Join our Team

About this opportunity

At Ericsson, were 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 Ericssons 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

- Expertise in DevOps pipeline orchestration and automation.
- Experience with any 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 up-to-date 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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