{"id":3793926,"url":"https://alion.io/job/ericsson-devops-architect","title":"DevOps Architect","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":85,"open_postings":126,"ghost_share":0.024,"stale_share":0.468,"repost_share":0.103,"time_to_fill_p50_days":35,"computed_at":"2026-11-06T05:58:05Z"}},"role":"DevOps","role_family":"DevOps","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Ansible","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Chef","optional":false},{"name":"CI/CD","optional":false},{"name":"Cloudflare","optional":false},{"name":"Configuration Management","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Git","optional":false},{"name":"GitOps","optional":false},{"name":"JFrog Artifactory","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"SonarQube","optional":false},{"name":"TensorFlow","optional":false},{"name":"Ubuntu","optional":false}],"status":"live","first_seen_at":"2026-11-03T13:54:38Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-06T17:33:56Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Join our Team\nAbout this opportunity\nAt 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.\nWhat you will do\nLead technical design discussions, architecture reviews and proof-of-concept initiatives.\nGather and analyze metrics from operating systems and applications to support performance tuning and fault finding.\nPartner with development teams to improve services through rigorous testing and release procedures.\nParticipate in system design consulting and platform management.\nCreate sustainable systems and services through automation and uplifts.\nBalance feature development speed and reliability with well-defined service level objectives.\nRoll out automation in customer environments and troubleshoot during live node activities.\nWhat you will bring\nDemonstrable experience in full-stack systems and software development.\nExpertise in DevOps pipeline orchestration and automation.\nExperience with public cloud platforms: Azure, AWS, GCP.\nMust have: Git, Ansible, Python, Bash scripting, JSON/YAML, Ubuntu 20.04/22.04 and RHEL 7/8.\nAlso valued: Kubernetes, GitLab, Docker, Azure DevOps, GitHub, Puppet/Chef, Cloudflare Access, SonarQube (SAST), Artifactory.\nKnowledge and hands-on experience in GitOps through Flux.\nExperience with common development tools: source code management, configuration management, security and compliance, artifact repositories and monitoring tools.\nProject management skills; Scrum, Agile and DevOps ways of working (preferred).\nAI/ML architecture: Proven experience designing large-scale AI/ML solutions for production and enterprise environments.\nProgramming and ML: Strong Python with hands-on PyTorch and TensorFlow experience and modern deep-learning practices.\nGenAI and LLMs: Deep understanding of LLM architectures, fine-tuning, prompt engineering, inference optimization and enterprise deployment.\nRAG and knowledge systems: Hands-on experience with RAG pipelines, embeddings, vector databases, semantic search and knowledge-grounded AI applications.\nAgentic AI: Familiarity with agentic AI frameworks, AI agents, tool calling, orchestration and integration protocols such as MCP.\nMLOps: Solid grasp of CI/CD, model lifecycle management, observability, governance, monitoring, retraining and continuous improvement.\nEnterprise architecture: Ability to translate complex business requirements into scalable, secure, resilient and cost-effective AI architectures.\nYou will also\nDesign scalable, robust systems with development teams using cloud-native architectural principles.\nBuild automation with industry-standard tools to deploy hundreds of services.\nDevelop, manage and maintain automation assets of the Service Delivery Global DevOps Platform, including automation for platform infrastructure, applications and services.\nProvide primary operational support, lifecycle management and 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