

Distinguished Engineer (Fintech Consulting)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Distinguished Engineer (Fintech Consulting) with a contract length of "unknown" and a pay rate of "unknown". Requires 10+ years of leadership in fintech, expertise in Java, Python, AWS/Azure/GCP, and relevant certifications. Hybrid work location.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 3, 2025
π - Project duration
Unknown
-
ποΈ - Location type
Hybrid
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
Washington DC-Baltimore Area
-
π§ - Skills detailed
#Unix #Data Processing #Pandas #Java #AWS (Amazon Web Services) #Kafka (Apache Kafka) #Microservices #Leadership #Programming #Cloud #ML (Machine Learning) #DevOps #Automation #Data Pipeline #Linux #REST API #AI (Artificial Intelligence) #Snowflake #Databases #GIT #Python #Hibernate #Consulting #REST (Representational State Transfer) #Terraform #Ansible #Scala #Computer Science #JPA (Java Persistence API) #Code Reviews #NLP (Natural Language Processing) #Spring Boot #API (Application Programming Interface) #Azure #Data Science #Django #Security #GCP (Google Cloud Platform) #Libraries
Role description
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We are looking forward to you joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.
We are looking for a leader who can:
β’ Design and implement high-performance, scalable wealth management platforms using Java, Python, and cloud-native technologies (AWS/Azure/GCP).
β’ Architect microservices-based solutions for portfolio analytics, client onboarding, and trading systems, including integration interface design and REST API standards.
β’ Integrate FinTech APIs (e.g., Bloomberg, Reuters, Plaid) and third-party custodial/payment systems.
β’ Ensure low-latency data processing for real-time risk assessment and rebalancing algorithms using Kafka topics and other event-driven architecture patterns.
β’ Lead code reviews, system optimizations, and adoption of best practices (TDD, CI/CD, DevOps).
β’ Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and support best practices in event-driven microservices (e.g., Kafka, RabbitMQ).
β’ Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
β’ Evaluate and integrate emerging technologies such as blockchain for asset tokenization, NLP for client chatbots, and robo-advisory tools.
β’ Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
β’ Enhance security frameworks including OAuth, encryption protocols, and Zero Trust architectures.
β’ Architect solutions that support hybrid environments, ensuring seamless operations across on-prem and AWS cloud infrastructures.
β’ Design professional slide decks, architectural diagrams, and visual content using PowerPoint, Canva, and other tools to support client communications and internal stakeholder engagement effectively.
Qualifications and Experience:
β’ Educational Background: Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field (Masterβs preferred).
β’ Leadership Experience: 10+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry.
β’ Technical Expertise:
β’ Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
β’ Strong knowledge of programming languages such as Java and Python.
β’ Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
β’ Certifications: Relevant certifications (e.g., AWS Certified DevOps Engineer, CISSP) are highly valued.
β’ Deep expertise in REST-based microservices, Kafka for real-time data streaming, event-driven systems, and relational/Snowflake databases.
β’ Innovation Skills: Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
β’ Startup Experience: Previous experience in high-growth or startup environments with adaptability to scaling demands.
We work closely with
β’ Java 8
β’ REST-based Microservices
β’ JPA,Hibernate
β’ Relational Databases
β’ SVG Libraries
β’ Java AWT API
β’ Apache XmpBox
β’ Pdf box
β’ Apache batiK
β’ SVN, GIT
β’ AWS
β’ Kafka
β’ Linux / Unix
Our Process
β’ Schedule a 15 min Video Call with someone from our Team
β’ 4 Proctored GQ Tests & Slideware (< 2 hours)
β’ 30-45 min Final Video Interview
β’ Receive Job Offer
If you are interested in reaching out to us, please apply, and our team will contact you by the end of the day.
Imagine working at Intellibus to engineer platforms that impact billions of lives around the world. With your passion and focus we will accomplish great things together!
We are looking forward to you joining our Platform Engineering Team.
Our Platform Engineering Team is working to solve the Multiplicity Problem. We are trusted by some of the most reputable and established FinTech Firms. Recently, our team has spearheaded the Conversion & Go Live of apps which support the backbone of the Financial Trading Industry.
We are looking for a leader who can:
β’ Design and implement high-performance, scalable wealth management platforms using Java, Python, and cloud-native technologies (AWS/Azure/GCP).
β’ Architect microservices-based solutions for portfolio analytics, client onboarding, and trading systems, including integration interface design and REST API standards.
β’ Integrate FinTech APIs (e.g., Bloomberg, Reuters, Plaid) and third-party custodial/payment systems.
β’ Ensure low-latency data processing for real-time risk assessment and rebalancing algorithms using Kafka topics and other event-driven architecture patterns.
β’ Lead code reviews, system optimizations, and adoption of best practices (TDD, CI/CD, DevOps).
β’ Mentor engineering teams in Java/Python frameworks (Spring Boot, Django, Pandas) and support best practices in event-driven microservices (e.g., Kafka, RabbitMQ).
β’ Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
β’ Evaluate and integrate emerging technologies such as blockchain for asset tokenization, NLP for client chatbots, and robo-advisory tools.
β’ Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
β’ Enhance security frameworks including OAuth, encryption protocols, and Zero Trust architectures.
β’ Architect solutions that support hybrid environments, ensuring seamless operations across on-prem and AWS cloud infrastructures.
β’ Design professional slide decks, architectural diagrams, and visual content using PowerPoint, Canva, and other tools to support client communications and internal stakeholder engagement effectively.
Qualifications and Experience:
β’ Educational Background: Bachelorβs or Masterβs degree in Computer Science, Engineering, or a related field (Masterβs preferred).
β’ Leadership Experience: 10+ years of progressive leadership in technology roles within the wealth management, fintech, or financial services industry.
β’ Technical Expertise:
β’ Advanced experience with CI/CD pipelines, cloud platforms (AWS, Azure, GCP), and automation tools (e.g., Terraform, Ansible).
β’ Strong knowledge of programming languages such as Java and Python.
β’ Expertise in REST-based microservices, Kafka for real-time data streaming, and Snowflake & relational databases.
β’ Certifications: Relevant certifications (e.g., AWS Certified DevOps Engineer, CISSP) are highly valued.
β’ Deep expertise in REST-based microservices, Kafka for real-time data streaming, event-driven systems, and relational/Snowflake databases.
β’ Innovation Skills: Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
β’ Startup Experience: Previous experience in high-growth or startup environments with adaptability to scaling demands.
We work closely with
β’ Java 8
β’ REST-based Microservices
β’ JPA,Hibernate
β’ Relational Databases
β’ SVG Libraries
β’ Java AWT API
β’ Apache XmpBox
β’ Pdf box
β’ Apache batiK
β’ SVN, GIT
β’ AWS
β’ Kafka
β’ Linux / Unix
Our Process
β’ Schedule a 15 min Video Call with someone from our Team
β’ 4 Proctored GQ Tests & Slideware (< 2 hours)
β’ 30-45 min Final Video Interview
β’ Receive Job Offer
If you are interested in reaching out to us, please apply, and our team will contact you by the end of the day.