Experience: 8+ years
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 ceremonies and planning processes Requirements
Qualifications: Core Java & Spring Expertise - 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 Cloud Platform & DevOps - 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 Architecture & Distributed Systems - 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) Observability & Reliability - 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 MCP & AI Tooling Exposure - 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 Leadership - 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 Preferred Qualifications/Skills/Soft Skills: - 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 Why Join Us: At Aravo Solutions, Inc., we offer a dynamic and inclusive work environment where employees are encouraged to innovate, grow, and make a meaningful impact.
We provide competitive compensation and benefits packages, opportunities for professional development, and the chance to work alongside industry experts on cutting-edge projects.
Benefits:
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This posting was published by Aravo Solutions, Inc. on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.