דרושים Manager Software Engineering ב-Mcafee ב-קנדה

About the role

• Work closely with developers to develop, automate, and execute test plans
• Work closely with other SDETs to make test automation framework changes, perform code reviews, and implement test automation best practices
• Use and automate a variety of debugging tools to assist in triage and collecting system information
• Use creativity, product, and operating system knowledge to develop and execute a variety of exploratory test scenarios
• Help build CI/CD pipelines using Jenkins to automate the software development lifecycle
• Identify and implement opportunities to improve and automate the CI/CD process
• Provide build verification and sign-off

About you

• You have 2+ years of quality testing and automation experience
• You have experience working with python and C++
• You understand and can apply software testing best practices
• Knowledge of Windows Operating System and architecture
• Knowledge of Windows SysInterals tools a bonus
• Knowledge of Windows WHQL and HLK processes a bonus
• Knowledge of anti-malware applications, network applications, cloud programming a bonus
• Knowledge of executable file-formats (MZ, PE, COFF, ELF, MACH-O) is a bonus
• You like working in a team and have excellent communication skills
• You like finding creative solutions to solve hard problems

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

About the role:

• Develop and debug Windows user mode software in a collaborative environment using secure software development practices.
• Drive the architecture and design of new threat protection features and capabilities.
• Design and work with data to monitor and measure the success of new and existing features.
• Use data analysis to interpret, identify and triage in-field customer issues.
• Triage and resolve defects using a variety of Windows debugging tools and techniques.
• Participate in all parts of the software development lifecycle including planning, design and development.
• Participate in code reviews.
• Work as part of a scrum team, assisting in the creation of story backlog, task breakdowns and estimates.
• Mentor and grow junior team members.
  

About you:

• Your background includes 6+ years of experience in C++ software development including design, development, code review and defect investigation
• You are highly proficient in modern C++, multithreading, IPC and System Programming.
• You have strong debugging skills using tools such as Visual Studio and WinDBG.
• Your background includes experience developing high-quality, high-performance software on Windows.
• You can analyze data using SQL or python.
• You like working on a team and have excellent communication skills.
• Kernel debugging analysis a bonus.
• Experience with data analysis using Databricks a bonus.
• Analyzing performance using Windows performance analysis tools is a bonus.
• Familiarity with Jenkins or other CI/CD pipelines a bonus.
• You love taking on difficult challenges and finding creative solutions.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

• Lead the Enterprise Data Platform Ingestion team, providing strategic guidance, mentorship, and leadership
• Oversee a team of data ingestion engineers, providing code review, best practices, and adherence to platform standards
• Provide guidance for ingestion best practices from a variety of source systems and knowledge to tailor ingestion approaches on a per-system basis
• Manage, maintain, and oversee ETL/ELT pipelines on the Databricks platform
• Ensure ELT/ETL design meets required security and compliance guidelines, and ensure PII management, flagging, and risk assessment during ingestion
• Maintain ETL/ELT pipeline infrastructure and implement automated monitoring strategies
• Manage Agile sprint development cycles for the Ingestion team
• Ensure adherence to SDLC best practices

• Bring 5+ years of experience in data engineering, ingestion pipelining, and ETL/ELT
• Hold an advanced degree in computer science, engineering, statistics, or related field
• Have experience leading small, high-performing teams of data engineers
• Have hands-on experience with and understanding of the following:
  • Spark/Scala
  • SQL
  • Python/PySpark or similar programming language
  • Databricks
  • ETL/ELT development, monitoring and pipelining using tools such as Apache Airflow
  • Ingestion tools such as Dell Boomi
  • Data quality guidelines
  • CI/CD pipelines
  • Agile sprint management
  • Git and version control

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• 401k Retirement Plan
• Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
• Paid Parental Leave
• Support for Community Involvement
• 14 Paid Company Holidays
• Unlimited Paid Time Off for Exempt Employees
• 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

Please click to viewand download theJob Applicantjob applicantswho are residents of the state of California.

• Leadership & Team Development : Lead and mentor a high-performing team of ML scientists. Foster a collaborative culture that promotes innovation, continuous learning, and technical excellence.
• Strategic Vision : Drive the ML Science strategy for pricing, recommendation systems, and personalized consumer experiences, aligning efforts with McAfee’s objectives to optimize customer value.
• Model Development : Oversee the design, implementation, and delivery of ML models using user behaviour and subscription data to enhance personalization and product value. Familiarity to traditional and classical ML is a plus.
• Reinforcement Learning Implementation : Guide the team in applying reinforcement learning techniques, such as contextual bandits, SARSA, and Q-learning. Implementexploration-exploitationstrategies like epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making frameworks for pricing and recommendation engines.
• Cross-Functional Collaboration : Work closely with teams across Marketing, Product, Sales, and Engineering to ensure that ML solutions align with strategic objectives and deliver measurable business impact.
• Optimization & Experimentation : Lead the team in creating algorithms for optimizing consumer journeys, increasing conversion rates, and driving monetization strategies. Design and execute controlled experiments (A/B and multivariate tests) to validate and improve model performance.
• Research & Knowledge Sharing : Stay at the forefront of ML science, contributing to the development of new algorithms and applications. Share knowledge through internal presentations, publications, and participation in academic or industry forums.
  

• 8+ years of experience in machine learning, with 3+ years in a leadership role managing ML scientists. You’ve demonstrated the ability to drive technical innovation and mentor teams.
• Proven track record in at least one of the following: Implementing AI/ML personalization techniques to enhance consumer/customer product experiences; Developing AI/ML-based dynamic pricing and personalized offer strategies for pricing optimization, or Creating customer/consumer churn and propensity models specifically for digital subscription use cases
• Expertise in classical ML and deep learning techniques (XGBoost, Random Forest, SVM, deep neural networks, etc.), reinforcement learning techniques (contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
• You are proficient with ML libraries like PyTorch, Scikit-learn, and others. You have a strong background in feature engineering, model validation, and evaluation metrics.
• You possess a deep understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability) and are driven by solving complex problems. You have a track record of researching and applying new ML techniques to solve real-world challenges.
• You are an effective communicator who can explain complex ML concepts to technical and non-technical stakeholders. You excel in collaborating with cross-functional teams to align ML models with business goals.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

About the role:

• You will work within the consumer capability team, report to an engineering manager

• You will help us to create capabilities promoting next-generation product features / experiences

• You will work with architects and other team members to design the end-to-end solution across cloud and client applications. Design solution architecture that meets operational requirements and is scalable, easily maintained, secure and available.

• You will oversee a cloud solution, including public cloud PaaS / Serverless technologies, using required SQL/NoSQL data stores with deep understanding of the technologies, the data model, and the access patterns. Ensure high scalability, availability, performance, and cost optimization.

• You will develop cloud solutions that promote standards, security, and efficiency across the ecosystem.

• You will create detailed design specifications, test, and performance guidelines.

• You will research and innovation to find solutions to challenging technical problems.

• You will be an Important player on an agile development team

About you:

• Your background includes 6+ years of industry experience and 3+ years developing cloud based software

• Hands-on experience of full stack development of scalable cloud applications using various cloud development stacks.

• Experienced in developing and debugging of microservices in Linux-based environments.

• You have expertise in microservices, with proficiency in multiple object-oriented programming languages and design patterns, C#/Golang/Node.js, and containerization (Docker) with orchestration solutions including EKS

• You have expertise in SQL, no-SQL and big data frameworks: Aroura DB, MS-SQL, Postgres DB, Dynamo DB, middleware like Kafka, SNS and Redis

• Ability to create a continuous delivery environment using test-driven development.

• Proven expertise in Linux scripting, debugging, and troubleshooting.

• You are experienced with network protocols and have excellent knowledge of cloud design principals, cloud architecture, and cloud security.

• You are a quick and proficient learner who is passionate and able to learn new technologies.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

• Leadership & Team Development : Lead and mentor a high-performing team of ML scientists. Foster a collaborative culture that promotes innovation, continuous learning, and technical excellence.
• Strategic Vision : Drive the ML Science strategy for pricing, recommendation systems, and personalized consumer experiences, aligning efforts with McAfee’s objectives to optimize customer value.
• Model Development : Oversee the design, implementation, and delivery of ML models using user behaviour and subscription data to enhance personalization and product value. Familiarity to traditional and classical ML is a plus.
• Reinforcement Learning Implementation : Guide the team in applying reinforcement learning techniques, such as contextual bandits, SARSA, and Q-learning. Implement exploration-exploitation strategies like epsilon-greedy, Thompson sampling, and Upper Confidence Bound (UCB) to optimize decision-making frameworks for pricing and recommendation engines.
• Cross-Functional Collaboration : Work closely with teams across Marketing, Product, Sales, and Engineering to ensure that ML solutions align with strategic objectives and deliver measurable business impact.
• Optimization & Experimentation : Lead the team in creating algorithms for optimizing consumer journeys, increasing conversion rates, and driving monetization strategies. Design and execute controlled experiments (A/B and multivariate tests) to validate and improve model performance.
• Research & Knowledge Sharing : Stay at the forefront of ML science, contributing to the development of new algorithms and applications. Share knowledge through internal presentations, publications, and participation in academic or industry forums.
  

• 8+ years of experience in machine learning, with 3+ years in a leadership role managing ML scientists. You’ve demonstrated the ability to drive technical innovation and mentor teams.
• Expertise in classical ML and deep learning techniques (XGBoost, Random Forest, SVM, deep neural networks, etc.), reinforcement learning techniques (contextual bandits, SARSA, Q-learning), and proficiency in Python, SQL, and ML frameworks.
• You are proficient with ML libraries like PyTorch, Scikit-learn, and others. You have a strong background in feature engineering, model validation, and evaluation metrics.
• You possess a deep understanding of the mathematical and statistical principles behind machine learning algorithms (e.g., linear algebra, calculus, probability) and are driven by solving complex problems. You have a track record of researching and applying new ML techniques to solve real-world challenges.
• You are an effective communicator who can explain complex ML concepts to technical and non-technical stakeholders. You excel in collaborating with cross-functional teams to align ML models with business goals.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement

About the role:

• Lead a team of SDEs and SDETs focused on delivering a best in class web application for our customers to manage their subscription and account.

• Be hands on to provide technical / design guidance & support, be active in code reviews to hold a high bar for code quality.

• As scrum master, collaborate with TPMs on project management and execution, holding the team accountable to project milestones.

• As coach and mentor for the team, guide each member with their career and job skill development, to ensure team is well equipped to deliver impactful business outcome.

• Effective communicator and excellent at collaborating with stakeholders, driving consensus and solving problems with urgency and efficacy.

About You:

• You have 3+ years of experience as an Engineering Manager, with experience managing SDEs and SDETs.

• You have 7+ years of experience in application development in ReactJS, Redux, HTML/CSS.

• You have a strong knowledge of distributed systems, performance at internet scale and mastery at UI concepts.

• You have strong knowledge of object-oriented concepts.

• You have experience with the software development process, optimization techniques, and testing methodologies.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement