Architect

About Sutherland

Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results

Responsibilities

Architecture & Design: Design event-driven, cloud-native microservices using design patterns like Saga, Circuit Breaker, CQRS, and Strangler patterns.; System Boundaries: Define bounded contexts and single-responsibility services aligned with specific business domains.; Inter-Service Communication: Design and enforce API-first contracts using REST, gRPC, or GraphQL.; Data Management: Implement decentralized data management where each service manages its own datastore (NoSQL/RDBMS).; Resilience & Reliability: Design for failure by implementing retries, timeouts, bulkheads, and distributed tracing.; Infrastructure & DevOps: Drive containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines to allow automated deployments.; Observability: Ensure comprehensive logging, monitoring, and tracing are integrated across all services using tools like Prometheus, Grafana, and OpenTelemetry

Requirements

Experience: Typically 8+ years in software engineering with a minimum of 3-5 years focusing purely on distributed systems and microservices.; Programming Languages: Deep expertise in backend ecosystems such as Java/Spring Boot, Go (Golang), Python, or Node.js.; Cloud Platforms: Hands-on experience with AWS, Google Cloud Platform (GCP), or Microsoft Azure.; Message Brokers: Familiarity with event streaming and message queues (Apache Kafka, RabbitMQ, or AWS SQS).; Security & Governance: Knowledge of zero-trust architectures, OAuth 2.0, SAML, and API Gateways.; Soft Skills: Strong technical leadership, excellent documentation abilities, and cross-team communication to evangelize microservices best practices.