Principal Engineer jobs

• High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
• Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
• Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
• Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.

As a , you’ll be the technical quarterback for Orca’s largest and most complex customers. You’ll partner closely with executives, architects, and security teams to ensure they unlock the full value of the Orca Platform, driving adoption, expanding use cases, and shaping long-term cloud security strategies.

You’ll combine with , serving as the bridge between our customers and Orca’s product, engineering, and go-to-market teams. From on-site visits to executive workshops, you’ll ensure customers achieve measurable outcomes and see Orca as a critical part of their cloud security transformation.

• Serve as the trusted technical advisor for Orca’s most strategic customers.
• Lead customer visits, executive briefings, and technical workshops to accelerate adoption and strengthen relationships.
• Drive deployment, expansion, and operational excellence through architecture reviews and best practice guidance.
• Collaborate with customer stakeholders to align cloud security goals, compliance initiatives, and risk reduction strategies .
• Partner with Customer Success Managers to design and execute tailored success plans tied to business outcomes.
• Identify and remove technical blockers while advocating for customer needs across Product, Support, and Engineering.
• Present platform value and innovation in executive-level business reviews.
• Collaborate with Sales on renewals, expansions, and long-term strategic growth.
• Provide insights and feedback to influence Orca’s product roadmap and customer experience .

• 5+ years in customer-facing technical roles (CSE, TAM, Solutions Architect, or DevOps/Security Engineer).
• Proven experience with enterprise cloud environments (AWS, Azure, GCP).
• Hands-on knowledge of Kubernetes, containers, and CI/CD pipelines .
• Strong understanding of cloud security architecture and the CNAPP ecosystem .
• Proficiency in scripting, automation, and API integrations .
• Exceptional communication and consulting skills—able to engage both technical teams and C-level executives.
• A passion for helping customers operationalize security at scale and deliver measurable value.
• Bonus: Experience with IaC (Terraform) or Kubernetes certifications (CKA/CKAD/CKS) .

At Orca, you’ll join a passionate global team on a mission to make cloud security frictionless. You’ll work alongside innovators who challenge norms, build boldly, and care deeply about customer success.

Essential Responsibilities:

• Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
• Advises immediate management on project-level issues
• Guides junior engineers
• Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
• Applies knowledge of technical best practices in making decisions

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Preferred Expertise:
Knowledgeable in IVR development and voice-based applications, including IVR solution design, voice recognition technologies, voice UX design, text-to-speech systems, and telephony API integrations.

Key Skills:

Backend: Java, Spring Boot, Spring WebFlux, Python
Frontend: Node.js, JavaScript, TypeScript, React.js, with testing tools such as Cypress, Playwright.
Architecture: Cloud-native systems, microservices, distributed systems, CI/CD pipelines, design patterns.
Machine Learning/Natural Language Processing a plus: Experience with frameworks like LangChain, LangGraph, and LangFlow, as well as techniques like prompt engineering, RAG, and observability in LLM applications.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff
• Follows well-established internal conventions and standard procedures
• Understands internal standards & processes an applies them to make technical decisions
• Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions
• May contribute to code & design reviews

Expected Qualifications:

• 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Proficient in Java programming, including developing, testing, and maintaining scalable applications using modern frameworks and best practices.

Belonging at PayPal:

Any general requests for consideration of your skills, please

• Gain hands-on experience working on real-world large language model (LLM) and machine learning projects within the domains of commerce, personalization, recommendation, and user behavior understanding.
• Assist in the fine-tuning, evaluation, and deployment of LLMs for tasks such as personalized recommendations, semantic search, and behavioral modeling.
• Collaborate with experienced engineers, data scientists, and product experts to translate business requirements into actionable LLM and ML-driven solutions.
• Analyze data, build prototypes, and explore new methodologies to improve the effectiveness of personalization and recommendation systems.
• Contribute to the development and documentation of LLM training pipelines and model evaluation frameworks, ensuring reproducibility and maintainability.
• Present findings and recommendations to stakeholders across the organization, highlighting the business impact of personalization and LLM applications.
• Network with talented professionals and gain valuable insights into the world of financial technology, personalization, and applied machine learning.

• Strong understanding of machine learning concepts, algorithms, and techniques (e.g., supervised learning, unsupervised learning, deep learning).
• Familiarity with large language models (e.g., GPT, LLaMA, Mistral) and techniques for fine-tuning, prompt engineering, or embeddings-based retrieval.
• Proven ability to work with Python, libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Hugging Face Transformers.
• Experience with data analysis, cleaning, and wrangling.
• Excellent communication, collaboration, and problem-solving skills.
• A passion for learning and exploring new technologies.
• Highly motivated and proactive with a strong work ethic.

Basic Requirements

• Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, or a related field .

• Strong theoretical foundation in ML algorithms, optimization, and statistical learning theory .

• Demonstrated ability to implement and evaluate ML models using Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch .

• Experience conducting independent research , with publications in relevant ML/AI conferences or journals (preferred).

• Excellent communication and collaboration skills, with the ability to present research to both technical and non-technical audiences.

• Highly motivated, curious, and proactive in exploring new research directions.

Program Information and Requirements

• This is a Summer 2026 PhD Internship (Spring and Fall sessions are not available).

• Must be enrolled in a PhD program at an accredited university, returning to studies after the internship.

• Must reside in the U.S. during the program.

• Must be authorized to work in the U.S. for the duration of the internship.

The total compensation for this position may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The U.S. national hourly pay range for this role is $66/hour.

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Actively participate in the technical discovery phase with customers to understand their needs and requirements.
• Assist customers during the integration and onboarding process, ensuring smooth and successful deployment of solutions.
• Explain complex technical concepts to C-level executives and non-technical audiences, ensuring they understand PayPal's technology and value proposition.
• Record and review the solutioning process with the integration team to ensure technical and business requirements are met.
• Represent the technical voice of the customer internally, participating in product design and roadmap reviews to ensure customer needs are addressed.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

• Master’s degree in computer science or equivalent.
• Ability to analyze strategic objectives and define specific tactical goals required to achieve them.
• 8+ years of experience with Payments (Credit Card, Banking, Online, Offline, Checkout flows, Consumer Wallets, etc.), especially with e-commerce systems, payments gateways, and payment processors.
• 8+ years of experience in Solutions and/or Integration Engineering or Professional Services, preferably with large to enterprise-level companies engaged in e-commerce.
• 5+ years of experience with system discovery process, requirements gathering, systems architecture, or development.
• 5+ years of industry experience with POS systems/devices or mobile systems.
• 5+ years of industry experience with Vertical SaaS platforms solution design and/or integrations.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Delivers complete solutions spanning all phases of the Software Development Lifecycle (SDLC) (design, implementation, testing, delivery and operations), based on definitions from more senior roles.
• Advises immediate management on project-level issues
• Guides junior engineers
• Operates with little day-to-day supervision, making technical decisions based on knowledge of internal conventions and industry best practices
• Applies knowledge of technical best practices in making decisions

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities

• Proven experience performing both manual and automated testing for large-scale web applications, ensuring quality across frontend, backend, and data layers.

• Strong expertise in frontend and backend validation, including UI flows, APIs, and service-level integrations.

• Hands-on experience with modern automation frameworks such as Playwright or Cypress, with a deep understanding of test design and best practices for scalable web testing.

• Ability to design and build test automation frameworks from scratch, defining architecture, structure, and reusable components that accelerate team-wide adoption.

• Experience defining test strategies, coverage plans, and quality gates for complex features and distributed systems.

• Familiarity with continuous integration and delivery pipelines (e.g., Jenkins, GitHub Actions, CircleCI) to enable automated regression and continuous validation.

• Skilled in debugging and root-cause analysis, using browser developer tools, network inspection, and logs to troubleshoot issues across the full stack.

• Strong analytical and communication skills, with the ability to influence quality practices across engineering teams and advocate for release readiness.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Lead the development and optimization of advanced machine learning models.
• Oversee the preprocessing and analysis of large datasets.
• Deploy and maintain ML solutions in production environments.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models, making necessary adjustments.

Expected Qualifications:

• 5+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Extensive experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Expertise in cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

• Design, develop, and deploy autonomous AI agents capable of performing complex tasks across business workflows.

• Collaborate with cross-functional teams to integrate LLM-based systems into existing platforms and tools.

• Develop frameworks for goal-driven, multi-step reasoning anddecision-making inAI agents.

• Implement agent orchestration, including memory, planning, and tool-use capabilities.

• Monitor and optimize agent performance using data-driven metrics, ensuring scalability, reliability, and compliance.

• Stay updated with the latest developments in LLM, RAG, and agentic system architectures, applying best practices to product innovation.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

Belonging at PayPal:

Any general requests for consideration of your skills, please