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Senior Mobile Developer (React Native)
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General Details
Location:
Advertised By:Agency
Company Name:Executive Placements
Job Type:Full-Time
Description
Our client is a a leading player in the financial services industry, committed to delivering innovative digital solutions that enhance customer experience and operational efficiency.
Responsibilities:
Requirements:
Apply now!
Responsibilities:
- Develop, test, and deploy mobile applications using React Native and web portals using React.js (TypeScript)
- Integrate mobile apps with API services and build back-end services using .NET Framework
- Enhance and maintain existing systems, ensuring scalability and performance optimization
- Conduct root cause analysis, troubleshoot issues, and implement robust solutions
- Create technical documentation and unit/integration tests to maintain code quality
- Manage app store deployments across iOS, Android, and Huawei platforms
Requirements:
- Minimum 5 years experience in mobile app development within a team environment
- Strong knowledge of React Native, JavaScript, TypeScript, and best practices
- Experience with Microsoft .NET, C#.NET, SQL Server, and relational databases
- Proven track record in publishing apps to major app stores and managing developer accounts
- Familiarity with Azure DevOps, CI/CD pipelines, and source control (Git)
- Understanding of SDLC, Agile methodologies, and object-oriented principles
Apply now!
https://www.executiveplacements.com/Jobs/S/Senior-Mobile-Developer-React-Native-1243514-Job-Search-12-01-2025-00-00-00-AM.asp?sid=gumtree
Id Subtitle 1344921282
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Executive Placements
Selling for 11+ months
Total Ads4.26K
Active Ads4.26K
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What you will be doing:Lead and mentor a cross-functional squad of engineers, developers, analysts, and data scientists.Drive Agile delivery practices to ensure timely, high-quality deployment of AI solutions.Own the technical roadmap for AI production, including MLOps, LLMOps, and scalable cloud infrastructure.Oversee architectural decisions related to model deployment, data pipelines, and cloud-native solutions.Translate AI and data science prototypes into production-ready applications.Implement monitoring, alerting, and incident response processes for AI systems in production.Champion best practices in CI/CD, testing, observability, and operational resilience for ML and LLM solutions.Collaborate with platform and infrastructure teams to ensure seamless system integration and scalability.Influence the velocity, reliability, and quality of AI delivery across the organisation.Represent the AI Enablement capability in strategic forums and contribute to organisation-wide innovation.What we are looking for:Masters degree in computer science, Engineering, or a related field. (*Transcript Required)12+ years experience in software engineering, data engineering, or AI production environments.Minimum 4 years experience in Machine LearningProven delivery of at least 3 large AI projects into productionStrong hands-on AI Operations and MLOps experienceCloud platform experience (GCP preferred, other platforms considered)Strong leadership and stakeholder interfacing capabilityProven experience leading technical teams and delivering complex, enterprise-scale solutions.Advanced proficiency in Python, SQL, and cloud-native development.Hands-on experience with CI/CD pipelines, containerisation (Docker, Kubernetes), and infrastructure-as-code.Strong system design, architectural, and problem-solving skills.Excellent communication skills with the ability to articulate complex technical concepts clearly to diverse stakeholders.Ownership mindset with resilience, adaptability, and a results-driven approach.Advantageous experience:Postgraduate qualification in AI, Data Science, or Systems Engineering.Exposure to platforms and tools such as Vertex AI, BigQuery, Cloud Composer, and Kubeflow. Please note that if you do not hear from us within 3 weeks, consider your application unsuccessful.
https://www.jobplacements.com/Jobs/L/Lead-AI-Enablement-Squad-1247043-Job-Search-12-15-2025-10-15-59-AM.asp?sid=gumtree
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