Senior Software Engineer - Java, AWS, & Distributed Systems

Bonus Type

Team Culture

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., with quarterly travel to Tulsa, OK.
• 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.

How You'll Spend Your Time

Role Summary

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.

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.

Education & 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.