Associate, Full Stack Engineer
AI in this role
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
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 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 BlackRock
At BlackRock, 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 children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
We recruit, hire, train, promote, pay, and administer all personnel actions without regard to race, color, religion, sex (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), sex stereotyping (including assumptions about a person’s appearance or behavior, gender roles, gender expression, or gender identity), gender, gender identity, gender expression, national origin, age, mental or physical disability, ancestry, medical condition, marital status, military or veteran status, citizenship status, sexual orientation, genetic information, or any other status protected by applicable law. We interpret these protected statuses broadly to include both the actual status and also any perceptions and assumptions made regarding these statuses.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.How we rate this
Associate, Full Stack Engineer at BlackRock rates 53 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used Claude in your day-to-day work.
- What are the limits of Copilot that you've run into, and how did you work around them?
- What's a project where you used Cursor hands-on?
- Walk me through how you've used Windsurf in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Agents, Claude, Copilot, Cursor, and Windsurf. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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