Solution Architect Job

Design and guide enterprise-scale solutions that leverage modern software engineering, artificial intelligence, and cloud technologies. Provide technical leadership across the entire software development lifecycle, ensuring that applications are built with scalability, reliability, and strong adherence to design principles. Collaborate with development teams to design mobile and cloud-based applications, integrate systems through APIs and data services, and establish robust configuration and release management practices. Define and implement CI/CD pipelines to streamline delivery, while also architecting cloud-native solutions that optimize performance, cost efficiency, and security. Design and oversee end-to-end machine learning pipelines, including data collection, preprocessing, annotation, model training, optimization, and deployment across both cloud and edge environments. Stay current with emerging trends in AI, data engineering, and cloud computing, ensuring that solutions remain innovative, maintainable, and aligned with organizational objectives. Serve as a strategic technical leader, partnering with business and engineering stakeholders to deliver solutions that meet immediate needs while supporting long-term growth. Telecommuting permitted.

Minimum Requirements:
Education: Master’s degree or foreign degree equivalent in Data Science, Computer Engineering, Computer Science, or related field.
Experience: Two (2) years of experience in job offered, or Software Developer or in a related occupation.

Annual Salary: $190,819 - $191,000/Yr
How to apply: Submit resume via email to [email protected]. Must reference Ref# SV-SA.

Education or experience in:

Academic training or work experience in the following:
1. Microservices design and container orchestration (Kubernetes)
2. Object-oriented design, distributed systems, and integration patterns (SOLID, Kafka)
3. Cloud-native services and distributed computing environments (AWS Lambda, Google Cloud Functions or Azure App Services)
4. Machine Learning Framework (TensorFlow, PyTorch or MLflow)
5. Mobile and cloud application development with UI/UX (React Native or Flutter)
6. RESTful APIs, GraphQL, or gRPC
7. Data governance, encryption, and compliance (GDPR or HIPAA)