Java Software Engineer Jobs in Tulsa, OK (NOW HIRING)

In this role, you'll mentor the project team, share knowledge, and collaborate with the Solution Architect to determine project architecture. You'll lead in developing projects, promoting best programming practices, and have influence over developers. Lastly, you'll provide application support, develop and document applications, and maintain application documentation and configuration.

As a Senior Software Engineer, you'll be a hands-on technical leader and key contributor in a cross-functional team, often acting as a technical lead. You'll design, build, and operate Java Spring Boot microservices and RESTful APIs on AWS (as we migrate from on-prem),using event-driven architecture and data stores like SQL Server, PostgreSQL, MongoDB, and Redis. You'll drive execution, mentor others, and champion operational excellence.

Our mission is to empower our company, teammates, and customers through resilient, customer-centric technology. We leverage our technical expertise and deep business understanding to deliver impactful solutions.

Mindset

Ownership, customer obsession, growth mindset, think big - start small, bias for action, and relentless pursuit of engineering excellence.

Why Join Us

Remote Flexibility: Work from anywhere in the U.S.

Impact: Build platforms used across the business; modernize critical systems, development agentic-first solutions.

Growth: Leadership development, career advancement, and cutting-edge tech adoption.

Culture: Inclusive, collaborative, and innovation-driven.

Career Paths: Multiple advancement opportunities available.

Modern Software Development

Design & Build: Architect and implement Spring Boot microservices and RESTful APIs with best practices for domain-drive design, scalability, reliability, and maintainability.

Event-Driven Systems: Deliver features using event-driven architecture (Kafka, SNS/SQS/Kinesis), including publish/subscribe patterns, idempotency, retries, and error handling.

Data & Storage: Model schemas and access patterns for SQL Server, PostgreSQL, MongoDB, and Redis; optimize for correctness, performance, and cost.

Agentic AI-First Engineering

Develop using AI assisted- workflows with tools such as GitHub Copilot, Amazon Q, and Claude to accelerate coding, refactoring, documentation, and test generation.

Leverage agentic patterns for multistep tasks such as feature scaffolding, modernization, dependency analysis, and CI/CD interactions-with appropriate human-in-the-loop (HITL) controls.

Apply AI-assisted- PR review and security scanning, validating suggestions with engineering judgment and secure by design principles.

Continuously evaluate and improve how AI tools are used across the SDLC to increase throughput, quality, and developer experience.

Quality, Delivery & Operations

Quality Engineering: Own testing strategy-unit, integration, and contract tests-while enforcing CI quality gates.

CI/CD & Automation: Help shape next generation- pipelines as we transition to AWS EKS.

Observability & SRE: Instrument services using New Relic; define SLIs/SLOs and participate in a minimal on-call rotation.

Security by Design: Follow secure coding practices and remediate findings; PCI & SOX awareness is helpful.

Technical Leadership: Lead design reviews, mentor peers, and guide pull requests with a high bar for craftsmanship.

Operate What You Build: Practice build-it/run-it ownership from development through production.

This level of knowledge is normally acquired through the completion of a bachelor's degree in a technology field and/or 8+ years of related experience. Technology certifications are preferred. It is also preferred that the candidate have Banking and Financial Service experience.

Must-Have

5-8+ years of software engineering, with 3-5+ years designing and building secure Java Spring Boot microservices and RESTful APIs.

Production experience on AWS (compute, messaging, storage), event-driven patterns (Kafka, SNS/SQS/Kinesis), and container technologies (Docker, Kubernetes)

Proficiency with SQL Server or PostgreSQL.

Strong test discipline (unit/integration/contract), CI/CD pipelines, and code review excellence.

Experience with observability tools (New Relic, Datadog, Splunk, etc.) and incident response.

Nice-to-Have

Securing APIs with Spring Security and OKTA

Familiarity with AI-assisted development tools (GitHub Copilot, Amazon Q) and DevSecOps practices.

Experience building APIs integrated with Kong API Gateway, Apigee, or similar API Gateway

Experience with MongoDB, Redis, or similar NoSQL technology.

Experience building services deployed to Tomcat, Jetty, or similar Java Servlet containers.

Infrastructure-as-Code (Terraform/CDK), containers/orchestration (EKS/ECS), or serverless (Lambda) experience.

Experience with schema registries, CDC, or stream processing.

PCI & SOX awareness.