Cloud Hybrid Technologies, LLC
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 FinTech 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, DevOps).
Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and event-driven architectures (Kafka, RabbitMQ).
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.
Qualifications and Experience
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 DevOps 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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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 FinTech 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, DevOps).
Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and event-driven architectures (Kafka, RabbitMQ).
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.
Qualifications and Experience
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 DevOps 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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