The role involves processing client requests and alerts within defined SLAs to resolve Genesys Cloud issues. Responsibilities include ticket creation, routing to L2 engineers, and implementing L1/L2 fixes based on pre-defined procedures.
Remote Software Development Jobs (49,381)
Job category = Software Development
Java Software Engineer | Teletrabajo | Inglés B2
knowmad mood
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Full Time
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2 Weeks Ago
knowmad mood
Develop software solutions using Java and Spring Boot within a microservices architecture. Collaborate in an agile environment to provide value and innovation for digital transformation projects.
Design, build, and operate modern cloud-native platforms while managing infrastructure and improving deployment pipelines. Ensure high system reliability and solve complex operational challenges in a collaborative environment.
Java Software Engineer | Teletrabajo | Inglés B2/C1
knowmad mood
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Full Time
·
2 Weeks Ago
knowmad mood
Develop and maintain software solutions using Java and Spring Boot within a microservices architecture. Collaborate in an agile environment to deliver innovative digital transformation projects for clients.
Analista Programador Java, Microservicios | Teletrabajo | Inglés B2/C1
knowmad mood
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Full Time
·
2 Weeks Ago
knowmad mood
Develop and maintain software using Java and microservices architecture within an agile environment. Collaborate with a global team to provide innovative digital transformation solutions for clients.
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Java Software Engineer | Prometheus | Grafana| Teletrabajo | Inglés B2/C1
knowmad mood
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Full Time
·
2 Weeks Ago
knowmad mood
Develop and maintain software using Java and Spring Boot within a microservices architecture. Implement monitoring and observability using Prometheus and Grafana in an agile environment.
Design and implement a global data and systems architecture to enable scaling of mental health programs across multiple countries. Lead the migration of fragmented field data systems into a unified, real-time digital ecosystem and manage global technical governance.
AI Engineer | Python | AI Agents | Chatbots | Machine Learning | Full Stack | Remote
E Edge Technology PVT. LTD.
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Full Time
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2 Weeks Ago
E Edge Technology PVT. LTD.
Develop and deploy machine learning models and build backend systems using Python. Integrate AI solutions with full-stack applications and develop REST APIs.
Develop and maintain ETL processes using DataStage while optimizing loads and performance. Provide support for incident resolution and participate in continuous improvement and evolutionary projects.
Develop the Agent Commerce Kit (ACK) by building APIs, SDKs, and interaction layers for AI agents to conduct secure financial transactions. Design and implement scalable backend services for cryptographic identity management and agent-native financial systems.
Lead technical engagements for net-new enterprise prospects to drive growth through competitive displacement and value-led positioning. Design tailored security architectures and lead Proof of Concept (PoC) evaluations to secure technical wins.
Build and iterate on features to drive user acquisition, activation, retention, and monetization for the n8n self-serve growth engine. This includes owning signup flows, onboarding, and scaling growth systems like billing and in-app messaging.
Design and build production-grade AI employees and agentic workflows using a proprietary platform and external integrations. Act as the technical owner for client delivery, translating requirements into scalable software foundations and conversational systems.
SENIOR SAP ENTERPRISE ARCHITECT (WITH SAP DATA MIGRATION EXPERIENCE)
LITIT
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Full Time
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2 Weeks Ago
LITIT
Lead the design and implementation of SAP S/4HANA solutions for the manufacturing and automotive industries while building the SAP consulting team in Lithuania. Act as a solution architect for greenfield and conversion projects, managing the full project lifecycle and stakeholder communications.
Design, implement, and operate scalable cloud-native data pipelines and ETL/ELT workflows on AWS for an IoT Insurance Data Platform. Collaborate with cross-functional teams to optimize PySpark jobs and manage data schemas using Glue Data Catalog and Lake Formation.
Design, implement, and maintain end-to-end ServiceNow GRC/IRM solutions, including policy, risk, and audit management modules. Collaborate with stakeholders to translate business requirements into technical workflows and integrate ServiceNow with external systems via APIs.
Release Train Engineer / Agile Program Lead with German Release Train Engineer / Agile Program Lead with German
Volkswagen AG
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Full Time
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2 Weeks Ago
Volkswagen AG
Facilitate Agile Release Train (ART) events and optimize the flow of value while removing cross-team impediments. Coach teams in SAFe practices and provide transparency to leadership regarding progress, risks, and trade-offs.
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Operate and maintain a large-scale enterprise web platform powering over 400 Drupal sites. Focus on evolving CI/CD pipelines, managing Pantheon hosting operations, and developing backend Drupal logic.
Data Visualization Manager - AI & Big Data (all genders)
Accenture
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Full Time
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2 Weeks Ago
Accenture
Lead the strategic modernization of BI, reporting, and visualization landscapes for clients to drive data-driven transformation. Act as a trusted advisor to executive management while managing interdisciplinary teams and driving business development through pitches and client relationships.
Desarrollador/a Full Stack
Azertium IT Global Services SL
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Full Time
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2 Weeks Ago
Azertium IT Global Services SL
Develop and maintain full-stack applications using the .NET ecosystem and cloud technologies. Implement Generative AI solutions to enhance project functionality and efficiency.
New AI and ISV Partner Business Development Manager 134 APPLICANTS
Nebius
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Full Time
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2 Weeks Ago
Nebius
Build and scale Nebius' ISV and AI partner ecosystem from the ground up to drive net-new customer acquisition and revenue. Develop repeatable co-sell motions and lead joint go-to-market execution to increase partner-sourced pipeline.
Design and build bespoke integrations between security products and customer-specific security stacks using Python. Own the end-to-end engagement process from technical discovery and scoping to implementation and handover.
Design, implement, and manage Identity and Access Management (IAM) solutions. Collaborate with IT and security teams to integrate app security and provide mentorship to junior engineers.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
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Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
Design, develop, and deploy intelligent chatbots and voice bots using Google Dialogflow CX and LLM-powered Playbooks. Integrate these conversational AI solutions with backend systems, databases, and APIs to ensure scalable and high-performance user experiences.
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