Sigma Software Group
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The AI Solution Architect designs scalable AI-driven solutions, integrates AI components, participates in pre-sales, and provides technical leadership.
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The role involves developing scalable applications across frontend and backend, focusing on user interfaces, backend services, and mentoring other engineers in a collaborative environment.
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Perform requirements analysis and create test documentation. Execute functional and regression tests (manual and automated), report and verify defects, and provide test status. Participate as an active Scrum team member, collaborate with team and customer PO, and understand domain logic for a telecom microservices web application.
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Perform requirements analysis, create test documentation, execute manual and automated functional and regression tests, report and verify defects, and report test status. Collaborate in Agile/Scrum ceremonies and work closely with the customer PO and development team to ensure high-quality network-configuration software.
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Design and maintain APIs for ad campaign management, architect scalable systems, optimize performance, mentor engineers, and ensure code quality.
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The Big Data Engineer will develop and maintain ETL pipelines, optimize data flows, and collaborate on system architecture and performance, primarily using Python and AWS.
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Design and develop scalable AI-powered backend systems, build ETL pipelines, optimize workflows for metadata extraction, and collaborate on cross-functional projects.
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Design and optimize AI deployment systems, collaborating with customers, managing implementation, and engineering production-grade AI solutions.
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The Senior Data Engineer will design and maintain data pipelines, integrating external systems while ensuring data quality and scalability. Responsibilities include collaborating across teams and optimizing data processes using modern technologies.
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Design, build, test, deploy, and monitor cloud-native features using C#, .NET Core and Angular. Own features from requirements to production, handle incidents, collaborate in Agile teams, and improve systems for scalability, performance, and security in a regulated FinTech environment.
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Design, build, and optimize agentic AI systems, including MCP integrations, multi-agent orchestration, and AI SDLC pipelines. Evaluate models and toolkits, run POCs and benchmarks, and advise product teams and clients on AI adoption and architecture trade-offs.
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Design, develop, and maintain full-stack e-commerce fulfillment features using TypeScript/JavaScript, Node.js/NestJS and React/Next. Implement APIs, role-based access, integrate AI-assisted tools, ensure code quality/security, and participate in SCRUM ceremonies to deliver scalable logistics solutions.
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Work as a junior full-stack developer on an e-commerce fulfillment platform using TypeScript/JavaScript, Node.js/Nest.js and React. Implement features, APIs, and integrations, participate in code reviews, collaborate with stakeholders, use AI-assisted coding tools, and follow Agile/SCRUM practices under senior guidance.
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Design, architect, and oversee AdTech solutions for high-load, low-latency platforms. Lead discovery phases, maintain architectural standards, and mentor engineers while collaborating with teams to ensure quality implementation.
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As a Senior Frontend Engineer, you will develop and maintain scalable frontend applications, collaborate with cross-functional teams, and ensure responsive design and performance optimizations.
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The Principal Software Engineer will architect and implement scalable software solutions using Ruby, lead development projects, mentor junior developers, and ensure high code quality.
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Design, implement, and maintain backend APIs and microservices; resolve escalations; drive end-to-end feature delivery; refactor for scalability and performance; own R&D roadmap initiatives; participate in code reviews and promote engineering best practices.
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The Big Data Architect will design scalable cloud-native data architectures, develop data platforms for analytics and AI, ensure data quality, and collaborate with teams to translate business needs into solutions.
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The Data Engineer will lead a team to modernize a data platform, creating data pipelines, Data Warehouses, and Marts while collaborating with BI engineers.
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The Senior Business Analyst will lead complex business analysis and collaborate with stakeholders to translate goals into structured requirements. Key responsibilities include facilitating workshops, maintaining requisite artifacts, supporting UAT, and providing data-driven insights for decision-making.


