The developer will support the unified work architecture for post-sales support and operational excellence, including Salesforce Service Cloud and related systems. They will also participate in engineering workstreams such as AI Case Summarization and Salesforce-to-data-platform integrations while managing platform health and incident triage.
Design and implement end-to-end solutions across Salesforce Data Cloud and Marketing Cloud to drive personalized marketing effectiveness. Partner with cross-functional teams to manage data ingestion, audience segmentation, and campaign activation workflows.
Design, implement, and maintain automated test frameworks using TypeScript and Playwright while contributing to backend production code in Java or Kotlin. Collaborate with cross-functional teams to integrate tests into CI/CD pipelines and ensure high-quality software delivery.
You will support the development, enhancement, and integration of Salesforce Service Cloud solutions while collaborating with cross-functional teams. The role involves building scalable applications, maintaining system integrations, and serving as an escalation point for production support.
You will define product requirements and support agile development by collaborating with designers, engineers, and QA teams. Additionally, you will conduct user acceptance testing and communicate with stakeholders to ensure features meet business and customer needs.
You will design, develop, and maintain complex data workflows and pipelines using modern technologies like Apache Airflow and PySpark. The role involves collaborating with cross-functional teams to ensure high-quality data solutions while maintaining strict security and performance standards.
You will build and maintain backend services and automation workflows to support the company's Go-To-Market revenue engine. This involves integrating with Salesforce APIs and collaborating with cross-functional teams to deliver sales automation capabilities.
You will build and maintain data infrastructure and pipelines to support GTM revenue engines, including lead routing and advertiser identity resolution. You will also collaborate with product managers and engineers to model data assets and ensure high data quality across GTM data marts.
You will support platform reliability, monitoring, and modernization initiatives by building and maintaining observability solutions. This involves configuring dashboards and alerts while driving scalability and performance improvements across Kubernetes-based environments.
Design, build, and maintain scalable data pipelines and automation systems to support cloud cost visibility and performance insights. Partner with Engineering and Finance teams to optimize data systems for cost efficiency and ensure data quality across workflows.
You will design, develop, and maintain enterprise Atlassian solutions including Jira and Confluence to streamline business processes. Additionally, you will collaborate with cross-functional teams to implement scalable workflows, integrations, and automation while providing advanced technical support.
Provide hands-on configuration, administration, and production support for Workday Financials modules. Partner with Finance and Procurement stakeholders to translate business requirements into scalable system enhancements and strategic initiatives.
Lead the execution of the information security program across cloud infrastructure, SaaS platforms, and enterprise environments. Manage cybersecurity compliance, monitor security events, and partner with engineering teams to integrate security into the SDLC.
Lead the design, development, and optimization of complex enterprise reporting solutions using Jaspersoft Studio. Collaborate with stakeholders and technical teams to deliver scalable reports and establish reporting best practices.
Design, develop, and maintain scalable backend applications and microservices using Node.js and TypeScript. Collaborate with cross-functional teams to deliver secure, high-performance software while mentoring junior engineers.
Design, build, and optimize scalable ETL/ELT pipelines and data platforms to support analytics and business decision-making. Collaborate with cross-functional teams to ensure data quality, security, and high-performance data infrastructure.
Design and implement scalable, secure, and high-performance cloud solutions aligned with business objectives. Lead cloud transformation, modernization, and migration initiatives while defining governance frameworks and standards.
Lead the planning and execution of major PostgreSQL and AWS RDS database version upgrades to ensure high availability and data integrity. Develop automation scripts and runbooks while collaborating with DevOps teams to optimize database performance.
Lead the planning and execution of major PostgreSQL and AWS RDS database version upgrades to ensure high availability and data integrity. Coordinate with DevOps and infrastructure teams to perform performance tuning and manage maintenance windows.
