Top Tech Jobs & Startup Jobs

Provides front-line technical and functional support for cloud-based applications. Responsibilities include triaging and resolving tickets, investigating application, data, integration, access, and performance issues, managing SLAs and ticket lifecycles, performing root-cause analysis, coordinating fixes with Engineering, DevOps, and vendors, and maintaining support documentation and knowledge-base articles.

Designs, develops, configures, customizes, and integrates complex Salesforce solutions. Assesses systems, recommends enhancements, supports greenfield implementations, and contributes to Salesforce architecture and best practices. Maintains expertise in Salesforce releases, Lightning Web Components, Apex, JavaScript, Python, data migration, and integration tools such as MuleSoft. The role is onsite and requires strong experience delivering end-to-end Salesforce implementations and influencing technical improvements.

Design and develop scalable AWS cloud architecture and backend services for high-throughput telematics data pipelines. Build infrastructure as code, CI/CD pipelines, secure cloud trust architectures, serverless workflows, APIs, microservices, data persistence strategies, and automated tests. Integrate AWS with Salesforce Data Cloud, MuleSoft, Verizon Connect, FMCSA systems, motor vehicle record platforms, and learning management systems. Support event-driven data processing, risk analytics, code reviews, and technical quality improvements.

Develop the AI strategy and architecture for scalable SaaS solutions supporting supply chain risk management. Lead AI/ML model design, optimization, deployment, platform integration, governance, compliance, monitoring, and performance improvement. Evaluate AI technologies, collaborate on data pipelines, and mentor AI engineers and data scientists. The role focuses on enterprise-scale predictive analytics, anomaly detection, NLP, and other AI applications.