Backend Engineer
$150K/yr – $189K/yr
You'll complete your application on the employer's website.
$150K/yr – $189K/yr
You'll complete your application on the employer's website.
Job type
Salary
$150K/yr – $189K/yr
Location
Sector
Role
Posted
26 days ago
Wealthfront is a company focused on creating a financial system that benefits individuals through innovative technology. They are seeking a Backend Engineer to join their core product development teams, responsible for designing and building backend features, improving code maintainability, and ensuring the reliability of critical systems in production.
Responsibilities
You’ll work with other engineers to design and build new features or enhance existing features
This work will add capabilities to the various backend systems and services that support Wealthfront’s products, and will be done with automated instrumentation and monitoring to require minimal operational maintenance
You’ll help improve the maintainability and stability of our codebase by fixing issues and adding necessary enhancements to our existing backend systems
You’ll ensure that mission critical backend systems and services operate smoothly in production by triaging and resolving operational issues as part of a team of on-call engineers
You’ll proactively identify opportunities for improving the reliability and scalability of our systems
Additionally, you might play a part in evolving the engineering organization by participating in recruiting activities such as interviewing and attending career fairs and providing mentorship to other engineers on the team
Preferred
Experience working with Spark pipelines
Knowledge of an ORM technology such as Hibernate
Working with a dependency injection framework (one of Guice, Spring, Pico, Dagger)
Spark pipelines
ORM technology
Hibernate
Dependency injection framework
Guice
Spring
Pico
Dagger
Benefits
Equity
A discretionary bonus
Medical
Vision
Dental
401K plan
Generous time off
Parental leave
Wellness reimbursements
Professional development
Employee investing discount
Company
Automated investing and savings platform
Palo Alto, California, USA
https://www.wealthfront.com/
Founded in 2011
201-500 employees
Qualifications
2-6 years of experience in developing backend components, services or APIs in Java or a similar language
Knowledge and understanding of distributed systems and functional programming paradigms
Knowledge of SQL and experience working with online data stores (ideally something like MySQL, MariaDB, PostgreSQL, Oracle, MS SQL Server but NoSQL is okay)
Passion for agile, test-driven development, continuous integration and automated testing
Passion for working on platforms and backend systems that have measurable business impact
Ability to work in a fast paced cross functional environment
Either a BS or MS in computer science or related field
Experience working with Spark pipelines
Knowledge of an ORM technology such as Hibernate
Working with a dependency injection framework (one of Guice, Spring, Pico, Dagger)
Required skills
Represents the skills you have, click on the tags, Java, Distributed systems, Functional programming, SQL, MySQL, MariaDB, PostgreSQL, Oracle, MS SQL Server, NoSQL, Spark pipelines, Hibernate, Guice, Spring, Pico, Dagger, Passion for agile development
Preferred skills
Experience working with Spark pipelines, Knowledge of an ORM technology such as Hibernate
Experience
2-6 years
Interested in this role?
Apply directly on the employer's website — it only takes a few minutes.
Other roles in Palo Alto, CA or IT & Technology
We are looking for a systems-minded engineer to help advance our kernel development, performance engineering, and hardware-software co-design capabilities, with a particular focus on AI-assisted workflows and tooling.
We’re looking for dedicated, experienced, and deeply curious individuals to help solve some of the most complex challenges faced by our customers while building the future of post-AGI support alongside us.
Competitive
As a Staff Engineer on Payment Intelligence, you’ll work across our product portfolio to ensure we’re building in a consistent, efficient, and effective manner. Experience with large, distributed systems on the critical path will help candidates succeed, as will comfort working across the stack and interacting with ML…