Senior/ Principal Backend Engineer - Data & AI Security Job at Palo Alto Networks (Tel Aviv)

New

Senior/ Principal Backend Engineer - Data & AI Security (Cortex Cloud)

Our engineering team is at the core of our products and connected directly to th...

Location

Israel , Tel Aviv

Salary:

Not provided

Palo Alto Networks Italia

Expiration Date

Until further notice

Requirements

5+ years of hands-on software engineering experience, with deep expertise in at least one of the following: Kotlin/Java, Python, or Go
Experience working with different cloud services on at least one major cloud provider (AWS, Azure, GCP)
Proven experience designing and building large-scale, scalable cloud-based applications
Expertise in microservices architecture, including technologies like Kubernetes, Docker, GKE, EKS, or AKS
Experience with relational or NoSQL databases (e.g., MYSQL, PostgreSQL, MongoDB) and ORMs (e.g., JPA, Hibernate)
Bachelor of Science in Computer Science or equivalent practical experience (e.g., elite software unit in the military)

Job Responsibility

Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise
Design and build highly scalable, resilient, and secure cloud-based applications and microservices
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently

Fulltime

Senior Software Engineer and Principal Software Engineer - Power Point AI Team

The PowerPoint team is embarking on an exciting new chapter - evolving a product...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
8+ years of experience in backend service engineering, including work on high-scale infrastructures
Proficiency in one or more systems programming languages such as C#, C++
1+ years of experience in software engineering, designing and developing systems (and APIs) that deploy and integrate with AI models
2+ years of experience working with rich telemetry, making data driven decisions, and carrying out rapid experimentation
2+ years of experience building software for scale, performance, and reliability
Academic or industry experience with building, finetuning, deploying or building eval-driven systems utilizing the models (any category)

Job Responsibility

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience
Drive technical strategy and architecture decisions across multiple services, influencing partner teams and aligning with compliance and security requirements
Champion modern engineering practices, including AI-driven approaches, automation, and cloud-native patterns, across the full development lifecycle
Mentor and guide engineers, fostering technical excellence and continuous improvement in security, reliability, and performance
Collaborate cross-org to solve challenging technical problems, streamline processes, and reduce operational costs while improving live-site health
Design and implement scalable backend services optimized for machine learning workflows and large language model integration
Develop and maintain evaluation-driven systems that leverage text and multimodal inputs (e.g., images) to power visual-creation experiences
Build and optimize APIs and infrastructure to support high-performance model inference and experimentation at scale
Collaborate with product, ML, and design teams to integrate models into user-facing features, ensuring seamless functionality and performance
Conduct model evaluations and experiments, analyze results, and iterate on improvements to enhance accuracy and user experience

Fulltime

Principal Software Engineer (Backend)

Palo Alto Networks' ADEM (Autonomous Digital Experience Management) group is see...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

12+ years of software engineering experience, with a significant portion dedicated to designing and operating large-scale distributed systems in a cloud-native environment
Advanced AI-Augmented Development: expert in leveraging AI-powered development tools—including Claude Code, Cursor, Windsurf, and GitHub Copilot—to radically accelerate the SDLC and automate complex refactoring and testing workflows
Distributed Systems Mastery: Proven track record of architecting systems that handle billions of events per day with strict sub-second latency requirements using Rust, Go (Golang), Java, or Python
GCP Principal-Level Expertise: Deep authoritative knowledge of the GCP ecosystem (GKE, Spanner, BigQuery, Pub/Sub, Dataflow) and the ability to optimize cloud spend through sophisticated architectural choices (FinOps)
Data Plane Innovation: Experience building high-throughput, low-latency data pipelines using technologies like Kafka, Pulsar, or Flink
Security & Networking Visionary: Deep understanding of Zero Trust architecture, L4-L7 networking, and advanced encryption standards
Open Source & Community: A history of contributing to open-source projects (e.g., Kubernetes, Prometheus, Istio) or speaking at industry conferences is highly desirable
Education: BS/MS/PhD in Computer Science or a related technical field, or equivalent high-level professional experience

Job Responsibility

Technical Strategy & Roadmap: Define the long-term architectural vision for ADEM backend services, ensuring scalability to support hundreds of millions of global endpoints and multi-petabyte telemetry streams
Architectural Governance: Lead the "Design Review Board" for the ADEM org, ensuring that all new services adhere to Secure AI by Design, high-availability patterns, and cost-efficient GCP utilization
AI/ML Integration at Scale: Drive the transition from traditional analytics to Agentic AI workflows, overseeing the backend orchestration required to power LLM-driven autonomous remediation
Cross-Functional Leadership: Partner with Product Management, Data Science, and DevOps to translate ambiguous business requirements into robust, high-performance technical specifications
Engineering Excellence & Mentorship: Act as a force multiplier by mentoring Staff and Senior engineers, fostering a culture of rigorous testing, high code quality, and proactive technical debt management
Crisis Leadership: Serve as the ultimate technical escalation point for complex, systemic production issues, leading post-mortems that drive permanent architectural improvements

What we offer

compensation may also include restricted stock units and a bonus

Fulltime

Senior Software Engineer, AI Developer Tools

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

184600.00 - 260700.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

6+ years building production-grade backend systems or developer-facing tools
Hands-on experience with AI/ML technologies such as practical production experience with LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, or AI agent development
Proficiency in Go (preferred), Rust, Java, or Python with strong software engineering fundamentals
Experience designing and building distributed systems, microservices, or platform infrastructure
Strong understanding of cloud-native systems (AWS, GCP, or Azure), APIs, and data stores
Solid grasp of CI/CD, automated testing, code review practices, and modern development workflows
Product-minded approach to building developer tools with focus on user experience and measurable outcomes
Excellent communication skills in remote, asynchronous environments with ability to document technical decisions clearly
Ownership mentality with bias for action and iterative delivery
Comfortable working autonomously across distributed teams and navigating ambiguity

Job Responsibility

Build AI-Powered Developer Tools: Design, implement, and ship production-ready AI agents and tools that accelerate developer productivity such as code review and refactoring assistants, automated test generators, local environment setup tools, deployment pipeline diagnostic agents, and on-call assistance tools
Implement LLM Integrations: Build robust, production-grade integrations with LLM APIs (OpenAI, Anthropic, etc.) such as prompt engineering, response parsing, error handling, rate limiting, cost management, and performance optimization
Develop Agent Orchestration Systems: Create agent frameworks and orchestration systems that enable complex multi-step workflows, tool calling, context management, and agent-to-agent communication
Contribute to Platform Infrastructure: Build self-service platform capabilities that enable teams across Docker to rapidly deploy and operate their own AI developer tools such as deployment pipelines, observability integration, security controls, and operational tooling
Drive Adoption of AI-Native Development: Build tools and programs that accelerate adoption of AI developer tools such as Claude Code, Cursor, and Warp across Docker's engineering organization
Ensure Production Quality: Write well-tested code with strong test coverage (unit, integration, end-to-end)
establish monitoring, alerting, and operational excellence for AI systems
Collaborate Cross-Functionally: Partner with Principal Engineer on architecture, work with product and design teams on features and UX, and collaborate with platform teams (Infrastructure, Security, Data) on integrations
Participate in Operations: Take part in on-call rotation for AI developer tools
respond to incidents, debug production issues, and drive continuous improvement of system reliability

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

New

Principal Engineer - Technical Lead (Gen AI and MACH Architecture)

At AKQA, we believe in the imaginative application of art and science to create ...

Location

United Kingdom , London

Salary:

Not provided

AKQA

Expiration Date

Until further notice

Requirements

Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments)
AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation
Hands-on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences
AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design
Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape
with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms
GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval
Model fine-tuning: experience customising and fine-tuning existing models for production use cases
including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints
AI cost-value analysis, observability, governance, testing and evaluation frameworks for production systems

Job Responsibility

Designing, building and shipping enterprise-grade systems
Leading the technical direction of complex client programmes across MACH architectures and production Generative AI
Spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation
Owning architecture decisions, writing and reviewing production code, and mentoring engineers
Remaining accountable for what ships, not just what is proposed
Working closely with Technical Managers, cross-discipline teams and on-shore, off-shore and hybrid engineering squads
Occasionally supporting pre-sales scoping or technical pitches

What we offer

Extensive range of benefits (explore at AKQA benefits page)
Hybrid working environment
Equal opportunity employer
Commitment to fostering a culture of respect

Fulltime

Principal AI Ops Architect

Scale’s rapidly growing Global Public Sector team is focused on using AI to addr...

Location

Qatar; United Kingdom , Doha; London

Salary:

Not provided

Scale

Expiration Date

Until further notice

Requirements

6+ years in a high-impact technical role (SRE, FDE or MLOps) with experience in the public sector
Familiarity with international government security standards and the complexities of deploying sovereign AI
Proven experience maintaining production-grade applications with a deep understanding of the full request lifecycle-connecting frontend/API layers to the backend and AI core
Proficiency in coding and the modern AI infrastructure, including Kubernetes, vector databases, agentic development, and LLM observability tools
Ownership: You treat every production deployment as your own. You race toward solving hard problems before the customer even sees them
Reliability: You understand that in the public sector, a model failure may be a risk to public safety or privacy
Customer communication: The ability to explain to a high-ranking official why the performance of the system has degraded and how we are fixing it

Job Responsibility

Own the production outcome: Take full accountability for the long-term performance and reliability of AI use cases deployed across international government agencies
Ensure Full-Stack integrity: Oversee the end-to-end health of the platform, ensuring seamless integration between the AI core and all full-stack components, from APIs to UI, to maintain a responsive and production-ready environment
Scale the feedback loop: Build automated systems to monitor model performance and data drift across geographically dispersed environments, ensuring the right levels of reliability
Navigate global compliance: Manage the technical lifecycle within diverse regulatory frameworks
Incident command: Lead the response for production issues in mission-critical environments, ensuring rapid resolution and building the guardrails to prevent them from happening again
Bridge the gap: Translate deep technical performance metrics into clear insights for senior international government officials
Drive product evolution: Partner with our Engineering and ML teams to ensure the lessons learned in the field directly influence the technical architecture and decisions of future use cases

Lead Java Backend Principal Developer

The Senior Backend Principal Developer (or Applications Development Technology L...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6-10 years of extensive experience in backend software development, with significant experience in architecting and leading complex, large-scale enterprise platforms
Demonstrated experience in a Principal or Lead Developer role, with a strong track record of technical leadership and hands-on contribution
Expert-level proficiency in modern Java backend programming language and associated frameworks
Deep understanding and practical experience with distributed systems, microservices architectures, and RESTful API design
Proven experience with identity and access management (IAM) solutions, including SSO protocols (e.g., OAuth2, OpenID Connect) and fine-grained authorization
Solid experience with cloud-native development principles, containerization (Docker), orchestration (Kubernetes), and Cloud Adoption (GCP and AWS)
Strong knowledge of database technologies, including both relational and NoSQL databases
Exceptional problem-solving and analytical skills, with the ability to tackle ambiguous problems and drive solutions
Excellent communication, presentation, and interpersonal skills, capable of influencing technical decisions and collaborating effectively across diverse teams
Hands-on experience with the other Backend technologies: Unix, Oracle, Any caching solutions and any AI adoption

Job Responsibility

Provide technical leadership and strategic direction for backend development, influencing architectural decisions and technology choices
Design, develop, and maintain high-performance, fault-tolerant backend services and APIs using modern programming languages and frameworks. This includes core components for user authentication, authorization, content routing, and data integration
Lead the definition and evolution of backend architecture, ensuring alignment with principles of scalability, security, reliability, and maintainability in a federated system
Implement and enforce robust security measures, including single sign-on (SSO), centralized entitlements, and adherence to cyber defense standards across all backend components
Optimize backend systems for speed and efficiency, incorporating caching strategies, asynchronous processing, and efficient data access patterns
Architect and implement solutions for integrating diverse Content Provider applications into the unified platform via HTTPS-based interfaces
Mentor senior developers, conduct in-depth code reviews, and champion best practices in software engineering, including design patterns, testing methodologies, and operational excellence
Serve as a subject matter expert for complex production issues, leading root cause analysis and resolution efforts for critical backend services
Partner closely with product management, front-end teams, architects, and infrastructure teams to translate business requirements into technical solutions and deliver features end-to-end
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency

Fulltime

Principal AI Architect

As a Principal AI Architect, you will define and drive the end-to-end Cloud + AI...

Location

United States , Multiple Locations

Salary:

139900.00 - 274800.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
Master's Degree in Computer Science, Engineering or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.
10+ experience in software engineering or solution architecture, with demonstrable success building and operating complex systems.
10+ experience designing, implementing, and optimizing AI solutions encompassing data pipelines, model training and serving, and production MLOps.
10 + years of full-stack development across frontend, backend, and cloud infrastructure, with a proficient command of data engineering, AI/ML systems, and deployment architectures.
2+ project experience with NLP and LLM-based systems.
Proficient coding skills in C#, Python, JavaScript, and React.

Job Responsibility

Own the reference architecture and technical roadmap for WWL’s AI/Agentic platform capabilities (e.g., orchestration, tools/plugins, memory, retrieval, evaluation, observability, governance).
Translate skilling business objectives into platform investments and architectural decisions, balancing speed-to-value with security, compliance, cost, and long-term maintainability.
Establish clear architectural guardrails and decision frameworks (e.g., “build vs. buy,” “Copilot Studio vs. Foundry,” “RAG vs. fine-tune,” “central vs. federated patterns”).
Lead architecture/design reviews for major initiatives
drive alignment on system boundaries, contracts, dependency management, and resiliency.
Define and standardize architecture patterns (multi-tenant SaaS, event-driven architectures, secure data access, model routing, agent safety controls).
Create reusable templates, “golden paths,” and reference implementations to accelerate engineering delivery across teams and reduce fragmentation.
Embed Responsible AI principles into agentic solution design (human-in-the-loop, safety mitigations, evaluation, transparency, and auditability).
Partner with security and compliance stakeholders to ensure services meet required controls and operational standards, and to drive alignment between policy intent and implementation.
Define secure patterns for prompt/data handling, secrets management, identity, and access governance for AI systems.

Fulltime

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Senior/ Principal Backend Engineer - Data & AI Security

Job Description

Job Responsibility

Requirements

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