India (Hybrid) We are seeking an innovative and experienced Go/Java R&D Architect to join our team. You will be involved in designing and developing enterprise-level software products using Go/Java with a focus on creating cutting-edge solutions for network infrastructure, cloud technologies, and complex systems. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Responsible for creating and defining the architecture of complex Go Lang/Java-based systems, ensuring that the system meets both technical and business requirements. Often involved in designing and implementing microservices or service-oriented architectures for distributed systems. Ensure that design patterns, best practices, and industry standards are applied across the project to ensure consistency and scalability. Choose appropriate Go Lang/Java technologies, frameworks, and tools (e.g., Spring, Hibernate, JPA, JMS, JMX, etc.) based on project needs. KEY SKILLS AND EXPERIENCE You have: 8-12 years of Go Lang/Java-based design and development experience with a graduate/postgraduate equivalent degree. Coordinates design of subsystems and integration of the overall system. Experience with Golang, Talos, and Kubernetes (CRD), APIs, data processing, and vector databases. Experience with Linux networking (CNI, XDP). Experience with LLMs and AI including fine-tuning. Experience with infrastructure such as code, Gitlab, and JIRA workflows. It would be nice if you also had: Solves complex problems using advanced analytical thinking and sound judgment.

Systems Integration (SIN) contains the integration and customization of Nokia solutions and 3rd party platforms to meet customer requirements. Contains processing of use case and feature requirements into conceptual models, operational scenarios, technical requirements, and functional description. Covers customer specific solution and software design, development, implementation, unit testing and verification of hardware, platform, software, and systems including maintenance support. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Engage with Sales Engineers, Business Development, regional account teams and Project Managers to understand the overall project intent, goals and scope. Conduct needs analysis workshops with customers to gain in-depth details of business needs, specific use cases and expected project outcomes. Document established understanding of the project goals and requirements[S(1] ; and share the understanding between customer and project teams. Be a hands-on professional validating the requirements in labs, or researching network equipment to understand their features, functions and capabilities. Be prepared to roll up your sleeves[R(2] to setup a lab necessary for your work. Analyze business, technical requirements to design and automation solution based on NSP Automation framework documenting[R(3] [R(4] the results either in a solution proposal or high-level design documents. Validate the solution with the design and testing teams. [S(5] Maintain ongoing communication with Product and Services Unit Managers to stay aligned with the product and service roadmap, ensuring a clear understanding of strategic directions. Keep updated on the latest features, enhancements, and service offerings to effectively integrate them into architectural solutions. Keep regular contact with product teams and suggest strategies, initiatives, and remedies for existing use cases, new products or product features[R(6] . Work with technical and commercial teams to outline project solution (solution architecture), suggest product components and service offerings to deliver on the project strive to propose and design a viable solution that will yield a return on investment for the business unit. Assist sales, accounts, and commercial teams in drafting the statement of work or solution proposals for a commercial offer of the proposed solution. Provide direction, assistance and answer questions to customers and Nokia project delivery teams; ensure project scope is maintained, and solution implemented. Serve as a liaison for cross-business unit customer projects. KEY SKILLS AND EXPERIENCE Typically requires 15 years extensive relevant experience and Bachelor engineering Degree Telecom/IT/Electronics Experience conducting customer needs and requirements gathering workshops and interviews. Knowledge of the customer needs analysis frameworks like Jobs-To-Be-Done and/or Business Communications and Influence is an asset Proven ability to transform customer needs and requirements into successful solution offerings and software specifications Comprehensive understanding and experience with IP/Optical networking, OSS, and SDN technologies and business, to be able to lead technical and business discussions with internal and customers experts. Nokia Service Router Certification Level II+ or Cisco CCNP/JNCIP[S(7] is an asset Knowledge of the telecommunications market, and network operations for the purpose of ideating automation solutions with Nokia customers Excellent verbal and written communication skills and the ability to work with development teams, sales, account teams and program owners Expertise in Kubernetes and cloud ecosystems is highly valuable for evaluating solutions and gaining a comprehensive understanding of the entire NSP ecosystem. This knowledge ensures effective assessment of integration points and alignment with modern cloud-native architectures. KCNA is an asset. Software development experience in an agile environment[R(8]

Systems Integration (SIN) contains the integration and customization of Nokia solutions and 3rd party platforms to meet customer requirements. Contains processing of use case and feature requirements into conceptual models, operational scenarios, technical requirements, and functional description. Covers customer specific solution and software design, development, implementation, unit testing and verification of hardware, platform, software, and systems including maintenance support. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Works typically in several technology areas with intermediate to advanced skill level or with one technology area at an advanced skill level. Creates implementation plan and technical infrastructure documents. Knows and works according to the Systems Integration (SI) delivery process. Creates test strategy and test cases. Contributes to gathering customer requirements, analysis, feature specification and requirement feasibility study. Contributes to migration procedures. Contributes to knowledge documentation in various tools like Sharepoint, ShareInside, Yammer, ShareNet, discussion forums. Works autonomously and effectively in a mixed environment and uses best practices and knowledge of internal or external business issues to improve products or services. Has in-depth business knowledge and uses understanding of how relevant areas integrate to achieve objectives. Uses advanced analytical skills to solve complex problems or problems that do not have routine solutions and takes a new perspective. Shares initial ideas for professional direction of own organisational unit. Acts as a professional advisor and mentor for staff / workteam / taskforces. May lead projects with manageable risks and resource requirements or small teams, handles day-to-day staff management issues, including resource management and allocation of work. KEY SKILLS AND EXPERIENCE Academic background in Telecommunication 8 15 years of relevant industry experience. Experience of working in a virtual team environment Programming languages: Python, JavaScript, JAVA, FTL Very good Linux environment knowledge Methodologies: CI/CD, Agile, SCRUM Next generation technologies (Netconf / Yang) Database management skills GPON Domain Knowledge Knowledge of NOKIA FN products such as SDAN, Home wifi is an added advantage. Hands on expertise on Cloud Technologies (AWS, GKE, RedHat, Azure, Rancher) Good In-depth knowledge on Kubernetes and Docker / containerd Architecture level understanding Understanding on different infra level microservices. Good Exposure on open-source components like Key cloak, Index search, RabbitMQ, Kafka MQTT/ USP exposure. Good trouble shooting skills Problem solving and analytical skills Good MS Office knowledge Team-player attitude Good spoken and written English Work on global customer time zones as per need of projects

The role involves developing scalable microservices with Spring Boot and Java 8, integrating NoSQL databases, and implementing messaging systems like RabbitMQ or Kafka. You'll enhance observability with Grafana and Prometheus, optimize performance using Hazelcast and Eureka, and utilize Docker and Kubernetes for deployment. Additionally, you'll focus on distributed systems best practices and fault tolerance. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Develop robust and scalable microservices using Spring Boot and Java 8 advanced features. Integrate and maintain MongoDB or other NoSQL databases for efficient data management. Implement messaging systems (RabbitMQ, Kafka, VerneMQ) to enable seamless communication between services. Contribute to improving system observability by configuring Grafana and Prometheus for real-time monitoring. Enhance application performance and fault tolerance by utilizing Hazelcast and Eureka. Troubleshoot JVM performance issues and optimize resource utilization. Leverage Docker and Kubernetes for containerization, deployment, and orchestration of applications. Learn best practices for distributed systems, fault tolerance, and resilience at scale. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 3+ years of relevant experience in Java 8. Expertise in building enterprise-grade applications using Spring Boot and applying advanced Java 8 features like streams, lambdas, and the Java time API. Experience with MongoDB or similar NoSQL databases for handling large-scale, unstructured data. Practical experience in integrating and working with messaging systems to enable asynchronous communication and scalability. It would be nice if you also had: Knowledge in setting up and configuring monitoring tools. Troubleshooting and optimization of JVM performance, including garbage collection tuning and memory management. Knowledge in Docker for containerization and Kubernetes for orchestration, ensuring efficient deployment and scaling.

As a Technical Specialist you will be defining and implementing effective test strategies, develop comprehensive test plans, and automate test cases to ensure high-quality software delivery. you will be working on various testing methodologies, frameworks, and scripting languages to enhance test coverage and efficiency. You will be performing automation testing on complex network systems, handling troubleshooting and debugging issues, collaborating with cross-functional teams, and contribute to continuous improvements in testing processes and product reliability. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Define test strategies, write comprehensive test plans, and automate test cases. Gain expertise in RHEL or Unix-based operating systems and scripting. Work with containerization technologies like Docker and Kubernetes and understand cloud-native architecture and cloud security. Develop domain knowledge in OTN, DWDM, SDH/SONET, Ethernet, and GMPLS transport protocols. Work with database systems like Oracle or equivalent. Gain experience in Hadoop File System (HDFS), Spark, and Hive QL. Enhance analytical and debugging skills to troubleshoot complex systems. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree in electrical engineering or computer science with relevant experience. Minimum 5+ years of testing experience in EMS/NMS or OSS. Previous experience in telecommunications network and system verification. Programming skills (Python, Java, SQL). Exposure to technologies like DWDM, CWDM, SONET, OTN, Ethernet, IP, GMPLS. It would be nice if you also had: Experience with Jenkins, Ansible, etc. Ability to work independently and also work effectively within a team. Experience in testing web-based applications, client-server applications, and using Jira or equivalent tools.

As a Fault Management Engineer, you will be responsible for deploying, optimizing, and maintaining Voice over LTE (VoLTE) networks. A deep understanding of VoLTE architecture, IMS (IP Multimedia Subsystem), SIP signaling, and network performance optimization is essential. You will also be responsible for adhering to agreed service level agreements (SLAs). HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN You will manage faults, ensuring error-free operation of IMS and Cloud networks, specifically within the VoLTE, Cloud, and UDM domains. You will possess comprehensive troubleshooting skills, analyzing and resolving complex issues related to SIP signaling, call flows, and IMS/UDM components (Ausf, ZTS, EIR). You will be prioritizing performance optimization, working on fault tickets and implementing corrective actions within agreed SLAs to maintain optimal network performance. Adapt at incident management, diagnosing and resolving VoLTE-related network issues, collaborating effectively with market and operations teams to minimize service disruptions. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree with 6+ Years in the Telecommunications. Expertise with SBC (Session Border Controller), TAS (Telephony Application Server), CFX (Call Flow eXchange), and OpenShift Cloud. Experience in VoLTE Call Flow Analysis and Troubleshooting. Demonstrated Proficiency with SDM Nodes (NT-HLR, One-NDS, HSS, MNP, PGW, EIR, UDM-AUSF, 5G EIR, vHLR). It would be nice if you also had: Possessing a good understanding of VoLTE architecture, including IMS, SIP, RTP, and Diameter protocols, with knowledge in OpenShift Cloud and UDM nodes like Ausf/ZTS/EIR.

As a Software Architect, you will define the product architecture, technical vision, and roadmap for the business unit. You will collaborate with PLM and customers to understand their needs, analyze requirements, and deliver innovative embedded systems and network solutions. You will also lead the design, mentor other architects, and drive agile, high-quality development. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Collaborate with PLM and customers to understand technical needs, refining solution designs based on customer requirements. Lead the design and analysis of technical solutions, estimating efforts and resource requirements for successful implementation. Technically lead and introduce emerging technologies, particularly in embedded systems, network chipsets, and AI/ML, enhancing technical expertise. Mentor and guide other architects, ensuring consistent, high-quality solutions across teams. Engage directly with customers, presenting innovative solutions that align with their business goals and needs. Collaborate with customer teams to define and refine architecture solutions, ensuring alignment on vision and execution. Promote agile development practices, ensuring fast and high-quality solution delivery in an iterative manner. Maintain high standards throughout the design, testing, and delivery processes, focusing on consistent quality in every phase. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 15 years of extensive experience in embedded systems with expertise in Linux kernel, OpenWRT, and device drivers. At least 3-4 years of experience in system architecture and design patterns. Proficiency in networking protocols (TCP/IP, DHCP, DNS) and experience with forwarding layers and network chipset programming. Expertise in requirement analysis, solution definition, and ensuring alignment with customer needs. Leadership experience in providing mentorship to other architects and ensuring technical consistency across teams. It would be nice if you also had: Deep understanding of agile methodologies and the ability to drive them across development and testing teams. Exposure to AI/ML technologies, enhancing the ability to deliver cutting-edge, innovative networking solutions. Customer engagement and collaboration skills, with the ability to present technical solutions clearly and persuasively.

The role involves developing scalable microservices with Spring Boot and Java 8, integrating NoSQL databases, and implementing messaging systems like RabbitMQ or Kafka. You'll enhance observability with Grafana and Prometheus, optimize performance using Hazelcast and Eureka, and utilize Docker and Kubernetes for deployment. Additionally, you'll focus on distributed systems best practices and fault tolerance. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Develop robust and scalable microservices using Spring Boot and Java 8 advanced features. Integrate and maintain MongoDB or other NoSQL databases for efficient data management. Implement messaging systems (RabbitMQ, Kafka, VerneMQ) to enable seamless communication between services. Contribute to improving system observability by configuring Grafana and Prometheus for real-time monitoring. Enhance application performance and fault tolerance by utilizing Hazelcast and Eureka. Troubleshoot JVM performance issues and optimize resource utilization. Leverage Docker and Kubernetes for containerization, deployment, and orchestration of applications. Learn best practices for distributed systems, fault tolerance, and resilience at scale. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 3+ years of relevant experience in Java 8. Expertise in building enterprise-grade applications using Spring Boot and applying advanced Java 8 features like streams, lambdas, and the Java time API. Experience with MongoDB or similar NoSQL databases for handling large-scale, unstructured data. Practical experience in integrating and working with messaging systems to enable asynchronous communication and scalability. It would be nice if you also had: Knowledge in setting up and configuring monitoring tools. Troubleshooting and optimization of JVM performance, including garbage collection tuning and memory management. Knowledge in Docker for containerization and Kubernetes for orchestration, ensuring efficient deployment and scaling.

The role involves developing scalable microservices with Spring Boot and Java 8, integrating NoSQL databases, and implementing messaging systems like RabbitMQ or Kafka. You'll enhance observability with Grafana and Prometheus, optimize performance using Hazelcast and Eureka, and utilize Docker and Kubernetes for deployment. Additionally, you'll focus on distributed systems best practices and fault tolerance. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Develop robust and scalable microservices using Spring Boot and Java 8 advanced features. Integrate and maintain MongoDB or other NoSQL databases for efficient data management. Implement messaging systems (RabbitMQ, Kafka, VerneMQ) to enable seamless communication between services. Contribute to improving system observability by configuring Grafana and Prometheus for real-time monitoring. Enhance application performance and fault tolerance by utilizing Hazelcast and Eureka. Troubleshoot JVM performance issues and optimize resource utilization. Leverage Docker and Kubernetes for containerization, deployment, and orchestration of applications. Learn best practices for distributed systems, fault tolerance, and resilience at scale. KEY SKILLS AND EXPERIENCE You have : Graduate or Postgraduate in Engineering stream with 3+ years of relevant experience in Java 8. Expertise in building enterprise-grade applications using Spring Boot and applying advanced Java 8 features like streams, lambdas, and the Java time API. Experience with MongoDB or similar NoSQL databases for handling large-scale, unstructured data. Practical experience in integrating and working with messaging systems to enable asynchronous communication and scalability. It would be nice if you also had: Knowledge in setting up and configuring monitoring tools. Troubleshooting and optimization of JVM performance, including garbage collection tuning and memory management. Knowledge in Docker for containerization and Kubernetes for orchestration, ensuring efficient deployment and scaling.

As a Principal Technical Specialist, you will design, develop, implement software solutions, working with technologies such as Spring Boot, MongoDB, RabbitMQ, and Kafka. You will troubleshoot and debug existing applications, optimize performance, and collaborate with cross-functional teams to deliver high-quality solutions in IoT, Telecom, or WiFi domains. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Design and implement software solutions, enhancing knowledge of Spring Boot, Java 8 features, and NoSQL databases like MongoDB. Improve expertise in messaging queues and distributed systems, including RabbitMQ, Kafka, and VerneMQ. Optimize application performance and scalability through troubleshooting and performance modeling. Learn advanced troubleshooting techniques for JVM, Docker, Kubernetes, and cloud environments such as RHEL/OpenShift. Work with a variety of tools, such as Hazelcast, Eureka, Grafana, and Prometheus, gaining insights into monitoring and cloud infrastructure. Collaborate with developers, product owners, and QA teams to improve communication and teamwork skills. Enhance the ability to solve complex problems by applying analytical thinking and judgment in a production environment. Stay up-to-date with emerging software trends and technologies to continuously innovate and improve solutions. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 12+ years of experience in high-end Java-based applications in a cloud environment. Expertise in coding with Java 8, Spring Boot, and its advanced features. Hands-on experience with MongoDB or NoSQL databases. Proficiency with Docker, Kubernetes, and cloud environments such as RHEL and OpenShift. Expertise in troubleshooting JVM issues and optimizing performance at the application level. Experience with tools like Hazelcast, Eureka, Grafana, Prometheus, and Minio for scalability and monitoring. Experience in designing and modeling application performance and scalability, particularly in distributed systems. Familiarity with emergency case handling and swift problem restoration within the SW Care process. It would be nice if you also had: Understanding of cloud-native application design principles, microservices, and service orchestration. Knowledge of Agile practices to foster collaboration and continuous integration.

As a Principal Technical Specialist, you will design, develop, implement software solutions, working with technologies such as Spring Boot, MongoDB, RabbitMQ, and Kafka. You will troubleshoot and debug existing applications, optimize performance, and collaborate with cross-functional teams to deliver high-quality solutions in IoT, Telecom, or WiFi domains. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Design and implement software solutions, enhancing knowledge of Spring Boot, Java 8 features, and NoSQL databases like MongoDB. Improve expertise in messaging queues and distributed systems, including RabbitMQ, Kafka, and VerneMQ. Optimize application performance and scalability through troubleshooting and performance modeling. Learn advanced troubleshooting techniques for JVM, Docker, Kubernetes, and cloud environments such as RHEL/OpenShift. Work with a variety of tools, such as Hazelcast, Eureka, Grafana, and Prometheus, gaining insights into monitoring and cloud infrastructure. Collaborate with developers, product owners, and QA teams to improve communication and teamwork skills. Enhance the ability to solve complex problems by applying analytical thinking and judgment in a production environment. Stay up-to-date with emerging software trends and technologies to continuously innovate and improve solutions. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 12+ years of experience in high-end Java-based applications in a cloud environment. Expertise in coding with Java 8, Spring Boot, and its advanced features. Hands-on experience with MongoDB or NoSQL databases. Proficiency with Docker, Kubernetes, and cloud environments such as RHEL and OpenShift. Expertise in troubleshooting JVM issues and optimizing performance at the application level. Experience with tools like Hazelcast, Eureka, Grafana, Prometheus, and Minio for scalability and monitoring. Experience in designing and modeling application performance and scalability, particularly in distributed systems. Familiarity with emergency case handling and swift problem restoration within the SW Care process. It would be nice if you also had: Understanding of cloud-native application design principles, microservices, and service orchestration. Knowledge of Agile practices to foster collaboration and continuous integration.

As a Technical Specialist, the incumbent will focus on IP-based fixed access networks and work with Layer 1, Layer 2, and Layer 3 protocols. The incumbent will develop manual and automated tests, verify feature functionality, maintain features deployed in customer networks, and ensure high-quality solutions through collaboration with R&D and Product Management teams. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN You will gain in-depth proficiency in IP-based fixed access networks and Layer 1, 2 and 3 protocols. You will develop manual and automated tests to validate feature functionality and customer deployments. Collaborate with R&D and Product Management teams to enhance products and ensure high-quality solutions. Learn to integrate real-world customer feedback into the product development process for continuous improvement. Deepen your understanding of DSL and MoCA technologies and apply that knowledge to real-world scenarios. Strengthen problem-solving and analytical skills in troubleshooting customer network issues. Enhance skills in DevOps principles, tools, and techniques for more efficient product delivery and automation. Expand your knowledge in traffic testing tools (e.g., Spirent, Ixia) and protocols like DHCP, PPP, and QoS to improve test case design. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering stream with 5+ years of experience. Conceptual knowledge of networks, particularly IP-based fixed access networks and Layer 1, 2, and 3 protocols, such as DHCP, PPP, IGMP, LACP, 802.1x, and QoS, with the ability to set up test topologies for protocol verification. Hands-on experience with traffic testing tools such as Spirent, Ixia, or Router Tester for end-to-end testing. Experience with GPON, DSL, and MoCA technologies and an understanding of their testing requirements. Programming experience in automation scripting languages like Python, Tcl, or Perl. It would be nice if you also had: Understanding of SDLC/PDLC, bug lifecycle, and software testing practices. Knowledge of Layer 2 switching architecture and protocols like Ethernet, STP, RSTP, VLAN, and ARP. Knowledge of DevOps principles, tools, and techniques, with hands-on experience with automation and CI/CD. Familiarity with cloud technologies like Kubernetes, and working knowledge of Elasticsearch and Kibana.

India (Hybrid) You as a DevOps engineer share your expertise in implementing, maintaining automated build, deployment pipelines, optimizing build times and resource usage. You will contribute to CI/CD methodologies and Git branching strategies. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN You will leverage experience in Yocto, Jenkins, Gerrit, and other build tools to streamline and optimize the build process. You will proactively monitor build pipelines, investigate failures, and implement solutions to improve reliability and efficiency. You will utilize AI/ML algorithms to automate and optimize data-driven pipelines, improving data processing and analysis. You will work closely with the team to understand their needs and contribute to a collaborative and efficient work environment. Actively participate in knowledge sharing sessions and contribute to the team's overall understanding of best practices and innovative solutions. You will learn a culture of continuous improvement, constantly seeking ways to optimize processes and enhance the overall effectiveness of the team. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering with 4+ years of experience in DevOps and CICD pipelines. Experience in Docker, Kubernetes (EKS), OpenShift. Software development experience using Python / Groovy / Shell. Experience in designing and implementing CI/CD pipelines. Experience working with Git technology and understanding of Git branching strategies. It would be nice if you also have: Knowledge to AI/ML algorithms. Knowledge in Yocto, Jenkins, Gerrit, distCC and ZUUL.

You as a DevOps engineer share your expertise in implementing, maintaining automated build, deployment pipelines, optimizing build times and resource usage. You will contribute in CI/CD methodologies and Git branching strategies. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN You will leverage experience in Yocto, Jenkins, Gerrit, and other build tools to streamline and optimize the build process. You will proactively monitor build pipelines, investigate failures, and implement solutions to improve reliability and efficiency. You will utilize AI/ML algorithms to automate and optimize data-driven pipelines, improving data processing and analysis. You will work closely with the team to understand their needs and contribute to a collaborative and efficient work environment. Actively participate in knowledge sharing sessions and contribute to the team's overall understanding of best practices and innovative solutions. You will learn a culture of continuous improvement, constantly seeking ways to optimize processes and enhance the overall effectiveness of the team. KEY SKILLS AND EXPERIENCE You have: Graduate or Postgraduate in Engineering with 4+ years of experience in DevOps and CICD pipelines. Experience in Docker, Kubernetes (EKS), OpenShift. Software development experience using Python / Groovy / Shell. Experience in designing and implementing CI/CD pipelines. Experience working with Git technology and understanding of Git branching strategies. It would be nice if you also have: Knowledge to AI/ML algorithms. Knowledge in Yocto, Jenkins, Gerrit, distCC and ZUUL.

As a Senior R&D Engineer, you will design, develop, and maintain high-quality software solutions, leveraging your expertise in Java and Spring Boot. Your experience with UML modeling, JSON schema, and NoSQL databases will be essential in building innovative solutions. You will work with cloud-native development and microservices architecture, while also applying your skills in scripting and Helm charts to enhance system performance and scalability. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Design and develop high-quality applications using Java and Spring Boot, implementing and maintaining RESTful APIs and microservices. Create and maintain UML diagrams for software architecture, define and manage JSON schemas, and optimize NoSQL databases like Neo4j, MongoDB, and Cassandra for efficient data handling. Develop and deploy cloud-native applications using AWS, Azure, or OCP, ensuring scalability and resilience in microservices environments. Manage Kubernetes deployments with Helm charts, collaborate with DevOps teams to integrate CI/CD pipelines, and automate tasks using Python and Bash scripting. Ensure efficient data storage and retrieval, optimize system performance, and support automated deployment strategies. Collaborate with cross-functional teams to gather requirements, design solutions, and ensure seamless software integration. Maintain comprehensive documentation for software designs, APIs, and deployment processes, ensuring clarity and accessibility. Continuously enhance development workflows through automation, best practices, and performance optimizations. KEY SKILLS AND EXPERIENCE You have: Bachelor's or master's degree in computer science, Engineering, or a related field. 5+ years of experience in software development with a focus on Java and Spring Boot. Relevant certifications (e.g., AWS Certified Developer, Oracle Certified Professional Java SE) are a plus. It would be nice if you also have: Familiarity with CI/CD tools (Jenkins, GitLab CI) and Agile development methodologies. Understanding of RESTful API design and implementation. Knowledge of container orchestration and management.

As a Cyber Security Architect, you will contribute to telecom network security. You will be responsible for providing expert security guidance, designing secure network solutions, and implementing best practices for our complex and dynamic telecom network infrastructure. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN You will be in part of developing and implementing secure network architectures, including firewall configurations, intrusion detection systems, VPNs, and network segmentation, tailored to the specific needs of telecom clients. You need to identify vulnerabilities and security weaknesses in existing telecom networks and recommend remediation strategies. You need to advise clients on best practices for securing their telecom networks, including threat modeling, vulnerability analysis, and risk mitigation strategies. You need to work with clients to establish comprehensive security policies and procedures that align with industry best practices and regulatory requirements. You will focus on threats and vulnerabilities specific to the telecom industry and recommend appropriate countermeasures for the network. You need to provide technical expertise and guidance related to security incidents affecting the telecom network. You will be designing training programs for the specific needs of personnel involved in managing and operating the telecom network. You will be focusing on the security strategy for the telecom network and its integration with the broader organizational security strategy. KEY SKILLS AND EXPERIENCE You Have: Bachelor's degree in Computer Science, Information Security, or Electrical Engineering, with a minimum of 10-15 years of experience in security risk assessment, vulnerability management, or a related field within the telecom industry. Experience in security principles, methodologies, and best practices specifically relevant to telecom networks. Experience with security frameworks such as ISO 27001, NIST Cybersecurity Framework, or similar, with a focus on their application to telecom networks. Experience on conducting threat modeling, vulnerability analysis, and impact assessments for telecom network infrastructure. Experience with network security technologies such as firewalls, intrusion detection systems, VPNs, and network segmentation. Familiarity with telecom protocols and standards (e.g., SS7, Diameter, SIP) and their security implications. It would be nice if you also had: Certifications - ISO 270001 LA/LI, CISA , ITIL V3/4. Exposure to complex problem-solving and managing multiple projects simultaneously.

As a Senior Technical Specialist, you will design and develop UIs for Network Management applications in Optical Transport, WDM, and SDH/SONET networks. With 8-12 years of experience, you'll use ReactJS, JavaScript, HTML, CSS, and Angular to build high-performing UIs. Experience with Core Java, Spring, Kafka, Python, and databases is a plus. You will work in an agile, distributed environment, enhancing functionality, user experience, and customer satisfaction. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Develop software for Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Provide users with control over network configuration through Optics Network Management applications. Interface Optics Network Management applications with various Network Elements. Deploy Optics Network Management applications globally for installations. Contribute to new developments and maintain applications as part of the development team. Enhance functionality and customer satisfaction through ongoing application improvements. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree or equivalent with 8 to 12 years of experience in user interface design and development. Expertise in UI development technologies such as ReactJS, JavaScript, HTML, CSS, Angular, and JQuery. Working experience with CORE JAVA, Spring, Kafka, Zookeeper, Hibernate, and Python is desirable. Good understanding of continuous integration and agile practices. It would be nice if you also had: Working knowledge of RDBMS, PL-SQL, Linux, Docker, and database concepts. Domain knowledge in OTN, Photonic network management. Hands-on experience in development activities like requirement analysis, design, coding, and unit testing. Solid and well-balanced individual, able to manage high-paced development activities with self-organizing capabilities.

As a Senior Technical Specialist, you will use data science, machine learning, and generative AI to develop solutions, build models with Python, Java, TensorFlow, Keras, and PyTorch, and analyze data for insights. Collaborating with data scientists, you will perform statistical analysis, create reports, and optimize data-driven solutions while staying ahead of AI trends to drive innovation. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis. Should be able to analyse various forms of data. Textual, image, video, audio, numerical data. Collaborate with senior data scientists to develop and implement machine learning models and algorithms. Perform statistical analysis and hypothesis to derive actionable insights from data. Creation and visualizations of reports and derive insights from various data. Develop features from raw data for training ML models. Stay updated with industry trends and emerging technologies in data science and AI. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree or equivalent with 5 years of experience in data science or AI roles, focusing on machine learning and generative AI. Proficiency in programming languages such as Python, Java. Familiarity with machine learning frameworks like TensorFlow, Keras, and PyTorch. Basic understanding of SQL for database management. Experience with data visualization and analytical tools for analyzing data for forecasting, prediction, anomaly detection, and pattern recognition. It would be nice if you also had: Aptitude for identifying problems and developing effective solutions using data-driven approaches. Ability to work collaboratively within cross-functional teams, including data engineers and domain owners. Willingness to learn new technologies and methodologies as the field of AI evolves. High level of accuracy in data handling and model development.

As a Senior Technical Specialist, you will design and develop software for Optical Network Management, working with Core Java, Spring, Kafka, Python, and RDBMS. You will contribute to new developments and maintenance, collaborate with cross-functional teams, and ensure high-quality solutions. Your role includes requirement analysis, coding, testing, and integration, with exposure to UI technologies like React a plus. Passionate about innovation, you will drive agile development for global deployments. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Develop software for Network Management of Optics Division products, including Photonic/WDM, Optical Transport, and SDH/SONET. Enable user control over network configuration through Optics Network Management applications. Interface Optics Network Management applications with various Network Elements, providing a user-friendly graphical interface and implementing algorithms. Deploy Optics Network Management applications globally, supporting hundreds of installations across different customer sizes. Contribute to new developments as part of the Optics Network Management development team. Hands-on experience with CORE JAVA, Spring, Kafka, Zookeeper, Hibernate, and Python. Working knowledge of RDBMS, PL-SQL, Linux, Docker, and database concepts. Exposure to UI technologies like REACT is desirable. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree or equivalent with 8 to 12 years of experience. Motivated for high-quality software development in complex, challenging, and geographically distributed environments. Hands-on experience in development activities such as requirement analysis, design, coding, and unit testing. Domain knowledge in OTN (Optical Transport Network), Photonic network management, will be a value add. It would be nice if you also had: A motivated and never-give-up attitude to reach assigned goals in a dynamic and competitive international environment. Solid, equilibrated personality, able to properly face high-paced development activity and demonstrate self-organizing capabilities. Good knowledge of continuous integration and agile practices.

As a Senior Technical Specialist, you will apply your expertise in data science, machine learning, and generative AI to develop models, analyze data, and extract insights. Using Python or Java, along with tools for forecasting, anomaly detection, and pattern recognition, you will collaborate with senior data scientists to refine datasets and build predictive models. Staying ahead of AI advancements, you will leverage frameworks like TensorFlow, Keras, and PyTorch to drive innovation. HOW YOU WILL CONTRIBUTE AND WHAT YOU WILL LEARN Assist in data collection, cleaning, and preprocessing to ensure high-quality datasets for analysis. Analyze various forms of data, including textual, image, video, audio, and numerical data. Collaborate with senior data scientists to develop and implement machine learning models and algorithms. Perform statistical analysis and hypothesis testing to derive actionable insights from data. Create visual reports and derive insights from various data sources. Develop features from raw data to train machine learning models. Stay updated with industry trends and emerging technologies in data science and AI. Be familiar with machine learning frameworks such as TensorFlow, Keras, and PyTorch. KEY SKILLS AND EXPERIENCE You have: Bachelor's degree or equivalent with 8 to 12 years of experience. Experience in data science or AI roles, focusing on machine learning and generative AI. Proficiency in programming languages such as Python, Java. Experience with data visualization and analytical tools for analyzing data for forecasting, prediction, anomaly detection, and pattern recognition. It would be nice if you also had: Strong ability to analyze complex datasets and derive meaningful insights. Ability to work collaboratively within cross-functional teams, including data engineers and domain owners. Willingness to learn new technologies and methodologies as the field of AI evolves. High level of accuracy in data handling and model development.