Implement offline-first architecture using SQLite and synchronization services.
Integrate applications with retail hardware devices such as receipt printers, barcode scanners, cash drawers, payment terminals, and customer displays.
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You lead through uncertainty: When the path isn't clear, you facilitate the problem-solving discussions that get the team moving.
You think in systems: You see the structural flaws behind the symptoms. You don't just optimise code; you optimise how the organisation solves problems.
You lead through uncertainty: When the path isn't clear, you facilitate the problem-solving discussions that get the team moving.
You think in systems: You see the structural flaws behind the symptoms. You don't just optimise code; you optimise how the organisation solves problems.
Implement secure API authentication and communication mechanisms including OAuth2, JWT, HMAC, and RSA signature verification.
Develop intelligent routing capabilities for payment and fund movement across multiple channels.
Build routing and orchestration logic based on API health,Latency,Success rate,Cost optimization, Liquidity availability,Operational constraints etc.
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Drive software quality through code reviews, automated testing, and test coverage improvements using tools such as JUnit, Cucumber, Cypress, and similar frameworks.
Develop and maintain CI/CD pipelines and support DevOps practices that enable reliable and efficient software delivery.
Investigate, troubleshoot, and resolve production issues, performing root cause analysis to prevent recurrence.
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This role requires working EMEA hours (3:00 pm – 12:00 am), with a shift allowance provided.
The Database Automation Engineer will be responsible for designing, implementing, and maintaining automated solutions using the standard automation tools (Ansible / Service Broker/terraform /CICD, RHEL-AAP,etc) to deploy database’s IT infrastructure (Oracle / MS-SQL / PosgreSQL) and their needed integration services( backup tools, monitoring agents, Active Directory access,CMDB,etc.).
Collaborate with database operations, database infrastructure engineers to automate the provisioning or removal of Database’s IT infrastructure on Linux or Windows systems using automated processes.
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Implement cutting-edge natural language processing (NLP) algorithms for interactive learning tools, chatbots, and intelligent tutoring systems.
Collaborate closely with cross-functional teams including product, design, and engineering to integrate AI features into the platform effectively.
Analyse and process large, complex datasets to extract meaningful insights and develop predictive models that enhance learner engagement and performance.
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