Associate, Full Stack Engineer

About this role

Team Overview

Black Rock SMA Solutions helps clients customize portfolios for unique tax, values-alignment, or investment exposures across direct indexing, fixed income, active equity, and multi-asset. We deliver world-class service to all of our clients, from wealth advisors to family offices to endowments and foundations.

About this Role:

At Black Rock SMA Solutions we are obsessed with our clients: we put them front and central to everything we do. The focus of this role is to contribute to the Black Rock codebase, collaborate with users to identify their needs, and help them to be more efficient. Our platform is called Arya and is based on a microservices architecture with our web application as the interface with users.

The web application is built using React and our microservices are written in Python. Therefore, you can expect a lot of Python and Typescript programming. We practice agile software development and work in two-week sprints. This role will work closely with all other members of our technology team as well as members of our project management team and end users.

The role is perfectly suited for an aspiring true full stack developer that enjoys working on all parts of the tech stack.

Key Responsibilities:

+ Fully own feature development, from adding features to the front end of our web application to adding capabilities in microservices to adding structures in the relational database

+ Design and develop elements of the microservices ecosystem that provide functionality for equity portfolio construction tools for direct indexing

+ Support building and releasing software components and deploying them to a k8s cluster

+ Troubleshoot problems in a live environment and provide real-time help with critical issues

+ Provide continuous improvements to our enterprise fintech platform through modernization of current components and choice of contemporary technologies and enterprise third party components

+ Write code that is easily understood and maintainable by other team members

+ Keep up to date with developments in the technologies we use

Qualifications:

+ Solid knowledge of programming fundamentals-algorithms, data structures, design patterns, and paradigms

+ Web development experience, with strong understanding of front-end and back-end ecosystems

+ At least three to four years of experience in a similar role

+

Experience with modern object-oriented languages (Python, Java, C#, Kotlin, Swift, etc.)

+ Experience in an Amazon Web Services (AWS) ecosystem

+ Familiarity with relational databases and SQL

+ Strong written and verbal communication skills

+ Ability to communicate and work effectively, supporting various business departments

+ Ability to work in fast-paced interdisciplinary environment

For SF4-San Francisco - 400 Howard Street Only the salary range for this position is USD$ - USD$ . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. Black Rock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits  To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

Black Rock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities.

We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at Black Rock.

Guidance on AI use for candidates

At Black Rock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided  guidance  on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.

About Black Rock

At Black Rock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their…