Distinguished Engineer (Fintech)

Intellibus; Atlanta (GA); On-site; USD 110,208 - 137,760; Full time

Job summary

Intellibus is looking for a leader to join their Platform Engineering Team in Atlanta, Georgia. The individual will design high-performance wealth management platforms while mentoring engineering teams and ensuring system optimizations.

The ideal candidate will have at least 10 years of leadership experience in technology roles, a strong grasp of cloud platforms, and be proficient in Java and Python.

Compensation ranges from $80 to $100 an hour, depending on experience.

Qualifications

• 10+ years of leadership experience in technology roles in wealth management or fintech.
• Advanced knowledge of CI/CD pipelines and cloud platforms.
• Strong expertise in programming languages such as Java and Python.

Responsibilities

• Design and implement scalable wealth management platforms using Java and Python.
• Lead code reviews and system optimizations while mentoring engineering teams.
• Collaborate with quant analysts and data scientists to deploy AI/ML models.

Skills

Leadership

Java

Python

Cloud platforms (AWS/Azure/GCP)

Microservices architecture

Kafka

CI/CD

AI/ML deployment

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Terraform

Ansible

Snowflake

Job 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 that support the backbone of the Financial Trading Industry.

We are looking for a leader who can:

• 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, including integration interface design and REST API standards.
• 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 using Kafka topics and other event‑driven architecture patterns.
• 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 support best practices in event‑driven microservices (e.g., Kafka, RabbitMQ).
• Collaborate with quant analysts and data scientists to deploy AI/ML models for personalized financial advice.
• Evaluate and integrate emerging technologies such as blockchain for asset tokenization, NLP for client chatbots, and robo‑advisory tools.
• Optimize data pipelines for client reporting, performance analytics, and regulatory disclosures.
• Enhance security frameworks including OAuth, encryption protocols, and Zero Trust architectures.
• Architect solutions that support hybrid environments, ensuring seamless operations across on‑prem and AWS cloud infrastructures.
• 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:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field (Master’s preferred).
• Leadership Experience: 10+ 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.
• Deep expertise in REST-based microservices, Kafka for real-time data streaming, event‑driven systems, and relational/Snowflake databases.
• Proven ability to explore and implement new technologies such as AI, machine learning, blockchain, and data analytics.
• Previous experience in high‑growth or startup environments with adaptability to scaling demands.

We work closely with

• REST-based Microservices
• JPA, Hibernate
• Relational Databases
• SVG Libraries
• PDF Box
• Apache batiK
• SVN, GIT
• AWS
• Kafka

Compensation $80 - $100 / Hour