Sr Manager, DevOps Engineering
Remote / Online - Candidates ideally in
Provo, Utah County, Utah, 84605, USA
Listed on 2025-12-01
Provo, Utah County, Utah, 84605, USA
Listing for:
Green Dot Corporation
Full Time, Remote/Work from Home
position Listed on 2025-12-01
Job specializations:
-
IT/Tech
IT Project Manager, Systems Engineer, Cloud Computing, AI Engineer
Job Description & How to Apply Below
Work Remotely from Anywhere - U.S.time type:
Full time posted on:
Posted 2 Days Agojob requisition : R3788
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.
** JOB DESCRIPTION
** 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 Dev Ops 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.# Summary The Dev Ops Engineering Sr Manager at Green Dot plays a pivotal role in shaping and leading the company's Dev Ops 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 Sr 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.#
Responsibilities
- Lead and mentor Dev Ops 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 Improvements 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.# Requirements
- Bachelor's degree in Computer Science, Engineering, or related field.
- 8+ years of experience in Dev Ops, Release…
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