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Join the G2i talent pool to be matched with real projects at top AI labs and fast-growing companies. Contribute to tasks ranging from model evaluations and RL environments to training data for frontier models.
Remote Software Development Jobs in Congo
Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Join the G2i talent pool to be matched with real projects at top AI labs and fast-growing companies. Contribute to tasks ranging from model evaluations and RL environments to training data for frontier models.
The Cisco ThousandEyes Architect will lead discovery workshops, design network monitoring solutions, and serve as a senior technical escalation point for complex infrastructure issues. They will also drive automation, mentor engineering teams, and partner with sales teams to scope engagements and present technical solutions to clients.
Develop and maintain frontend features, backend services, and APIs while managing data-ingestion workflows. Investigate production issues, document fixes, and coordinate with the technical lead on system reliability and deployments.
Design, build, and operate core components of a transaction platform, ensuring correctness, tenant isolation, auditability, predictable performance, and database health as the system scales. Write and review technical designs and code, use AI coding agents safely, collaborate across product and compliance teams, own production outcomes, and mentor engineers.
Design, develop, test, and deploy Oracle EBS customizations, enhancements, bug fixes, interfaces, conversions, reports, and extensions for Finance and Project Accounting. Collaborate with business and functional teams, and build and manage secure REST and SOAP integrations with external AI platforms using Oracle ISG.
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Own and develop a TypeScript monorepo spanning a Next.js web app and API, an Expo mobile app, and a Cloudflare Worker, along with its shared PostgreSQL and Prisma data model. Maintain background and security-sensitive systems, build AI features using users’ financial data, and carefully review AI-generated code.
Design, develop, and maintain backend services and AI-assisted applications to support threat investigation workflows. Collaborate with investigators to identify operational improvements and ensure system reliability through monitoring and incident response.
Design and develop applications using the ABAP RESTful Application Programming Model (RAP) to support SAP PM maintenance processes. Collaborate with functional consultants and business stakeholders to build and extend CDS views, OData services, and Fiori applications.
The administrator will maintain, optimize, and troubleshoot existing IT systems, software platforms, and web presence to ensure seamless operations. They will also manage technical support for telemedicine tools, handle user workflows, and coordinate digital outreach initiatives.
Lead the engineering, configuration, and commissioning of metering control systems and flow computers for oil and gas projects. Ensure compliance with international custody transfer standards and manage system integration with PLCs, SCADA, and DCS platforms.
The role involves managing and monitoring database platforms, implementing security protocols, and ensuring high availability and performance. Additionally, the DBA will build data extraction pipelines and develop strategies to optimize data quality and statistical efficiency.
Develop and customize Zoho applications and integrations to meet business needs. Automate workflows using Deluge scripting and manage module and dashboard configurations.
The Senior Salesforce Administrator manages, configures, and optimizes the Salesforce platform to support business processes and ensure system efficiency. This role collaborates with stakeholders to enhance CRM capabilities, maintain data integrity, and drive user adoption.
The Data Support Engineer will monitor and maintain data pipelines, ensuring timely resolution of issues within defined SLAs. They will also collaborate with engineering teams and provide status updates while contributing to process improvements.
You will own and maintain the internal container platform, ensuring its reliability, scalability, and observability for multi-tenant services. This includes building automation, managing cluster lifecycles, and participating in an on-call rotation to resolve platform incidents.
You will own the end-to-end cloud platform, including infrastructure, deployments, networking, security, and cost management. This involves managing Kubernetes clusters, blockchain node fleets, and CI/CD pipelines across multiple cloud providers.
Develop and maintain scalable Java-based applications using Spring Boot and RESTful APIs. Collaborate with cross-functional teams to design, test, and deploy high-quality software solutions.
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Develop and maintain responsive, high-performance web applications using React.js while building reusable components. Collaborate with cross-functional teams to integrate APIs, troubleshoot issues, and ensure optimal application performance.
Build and optimize automated sourcing workflows and lead generation systems using AI and data scraping tools. Integrate various platforms via APIs and scripts to improve efficiency across recruiting and sales processes.
You will play a key role in building and developing the Mindly product by collaborating with the product team and CEO. Your work involves deep user understanding, contributing to AI-powered experiences, and driving the entire development cycle from problem identification to production.
Contribute to the design, implementation, testing, and deployment of the trading platform. Write high-performance asynchronous, template, network, and thread-safe code.
You will be responsible for scaling the storage service, optimizing asset delivery, and improving the performance and reliability of the platform. Additionally, you will work across the stack to enhance APIs, client libraries, and CLI tools to provide an exceptional developer experience.
You will work on the PostgREST PostgreSQL driver to improve performance and resolve bottlenecks while developing new features for a multitenant Data API. Additionally, you will collaborate cross-functionally to debug integration issues and resolve escalated support incidents.
Design, develop, and deploy autonomous AI agents and multi-agent systems to drive intelligent decision-making and workflow automation. Collaborate with cross-functional teams to architect scalable agentic platforms and implement robust monitoring and safety guardrails.
Build and maintain end-to-end features across the frontend and backend using React, Node.js, and TypeScript. Manage e-commerce business modules, integrate microservices, and ensure system observability and quality through testing and CI/CD pipelines.
Develop new user-facing features and customize pre-built templates for web applications using PHP, HTML, CSS, and JavaScript. Support customers with inquiries and ensure maximum performance across various devices and browsers.
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The role involves leading the technical delivery of customer identity and modernization projects, including the design and implementation of Azure AD B2C solutions. The engineer will act as a trusted advisor to clients, managing technical execution and aligning project milestones with business outcomes.
Develop and maintain firmware and software for IoT gateways using C++ while ensuring reliable data transmission. Integrate devices with the FIWARE platform and manage device provisioning, monitoring, and connectivity diagnostics.
Develop AI agents and automation workflows using LLMs, LangChain, and LangGraph. Implement RAG pipelines and integrate AI solutions with internal systems, APIs, and databases.
Design and implement scalable data ingestion, transformation, and orchestration pipelines within the Google Cloud environment. Ensure the quality, reliability, and cost-optimization of batch and streaming data flows while collaborating with data scientists and analysts.
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