Design and implement end‑to‑end generative AI and non‑AI systems as a full‑stack AI Software Architect, ensuring scalability, security, and cloud‑native best practices.
Responsibilities
Define and design AI and non‑AI components of software systems
Architect solutions that integrate AI capabilities into enterprise systems
Ensure adherence to cloud‑native best practices across AWS and multicloud deployments
Evaluate the best fit for purpose technologies
Ensure newly developed AI applications fit within the context of particular RDT and Business functions
Requirements
B.Sc.
B.Eng.
M.Sc.
M.Eng.
Ph.D. in Computer Science, Software Engineering, Artificial Intelligence or related field
Design, develop and deliver next-generation cloud security service technologies within our Next Generation Firewall as a Service team.
Compensation
$156,400.00 - $253,000.00/yr
Responsibilities
Design, develop and implement highly scalable software features on our next-generation security platform as part of NextGen Firewall as a Service.
Ownership of end to end workflow for the expanding service.
Leadership opportunity to drive collaboration with internal/external cross-functional efforts to deliver best in quality software.
Open Engineering environment to suggest and improve the development process for a v1 service.
Proactively spot, articulate, and mitigate risks in ongoing and planned projects to ensure smooth execution and high output – this may include providing ad hoc mentorship, communicating with project stakeholders, or rolling up your sleeves and stepping in to help move things along.
Requirements
M.S./B.S. degree in Computer Science Engineering or equivalent
Lead and develop Toptal’s Cloud Services practice, managing a team of solution architects to design, sell, and deliver hybrid cloud and DevOps solutions.
Lead and develop Toptal’s Cloud Services team of solution architects, setting technical vision, standards, and driving hybrid cloud and DevOps solutions for clients.
Responsibilities
Lead and mentor a team of solution architects
Recruit, onboard, and retain top talent
Define reference architectures and best practices
Partner with Sales to assess client needs and shape proposals
Turn repeatable solutions into scalable offerings
Requirements
Bachelor’s degree in a related field
Nice to have: AWS, Azure, or GCP Architect certification
Lead the design, implementation, and delivery of large‑scale cloud‑based data engineering solutions and manage technical teams and client engagements.
Responsibilities
Lead the design and implementation of scalable cloud‑based data engineering solutions and data lakes.
Drive pre‑sales activities, including client discussions, solution design, technical proposals, and Proof of Concepts (PoCs).
Design secure and scalable data storage architectures using AWS, Azure, or GCP.
Build and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies.
Develop efficient data transformation and processing workflows using serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions.
Requirements
Nice to have: AWS Lake Formation
Nice to have: Azure Purview
Nice to have: Google Data Catalog
Nice to have: cloud certifications (AWS, Azure, or GCP)
Experienced, hands-on Lead Java Full Stack Developer to design, build, and scale enterprise-grade, API-first platforms using modern Java technologies, AWS cloud services, and AI-driven solutions.
Locations (2)
New York, New York, United States
Whippany, New Jersey, United States
Responsibilities
Design, build, and scale enterprise-grade, API-first platforms
Design and develop Microservices and API integrations
Implement event-driven architecture and messaging platforms
Manage AWS cloud-native architecture and development
Entwickelt und betreibt cloud-native Anwendungen für Kunden der öffentlichen Hand mit hohen Anforderungen an Qualität, Stabilität und Nachvollziehbarkeit.
Responsibilities
Entwickelt und betreibt cloud-native Anwendungen für Kunden der öffentlichen Hand
Bringt Erfahrung in Microservices, APIs und Datenverarbeitungsprozessen ein
Nutzt moderne KI-gestützte Entwicklungswerkzeuge
Sorgt für Qualität durch Reviews und Tests
Implementiert automatisierte Tests, statische Analysen und CI/CD-Prozesse
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