דרושים Cloud Security Automation Engineer ב-Paypal ב-United States, Chicago

This job will lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

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.

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 .

The US national annual pay range for this role is $169,500 to $291,500

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.

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 .

The US national annual pay range for this role is $123,500 to $212,850

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.

As Senior Software Engineer, you will participate in all phases of our software development lifecycle from design, architecture and planning to development, testing, deployment, monitoring and beyond. You will be responsible in delivering an industry leading product and directing its next phase of growth. You will deep dive and implement robust solutions to complex problems. The prospective candidate will be an individual contributor working with various cross functional groups (business, product, analytics, engineering) and will require admirable collaboration skills. Business acumen, hands-on technology skills, positive work ethic and a collaborative mindset are key to the success of this role.

Your day to day:

In your day-to-day role you will

o Own implementation of amodule/application/product.

o Develop efficient, elegant, clean code with no unnecessary complication or abstraction.

What do you need to bring-

o Solid understanding of Ruby language and working experience in Rails framework

o Knowledge in Java Reactive programming, Spring framework, Spring boot is a strong plus

o Good understanding of web services and related standards like REST/JSON and gRPC

o Experience in Object-Oriented programming and concepts.

o Solid understanding of algorithms and design patterns.

o Experiences in both relational and non-relational DB, like Oracle and Aerospike/Redis

o Experience in Junit and TestNG.

o Exposure to Agile methodologies.

o Strong problem-solving skills.

o Financial or Payment industry experience is preferred.

o Proven track record in delivering highly available, scalable systems on time.

**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

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 .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

This job will design, develop, and implement machine learning models and algorithms to solve complex problems. You will work closely with data scientists, software engineers, and product teams to enhance services through innovative AI/ML solutions. Your role will involve building scalable ML pipelines, ensuring data quality, and deploying models into production environments to drive business insights and improve customer experiences.

Essential Responsibilities:

• Develop and optimize machine learning models for various applications.
• Preprocess and analyze large datasets to extract meaningful insights.
• Deploy ML solutions into production environments using appropriate tools and frameworks.
• Collaborate with cross-functional teams to integrate ML models into products and services.
• Monitor and evaluate the performance of deployed models.

Expected Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.
• Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.
• Several years of experience in designing, implementing, and deploying machine learning models.

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 .

The US national annual pay range for this role is $137,500 to $236,500

Our Benefits:

Any general requests for consideration of your skills, please

Essential Responsibilities:

• Independently apply security best practices to enhance and optimize systems, ensuring robust protection and efficiency, while beginning to understand and align security solutions with business objectives.
• Partner with peers and internal teams to drive security initiatives, contribute to cross-functional projects, and at times co-lead efforts to strengthen security posture.
• Analyze and resolve security challenges by adapting standard processes and exploring alternative approaches to address complex threats.
• Influence the quality, efficiency, and effectiveness of the team through informed decision-making, with a potential impact on other teams.
• Collaborate with other engineers to gather and incorporate feedback, driving continuous improvements in security processes.

Expected Qualifications:

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

Top skills required:

• Cloud Security knowledge and best practices in GCP, AWS environments.
• Cloud security posture management understanding to provide remediation advisory.
• Cloud security evidence collection and forensics.
• Experience withinfrastructure-as-codetools like CloudFormation, Terraform, etc.
• Excellent communication and documentation skills
• Hands-on experience with Docker containers in Kubernetes environments
• Collaborative mindset to work along cross-functional teams.

Nice to have skills:

• Cloud native security tools management.
• Manage CSPM solution. Preferably Wiz.
• Understanding on vulnerability management on cloud environments (such as CSPM findings, configuration findings, etc.).
• Industry cybersecurity standards (such as PCI, ISO 27000 Family, NIST, CIS, SOC 2, etc.)
• Basic DFIR processes in cloud environments.
• Collaborative mindset.
• Agile methodology knowledge and understanding.

In their day-to-day they will:

• Onboarding Cloud accounts (such as Azure, AWS & GCP) – this includes access grant, enabling policies, configuring baselines, configuring agents (if applicable), verifying health status
• Administer CSPM solution – this includes managing user roles, audit logs, manage API access
• Discover cloud assets – this includes gaining visibility and manage cloud assets
• Manage Security policies and Benchmarks – this includes configuring CSPs specific security policies, industry specific compliance policies (such as PCI), benchmarks standards (such as CIS, NIST, etc.)
• Respond to alerts – this includes monitor, investigate and triage incidents based on actionable alerts
• Manage OS hardening – this includes administer operating system baseline and hardening
• Integration with 3rd party systems – this includes manage changes, requests on integration with other systems (such as ITSM and CI/CD Tools)
• Remediation guidance – this includes providing recommendations to the stakeholders to fix the potential threats, applying configurations on the systems to maintain IT security regulatory compliance and standards
• Manage reports – this includes providing reports to the business and relevant stakeholders

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 .

The US national annual pay range for this role is $123,500 to $212,850

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:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

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 .

The US national annual pay range for this role is $123,500 to $212,850

Our Benefits:

Any general requests for consideration of your skills, please

Responsibilities:Model Development: Design and implement core decision models for identity, onboarding, authentication, abuse, scam, product-specific models.Anomaly Detection: Develop and refine algorithms for detecting anomalies and identifying potential fraud patterns.Supervised Learning: Apply supervised learning techniques to build predictive models that accurately identify fraudulent activities.Continuous Learning: Utilize continual learning methods to continuously improve model performance and adapt to new fraud tactics.Experimentation and Analysis: Conduct experiments, analyze results, and interpret findings to drive innovation and enhance decision-making processes.

Essential Responsibilities:

• Assist in the development and optimization of machine learning models.
• Preprocess and analyze datasets to ensure data quality.
• Collaborate with senior engineers and data scientists on model deployment.
• Conduct experiments and run machine learning tests.
• Stay updated with the latest advancements in machine learning.

Minimum Qualifications:

• Minimum of 2 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Familiarity with ML frameworks like TensorFlow or scikit-learn.
• Strong analytical and problem-solving skills.

• Expertise : Familiarity with decision models for identity and authentication.
• Domain Knowledge : Experience in fraud prevention and detection.
• Instrumentation : Experience driving data instrumentation for experimentation and large-scale data collection.
• Real-time Systems : Familiarity with building systems that incorporate real-time feedback and continuous learning.
• Advanced Techniques : Knowledge of reinforcement learning, contextual bandits, sequence models, optimization, or graph mining.
• Education : Master's degree or PhD in Computer Science, Statistics, Data Science, Machine Learning, Artificial Intelligence, or a related quantitative field (STEM).
• Experience : 3+ years of experience within ML Engineering or AI Research roles, with demonstrated expertise in building and deploying real-world predictive models.
• Skills : Strong understanding of anomaly detection, supervised learning techniques, and experiential learning methods. Experience in fraud prevention is a plus.
• Communication : Strong interpersonal, written, and verbal communication skills, with experience collaborating across multiple business functions.

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 .

The US national annual pay range for this role is $111,500 to $191,950

Our Benefits:

Any general requests for consideration of your skills, please