Develop and maintain application features using .NET, SQL, AWS, and Vue.js while collaborating on solution design and API integrations. Participate in technical reviews and communicate with client stakeholders to ensure project success.
You will own end-to-end Salesforce solution delivery, including configuration, requirements gathering, and release management. Additionally, you will serve as a primary point of contact for production troubleshooting and front-line support for the sales organization.
You will own and improve the cloud security posture across GCP and AWS, managing edge security layers and vulnerability management. Additionally, you will support software supply chain security and produce technical evidence for compliance frameworks like SOC 2 and PCI DSS.
The DevOps Deployment Engineer will manage application installations, upgrades, and infrastructure operations within a hosted contact center automation environment. They will collaborate with cross-functional teams to automate deployment pipelines, maintain CI/CD processes, and ensure system reliability through monitoring and logging.
Assist in the design, development, and maintenance of scalable data pipelines while supporting data integration from various sources. Collaborate with data analysts and scientists to ensure data quality and troubleshoot data workflows.
Develop and enhance features for the Financial Management System while automating key financial processes and workflows. Collaborate with cross-functional teams in an Agile environment to maintain backend services and frontend components.
The specialist will prepare structured datasets, conduct exploratory data analysis, and build machine learning models under the guidance of senior engineers. They will also maintain ML pipelines, write automated tests, and support model deployment through REST APIs.
Design, provision, and maintain scalable Azure infrastructure using Terraform while managing CI/CD pipelines for application and data workloads. Implement GitOps workflows, ensure security through DevSecOps practices, and provide operational support for Azure Databricks and AKS clusters.
The Integration Engineer will design, build, and maintain scalable data flows and integration pipelines across enterprise systems including ERP, HRIS, and FinOps platforms. They will also implement automation scripts, manage CI/CD processes, and ensure system reliability through monitoring and observability.
Contribute to the design, implementation, and operation of production systems and data center networks with a focus on automation. Collaborate with developers to resolve operational issues and maintain monitoring and alerting solutions.
Lead and mentor two GenAI teams in developing conversational agents while managing roadmaps and project delivery. Collaborate with cross-functional stakeholders to implement innovative AI-driven solutions and integrate them into the platform.
Develop and modernize high-performance, real-time DSP serving services to process millions of bid requests per second. Focus on splitting a monolith into microservices and transitioning measurement pipelines from batch to real-time streaming using Kafka.
Take full ownership of backend services from design and development through deployment and maintenance. Architect scalable, high-performance distributed systems to support millions of users with low latency.
