Staff Software Engineer (API Integrations/AI Integration)

Aravo Solutions, Inc.•Austin, TX

1d•Hybrid

About The Position

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.

Requirements

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, GraphQL, and legacy SOAP systems)
Solid data modeling experience (SQL and NoSQL databases)
Strong foundation in security principles (authentication, authorization, secrets management)
Experience with distributed tracing (OpenTelemetry)
Familiarity with logging and monitoring tools (Prometheus, Grafana)
Experience defining and managing SLOs/SLAs
Participation in incident response and postmortem processes
Experience or exposure to Model Context Protocol (MCP)
Familiarity with LLM integrations, agent workflows, and AI-enabled systems
Understanding of secure design principles for AI interactions
Demonstrated ability to influence technical direction without direct authority
Strong mentorship, coaching, and team development skills
Ability to operate effectively in ambiguous and fast-paced environments

Nice To Haves

Experience leading large-scale platform modernization initiatives
Strong documentation practices and technical writing skills
Passion for emerging technologies, particularly AI-driven development patterns
Excellent collaboration and stakeholder management abilities
Continuous learner with a growth mindset and a bias toward innovation

Responsibilities

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-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
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