Full-Stack Engineer

Job title: Full-Stack Engineer

About the Role BlackRock SMA Solutions is expanding its engineering team to own and operate a comprehensive data platform underpinning the SMA business. In this role, you will contribute across the full technology stack as a full-stack engineer, building user-facing applications, backend services, and scalable data pipelines to support a wide range of business needs.

What You'll Do

• Own feature development end-to-end, from front-end user interfaces to backend services and data layer enhancements
• Design, build, and maintain scalable applications and APIs that enable interaction with the firm's data platform
• Develop and enhance data pipelines and services that generate and consume data from diverse systems
• Collaborate with stakeholders to translate business needs into technical solutions and user-facing tools
• Support deployment, monitoring, and reliability of applications and services in production environments
• Troubleshoot issues in live systems and provide real-time support for critical problems
• Continuously improve platform capabilities through modernization and adoption of new technologies
• Write clean, maintainable, and well-documented code that can be easily understood by other team members
• Stay current with developments in technologies across front-end, backend, and data ecosystems

What We're Looking For

• BA/BS in Computer Science or equivalent practical experience
• At least 3+ years of post-university experience as a full-stack engineer
• Strong understanding of programming fundamentals algorithms, data structures, design patterns, and paradigms
• Proficiency in Python and experience building backend services or APIs
• Experience with web development and front-end frameworks (e.g., React, Angular, or similar)
• Solid knowledge of SQL and relational databases
• Experience designing and working with distributed systems or service-oriented architectures
• Ability to troubleshoot problems in live environments and provide real-time support
• Strong communication skills and ability to collaborate across business and technical teams
• Ability to work effectively in a fast-paced, interdisciplinary environment

Nice to Have

• Experience working in cloud environments (AWS, Azure, or GCP)
• Experience with data warehousing solutions (e.g., Snowflake) and large-scale analytics environments
• Familiarity with DAG-based job scheduling tools (e.g., Airflow)
• Experience with containerization and orchestration platforms (e.g., Docker, Kubernetes)
• Experience in the Financial Services industry

Compensation & Benefits

• Salary range: USD 132,500 - USD 162,000 per year
• Benefits including healthcare, leave benefits, and retirement benefits; pay-for-performance philosophy
• Hybrid work model: at least 4 days in the office per week and 1 day remote
• Additional benefits: strong retirement plan, tuition reimbursement, Flexible Time Off