About this role
Team Overview
BlackRock 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 our clients, from wealth advisors to family offices to endowments and foundations.
Our engineering culture emphasizes innovation, automation, and AI-powered productivity, enabling teams to deliver high-quality solutions faster while continuously improving the developer experience.
Why Join Us
- Work in a modern engineering environment leveraging AI at scale
- Contribute to high-impact fintech products used by global clients
- Be part of a team focused on developer productivity, platform modernization, and innovation
- Gain hands-on experience with cutting-edge tools shaping the future of software engineering
About this Role
At BlackRock SMA Solutions, we are client-obsessed and place user needs at the center of everything we build. This role contributes directly to the evolution of our Arya platform - a modern fintech solution supporting portfolio construction and management.
As a Full Stack Engineer, you will work across our React-based web application and Python microservices architecture, leveraging AI-assisted development tools and automation frameworks to accelerate delivery and improve quality.
You will operate in an agile environment with two-week sprints, collaborating closely with engineering, product, and end users to continuously enhance platform capabilities.
This role is ideal for engineers who are excited to:
- Work across the full technology stack
- Utilize AI tools to accelerate development
- Drive innovation and engineering excellence
Key Responsibilities
- Own end-to-end feature development across front-end, back-end microservices, and data layers
- Design and develop microservices powering investment portfolio construction and direct indexing solutions
- Build, deploy, and maintain services within a Kubernetes-based cloud environment
- Troubleshoot production issues and provide support for high-availability systems
- Continuously modernize platform components and adopt best-in-class technologies
- Leverage AI coding assistants and agentic workflows to accelerate feature development, testing, and debugging while maintaining high engineering standards
Qualifications
Required
- Strong foundation in computer science fundamentals (algorithms, data structures, design patterns)
- Full stack web development experience across modern web and backend ecosystems
- At least 3 years of experience in a software engineering role
- Experience in modern object-oriented programming languages (Python, Java, C#, Kotlin, Swift, etc.)
- Familiarity with relational databases and SQL
- Strong communication and collaboration skills
- Ability to thrive in a fast-paced, interdisciplinary environment
Preferred
- Experience using AI-assisted development tools (e.g., Windsurf/Devin, Cursor, Claude Code, GitHub Copilot) is a plus
- Experience working in AWS or similar cloud environments
- Experience with Kubernetes and containerization
For San Francisco, CA Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock 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
BlackRock’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 BlackRock.
Guidance on AI use for candidates
At BlackRock, 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 on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
