Lead Corporate Systems Engineer

We’re looking for talented professionals, anywhere in the United States, to join us in bringing smart money management and payment solutions to everyone’s fingertips.

At Green Dot, we are evolving to a new and permanent “Work from Anywhere” model designed to maximize the benefits of remote work, promote and enable a strong culture of performance and connectedness, and attract the best and brightest talent who align with our entrepreneurial spirit and mission.

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JOB DESCRIPTION

Role Overview
We are seeking an experienced and forward-thinking Lead Corporate Systems Engineer to own and enhance the business platforms that power our enterprise services. This role is a key bridge between business needs and technical execution, responsible for the administration, automation, security, and strategic evolution of our corporate applications. This role will also pioneer the integration of AI solutions to drive significant gains in enterprise efficiency and unlock new capabilities.
Key Responsibilities

• Design, administer, and optimize core applications and infrastructure across our hybrid-cloud (Azure and on-prem) environments.
• Champion and lead AI-driven efficiency by identifying opportunities to embed AI, machine learning, and intelligent automation into business processes and internal applications.
• Translate business requirements into scalable, automated, and efficient technical solutions, with a focus on leveraging modern AI and cloud services.
• Lead technical projects through the full lifecycle, from requirements gathering and design through to implementation and adoption.
• Serve as the primary escalation point for complex system issues, providing advanced troubleshooting and root cause analysis.
• Implement and enforce security best practices and ensure systems comply with standards like PCI DSS and SOC 2, paying special attention to data governance for AI systems.
• Mentor junior engineers and drive technical innovation by evaluating and recommending new technologies, particularly in the AI and automation space.

Technical Qualifications

• 5+ years in systems engineering or a similar role with a focus on enterprise applications.
• Expertise in Linux/Windows server administration and public cloud platforms, preferably Azure (including Azure AI Services, IAM, etc.).
• Proven experience with Infrastructure as Code (IaC) tools like Terraform, Ansible, or ARM templates for automation.
• Strong scripting skills (PowerShell, Python, Bash).
• Hands-on experience with containerization and observability tools (e.g., Datadog, Prometheus, ELK stack).
• Demonstrated experience or strong interest in leveraging AI for business process automation, such as using LLMs for internal knowledge management, implementing intelligent chatbots, or automating data analysis workflows.
• (Preferred) C# development experience. 

POSITION TYPE

PAY RANGE

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We’re Here to Support You—Accommodations Upon Request

Green Dot is committed to providing an inclusive and accessible hiring experience for all candidates. If you require a reasonable accommodation during any part of the application or interview process, we encourage you to let us know. We will work with you to meet your needs in a way that respects your privacy and ensures equal opportunity. Our goal is to support every applicant in showcasing their talents and potential.

Work Authorization Requirement
At Green Dot Corporation, we value diversity and strive for fair and inclusive hiring practices. However, we are currently unable to offer visa sponsorship. All applicants must be legally authorized to work in the United States at the time of application and throughout the duration of employment, without the need for current or future sponsorship.

Important Notice on Application Accuracy
We value integrity in our hiring process. Please ensure that all information provided in your resume and application is accurate and authentic. Submissions found to be fraudulent or misleading will result in disqualification from consideration, and any offers extended may be rescinded.