Principal Solutions Architecture

Request Technology, LLC; Chicago (IL); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Request Technology, LLC is seeking a Solutions Architect to build the next generation clearing systems for capital markets in Chicago. You will design architectures across distributed platforms, implement event-driven and microservices patterns, and guide data architecture and integration strategies from ideation through implementation.

Lead architecting efforts using Kafka, Protobuf, and IaC with Terraform, while collaborating with engineers to enforce standards and deliver high-throughput,

Qualifications

• BS degree in Computer Science or related field.
• Experience building high-throughput, low-latency data systems.
• Strong knowledge of Kafka and streaming architectures.
• Proficient in OO design, patterns, and microservices.
• Experience with OAuth2/OIDC, JWT, and identity providers.
• Familiarity with IaC tools like Terraform.

Responsibilities

• Design the applications’ architecture across distributed platforms using event-driven patterns.
• Define and enforce architectural standards across teams.
• Design streaming and batch data flows for real-time and scheduled processing.
• Shape message-based systems with Kafka for decoupled communication.
• Develop data architecture and integration strategies across systems.
• Own end-to-end solution architecture from ideation to implementation.

Skills

Java

Kafka

OO design

OAuth2/OIDC

Protobuf

Iceberg

Terraform

DevOps tooling

AWS/Kubernetes

Education

BS degree in Computer Science or related field

Tools

Terraform

Git

Jenkins

Docker

Artifactory

ArgoCD

AWS

Kubernetes

Apache Iceberg

Job description

LOCATION: CHICAGO, IL HYBRID 3 DAYS ONSITE

Looking for a Solutions Architect to build next generation clearing systems for capital markets. You’ll be working alongside experts that are building the next generation clearing system; and paving the future of digital transformation in the capital markets industry by:

• Design the applications’ architecture across distributed and enterprise technology platforms while leveraging patterns such as event-driven architecture, publish/subscribe messaging, and microservices while using infrastructure-as-code (IaC) practices to enable consistent, repeatable, and automated provisioning across environments.
• Define and enforce architectural standards, patterns, and best practices across engineering teams.
• Design streaming and batch-based systems that support both real-time and scheduled data flow across the organization.
• Shape and guide the architecture of message-based systems utilizing Kafka or similar platforms to enable reliable, decoupled, event-driven communication between services.
• Develop and oversee data architecture and integration strategies spanning streaming, batch, and message-based processing to ensure reliable, secure, and efficient data flow across systems.
• Own end-to-end solution architecture from ideation through implementation, including documentation of architectural decisions and system diagrams.

Qualifications:

Technical Skills:

• Software development experience in Java, Python, or C#, including building high-throughput, low-latency services for data-intensive or transaction-oriented systems
• Strong knowledge of Kafka or other messaging/streaming systems, including topic design, partitioning strategies, and producer/consumer patterns for reliable, event-driven communication.
• Fluent in object-oriented design principles, software design patterns, and modern architecture practices (e.g., microservices, event-driven architecture, domain-driven design), with the ability to apply them to real-world, large-scale systems.
• Knowledge of identity and access management using OAuth2/OIDC flows (client credentials, authorization code with PKCE), JWT-based token validation, and integration with identity providers (e.g., ForgeRock, SailPoint).
• Knowledge of schema management and data serialization formats, preferably Protocol Buffers (Protobuf), including schema evolution
• Understanding of data lake-house architecture and table formats such as Apache Iceberg
• Familiarity with Infrastructure as Code principles and tooling preferably Terraform to enable repeatable, automated environment design.
• Working knowledge of DevOps tooling and practices such as Git, Jenkins, Docker, Artifactory, ArgoCD, and others to support automated build, test, and deployment of distributed, containerized applications.
• Experience working with Cloud ecosystems (AWS, PaaS, K8s)
• BS degree in Computer Science, similar technical field, or equivalent practical experience.