BlackRock Logo

BlackRock

Java Application Engineer, Aladdin Wealth Technology, Associate

Reposted 13 Hours Ago
Be an Early Applicant
In-Office
Mumbai, Maharashtra
Senior level
In-Office
Mumbai, Maharashtra
Senior level

About this role

About the team:

Aladdin Wealth Technology (AWT) builds technology for wealth management, helping wealth managers and financial advisors deliver personalized portfolio experiences and improve client engagement.

This role sits within the team supporting My Managed Accounts (MMA), a platform that enables advisors and internal users to view, manage, enroll, and service accounts.

You will work on backend services, integrations, and workflow capabilities that support scalable user experiences.

As a member of the team, you are expected to be:

  • Tenacious: Thrive in a fast-paced, highly complex environment.
  • A creative thinker: Evaluate multiple solutions and apply technologies flexibly, including leveraging AI where it adds value.
  • A great teammate: Collaborate effectively and communicate clearly across teams.
  • A fast learner: Quickly grasp new concepts, especially in the rapidly evolving AI landscape, and apply them effectively.
  • AI-minded and forward-thinking: Actively explore and adopt AI tools, frameworks, and practices to enhance engineering productivity and product capabilities.

What you’ll do:

  • Design and build scalable microservices using Java (Spring Boot).
  • Collaborate across engineering, product, and business teams to deliver impactful solutions.
  • Apply AI-driven tools and approaches to enhance development, automation, and product capabilities.
  • Solve complex problems and continuously improve system performance and reliability.

What we’re looking for:

  • 5+ years of experience with Java/Spring Boot and microservices architecture.
  • Strong problem-solving skills.
  • Strong written and verbal communication skills are required.
  • Experience designing and building scalable microservices using API-first principles (REST/gRPC).
  • Experience with Java 17+ is preferred.
  • Demonstrated experience with modern engineering tools (Git, Maven, unit and integration testing, mocking frameworks).
  • Solid experience with object‑oriented design and applying standard design patterns.
  • Interest or experience in AI/ML or AI-assisted development
  • Experience with message brokers such as Kafka is a plus.
  • Experience in React or similar, and modern JavaScript/TypeScript is a plus.
  • A proactive, learning-oriented attitude and enthusiasm for innovation
  • A collaborative mindset, with a drive to build high‑quality software efficiently
  • A friendly, positive, and can‑do attitude.

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 Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

BlackRock London, England Office

Drapers Gardens, 12 Throgmorton Avenue, London, United Kingdom, United Kingdom, EC2N 2DL

Similar Jobs at BlackRock

5 Hours Ago
In-Office
Senior level
Senior level
Fintech • Information Technology • Financial Services
Lead design and delivery of enterprise data platform capabilities, building scalable ingestion, transformation and orchestration pipelines using Python, Airflow, Snowflake and dbt. Drive metadata, lineage, data quality, observability, and Agentic AI integrations; support production L2/L3 operations, CI/CD deployments, POCs, cross-functional integration, and mentor engineering teams within an Agile framework.
Top Skills: AntigravityApache AirflowApache IcebergAWSAzureCi/CdCursorDbtDockerGCPGitKafkaKubernetesModel Context Protocol (Mcp)PythonRagSnowflakeSnowpipeSQLVector DatabasesWindsurf
11 Hours Ago
In-Office
Mid level
Mid level
Fintech • Information Technology • Financial Services
Deliver customized portfolio risk and performance reports for financial advisors, customize model portfolios, analyze product performance and market data across asset classes, support ad-hoc reporting, document processes, and drive automation and efficiency improvements while meeting quality and timeline standards.
Top Skills: Crm SystemsExcelMorningstarPower BIPowerPointPythonRisk Reporting ToolsTableauVBAWord
15 Hours Ago
In-Office
Mid level
Mid level
Fintech • Information Technology • Financial Services
Partner with investors to design, build, and productionize AI-powered research applications (LLM workflows, RAG, vector search, fine-tuning). Own architecture, data pipelines, backend integration, UX, monitoring, and AI safety/reliability practices from POC to production.
Top Skills: Cloud PlatformsEmbeddingsEntity ExtractionFine-TuningGenerative AiLlmsMonitoring/ObservabilityOpen-Source Language ModelsPrompt EngineeringPythonRagSQLText2SqlVector Search

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account