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Software Engineer; API Integrations​/AI Integration

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Aravo Solutions, Inc.
Full Time position
Listed on 2026-05-13
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Staff Software Engineer (API Integrations/AI Integration)

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

Aravo Solutions, Inc., provides leading third-party risk management (TPRM), ESG, and vendor lifecycle management solutions powered by intelligent automation software and designed to meet the needs of TPRM teams at Global 2000 enterprises.

At Aravo, we believe that in an increasingly interconnected world, managing risk is a critical pillar of global resilience. Traditional, manual approaches to TPRM can no longer keep pace with today’s scale and speed of disruption. That’s why we have pioneered an Intelligence-First approach.

Trusted by millions of third‑party users in 195+ countries, Aravo provides guidance for the most complex third‑party networks in the world, helping them mitigate risk, build business resilience, and protect their reputations. We are fundamentally redesigning how organizations see, understand, and act on risk by embedding AI directly into the core of their workflows.

Joining Aravo means working at the forefront of AI in TPRM and collaborating with a team that views AI as a partner, not a replacement. You will have the opportunity to work alongside industry experts, leverage the latest technologies, and contribute to shaping the future of third‑party risk management!

Position Overview

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‑native 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.

Key Responsibilities Platform Architecture & Engineering Leadership
  • 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
Cloud & Infrastructure Leadership
  • Define and implement cloud‑native 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
Integration & API Platform Development
  • 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
MCP & AI Integration (Emerging Capabilities)
  • 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
Engineering Excellence & Quality
  • 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
Cross‑Functional Collaboration
  • 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…
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