Lead and grow the Blackhawk Network Offensive Security Team, providing product security thought leadership and support across the organization.
Compensation
Salary Range for all U.S. Residents (excluding Alaska, California, North Dakota, South Dakota): $155,770.00 to $264,834.00; Salary Range for California Residents Only: $189,990.00 to $323,010.00
Responsibilities
Provide product security thought leadership across the company
Deploy/on-board applications on product security tools
Provide support for product security commercial off-the-shelf (COTS) and in-house built applications
Perform code reviews of applications, manually and using static analysis tools
Requirements
BS in Computer Science, Electrical Engineering or related experience
The head of Product Security Engineering will lead and grow the Blackhawk Network Offensive Security Team, keeping corporate and production infrastructure secure and articulating security decisions to engineers and business teams.
Compensation
Salary Range for all U.S. Residents (excluding Alaska, California, North Dakota, South Dakota): $155,770.00 to $264,834.00. Salary Range for California Residents Only: $189,990.00 to $323,010.00
Responsibilities
Provide Product Security thought leadership across the company
Deploy/on-board application on product security tools
Provide support for product security commercial off-the-shelf (COTS) and in-house built applications
Perform code reviews of applications, manually and using static analysis tools
Lead and grow the Blackhawk Network Offensive Security Team
Lead a team of database administrators to design, support, secure, and modernize VDSS database platforms across multiple enterprise and cloud environments.
Compensation
Hiring Range: $142,000 - $152,000 per year
Responsibilities
Lead a team of DBAs
Design and support enterprise database platforms
Oversee database architecture, lifecycle management, governance, and security
Drive cloud migration and modernization initiatives
The Applied AI Site Reliability Engineer focuses on the reliability, performance, and operational integrity of high-visibility products and platforms. The role involves cloud platform engineering, observability, and applied AI fluency to operate AI and agentic workloads.
Compensation
A reasonable estimate of the current range is $69,400 to $127,900.
Responsibilities
Drive a culture of accountability for reliability, performance, and cost outcomes measured in SLOs and error budgets.
Operate products, platforms, and environments to meet SLOs within budget.
Serve as technical advocate for production reliability and operability.
Participate in design of observability, performance, and resilience testing, and operational tooling.
Maintain operational integrity of production and pre-production environments.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $102,500 to $188,900.
Responsibilities
Operate the products, platforms, and environments to meet SLOs
Lead design of observability, performance and resilience testing
Own admission of systems into production
Maintain operational integrity of production and pre-production environments
Build and operate production observability dashboards and alerting
Requirements
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $113,100 to $208,300
Responsibilities
Operate production systems to meet SLOs and error budgets
Design and implement observability, performance, and resilience testing
Own admission of systems into production
Lead blameless postmortems and continuous improvement
Collaborate with cross-functional teams to set production standards
Requirements
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline
Lead Applied AI Site Reliability Engineer II responsible for reliability, performance, and operational integrity of high-visibility products and platforms.
Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. A reasonable estimate of the current range is $113,100 to $208,300.
Responsibilities
Operate production systems to meet SLOs and error budgets
Design and implement observability, performance, and resilience testing
Own admission of systems into production
Lead technical advocacy for reliability and operability
Mentor and guide team members
Requirements
Bachelor's degree in computer science, software engineering, data science, machine learning, or related discipline
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