Staff Software Engineer - Cloud API & AI Platform

Aravo

Austin (TX)

Hybrid

USD 150,000 - 190,000

Full time

14 days+

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Benefits offered by this job

100% Employer Paid Medical Insurance

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

Charitable Day of Giving Events

Job summary

Aravo Solutions, Inc. is seeking a Staff Software Engineer – Integration & Platform (Java/Spring) to lead backend services, shape cloud-native architectures, and drive AI-enabled workflows across multi-tenant APIs and integrations.

The role emphasizes distributed systems, Kubernetes, and IaC, with leadership across teams and collaboration with Product and Infrastructure. Hybrid work in a fast-paced, collaborative environment is offered.

Qualifications

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 OpenTelemetry (observability).

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.