• Provide technical leadership in the design, integration, implementation, and transition of enterprise **SaaS human services** system • Flexible design architectural approach to deliver configurability along the data creation, integrations, workflows, notifications, and data persistence • Understand and synthesize integration requirements, and develop recommendations based on business objectives, product roadmap, solution architecture and technical considerations • Contribute to the development of our platform functionality using state-of-the-art frameworks and tools Specify and troubleshoot API integrations in an ecosystem of multiple systems • Work closely with client stakeholders, partners, product managers, creative designers, platform architect, and other software engineers • Constantly learn and use leading-edge technologies • Implement a system that will address the needs of vulnerable populations • Contribute to the highest security, extensibility, reusability and testing standards in system architecture and software, interface, components, data structures, and algorithms specifications.

Introduction to Service Deployment 🌐 Learn how modern services are deployed in the cloud In this hands-on remote workshop, you’ll explore how service deployment has evolved - from manual processes to containerized, cloud-native approaches. Learn how Kubernetes enables efficient, scalable deployment and transforms the way modern services are managed globally. This session is ideal for students finishing their degrees who want to gain practical, in-demand DevOps skills. 👉 Apply for the Workshop What You'll Learn During this workshop you will: - Understand the evolution of service deployment - Explore containerization and cloud-native architectures - Learn how Kubernetes manages and scales services efficiently - Gain practical insights into modern DevOps workflows - Understand tools and practices highly demanded in the tech industry Outcome: You’ll leave with a solid understanding of how services are deployed and managed in modern cloud environments, ready to apply these skills in real projects. Who This Workshop Is For This workshop is designed for participants with a technical or engineering background, particularly: - Students finishing their degrees in Computer Science, Engineering, or related fields - Anyone interested in cloud-native architectures and service deployment - Participants who want to learn practical Kubernetes skills Workshop Format - Format: Remote hands-on workshop - Style: Interactive learning with real-world examples - Focus: Service deployment, containerization, and Kubernetes - Group Size: Limited to ensure interactivity Requirements No prior Kubernetes experience is required. Participants should have: - Basic programming or IT knowledge - Curiosity about cloud-native deployment - Minikube installed Optional: familiarity with Docker or container concepts is helpful but not required. Apply for the Workshop Spots are limited to ensure a hands-on, interactive learning experience. If you want to learn how modern services are deployed and managed using Kubernetes and cloud-native practices, apply now. 👉 Submit your application Source text: Introduction to service deployment In this workshop, we’ll explore how service development has evolved, from manual processes to containerized cloud-native approaches. We#ll discuss how Kubernetes enables efficient, scalable deployment, transforming the way modern services are managed and operated globally. This session is particularly useful for students finishing their degrees, as it covers key skills and tools like Kubernetes that are in high demand in today's tech industry.

• responsible for writing and testing scalable code • developing back-end components • integrating user-facing elements in collaboration with front-end developers

• You'll be joining an existing remote engineering team building and maintaining an internal automation platform. • You'll own Python services end-to-end: designing the automation logic, running it in production, handling failures, and verifying real-world outputs. • Build and maintain browser automation workflows using Playwright against real-world web portals • Own Python services from design to production - orchestration, error handling, monitoring • Design and implement retry logic, alerting, and failure recovery for production-grade automations • Work with workflow orchestration tools (Prefect) to schedule and manage data pipelines • Integrate LLMs and OCR into automation pipelines where needed • Write and maintain SQL queries, work directly with PostgreSQL as the primary data store • Deploy and operate services in AWS using Docker and CI/CD pipelines