Developing software solutions in applied R&D utilizing advanced technologies. Involves coding, testing, and prototyping for high-quality product delivery in a hybrid work environment.
Responsibilities
On-time product delivery with world class quality
Design, code, test, automate and debug in JavaScript, core Java and XML using NETCONF/SNMP based frameworks, following DevOps model
Prototype based on cutting edge technologies (OSGi, Microservices, Kubernetes, Elasticsearch, Python, GraalJS, React, SDN/NFV, etc.) to evolve product architecture
Effective review of code and test designs
We are looking for a passionate engineer who can be trusted to deliver high quality products and can challenge the status quo. We expect candidate to have a broad interest in the software engineering field and help us to continuously explore new technologies to enhance the product and processes.
Requirements
Master's or bachelor's degree in computer science, Communication Engineering, Electrical Engineering, or a related technical field
Core Development Expertise: 6 to 10 years of strong, hands-on experience in software development, architecture, and advanced troubleshooting, with a significant focus on the J2EE platform.
Modern Technology Stack Proficiency: Hands-on experience and strong proficiency in several of the following areas: Cloud & Virtualization, Containerization & Orchestration (Docker, Kubernetes), Microservices, Data Processing & Storage (Elasticsearch, Kafka, SQL & relational databases), Middleware & Frameworks (OSGi, Spring Framework), Security (Secure coding practices, authentication/authorization mechanisms), Networking (SDN/NFV, network protocols), Web Technologies (Advanced front-end frameworks like React), RESTful APIs.
Programming & Scripting: Strong proficiency in multiple programming and scripting languages, including Java/J2EE, JavaScript (Node.js, GraalJS), Python, and modern front-end frameworks like React.
DevOps: Deep understanding, practical experience, and a strong advocate for modern software engineering practices, including DevOps principles, CI/CD pipelines, Agile methodologies, and comprehensive test automation strategies.
Data Intelligence & Machine Learning: Experience applying Data Analytics, Artificial Intelligence (AI), and Machine Learning (ML) concepts to solve real-world problems within software solutions.
Development Tooling Expertise: Proficient working knowledge and practical experience with modern Integrated Development Environments (IDEs), comprehensive testing frameworks, defect tracking tools, and modern version control systems (e.g., Git).
Cloud & Network Management Solutions: Prior experience in the design, development, and deployment of cloud-based solutions and/or network management systems.
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