Bright Money - Site Reliability Engineer III - Cloud Infrastructure (5-8 yrs)

About Bright :

Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning. It is a mobile app that combines all the tools and tech needed to manage and get rid of debt. Bright's tools include credit score building, automated debt paydown plans, financial planning, budget. planning tools, and refinance loans.

It works with credit cards, student loans and car loans. Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews. Bright is backed by three major venture capital funds (Sequoia, Falcon Edge and Hummingbird) and with top angel investors from the US, UK and India, Bright has raised +$40 million in funding to date. Bright has recently raised $50M in debt funding from Encina Lender Finance, for its credit business growth. Encina Lender Finance provides lending solutions to consumer and commercial speciality finance companies across the U. and Canada. Today we are among the top 8 US FinTech companies.

We will become a top-100 US financial institution, with the unique strength of data science and predictive modeling to enhance financial products for a user's life outcomes. We will be the first at-scale Consumer Tech company, built in India for Global markets.

About Our Founders :

Bright was founded in 2019 by a founding team from McKinsey's Banking Practice (Petko Plachkov and AviPatchava) and InMobi Data Scientist (Avi Patchava, Varun Modi, Avinash Ramakath, Jayashree Merwade).

Key Responsibilities :

- Design, build, and maintain cloud infrastructure on AWS and/or GCP.

- Develop infrastructure as code using Terraform and configuration management tools like Ansible.

- Manage access controls and security configurations in the cloud.

- Implement and improve observability frameworks, leveraging Victoria Metrics/Prometheus, Grafana, and ELK Stack (Elasticsearch, Log stash, Kibana) for monitoring, logging, and metrics.

- Deploy, manage, and scale Kubernetes clusters to ensure high availability and performance.

- Automate operational processes using Bash and Python scripts to enhance efficiency and reduce manual intervention.

- Troubleshoot, diagnose, and resolve complex system issues related to networking, operating systems, and distributed services.

- Collaborate with development and product teams to improve system reliability and release pipelines.

- Optimize performance and scalability of cloud environments to meet business requirements.

- Participate in on-call rotations to provide support for production systems.

Required Skills & Qualifications :

- Coding Skills : Proficiency in Bash and Python for automation and scripting.

- Cloud Platforms : Hands-on experience with AWS and/or GCP.

- Infrastructure as Code (IaC) : Strong knowledge of Terraform for automating infrastructure provisioning.

- Configuration Management : Experience with Ansible or equivalent tools.

- Observability : Hands-on experience with monitoring tools (Victoria Metrics, Grafana) and logging systems (ELK Stack).

- Kubernetes : Practical experience deploying, managing, and troubleshooting Kubernetes clusters.

- Access Management : Strong understanding of AWS IAM for managing user permissions and security policies.

- Debugging & Troubleshooting : Strong problem-solving skills to debug and resolve complex system and network issues.

- Fundamentals : In-depth understanding of operating system concepts, networking protocols, and large-scale cloud infrastructure management.

- Experience : Minimum of 5 to 7 years working in an SRE role, managing large-scale cloud infrastructure in a production environment.

Preferred Qualifications :

- Experience with additional tools like Prometheus, Loki, or other monitoring solutions.

- Familiarity with CI/CD pipelines and DevOps best practices.

- Certifications in AWS, GCP, or Kubernetes are a plus.

- Previous experience working in fast-paced environments with a focus on automation and reliability.