Java Solutions Architect
Listed on 2026-01-02
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IT/Tech
Data Engineer, Cloud Computing
Responsibilities
- Design and implement high-performance, scalable wealth management platforms using Java, Python, and cloud-native technologies (AWS/Azure/GCP).
- Architect microservices-based solutions for portfolio analytics, client onboarding, and trading systems.
- Integrate Fin Tech APIs (e.g., Bloomberg, Reuters, Plaid) and third-party custodial/payment systems.
- Ensure low-latency data processing for real-time risk assessment and rebalancing algorithms.
- Lead code reviews, system optimizations, and adoption of best practices (TDD, CI/CD, Dev Ops).
- Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and event-driven architectures (Kafka, Rabbit
MQ). - Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
- Evaluate and integrate emerging technologies (blockchain for asset tokenization, NLP for client chatbots, robo-advisory tools).
- Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
- Enhance security frameworks (OAuth, encryption, Zero Trust) to protect sensitive financial data.
- Educational Background:
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred). - Leadership
Experience:
8+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry. - Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
- Strong knowledge of programming languages such as Java and Python.
- Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
- Certifications:
Relevant certifications (e.g., AWS Certified Dev Ops Engineer, CISSP) are highly valued. - Innovation
Skills:
Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics. - Startup
Experience:
Previous experience in high-growth or startup environments with adaptability to scaling demands.
Cloud Hybrid is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Cloud Hybrid will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters.
Nor will Cloud Hybrid require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract
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