DevOps Architect

## Join our Team About this opportunity At Ericsson, we're passionate about building software that solves problems. As a DevOps leader, you will lead a team of developers delivering DevOps, CI/CD and automation solutions for Ericsson's 4G and 5G product portfolio, implemented in customer networks across different business cases. What you will do * Lead technical design discussions, architecture reviews and proof-of-concept initiatives. * Gather and analyze metrics from operating systems and applications to support performance tuning and fault finding. * Partner with development teams to improve services through rigorous testing and release procedures. * Participate in system design consulting and platform management. * Create sustainable systems and services through automation and uplifts. * Balance feature development speed and reliability with well-defined service level objectives. * Roll out automation in customer environments and troubleshoot during live node activities. What you will bring * Demonstrable experience in full-stack systems and software development. * Expertise in DevOps pipeline orchestration and automation. * Experience with public cloud platforms: Azure, AWS, GCP. * Must have: Git, Ansible, Python, Bash scripting, JSON/YAML, Ubuntu 20.04/22.04 and RHEL 7/8. * Also valued: Kubernetes, GitLab, Docker, Azure DevOps, GitHub, Puppet/Chef, Cloudflare Access, SonarQube (SAST), Artifactory. * Knowledge and hands-on experience in GitOps through Flux. * Experience with common development tools: source code management, configuration management, security and compliance, artifact repositories and monitoring tools. * Project management skills; Scrum, Agile and DevOps ways of working (preferred). * AI/ML architecture: Proven experience designing large-scale AI/ML solutions for production and enterprise environments. * Programming and ML: Strong Python with hands-on PyTorch and TensorFlow experience and modern deep-learning practices. * GenAI and LLMs: Deep understanding of LLM architectures, fine-tuning, prompt engineering, inference optimization and enterprise deployment. * RAG and knowledge systems: Hands-on experience with RAG pipelines, embeddings, vector databases, semantic search and knowledge-grounded AI applications. * Agentic AI: Familiarity with agentic AI frameworks, AI agents, tool calling, orchestration and integration protocols such as MCP. * MLOps: Solid grasp of CI/CD, model lifecycle management, observability, governance, monitoring, retraining and continuous improvement. * Enterprise architecture: Ability to translate complex business requirements into scalable, secure, resilient and cost-effective AI architectures. You will also * Design scalable, robust systems with development teams using cloud-native architectural principles. * Build automation with industry-standard tools to deploy hundreds of services. * Develop, manage and maintain automation assets of the Service Delivery Global DevOps Platform, including automation for platform infrastructure, applications and services. * Provide primary operational support, lifecycle management and engineering for platform systems and services. “All academic credentials must be from recognized and accredited institutions and are further subject to verification.”