About SEW Smart Energy Water (SEW) is the leading provider of cloud-based digital platforms that empower global energy, water, and gas providers. Our innovative AI-, ML-, and IoT-powered solutions deliver world-class Customer Experience (CX) and Workforce
Top Skills Details 1.) 5 years of experience with software engineering and in designing and building cloud native integrations. 2.) 4 years of AWS development experience (specifically with serverless and event driven architectures). 75% of the
Senior Software Engineer (Full Stack) Location: Remote Experience: 7+ Years About the Role We are seeking a Senior Software Engineer (Full Stack) to join a high-performing engineering team focused on delivering exceptional customer experiences and building
About the Role Our client helps organizations turn complex data into actionable intelligence. As a Senior Solution Architect , you will play a critical role in designing, implementing, and optimizing enterprise-grade analytics deployments for customers with
Digital Analytics Implementation Specialist Location: Brazil (Remote) Duration; Long Term Type: PJ Key Responsibilities Translate business requirements into detailed analytics and tracking specifications. Design, implement, and validate tracking across web, mobile applications, Smart TVs, OTT platforms, and
Were looking for an experienced Staff Software Engineer to join a fast-growing, AI-native engineering team building large-scale backend systems and modern web and mobile applications. This is an opportunity for engineers who thrive in highly autonomous environments,
About the Company Sisense is a leading AI-powered Analytics Platform as a Service (AnPaaS) that empowers product teams and developers to embed conversational, predictive, and agentic intelligence directly into applications and workflows. Our API-first, developer-first platform turns complex data
About the Role Our client helps organizations turn complex data into actionable intelligence. As a Senior Solution Architect, you will play a critical role in designing, implementing, and optimizing enterprise-grade analytics deployments for customers with complex