Senior Software Engineer Front-End Engineer React
Senior Software Engineer Front-End Engineer React
Posted on :
07-03-2025
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1 Vacancy
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Job Description
- Advanced Development: Design build and maintain complex frontend applications using React and related technologies ensuring robust performance and seamless user experience.
- Technical Ownership: Take responsibility for the development of core UI components and actively participate in architectural discussions to influence the overall frontend strategy.
- Collaboration: Work in tandem with UX/UI designers backend developers and product teams to integrate comprehensive solutions that meet business needs.
- Quality & Optimization: Implement coding best practices optimize applications for speed and scalability and perform thorough testing to maintain high quality standards.
- Mentoring: Provide technical guidance and share expertise with peers and junior developers contributing to a culture of knowledgesharing and continuous improvement.
- Continuous Learning: Keep up with industry trends and emerging technologies to continually evolve the platform s frontend capabilities.
Requirements
- 5 years of handson frontend development experience with a deep proficiency in React JavaScript (ES6 HTML5 and CSS3.
- Strong expertise in building scalable performant user interfaces and a solid understanding of componentbased architecture and state management (e.g. Redux MobX).
- Experience with modern build tools and development workflows (Web pack Babel Git etc. along with a good grasp of responsive design principles.
- Familiarity with RESTful APIs GraphQL and related integration practices.
- Excellent analytical and problemsolving skills with a keen attention to detail.
- Strong communication skills in English both written and verbal with the ability to work effectively in a collaborative team environment.
6+ years of experience in a Senior ML Ops role or a similar position, with a proven track record of success in deploying ML solutions at scale. Advanced expertise in machine learning model deployment, monitoring, and lifecycle management. Proficiency in programming languages such as Python, Java, or Scala, with strong scripting skills. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for managing and deploying ML workflows. Deep understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) and their application in ML Ops. Experience with data engineering and processing tools, including Apache Spark, Hadoop, and Airflow. Strong knowledge of ML Ops frameworks like MLflow, Kubeflow, or TFX, and familiarity with monitoring tools like Prometheus or Grafana. Proven ability to lead and manage teams, with at least 2 years of experience in a leadership role. Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders. Entrepreneurial mindset with the ability to innovate and adapt to evolving business needs. Preferred Skills Knowledge of compliance and regulatory standards related to data privacy and AI ethics.
Employment Type
Full Time
Key Skills
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