Own and evolve Quansight's cloud infrastructure across AWS, Azure, and GCP.
Build, deploy, and maintain internal dashboards and reporting for operations and project management.
Lead infrastructure engagements for clients from scoping and architecture through delivery, upskilling client teams.
Quansight is rooted in the Python and PyData ecosystems. They provide services ranging from open-source software development to training and consulting, believing in a culture of do-ers, learners, and collaborators.
Architect and deploy AI-driven systems for automated page generation and design logic.
Partner with technical leads to stress-test backend architecture and ensure scalable GCP/Firebase integration.
Leverage Vertex AI and bespoke frameworks to transform high-level ideas into production-ready tools.
Left Field Labs is a creative technology agency that builds what’s next. They partner with the world’s most ambitious brands to transform breakthrough technology into extraordinary human experiences. Since 2008, they’ve delivered end-to-end digital transformation services.
Design, build, and maintain secure CI/CD pipelines supporting cloud-native applications and services.
Implement Infrastructure as Code using tools such as Terraform to provision and manage cloud resources.
Integrate security controls and best practices into the software development lifecycle (DevSecOps).
540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.
Responsible for overall health, availability, performance, security, cost and day-to-day operations of the GCP platform and toolset.
Build and maintain Azure DevOps pipelines for infrastructure and application deployment.
Design, implement, maintain, operate GCP infrastructure across DEV, QA, STAGE, PROD etc.
Resultant is a consulting firm that helps clients make technology a strategic asset and use data to guide better decisions. They employ over 350 team members who operate remotely and from offices and hubs around the United States.
Design, develop, and maintain core infrastructure supporting large-scale optimization engines and planning workflows to improve scalability and performance.
Analyze and optimize performance bottlenecks in optimization pipelines, focusing on compute, memory usage, and data flow for complex planning problems.
Contribute to evolving platform architecture, designing systems for large datasets and parallel execution while ensuring enterprise-grade reliability and maintainability.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-powered platform for end-to-end supply chain transparency and faster decision-making. The company has over 2000 employees globally, is a multi-time Top Employer award winner, and fosters a culture of innovation with a serious focus on technology, customers, and a collaborative, not-too-serious internal environment.