Sr. Engineer, Software Development

Green Dot•Los Angeles, CA

1d•Hybrid

About The Position

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. Green Dot Corporation is seeking a Senior Software Engineer to join the Platform Team, contributing to the development of scalable, secure, and resilient systems that support core platform services and infrastructure. The ideal candidate will have strong technical expertise in platform engineering, cloud-native architectures and Automation Testing, working closely with cross-functional teams to deliver high-quality solutions.

Requirements

5+ years of software engineering experience
Proficiency in C#
Automation tool testing experience (PostMan, Bruno, SpecFlow, cucumber)
End ‑ to ‑ end test automation experience covering APIs, batch processing, and big ‑ data validation.
Strong understanding of RESTful API design, OAuth2, and microservices architecture.
Experience with cloud platforms (AWS/AKS preferred), Azure Cosmo DB with AI Search, and infrastructure-as-code (Terraform)
Familiarity with tools such as Jenkins, TeamCity, GitHub Actions, and ArgoCD
Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog, Prometheus)
Ability to work in the U.S. without sponsorship
Ability to meet the location requirement outlined above

Nice To Haves

Ability to work independently and collaboratively in a fast-paced environment.
Strong problem-solving skills and attention to detail.
Excellent communication skills for cross-team collaboration.

Responsibilities

Implement and maintain automated testing (unit, integration, and smoke tests) to improve delivery confidence and reduce production risk
Embed automated testing and quality gates into CI/CD workflows to support reliable releases.
Proficiency in AWS and Azure Cloud native technologies and experience with Azure migration
Familiarity with DevOps tools
Knowledge of container orchestration, release automation, and platform observability tools (e.g., Datadog)
Operate in an AI driven SDLC environment and familiarity with AI code assistants like GitHub Copilot or similar tools
Design and develop backend services and APIs to support platform operations, including release engineering, DevOps pipelines, and system integrations
Collaborate with QA, Security, and Infrastructure teams to ensure seamless deployment and performance of platform tools
Implement monitoring and alerting solutions to ensure SLA adherence and rapid incident response
Contribute to engineering best practices and drive knowledge sharing across the platform domain
Support platform releases through validation, monitoring, and post‑deployment oversight