Lead DevOps Engineer

Happen Bank (formerly LendingClub) is built around a simple purpose: to clear the way to help people turn intention into action, and action into financial progress. That means offering focused products, a frictionless mobile-first experience, and clear terms with no gotchas. Respect and fairness is part of our DNA, and that ideal shapes how we work, how we treat each other, and how we invest in our employees and our community. Join us in using data, bold thinking, and a commitment to innovation to help clear the way for millions of Americans to achieve more.

• Build applications and infrastructure to enable Happen Bank to deliver high-quality software quickly
• Build monitoring and alerting infrastructure that is scalable and easy to maintain
• Participate in an on-call rotation to investigate and resolve production issues
• Ensure uptime and performance SLAs are met
• Collaborate with operations, security, and engineering teams to build self-service frameworks that improve platform stability, reduce risk, and control costs
• Work across the full infrastructure stack including design, architecture, capacity planning, monitoring, alerting, security, scaling, failover, and recovery
• Partner with engineering teams on new feature rollouts
• Troubleshoot issues independently and support engineers via shared channels such as Slack
• Ramp on team systems and contribute to roadmap priorities and ongoing DevOps support

• 8+ years of experience operating enterprise-class infrastructure
• 5+ years of coding experience in an object-oriented language such as Java or Python
• Strong experience with AWS, including IAM, EC2, ASG, ELB/ALB, AMI, EBS, VPC, S3, Route53, CodeDeploy, ECR, API Gateway, and Bedrock
• Hands-on experience with Terraform, Kubernetes/EKS, containers, and Helm
• Experience with Grafana and Prometheus
• Familiarity with agentic frameworks and MCP tools
• Expertise in building automated deployment pipelines and scalable systems
• Strong system-level thinking with the ability to move across layers of the stack
• Ability to independently troubleshoot and support other engineers
• Experience using AI to improve output quality, with sound judgment on limitations and human oversight
• Bachelor's degree or higher, or equivalent combination of education and experience

Work Location
San Francisco
The above locations are eligible offices for this role. The locations have been determined to foster in-person collaboration with this role’s team or the related business lines. We utilize a hybrid work model, and our teams are in-office Tuesdays, Wednesdays, and Thursdays. In-person attendance is essential for this role’s success, and remote placement will not be considered. Happen Bank offers relocation, based on actual job level.
Time Zone Requirements
Primarily PT
While the position will primarily work local hours, Happen Bank is headquartered in Pacific Time and our ideal candidate will be flexible working across time zones when necessary.
Travel Requirements
As needed travel to Happen Bank offices and/or other locations, as needed.
Compensation
The target base salary range for this position is 185,000-215,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank’s Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
We’re creating new financial services solutions for our members based on fairness, simplicity, and heart, and we treat our employees the same way. We offer a competitive benefits package that includes medical, dental and vision plans for employees and their families, 401(k) match, health and wellness programs, flexible time off policies for salaried employees, up to 16 weeks paid parental leave and more.
#LI-Hybrid
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Happen Bank is an equal opportunity employer and dedicated to diversity, equity, and inclusion in the workplace. We do not discriminate on the basis of race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), gender, gender identity, gender expression, sexual orientation, age, marital status, veteran status, disability status, political views or activity, or other applicable legally protected characteristics. We believe that a variety of perspectives will make our teams and business stronger as we work together to transform the traditional banking system. 

We are committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at [email protected]. 

Notice on AI Tool Use 

For select roles and locations, candidate interviews may be recorded, transcribed and summarized by tools such as artificial intelligence (AI) to assist our hiring managers with the application process.

You will have the opportunity to opt out of recording, transcription, and summarization prior to any scheduled interviews. We will not discriminate against you if you choose to opt out.

During the interview, we will collect the following categories of personal information from or about you: contact information, identifiers, professional and employment-related information, sensory information (audio/video recording), and any other categories of personal information you choose to share with us.  We will use this information to evaluate your application for employment.

We will only share your interview, transcription, or summary with persons whose expertise or technology is necessary to process your application, evaluate your fitness for a position, and administer or support the tool. We will not sell your personal information or disclose it to any third party for their marketing purposes.  For more information about how we will handle your personal information, please refer to our Privacy Disclosure.

We will delete any recording of your interview promptly but in no event later than 30 days after making a hiring decision.