allowance: This includes sick &amp; carer’s leave
</li>
<li>
Fully remote working environment: While we have physical offices in Sydney &amp; Hobart, we do not mandate compulsory attendance
</li>
<li>
Top-spec hardware: All team members will be provided with top-spec laptops for their role
</li>
<li>
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work
</li>
</ul>
UpGuard is a Certified Great Place to Work® in the US, Australia, UK and India, establishing its position as a leading global technology employer. 99% of team members agree that UpGuard is a great place to work! Apply now to find out why!
As an Equal Employment Opportunity and Affirmative Action Employer, qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.
Please Note: Not all roles can be performed from the United States. Please check your specific job listing to confirm its advertised location. If the role you are applying for is listed as based in the US, we are currently only able to support hiring in the following locations: CA, CO, FL, IL, LA, MA, MD, MO, OR, PA, TX, WA, and DC.
Before starting work with us, you will need to undertake a national police history check and reference checks. Also, please note that at this time, we cannot support candidates requiring visa sponsorship or relocation.

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