Staff Software Engineer – API Integrations, AI Integration

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🕒 April 20

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Aravo Solutions - Integrated Risk & Resilience

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2001

📋 Compliance

🏢 Enterprise

🔐 Security

Compliance • Enterprise • Security

Aravo Solutions - Integrated Risk & Resilience is a technology company that offers leading third-party risk management solutions. Their platform is designed to address governance, risk, and compliance challenges, utilizing advanced features like machine learning and artificial intelligence to optimize processes and improve efficiency. Aravo Solutions supports businesses in various sectors, ensuring compliance with regulations such as GDPR and the German Supply Chain Due Diligence Act. Their tools aid in streamlining vendor management, enhancing supply chain resilience, and ensuring third-party alignment with security and privacy requirements.

📋 Description

• 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

🎯 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 • 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

🏖️ Benefits

• 100% Employer Paid Medical Insurance options for the Employee and Family • Paid Maternity and Paternity Leave • Life and AD&D Insurance • Long-Term Disability Insurance • 401K with Company Matching • Equity Participation • 4 Weeks of Vacation • Fully Stocked Kitchens • Company-Sponsored Charitable Day of Giving Events