## DevOps ArchitectBangalore,Karnataka,IndiaUse AI to find out how well you match with this jobJob ID: 793909## 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.”**