Software Architect (Cloud & Platform Engineering)
- Role: Software Architect (Cloud & Platform Engineering)
- Experience: 10+ Years
- Work Location: Phoenix, AZ
- Project Duration: 12+ Month Contract
- Build rapid proof-of-concepts (POCs) to experiment, validate new ideas, and establish reusable patterns for engineering teams.
- Support engineers and project managers in fast-paced development and deployment workflows.
- Collaborate with VPs, architects, and cross-functional leaders to develop and maintain enterprise/platform architectures, data architectures, and API strategies.
- Participate in enterprise-wide architectural and engineering discussions, influencing direction and proposing new paradigms and best practices.
- Lead both high-level architectural design and detailed solution design; conduct reviews to ensure scalability, resiliency, and performance.
- Engage with business leaders to understand goals, principles, and strategic priorities, translating them into architectural direction.
- Communicate strategy changes, design decisions, and architectural guidance to senior leadership.
- Mentor engineers and solution architects to ensure technical clarity, alignment, and high-quality execution.
- 7+ years of hands-on Java development experience in backend or middleware environments.
- Strong background designing and implementing large-scale, cloud-native platforms with high resiliency, availability, and reliability.
- Experience building high-throughput, distributed systems.
- Solid experience with microservices, REST APIs, and (preferred) service mesh technologies.
- Excellent communication, leadership, and collaboration skills; able to influence without formal authority.
- Hands-on experience with several of the following (preferred):
- Languages/Frameworks: Java, Go, Vert.x, React
- Service & Networking: Envoy, gRPC, Protobuf
- Data Technologies: Postgres, CouchBase, Cassandra, Redis
- DevOps/CI/CD: Jenkins, GitHub Actions, Docker, Kubernetes, OpenShift
- Additional Tools: Consul, Drools, Elastic Stack, Kafka, Spark, ML
- Bachelor’s degree in Computer Science or related field required; advanced degree preferred.
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