Staff Cloud Services Engineer - Java/AWS Backend Lead

Quicken Inc; Menlo Park (CA); On-site; USD 175,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and performance

401(k) with 5% employer match

Exceptional health insurance benefits

Onsite meals

Education reimbursement

Job summary

Quicken Inc in Menlo Park, CA is seeking an experienced Staff Software Engineer to join the Cloud Services team and help drive the future of our SaaS offerings. You will contribute high-quality backend code in Java, Spring, and AWS, delivering scalable, production-ready services that power Quicken Cloud.

This hands-on role requires mentoring juniors, collaborating with cross-functional partners, and applying modern software engineering practices to solve complex problems at scale.

Qualifications

• 8+ years of software engineering experience, including a successful track record developing customer-facing SaaS/PaaS products.
• 5+ years working experience in core Java, Spring Framework and AWS.
• 3+ years working experience within microservice architecture, specifically utilizing REST services and JSON.
• Extensive experience in developing applications that are deployed in AWS.
• Excellent understanding of O/R mapping concepts and tools (Hibernate, JPA).
• Capable of handling ambiguous business requirements with excellent prioritization and time management abilities.
• Strong experience as a leader, driving toward solutions for the short and long term in collaboration with internal and external partners.
• Fluent in Databases/SQL (MySQL experience preferred).
• Excellent programming discipline: data structures, complexity analysis, object-oriented principles, design patterns, and unit testing.
• Excellent knowledge of the development challenges inherent with highly scalable and available web/mobile applications.
• Experience with API development and integration with 3rd-party services is preferred.
• Ability to work well with others in a geographically distributed team.
• Team player with can-do attitude to independently own and drive projects.
• Experience mentoring junior engineers.
• Exceptional verbal and written communication skills.
• BS/MS in Computer Science/Engineering or equivalent.

Responsibilities

• Staff Software Engineer is a technical hands-on role, with responsibilities ranging from being at the vanguard of solving technical problems to venturing into unchartered areas of technologies to solve complex problems.
• Directly responsible for consistently delivering high-quality, scalable, production-ready backend/server code in Java for Quicken Cloud Services by implementing best practices in software engineering, including coding standards, testing and deployment procedures.
• Partner closely with a cross-functional team of key stakeholders (Engineers, Architects, Product Managers, QA, Operations, and Business Partners) to design and implement end-to-end solutions that meet user needs as well as engineering/operational/business goals.
• Display a passion for high quality, continuous learning, and experimenting and applying cutting-edge technology, software paradigms, and engineering process improvements, while fostering this culture across the team.
• Mentor junior developers using expertise in software development methodology and frameworks, in areas such as quality, security, and scalability.

Skills

Leadership

Mentoring

Collaboration

Communication

Problem solving

Education

BS/MS in Computer Science/Engineering or equivalent

Tools

Java

Spring Framework

AWS

REST APIs

Hibernate/JPA

Microservices

Job description

Quicken Inc in Menlo Park, CA is seeking an experienced Staff Software Engineer to join the Cloud Services team and help drive the future of our SaaS offerings. You will contribute high-quality backend code in Java, Spring, and AWS, delivering scalable, production-ready services that power Quicken Cloud.

This hands-on role requires mentoring juniors, collaborating with cross-functional partners, and applying modern software engineering practices to solve complex problems at scale.