Software Engineer; API Integrations​/AI Integration in Austin

Location: Hybrid
- Employees may be required to work out of the nearest office location for quarterly meetings 1-4 times annually.

We are seeking a Staff Software Engineer – Integration & Platform (Java/Spring) to serve as a technical anchor for our Integration & Platform team. This individual will lead the architecture and evolution of critical backend services, define and uphold engineering standards, and drive the modernization of our Java/Spring Boot ecosystem toward cloud- and AI-enabled workflows. The ideal candidate brings deep expertise in distributed systems, cloud infrastructure, and API/integration design, along with strong leadership capabilities.

They will possess exceptional communication and problem‑solving skills and thrive in a fast‑paced, highly collaborative environment while influencing technical direction without direct authority.

• Own, design, and evolve distributed backend services using Java and Spring Boot
• Architect systems for scalability, reliability, performance, and observability
• Drive and document architectural decisions through ADRs, RFCs, and other technical artifacts
• Establish and enforce engineering standards, design patterns, and best practices

• Define and implement cloud-architecture patterns across environments
• Lead adoption and optimization of:
  • Infrastructure as Code (Terraform, CDK)
  • Containerization and orchestration (Kubernetes)
  • Service mesh technologies (Istio, Linkerd)
• Optimize systems for resilience, cost efficiency, and operational excellence

• Design, build, and scale multi‑tenant RESTful APIs and integration services
• Lead modernization initiatives, including legacy SOAP to REST migrations
• Define, standardize, and enforce API governance and best practices
• Architect and implement integration patterns including:
  • Webhooks
  • Event‑driven systems (Kafka, Kinesis)
  • External system connectivity frameworks

• Design and implement Model Context Protocol (MCP) server/client patterns
• Enable secure interactions between LLM agents and internal systems, databases, and tools
• Ensure AI integrations are safe, observable, governed, and scalable
• Contribute to evolving AI‑driven platform capabilities

• Elevate standards for code quality, peer reviews, and maintainability
• Define and promote robust testing strategies (unit, integration, performance)
• Improve observability, monitoring, and on‑call practices
• Mentor senior engineers and provide technical leadership across teams

• Partner closely with Product, Infrastructure, and Integration teams
• Translate ambiguous business requirements into clear technical solutions and roadmaps
• Communicate technical trade‑offs effectively to both technical and non‑technical stakeholders
• Actively participate in Agile/Scrum ceremonies and planning processes

• 8+ years of hands‑on Java development in production environments
• Deep expertise with Spring Boot and Spring Cloud ecosystems
• Strong understanding of JVM internals, performance tuning, concurrency, and multithreading

• Hands‑on experience with AWS, GCP, or Azure
• Strong experience with Kubernetes and containerized deployments
• Proficiency in Infrastructure as Code (Terraform or CDK)
• Experience building and maintaining CI/CD pipelines at scale
• Familiarity with service mesh architectures

• Proven experience designing and scaling distributed systems
• Strong understanding of event‑driven architectures (Kafka, Kinesis)
• Expertise in API design (REST, Graph
  
  QL, and legacy SOAP systems)
• Solid data modeling experience (SQL and No
  
  SQL databases)
• Strong foundation in security principles (authentication, authorization, secrets management)

• Experience with distributed tracing (Open Telemetry)
• Familiarity with logging and monitoring tools (Prometheus, Grafana)
• Experience defining and managing SLOs/SLAs
• Participation in incident response and postmortem processes

• Exp…