Design, build, and maintain scalable data pipelines using Databricks while optimizing ETL/ELT processes for performance and reliability. Collaborate with cross-functional teams to define data requirements and ensure high standards for data quality, governance, and security.
Independently manage software quality responsibilities, including test coverage, risk assessment, and test execution for a development team. Design and implement comprehensive test strategies while integrating automated tests into CI/CD pipelines to ensure reliable software delivery.
Design, build, and deploy scalable backend services and APIs using Python on Google Cloud Platform. Maintain and enhance existing Java services while integrating AI/LLM capabilities into backend workflows.
Design, implement, and maintain scalable AWS cloud infrastructure while managing CI/CD pipelines to automate software deployments. Collaborate with engineering teams to optimize system performance, security, and reliability through infrastructure automation and proactive monitoring.
Design, build, and deploy scalable microservices, data pipelines, and APIs using Java, Python, and GCP. Modernize cloud infrastructure while ensuring high code quality and proactive security vulnerability remediation.
Design, implement, and maintain scalable cloud infrastructure on AWS while automating operational processes. Lead incident response, troubleshooting, and performance optimization to ensure high system availability and reliability.
Design, develop, and deploy scalable integration solutions using MuleSoft’s Anypoint Platform and API-led connectivity principles. Collaborate with cross-functional teams to maintain high code quality, implement security policies, and manage application deployments.
Design, develop, and maintain complex enterprise applications using .NET, C#, Angular, and Azure microservices. Provide technical leadership, mentor developers, and collaborate with cross-functional teams to ensure high-quality software delivery.
Design, develop, and maintain scalable RESTful APIs and backend services using C# and .NET Core. Collaborate with cross-functional teams to translate business requirements into reliable technical solutions while applying software engineering best practices.
Design, develop, and deploy AI/ML models and intelligent automation workflows using LLM-powered features and RAG patterns. Collaborate with cross-functional teams to integrate AI solutions into enterprise platforms while ensuring performance and scalability.
Design, build, and maintain automated infrastructure workflows and AI-driven agents to improve operational efficiency and reliability. Monitor production service health and troubleshoot incidents while collaborating with distributed teams to optimize system performance.
The Cloud Engineer will own the administration, configuration, and optimization of Azure Databricks environments while ensuring platform reliability and security. They will also collaborate with Data Engineering teams to design infrastructure automation and resolve critical platform incidents.
The engineer will translate AI architectures into secure, scalable, and maintainable production systems using LangChain and LangGraph. They will build and deploy LLM-powered applications, agentic workflows, and RAG solutions while ensuring operational readiness and performance.
The Principal Software Engineer will lead the visual modernization of an existing application by migrating legacy jQuery pages to a modern Vue-based architecture. This role involves hands-on coding, performance optimization, and leveraging AI-assisted development tools to maintain high-quality, scalable interfaces.
The Principal Software Engineer will lead the visual modernization of an existing Vue and PHP application to improve user experience and interface quality. This role involves hands-on coding, implementing AI-assisted development workflows, and collaborating with product and UX teams to deliver performant, accessible UI improvements.
You will design and build scalable data engineering solutions while developing a framework that centralizes ETL logic and metric definitions. Additionally, you will collaborate with cross-functional teams to create self-service data tools and support data-driven decision-making.
Translate approved AI architectures into secure, scalable, and production-ready applications using LangChain and LangGraph. Build and deploy LLM-powered assistants, RAG pipelines, and agentic workflows while ensuring operational readiness and performance.
Translate approved AI architectures into secure, scalable, and maintainable production-ready systems using LangChain and LangGraph. Build and deploy LLM-powered applications, agentic workflows, and RAG solutions while ensuring operational readiness and performance.
Design, build, and deploy scalable backend services and data pipelines using Python and Java on Google Cloud Platform. Integrate AI/LLM capabilities into applications while maintaining high security and code quality standards.
Drive new business generation within enterprise-level retail and logistics companies. Build and manage a high-value sales pipeline through strategic prospecting and executive networking to meet senior-level quotas.
