Best Egg - Lead Software Engineer II – Java & Python
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Requirements
• 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 documentation and participate in design discussions. • Collaboration & Leadership • Strong communication skills with the ability to collaborate across teams. • Comfort working in Agile environments with iterative delivery and shared ownership. • Ability to bring clarity to complex situations and drive work forward with teammates. • You are a hands-on engineer who enjoys building reliable systems and helping others grow. You are collaborative, curious, and proactive in improving both the product and the engineering process. You balance solid technical judgment with the willingness to dive into details. You’re motivated by delivering value, enhancing system quality, and contributing steadily to a strong engineering culture. • $100,000 - $135,000 a year • In addition to semi-monthly salary payments, this position is also eligible for an annual incentive bonus based on individual and company performance. Yearly incentive bonus target 20% of base salary.
Responsibilities
• 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. • 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 • 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.
Benefits
• Best Egg offers many additional benefits for our employees, including (but not limited to): • · Pre-tax and post-tax retirement savings plans with a competitive company matching • · Generous paid time-off plans including vacation, personal/sick time, paid short-- • term and long-term disability leaves, paid parental leave, and paid company • · Multiple health care plans to choose from, including dental and vision options • · Flexible Spending Plans for Health Care, Dependent Care, and Health • Reimbursement Accounts • · Company-paid benefits such as life insurance, wellness platforms, employee • assistance programs, and Health Advocate programs • · Other great discounted benefits include identity theft protection, pet insurance, • fitness center reimbursements, and many more! • In compliance with the CCPA, Best Egg is fully committed to handling the personal information and data of employees and job applications responsibly with respect and due care. Review our CCPA Employee Policy here • We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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