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The Cloud Risk team Cloud Security is looking for a senior engineer to join our growing team working on a transformative initiative .

This role is centered on gathering customers resources and insights from various CrowdStrike cloud products, establishing connections between data sources, and handling large-scale data operations to run comprehensive evaluations and generate actionable posture intelligence.
You'll be responsible for processing vast amounts of customer data to create meaningful conclusions that help customers:

Discover misconfigurations, security risks, and compliance violations in cloud environments

Identify and prioritize security risk issues that require immediate attention

Gain valuable insights into their cloud resources and assets to enable faster, more effective investigations

Understand the potential risks associated with their assets and cloud environment

Make data-driven security decisions based on comprehensive analysis of their environment

Responsibilities include:

Develop ETL jobs to gather data from multiple sources and provide insights into various product areas

Building data warehouses where large amounts of metrics and data will be stored

Interacting with many product groups within the organization to collect key metrics via APIs, Kafka integrations or direct data access

Participation in configuring and receiving uptime alerts related to the services you control.

Keeping services up and running in a healthy state.

We're seeking a Mid to Senior Data Engineer to join our Cloud Identity & Perimeter, a critical component of security infrastructure. Our team develops and maintains complex data pipelines that process billions of records daily, analyzing identity-related security patterns, effective permissions, internet exposure, and attack paths. We're at the forefront of securing enterprise identities and delivering actionable security insights at scale.

What You'll Do:

Design and implement high-performance, distributed data processing pipelines handling petabytes of security data

Architect complex data transformations using Apache Spark for large-scale batch and stream processing

Be part of shaping new products while collaborating with product teams, customers, and sales.

Build and optimize real-time data streaming solutions using Kafka for identity analytics

Develop and maintain scalable ETL processes that handle billions of daily events

Create efficient data models for complex security analytics queries

Collaborate with cross-functional teams to deliver high-impact security features

Optimize query performance and data storage patterns for large-scale distributed systems

Participate in system design discussions and architectural decisions

This is a Software Development Engineer (SDE) role in the engineering team that delivers the sensor (lightweight agent) on various container optimized Linux distros. This role will be part of the team designing and implementing new features in the sensor to secure cloud workloads. The work leverages eBPF and other technologies. These features will extend the power of the Falcon platform to provide seamless visibility, detection, and prevention for container processes running in orchestration environments like Kubernetes.

What You'll Do:

Create and maintain high-performance linux system software components. Analyze complex software features, and build effective test strategies and test designs.

Ensure systems and components reliability and performance through monitoring, testing, and debugging. Debug product issues found through test or customer cases to identify root cause and use the input to improve tests.

Work closely with a team of engineers to support and maintain a culture of high product quality and excellence. Collaborate with cross-functional teams to integrate sensor and cloud solutions. Work collaboratively with product and release management to control risk, improve quality, and streamline our release cycles

Participate in code reviews and provide technical guidance to team members. Participate in engineering best practices, including topics like secure coding, testing paradigms, debugging, performance measurement, code reviews, CI/CD and OS internals, to ensure that our sensor code is fast and reliable

Lead strategic technical initiatives focusing on containers and orchestrators security in both public and private cloud

Other projects as assigned

seeking an experienced Full Stack Engineer to help build and scale our SaaS security platform - with a growing focus on securing modern SaaS and AI-powered application ecosystems.At Valence, we protect organizations from threats created by SaaS and AI sprawl by unifying SaaS discovery, security posture, AI governance, and identity threat detection into a single platform. Youll work on cutting-edge cloud-native systems, helping to deliver solutions that uncover shadow AI apps, detect misconfigurations, and provide robust APIs and interfaces to empower security teams. ‍

Responsibilities
Hands-on end-to-end development of core features across the stack (backend, frontend, cloud services).
Work in a cloud-native environment (Azure) and microservices architecture, writing high-quality, maintainable code
Build robust APIs and UI components from design to full implementation
Improve developer experience (DX), test automation, system architecture, and infrastructure
Participate in peer code reviews, sprint planning, and technical discussions
Own technical challenges around scalability, performance, and secure data flows as the product and user base grow
Engage with emerging areas like AI usage patterns, anomaly detection, API protection, and identity security

We are looking for a hands-on Security Research Team Lead to own and scale our Security Research domain.

This is a foundational role in a small, highly technical team, focused on deep security research, algorithmic thinking, and leveraging AI to turn complex data into accurate, actionable security insights.

This role is not about people management by default - it is about technical leadership, ownership, and building scalable research capabilities that directly impact product and customer security.

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Responsibilities:

Own and lead the Security Research domain through hands-on technical work.
Research security risks in SaaS and business applications, including permissions, identities, and access models.
Design and apply algorithmic approaches to analyze complex data structures and security risk surfaces.
Leverage AI-based techniques to work with large-scale data, improve accuracy, and automate research workflows.
Detect security flaws, misconfigurations, and systemic risks in SaaS environments.
Lead and support complex security investigations and customer-facing incident research.
Work closely with Product and Engineering to translate research findings into scalable product capabilities.
Technically mentor and support a small and growing research team.
Define research priorities and help shape how the team scales over time.

We are looking for NPI Engineer to lead the development, scale‑up, and optimization of ink manufacturing processes. In this role, you will drive process and technology projects, define robust manufacturing procedures, and work closely with R&D and global engineering teams to ensure smooth product introduction into production

Job Responsibilities:

Responsible for ink manufacturing process: own, optimize and improve process performance.

Investigate process and equipment issues through hands-on analysis and root-cause methodologies.

Define new processes & specifications for stable, high-quality production.

Collaborate with R&D, Operations, and Singapore engineering teams to align on processes and technology.

Deliver NPI products, working windows, and manufacturing instructions to the production team, including specifications and procedures.

Ensure engineering deliverables and documentation for new processes meet project specifications.

Lead process problem-solving.

In this role, you will lead process improvement initiatives across existing production lines, ensuring stable, high-quality manufacturing performance.

You will drive process and equipment improvements aimed at increasing yield, strengthening process robustness, and reducing COGS. The role also includes supporting the introduction of new products and manufacturing capabilities.

A key aspect of this position is identifying and resolving production issues through structured problem-solving methodologies. This requires close collaboration with cross-functional teams including Production, Sourcing, Equipment Engineering, Product teams, and R&D to continuously improve processes and enhance product performance.


Responsibilities
Develop and implement innovative solutions to improve manufacturing technologies, performance, and cost efficiency

Identify opportunities to increase production capacity and improve yield and product quality

Establish best practices, methodologies, and routines to support stable and efficient manufacturing processes

Conduct process analysis, yield analysis, and risk assessments to identify improvement opportunities

Lead process upgrades and optimization of existing systems and production workflows

Manage improvement initiatives while balancing cost, timeline, and operational constraints

Create and maintain process documentation, operating procedures, and technical instructions

Collaborate closely with Production, Procurement, vendors, and R&D teams to implement and sustain improvements

This position is ideal for a proactive, hands-on problem solver with a high level of proficiency in mechanical design, capable of independently managing focused engineering tasks and making significant contributions to strategic engineering initiatives.

Job Responsibilities

Provide mechanical and equipment engineering support for NPI and process initiatives, including design inputs, feasibility checks, and implementation guidance.

Lead engineering projects-mechanical improvements, new technologies implementation, equipment adaptations and integration of new process requirements.

Troubleshoot mechanical issues on the production floor, drive structured RCAs, and recommend practical, stable engineering solutions.

Define mechanical requirements and specifications for new or modified equipment, support vendors and internal teams during design, build, and integration.

Contribute to maintenance‑related decisions and projects

Ensure engineering solutions align with safety, ergonomics, and regulatory expectations.

Write clear engineering documentation and communicate constraints, risks, and recommendations.

looking for a Yield Improvement Program Lead to join our global Reverse and Repair team.
This role has significant impact on customer experience and Service P&L, leading technical process improvement initiatives across HP Indigos global Repair Centers, with a clear objective to increase yield, reduce scrap, and improve process robustness.

Key responsibilities

Lead structured, data‑driven initiatives to improve repair Yield and reduce Scrap across global Repair Centers.

Analyze repair performance trends, identify systemic loss drivers, and define targeted improvement actions.

Define and drive Yield improvement roadmaps by part family and technology, aligned with business priorities.

Lead end‑to‑end investigations for recurring failures, chronic low‑yield parts, and abnormal scrap trends.

Drive structured root cause analysis (A3 / 8D / RCA) at component, assembly, and process levels, distinguishing between design, process, handling, installation, and logistics causes.

Identify non‑robust repair and installation steps and drive process simplification and mistake‑proofing.

Improve repair procedures, work instructions, verification steps, and embedded control points to eliminate repeated failures.

Build dashboards and structured reporting to track trends, root causes, and improvement effectiveness, translating data into clear management insights.

Drive cross‑functional alignment with Repair Centers, Quality, R&D, Spare Parts Organization, and Suppliers, leading cross‑site task forces and ensuring corrective actions are implemented, validated, standardized, and sustained.

We are seeking a highly motivated mechanical engineering student to join the R&D section. In this role, you will be involved in a variety of key elements related to design, manufacturing, testing, and analysis.


Responsibilities:

Design and Manufacturing of Parts: Collaborate with the R&D team to create detailed designs for mechanical components and parts.
Testing and Analysis: Assist in performing tests and analyzing data.
JIG Design and Execution: Contribute to the design and execution of various JIGs used in R&D and manufacturing and assembly processes.
Supporting Ongoing R&D Activities: Work closely with senior engineers to support ongoing research and development projects.

We are looking for a strong Data Engineer / Software Engineer who wants to move into Data & AI and thrives in an end-to-end environment. You wont be building models in isolation. Youll join a multidisciplinary team that owns the full lifecycle of our AI Engine- from research ideas, through model serving and optimization, to monitoring and production reliability.
If youre a team-oriented engineer with strong communication skills and a passion for becoming a rockstar in the AI security space, we want you.
What youll do
End-to-End Ownership: from shaping research ideas and experimenting with models, to deploying, optimizing, and maintaining them in production.
Solve Real-World Data Problems: Tackle real-world "data-problems" to improve the reliability and accuracy of our production evaluations.
Optimize Runtime & Inference: Improve latency, throughput, and cost efficiency of our model serving stack. Think in terms of real traffic, constraints, and SLAs.
Staying Scientific: Proactively stay updated on the latest developments in NLP and AI technologies, ensuring our approaches remain at the industry's forefront.

We are looking for an AI Builder to design, build, and maintain agentic AI-driven workflows that streamline and automate internal business processes across the company.
This role focuses on initiating and orchestrating AI agents, integrating them with existing systems, and reducing manual effort across Sales, Marketing, Order Management, Finance, HR, and more.
You will work closely with the Information Systems team and business stakeholders to turn repetitive, human-dependent processes into reliable, AI-powered flows.
This is a hands-on builder role, not a research or pure data science position.
Key Responsibilities:
Agentic AI & Automation:
Design and implement agent-based AI workflows to automate internal processes end-to-end
Build multi-step AI agents capable of:
Decision-making
Tool usage (APIs, SaaS tools, internal systems)
Escalation and exception handling
Continuously optimize AI flows to reduce human involvement while maintaining control and auditability
AI Tooling & Platforms:
Implement solutions using Agentic AI platforms, tools and frameworks, such as: OpenAI / Azure OpenAI / Copilot Studio / Gemini Enterprise, AWS bedrock (AgentCore), SFDC Agentforce
Low-code / no-code automation tools with AI capabilities (e.g., Make, Workato, UiPath, n8n)
Select and evaluate new AI tools to support internal automation initiatives
Systems Integration:
Integrate AI agents with internal systems such as: CRM (SFDC), ERP (NetSuite), ticketing systems (Jira)
Identity and access management
Monitoring, logging, and knowledge bases
Build and consume APIs to enable agent actions and data retrieval
Governance, Reliability & Security:
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

Were looking for a visionary Automation Engineer - Networking to join our Automation teams. As a member of this team, you will be responsible for the design, implementation and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, and user's authentication scenarios.
Responsibilities:
Define, design, and implement automated regression and sanity tests for our ever-evolving product
Take part in ensuring our product quality and robustness
Identify and design the tools needed for efficient automated testing
Define, set up, and maintain our test automation environments and processes
Develop an Automation infrastructure layer and libraries.

We are looking for an Automation Engineer - Telco / ISP Networking to join our Networking & Platform Automation group. This role focuses on Internet-facing, carrier-scale networking, customer connectivity, and complex multi-region routing scenarios.
As part of this role, you will work closely with R&D, Network Engineering, and Customer-facing teams to design, validate, and automate large-scale networking scenarios that resemble real-world ISP and Telco environments.
Responsibilities
Design, implement, and maintain automated system and integration tests for carrier-grade networking scenarios
Validate Internet BGP architectures, multi-region routing, and PoP connectivity
Model and test complex routing policies, traffic engineering, and failover scenarios
Build automation for customer integration flows, including peering, routing validation, and traffic verification
Define and maintain realistic Telco / ISP-like test environments (multi-AS, multi-PoP, Internet edge simulations)Collaborate with Network Engineering and Customer teams to reproduce, validate, and prevent field issues
Develop automation infrastructure, libraries, and tools to support large-scale networking tests.