Principal Software Engineer (Cloud Network and AI Security) Job at Palo Alto Networks (Santa Clara)

Principal Engineer

The Principal AI/ML Operations Engineer leads the architecture, automation, and ...

Location

United States , Pleasanton, California

Salary:

251000.00 - 314500.00 USD / Year

BlackLine

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field
10+ years in ML infrastructure, DevOps, and software system architecture
4+ years in leading MLOps or AI Ops platforms
Strong programming skills in languages such as Python, Java, or Scala
Expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn) and orchestration tools (Airflow, Kubeflow, Vertex AI, MLflow)
Proven experience operating production pipelines for ML and LLM-based systems across cloud ecosystems (GCP, AWS, Azure)
Deep familiarity with LangChain, LangGraph, ADK or similar agentic system runtime management
Strong competencies in CI/CD, IaC, and DevSecOps pipelines integrating testing, compliance, and deployment automation
Hands-on with observability stacks (Prometheus, Grafana, Newrelic) for model and agent performance tracking
Understanding of governance frameworks for Responsible AI, auditability, and cost metering across training and inference workloads

Job Responsibility

Define enterprise-level standards and reference architectures for ML-Ops and AIOps systems
Partner with data science, security, and product teams to set evaluation and governance standards (Guardrails, Bias, Drift, Latency SLAs)
Mentor senior engineers and drive design reviews for ML pipelines, model registries, and agentic runtime environments
Lead incident response and reliability strategies for ML/AI systems
Lead the deployment of AI models and systems in various environments
Collaborate with development teams to integrate AI solutions into existing workflows and applications
Ensure seamless integration with different platforms and technologies
Define and manage MCP Registry for agentic component onboarding, lifecycle versioning, and dependency governance
Build CI/CD pipelines automating LLM agent deployment, policy validation, and prompt evaluation of workflows
Develop and operationalize experimentation frameworks for agent evaluations, scenario regression, and performance analytics

What we offer

short-term and long-term incentive programs
robust offering of benefit and wellness plans

Fulltime

Principal Machine Learning Engineer

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Fluency in at least one modern object-oriented programming language (preferably Java/Kotlin and Python)
Understanding of Machine Learning project lifecycle/tools along with prompt engineering
Experience in architecting and implementing high-performance RESTful microservices
Experience building and operating large scale distributed systems using Amazon Web Services (S3, Kinesis, Cloud Formation, EKS, AWS Security and Networking)
Experience with leveraging LLMs effectively and optimizing model usage on GPUs
Experience with Databricks or Apache Spark
Experience with Continuous Delivery and Continuous Integration

Job Responsibility

Regularly tackle the largest and most complex problems in the team, from technical design to launch
Work closely with Product, Engineering and Design leads in Jira AI, and translate their requirements into solid engineering deliverables, delegating work to the teams
Deliver solutions that are used by other teams and products
Follow a Product Engineer mindset by building features that are data-driven and customer-centric, fostering that culture within the Jira AI group
Exceptional problem solving ability using ML, AI and core software engineering
Routinely tackle complex architecture challenges and define architectural standards
Actively contribute to the code delivery through leading code reviews & documentation, direct contribution and fixing complex bugs in high-risk surface areas
Expertise in data analysis, statistical methods, and logical reasoning to inform data-driven decision-making
Partner across engineering teams to take on company-wide initiatives spanning multiple projects
Mentor junior members on the team

What we offer

Atlassians can choose where they work – whether in an office, from home, or a combination of the two
Atlassians have more control over supporting their family, personal goals, and other priorities

Principal Security Engineer

As a Principal Security Engineer, you will help shape how security is built into...

Location

United States

Salary:

160200.00 - 269400.00 USD / Year

Zillow

Expiration Date

Until further notice

Requirements

7+ years of security engineering experience, including strong experience in application security and ownership of complex security outcomes
experience driving or owning AI security initiatives and assessing or mitigating risks in AI- or LLM-enabled systems
experience leading advanced security assessments across modern applications, cloud infrastructure, and AI-enabled systems
strong understanding of common vulnerability classes, secure software development practices, and threat modeling
hands-on experience securing cloud-native environments, especially AWS, and designing secure system or cloud architectures
can read, write, and review code in at least one modern programming language
communicates security risks clearly to both technical and non-technical partners and can influence decisions without formal authority
experience mentoring engineers and helping raise the technical bar across a team or organization

Job Responsibility

Lead security assessments for high-impact applications and services, including threat modeling, secure design reviews, and penetration testing
Identify, validate, and prioritize complex vulnerabilities across web applications, APIs, and cloud-native services, and partner with engineers to drive secure-by-default outcomes
Strengthen the security of primarily AWS-based environments, with additional exposure to GCP and Azure, across areas such as identity, networking, data protection, and service integrations
Drive AI security initiatives by establishing guardrails, review practices, and secure design patterns for AI-enabled features and systems
Assess AI-specific risks, including data exposure, misuse, model abuse, prompt-based attacks, and unintended system behavior
Develop and promote scalable application and AI security standards, best practices, and guardrails across teams
Improve application and AI security tooling through configuration, integration, and ongoing optimization in partnership with engineering and platform teams
Mentor and influence engineers across teams, raising the technical bar and helping embed security into the way Zillow builds and ships software

What we offer

equity awards

Fulltime

Principal Software Engineer, AI Cloud

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

Location

United States , Seattle

Salary:

232000.00 - 319000.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff or Principal level)
Proven experience designing and building highly scalable distributed systems in production environments
Deep understanding of cloud infrastructure (AWS, Azure, GCP, or OCI), including compute, networking, and storage primitives
Proficiency in Go, Rust, or Java
Expertise in Kubernetes, microservices, and service mesh architectures
Strong foundation in observability, CI/CD, and infrastructure-as-code (Terraform, Pulumi, or CloudFormation)
Experience operating high-availability (99.99%+) production systems
Exceptional communication skills and ability to influence across technical and business domains
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Job Responsibility

Define and drive the long-term technical strategy for Docker AI Cloud’s control and data plane services
Architect highly available, multi-region systems capable of operating seamlessly across multiple cloud providers
Design APIs and service abstractions that integrate Docker Desktop, Hub, and enterprise cloud services
Establish standards for reliability, scalability, and observability across the Docker AI Cloud platform
Lead cross-functional technical discussions and influence architectural decisions company-wide
Design and implement distributed systems for workload orchestration, service discovery, and lifecycle management
Build and operate control plane components that manage multi-tenant workloads and cloud networking
Develop infrastructure that delivers predictable performance, intelligent scaling, and automated failover
Ensure security, data integrity, and compliance across Docker’s global infrastructure footprint
Partner with platform and product teams to deliver developer-friendly APIs and cloud experiences

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

Cloud Solution Architect

We are looking for a Cloud Solution Architect (CSA), specializing in Security & ...

Location

Jordan , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
OR equivalent experience
experience working in a customer-facing role (e.g., internal and/or external)
experience working on technical projects
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)
Azure and Cloud Security Engineering
Infrastructure, Databases, Networking, Virtual Machines Security Secrets and Keys security practices
Azure Identity (service principals - managed identities)
Troubleshooting of data logging and audit, security monitoring
Azure Governance and Compliance (Azure policies)

Job Responsibility

Drive positive Customer Satisfaction & become a trusted advisor and be the Voice of Customer to share insights and best practices, connect with Global Security teams at Microsoft, Engineering and Product teams to remove blockers and influence the solution roadmap
Land an end-to-end value proposition for Security (i.e., Zero Trust) which spans the breadth of Microsoft Security offerings and with focus on Threat Protection, ID + Access Management and Cloud Security as you seek to understand customer requirements and map the adoption and optimization of Microsoft technology solutions accordingly
Position and deliver solutions that drive Security product usage as well as develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments in alignment with the Customer Success Account Manager or other Account Team members
Identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to Microsoft best practices & using repeatable IP and accelerate Business Value of overall Security adoption by improving security posture and ensuring that the solution exhibits “Secure by Design” framework, such as high-performance levels, security, scalability, maintainability, appropriate reusability, and reliability upon deployment
Align individual skilling to team/area demands & Customer Success goals and accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes
Run Architectural Design Sessions to build a plan for implementing the solution – governing design in line with customer business goals and their technical environment. Outcome is consensus on solution design and next steps toward production
Collaborate and orchestrate with others in developing complex end-to-end Enterprise solutions with the Microsoft Security platform and modify and deliver existing intellectual property (IP) or, where applicable, create new content

Fulltime

New

Principal Software Engineer ( Cloud Infrastructure and Platform Engineering )

At Palo Alto Networks, we’re united by a shared mission—to protect our digital w...

Location

United States , Santa Clara

Salary:

Not provided

Palo Alto Networks

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Computer Science or a related technical field, or equivalent experience
9+ years of relevant software engineering experience, with a proven track record of technical leadership and innovation
Demonstrated experience defining and leading large-scale, cross-organizational technical initiatives from concept to completion
Experience building and scaling platforms that serve thousands of engineers in complex environments
Strong foundation in application and infrastructure security, including secrets management, supply chain security, and secure-by-default platform design
Recognized expertise in developer platforms, cloud-native infrastructure, container orchestration technologies (e.g Kubernetes) and CI/CD
Deep proficiency with a major cloud platform (GCP preferred), including IAM, managed databases, networking, and Workload Identity
Experience designing and maintaining Infrastructure as Code (e.g. Terraform) at scale, including module architecture and state management
Expertise in authentication/authorization systems: OAuth 2.0, OIDC, token lifecycle management, and zero-trust patterns
Hands-on experience applying AI/ML/GenAI to solve complex software engineering problems

Job Responsibility

Define the Vision: Architect and own the technical roadmap for AI-enhanced developer tools and infrastructure in CIPE at Palo Alto Networks
Evaluate and Execute Solutions: Lead the design and implementation of novel systems that leverage Large Language Models (LLMs), static/dynamic analysis, and machine learning to create a world-class, intelligent developer experience
Drive Organization-Wide Impact: You are a builder, so you won't just stop at ideation
Lead Cross-Functional Initiatives: Spearhead complex, cross-functional projects that require influencing and aligning multiple engineering organizations and their leadership
Enable Secure Innovation: Develop foundational AI platforms that empower teams to prototype, deploy, and scale threat-intelligent cloud features, embedding Palo Alto Networks' security natively
Serve as Technical Authority: Act as the go-to expert on AI-augmented cloud platforms, mentoring senior engineers and infusing industry-leading practices into our high-stakes ecosystem
Innovate at Enterprise Scale: Address intricate challenges in multi-cloud environments (AWS, Azure, GCP, and OCI) supporting thousands of microservices, secure workloads, and global threat detection pipelines

Fulltime

Principal Group Engineering Manager

Microsoft Specialized Clouds combines the power of edge platforms, devices, and ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

15+ years of professional software engineering experience, including designing, building, and operating distributed, cloud-scale services
5+ years of engineering leadership experience, including managing managers and leading multi-team engineering organizations (M2+)
Deep experience with network device platforms — specifically Arista (EOS, eAPI, CloudVision) and/or Cisco (NX-OS, DCNM/NDFC) — including device programming, configuration management, and automation
Strong background in device programming and network automation — building systems that programmatically configure, validate, and manage network device state at scale
Experience with Azure Resource Provider (RP) engineering — ARM resource modeling, deployment pipelines, control-plane architecture, and resource lifecycle management
Solid understanding of L2/L3 networking fundamentals: spine-leaf architecture, VXLAN, overlay/underlay networking, BGP, and data center network design
Proven ability to set technical direction and architectural strategy for complex platforms spanning multiple components and partner teams
Demonstrated success owning end-to-end delivery of customer-critical services, including design, development, release, and live-site operations
Strong experience driving operational excellence, including reliability, incident management, automation, and cost optimization for production services
Proven track record of leading organizational transformation — such as quality resets, reliability turnarounds, code yellow resolution, or engineering culture change across an engineering org

Job Responsibility

Lead engineering teams through the design, architecture, development, testing, and operations of the Network Fabric platform — the cloud-managed networking layer for Azure Operator Nexus and Azure Local
Drive execution excellence across the full software lifecycle: semester planning, feature delivery, release management, and live-site operations
Own engineering commitments across multiple workstreams including network device programming, Azure Resource Provider development, fabric orchestration, and network configuration management
Ensure services meet Microsoft standards for quality, reliability, security, and operational readiness
Establish and enforce engineering best practices — including test-driven development, automated validation, secure development lifecycle (SDL/SFI), and continuous integration
Continue and accelerate the ongoing engineering transformation: driving quality resets, improving release predictability, and reducing customer-impacting incidents
Own the resolution of code yellow and equivalent quality escalations, driving root cause analysis and systemic remediation across the engineering organization
Champion a culture of engineering fundamentals — ensuring that quality, security, and operational maturity are embedded into every sprint, not treated as afterthoughts
Drive measurable reduction in support costs through automation, improved test coverage, and process optimization
Provide technical leadership across device programming (Arista EOS, Cisco NX-OS), network fabric orchestration, and Azure Resource Provider engineering

Fulltime