Design, develop, deploy and maintain scalable, high-performance and secure web applications, integrating frontend, backend, cloud infrastructure and AI services.
Responsibilities
Take ownership of end-to-end application development, integrating frontend, backend, cloud infrastructure and AI services.
Design, develop and maintain responsive, accessible and high-performance web applications.
Implement modern frontend architectures with a focus on reusability, scalability and security.
Develop backend services and APIs, ensuring reliability, security and observability.
Ensure adequate automated test coverage and proactively identify and resolve bugs and defects.
Requirements
A degree or diploma in Computer Science, Computer Engineering, Information Technology or a related discipline.
Senior AI Architect providing enterprise-level architecture leadership for AI adoption within the Australian Government.
Compensation
$140 - $160 per hour (inc. super)
Responsibilities
Develop and maintain AI architecture strategy, target architecture, principles, standards, reference architectures, reusable patterns and roadmaps
Translate business, policy, service delivery and ICT requirements into secure, scalable, resilient and supportable end-to-end AI architectures
Assess AI opportunities, platforms, models and tools against strategic alignment, business and public value, feasibility, data readiness, interoperability, cost, risk, performance, supportability and vendor dependency
Define and assure architecture patterns, guardrails and controls across the AI lifecycle for generative AI, large language models, retrieval-augmented generation, machine learning, intelligent automation and emerging AI technologies
Provide architecture assurance and clear advice on options, trade-offs and risks to senior stakeholders and governance forums
Requirements
Relevant tertiary qualifications or recognised certifications in architecture, information technology, artificial intelligence, machine learning, computer science, data science, engineering, cloud or cyber security
Nice to have: Experience delivering AI architecture within the Australian Government or another large, complex and highly regulated environment
A highly technical role focused on conducting security reviews on applications, providing security education to engineers, and handling externally reported vulnerabilities.
Compensation
US base salary range for this full-time position is $170,000-$240,000.
Responsibilities
Serve as an application security subject matter expert who provides guidance to internal teams
Work closely with development teams, perform code reviews, penetration tests, and architectural reviews on existing codes and new features
Develop, implement, and communicate vulnerability mitigation strategies to development teams
Handle externally reported vulnerabilities as a member of Corporate Information Security Responsible Disclosure committee
Drive Fortinet static and dynamic application security testing program
Requirements
BS degree in Computer Science, Cyber Security, or equivalent experience
Lead the vision, strategy, and roadmap for Keysight’s Application and Security Testing product line, driving AI-native security solutions and market positioning.
Compensation
California pay range: MIN $153,090 - MAX $255,150
Responsibilities
Define and own the Application and Security Testing portfolio
Translate customer problems, market trends, and security research into clear requirements, priorities, and success metrics
Drive product evolution to cover AI-native attack surfaces
Lead transition from engineering incubation to scalable, revenue-generating offering
Own full lifecycle: discovery, MVP definition, beta programs, GA launch, continuous improvement
Requirements
Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science or related field
Nice to have: Security testing tools (AI red‑teaming, breach and attack simulation, DAST, SAST, IAST, API testing)
AI Driven Cyber Security Scanning
AI guardrails and safety classifiers; adversarial and red-team testing using OWASP Agentic Top 10, OWASP LLM Top 10 and MITRE ATLAS; MLOps security; model provenance and training-data integrity; SPIFFE/SPIRE identity; OPA authorization; multi-agent trust controls.
AI platforms, LLMs, GenAI agents and MCP; cloud security; secure SDLC and DevSecOps; AWS Security Specialty or equivalent; CISSP/CCSP preferred.
Building GenAI agents; implementing MCP servers; deploying and tuning open-weight models; use of cybersecurity tools for common security functions.
AI platforms, LLMs, GenAI agents and MCP; cloud security; secure SDLC and DevSecOps; OWASP LLM Top 10 and MITRE ATLAS; AWS Security Specialty or equivalent; CISSP/CCSP preferred.
Building GenAI agents; implementing MCP servers; deploying and tuning open-weight models; use of cybersecurity tools for common security functions.
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Senior Product Line Manager (Application & Security Testing)Keysight · Calabasas, US