DevOps Engineering Manager

DevOps Engineering Manager

We're looking for talented professionals to join us in bringing smart money management and payment solutions to everyone's fingertips.

This position is classified as structured hybrid, with an expectation of a minimum of three (3) days per week working in the office and flexibility to work remotely on the remaining days. On-site expectations may evolve over time to support business needs, with clear communication provided in advance.

Location Requirement

This position is open only to candidates who currently reside in one of the following approved locations:

Los Angeles, CA

Job Summary

Green Dot delivers reliable, scalable software solutions and continually improves its offerings. As an industry leader, we are hiring an experienced DevOps Engineering Manager. This pivotal role will oversee the design, deployment, and maintenance of our infrastructure, collaborating closely with cross-functional teams to ensure seamless integration and delivery. The ideal candidate will have a proven track record in DevOps leadership, experience with cloud technologies, automation tools, and a passion for fostering innovation within high-performing teams. At Green Dot, we value professional growth, diversity, and a collaborative environment where expertise and creativity drive our success. Join us to help shape the future of fintech technology and make a meaningful impact.

The DevOps Engineering Manager at Green Dot plays a pivotal role in shaping and leading the company's DevOps and Release Engineering functions. This leader is tasked with designing, implementing, and continuously improving CI/CD pipelines to ensure robust and streamlined software delivery processes. The position oversees the management and optimization of cloud infrastructure, leveraging cutting-edge technologies and AI-driven workflows to enhance automation, scalability, and operational efficiency.

Beyond technical execution, the Manager develops and drives strategic initiatives that align with organizational goals, fostering a culture of collaboration and innovation within cross-functional teams. They are responsible for mentoring team members, establishing best practices, and ensuring the highest standards of software reliability and performance across the enterprise. Ultimately, this role has a significant influence on Green Dot's ability to efficiently deliver high-quality products and adapt to the evolving technological landscape.

Key Responsibilities

• Lead and mentor DevOps and Release Engineering teams across multiple geographies.
• Oversee CI/CD pipeline development, maintenance, and optimization.
• Manage cloud-native infrastructure (Azure, AWS) and container orchestration.
• Drive Infrastructure as Code (IaC) adoption and automation.
• Collaborate with Cloud Systems Engineering, SRE, Security, and Development teams to ensure secure and reliable deployments.
• Plan and execute platform migrations and reliability engineering initiatives.
• Integrate AI tools to enhance development efficiency and software delivery.
• Foster a culture of innovation, accountability, and continuous improvement.
• Align individual goals with team and organizational objectives, focusing on measurable improvements in deployment velocity, system uptime, and incident response times
• Participate in scheduled on-call rotations, ensuring primary and backup coverage for critical systems. Adhere to escalation protocols and provide timely incident response
• Support team members in pursuing relevant certifications and professional growth opportunities
• Ensure fair and transparent on-call scheduling, provide backup coverage, and facilitate knowledge transfer during handoffs.

AI-Driven Solutions

This role will actively explore and implement AI-driven solutions to improve development efficiency and software delivery. Examples include:

• Leveraging AI for predictive deployment risk analysis.
• Automating code reviews and quality gate enforcement using AI models.
• Using AI to optimize CI/CD pipeline performance and resource utilization.
• Integrating AI assistants to support developer productivity and troubleshooting.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, or related field.

5-7+ years of experience in DevOps, Release Engineering, or related roles.

Proven leadership experience managing technical teams.

Expertise in CI/CD tools (e.g., ADO, GitHub), cloud application technologies (AKS), and cloud platforms.

Strong understanding of Infrastructure as Code and GitOps.

Experience with monitoring and observability tools.

Familiarity with AI/ML tools and their application in software development workflows.

Excellent communication and cross-functional collaboration skills.

**Ability to work in the U.S. without sponsorship**

**Ability to meet the location requirement outlined above**

Position Type

Regular

Pay Range

The targeted base salary for this position is $118,800 to $178,200 per year. The final compensation will be determined by a number of factors such as qualifications, expertise, and the candidate's geographical location.

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.