| Job Description: |
Location Requirement
This position is open only to candidates who currently reside in one of the following approved locations: Tampa, FL or Los Angeles, CA
Job Summary
Green Dot Corporation is seeking an experienced and forward-thinkingLead 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 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 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 such as PCI DSS and SOC 2, with particular 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.
Required Qualifications
- 5+ years of experience 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 and IAM.
- Proven experience with Infrastructure as Code (IaC) tools such as Terraform, Ansible, or ARM templates.
- Strong scripting skills in PowerShell, Python, and/or Bash.
- Hands-on experience with containerization and observability tools such as Datadog, Prometheus, or the 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.
- C# development experience preferred.
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