Lead Software Engineer II – Java & Python
Best Egg is a market-leading, tech-enabled financial platform helping people build financial confidence through a variety of installment lending solutions and financial health tools. We aim to help customers make smart financial decisions and stay on track, so they can be money confident no matter what life throws at them. We offer top-tier benefits and growth opportunities in a culture built on our core values: Put People First – We foster an inclusive, flexible, and fun workplace. Create Clarity – Open communication drives trust and results. Get Things Done – We focus, prioritize, and deliver with excellence. Deliver with Heart – We lead with kindness, humility, and strong teamwork. Listen to Our Customers – Their needs drive our innovation. Barclays has entered into an agreement to acquire Best Egg with closing expected to take place in Q2 2026. This acquisition will give us the resources and capital to continue on our mission and drive our strategy forward. With an aligned culture, lower cost of funds, and increased employee growth opportunities across a global brand, we are excited about the future of the Best Egg brand under the Barclays umbrella. We are looking for collaborative, innovative team players who like to solve problems. There will also be immense opportunities for those willing to dive in. If you're inspired by growth and want to make a real difference, Best Egg is the place for you. We’re proud to be an equal opportunity employer committed to building a diverse, inclusive team. Role Overview The Lead Software Engineer II plays an important role in building and enhancing engineering solutions across the organization. This role focuses on designing and delivering reliable, high-quality software while contributing to technical discussions, improving engineering practices, and supporting team execution. You will work closely with senior engineers and architects to implement scalable, secure, and maintainable systems.
What You Will Do
Technical Delivery & Engineering Excellence
- Design, develop, and deliver high-quality software iteratively and incrementally.
- Works closely with senior leaders to shape solutions.
- Ensure software follows modern engineering practices, including clean code, testing, automation, and cloud-native patterns.
- Support continuous improvement in code quality, reliability, performance, and developer experience.
- Cloud Engineering & Operational Support
- Build and enhance distributed, event-driven, and cloud-native solutions in AWS.
- Apply cloud best practices—security, cost awareness, performance, and operational efficiency—under guidance of senior engineers.
- Contribute to observability through metrics, logging, tracing, dashboards, and alerts.
- Assist in performance tuning, resiliency improvements, and troubleshooting production issues to ensure system stability.
- Team Collaboration & Mentorship
- Collaborate effectively with Product, Architecture, InfoSec, and DevOps to deliver well-aligned solutions.
- Contribute to a culture of learning, curiosity, and continuous improvement within the engineering team.
What Success Looks Like In the first 90 days:
- Deliver high-quality, production-ready code and contribute meaningfully to team goals.
- Build strong working relationships within the engineering and product teams.
In 6–12 months:
- Co ownership of core components or services.
- Co Lead development of one or more important services with increasing autonomy.
- Help improve system performance, scalability, and reliability.
What You Bring
- 4 - 6 years of professional software engineering experience.
- Strong backend development experience with Java and Python.
- Solid understanding of SQL, data modeling, and query optimization.
- Working knowledge of AWS cloud architecture, services, and best practices.
- Experience with modern databases (relational and NoSQL) such as DynamoDB, RDS, PostgreSQL, DocumentDB.
- Familiarity with CI/CD pipelines, Docker, and container orchestration systems (ECS/EKS preferred).
- Experience with monitoring/observability tools such as CloudWatch or Datadog.
- Ability to produce clear technical documentati
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