As a Domain Architect, you will deploy, integrate, and optimize telecom core network solutions, focusing on automation and cloud technologies. Responsibilities include supporting network solutions, contributing to automation tasks, testing network performance, and collaborating with cross-functional teams.
You will join a dynamic telecom architecture team working on the deployment, integration, and automation of core network solutions. This role offers hands-on experience with 3GPP-based telecommunications systems, cloud-native environments, and DevOps practices.
You will contribute to the design, validation, and optimization of telecom network solutions, with a strong focus on automation, cloud technologies, and next-generation network evolution (5G, IoT, analytics). This is a learning-driven role designed to develop future domain architects through real project exposure and collaboration with senior experts.
Responsibilities- Support the deployment, integration, and validation of telecom core network solutions (SDM, signaling, policy, etc.).
- Contribute to the automation of cloud core solutions, leveraging DevOps practices and AI-driven approaches.
- Develop scripts and automation tasks using Python, Perl, Shell, or Java.
- Assist in testing and validating network performance, reliability, and scalability.
- Collaborate with cross-functional teams (engineering, development, operations) to deliver high-quality solutions.
- Document technical specifications, configurations, and integration procedures.
You Have:
- Programming skills in at least one of the following: Python, Perl, Shell, or Java
- Familiarity with Kubernetes and CI/CD practices in integration and development environments
- Knowledge of 3GPP telecommunications and core network technologies.
It Would Be Also Nice to Have:
- Understanding of virtualization and cloud technologies (OpenStack, VMware).
- Exposure to radio technologies (2G, 3G, 4G) and interest in 5G, IoT, or analytics.
- Knowledge of DevOps methodologies and cloud-native architectures.
#LI-Hybrid
Similar Jobs
Software
Lead architecture and evolution of large-scale Kubernetes-based platforms. Translate business needs into scalable HLD/LLD solutions, set cloud-native best practices, guide engineering teams, support implementation and production troubleshooting, and improve platform capabilities across CI/CD, observability, and security.
Top Skills:
Ci/CdCloud-NativeContainersDistributed SystemsDockerGitopsInfrastructure As CodeKubernetesLinuxMicroservicesNetworkingObservability ToolsSecurityService Mesh
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.
Top Skills:
Ai AgentsAnnotation WorkflowsBraintrustCachingCi/CdEvaluation FrameworksLangsmithLlmsModel RoutingObservability ToolingPythonRuby On Rails
Enterprise Web • Hardware • Internet of Things • Software
Manage a portfolio of life sciences customer accounts, driving adoption, utilization, operational digitization, measurable ROI, renewals, and commercial expansion. Serve as the internal customer champion and trusted advisor while coordinating Sales, Product, Engineering, Support, Professional Services, and partners. Build executive relationships, lead stakeholder presentations, guide GxP manufacturing change management, and improve Customer Success processes. The role requires life sciences industry experience, enterprise collaboration, and up to 15% travel across the EMEA region.
Top Skills:
AITulip
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
