{"id":3082978,"url":"https://alion.io/job/att-specialist-system-engineering-devops-engineer-ai-pipeline-automation","title":"Specialist System Engineering - DevOps Engineer — AI & Pipeline Automation","company":{"id":1753140,"name":"AT&T","domain":"att.com","url":"https://alion.io/company/att-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":96,"open_postings":95,"ghost_share":0,"stale_share":0.158,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-27T05:46:45Z"}},"role":"DevOps","role_family":"DevOps","seniority":null,"employment_type":"full_time","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":"Ansible","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Bash","optional":false},{"name":"Bicep","optional":false},{"name":"CI/CD","optional":false},{"name":"Function Calling","optional":false},{"name":"Helm","optional":false},{"name":"Kubernetes","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"PowerShell","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Self-Healing","optional":false},{"name":"AI Agents","optional":true},{"name":"Copilot","optional":true},{"name":"Datadog","optional":true},{"name":"Grafana","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"Prometheus","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-22T12:51:46Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-27T10:16:30Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Responsibilities\nDesign, build, and maintainAzure DevOps CI/CD pipelines that support 5G NF application deployment from lab environments through production with repeatable, secure, and automated promotion workflows.\n\nDevelop AI-assisted pipeline automation capabilities that use LLMs to analyze build failures, deployment issues, pipeline health, and operational telemetry.\n\nBuild and maintain MCP servers and AI-callable tool integrations that expose Azure, Azure DevOps, Kubernetes, repository, and deployment capabilities through controlled automation interfaces.\n\nCreate self-healing pipeline workflows that can detect common failure patterns, trigger approved remediation steps, and provide clear diagnostics, confidence levels, and escalation paths.\n\nPartner with client project teams to understand delivery requirements, architect CI/CD solutions, and implement automation patterns aligned with enterprise DevOps standards.\n\nDevelop reusable YAML templates, pipeline components, scripts, and automation libraries that standardize CI/CD delivery across applications, environments, and teams.\n\nIntegrate pipeline workflows with source control, artifact repositories, approvals, environment gates, testing frameworks, security checks, and release governance processes.\n\nSupport Kubernetes-based deployments by troubleshooting deployment failures, configuration issues, container readiness, service health, and environment-specific pipeline behavior.\n\nImplement observability for CI/CD systems, including pipeline metrics, logs, dashboards, alerts, failure trend analysis, and continuous improvement feedback loops.\n\nApply secure DevOps practices for secrets handling, access control, policy enforcement, code review, vulnerability checks, and audit-ready release execution.\n\nCreate AI-assisted root-cause analysis tools and knowledge workflows that help engineering teams quickly identifyprobable causes and recommended next actions.\n\nLead technical discussions, working sessions, demos, and hands-on training to improve DevOps maturity and enable client teams to adopt AI-enabled pipeline automation.\n\nDocument architecture, operating procedures, automation patterns, troubleshooting guides, and standards to ensure consistent adoption and long-term maintainability.\n\nContinuously evaluate emerging DevOps, GenAI, LLM, and MCP capabilities and recommend practical enhancements that improve delivery speed, quality, reliability, and operational efficiency.\n\nJob Qualifications / Required Qualifications\nLinux & Scripting Fundamentals\nExpert-level Linux experience with strong scripting skills in Bash, Python, and/or PowerShell\n\nProven ability to automate manual processes using scripting languages and Infrastructure as Code (e.g., Ansible)\n\nHands-on experience containerizing, deploying, debugging, and maintainingapplications\n\nAzure DevOps & Pipeline Engineering\nExpert ability to build ADO Pipelines from the ground up using YAML\n\nProficiencywith azcli commands within ADO Pipelines to interact with Azure Resources\n\nDeep understanding of ADO Repos including branching, tagging, and environment management strategies\n\nWorking knowledge of ADO Agents -their purpose, capabilities, and limitations\n\nStrong use of JSON and YAML as data formats across scripts, Ansible playbooks, and pipelines\n\nAzure Platform & Infrastructure\nExperience with Azure Container Registry (ACR) to import, tag, and extract images and charts within pipelines\n\nUnderstanding of Azure Resource Manager, Endpoints, and Service Principals\n\nAbility to build Azure Resources using Bicep and ARM Templates with emphasis on parameterization\n\nFamiliarity with Azure Key Vault (AKV) and Hashi Corp Enterprise Vault (HCEV) for secrets management\n\nExperience with Azure Operator Service Manager (AOSM)\n\nKubernetes & Container Orchestration\nHands-on experience deploying, managing, and debugging workloads on Kubernetes (AKS preferred)\n\nProficiencywith kubectlfor inspecting pods, logs, events, and resource states during pipeline-triggered deployments\n\nAbility to diagnose and resolve common deployment failures including CrashLoopBackOff, image pull errors, resource quota issues, and failed health probes\n\nExperience integrating Kubernetes deployment steps into ADO Pipelines including rollout strategies, namespace management, and environment promotion\n\nFamiliarity with Helm charts for packaging and deploying applications through pipelines\n\nUnderstanding of Kubernetes RBAC, service accounts, and their role in secure pipeline-based deployments\n\nAI & LLM Integration\nHands-on experience integrating Azure OpenAI or equivalent LLM APIs into automation workflows\n\nAbility to design prompts for pipeline analysis, failure summarization, and root-cause diagnosis\n\nFamiliarity with agent-based AI patterns including tool/function calling and Retrieval-Augmented Generation (RAG)\n\nExperience designing and building custom MCP servers to expose internal APIs and data as AI-callable tools\n\nPipeline Intelligence & Analysis\nAbility to leverageADO REST APIs to surface pipeline health metrics, flaky tests, and failure patterns\n\nExperience building AI-assisted workflows for root-cause analysis against pipeline logs\n\nCapability to design self-healing pipeline logic - detect, diagnose, remediate, and re-trigger\n\nCommunication & Collaboration\nDemonstrated ability to articulate complex technical concepts, solutions, and standards to stakeholders across varying skill levels - through both presentations and discussions\n\nCollaborative approach to working across platform, security, and application engineering teams\n\nPreferred Qualifications\nMinimum bachelor’s degree in Computer Science, Electronics and Communication, Engineering, Information Technology, or a relatedtechnical discipline.\n\nDemonstrated experience building enterprise-grade Azure DevOps pipeline automation using YAML, reusable templates, environment gates, approvals, and automated release promotion workflows.\n\nHands-on experience integrating AI or LLM capabilities into DevOps workflows for build failure analysis, pipeline summarization, root-cause diagnosis, and recommended remediation.\n\nExperience designing or operating MCP servers, AI-callable tools, function-calling frameworks, or controlled automation interfaces that interact with Azure, ADO, repositories, Kubernetes, or internal APIs.\n\nPractical experience with self-healing or intelligent automation that detects recurring failure patterns, triggers approved remediation actions, andprovides diagnostics with clear escalation paths.\n\nStrong working knowledge of Kubernetes-based application deployments, Helm charts, container registries, kubectltroubleshooting, rollout strategies, and secure service account/RBAC practices.\n\nExperience using Azure services such as Azure Container Registry, Azure Key Vault, Service Principals, ARM/Bicep templates, Azure CLI, and Azure Operator Service Manager within automated delivery pipelines.\n\nFamiliarity with observability and pipeline intelligence practices, including pipeline health metrics, log analysis, flaky test detection, dashboards, alerts, and continuous improvement feedback loops.\n\nExposure to GenAI patterns such as prompt engineering, Retrieval-Augmented Generation, tool/function calling, agentic workflows, and responsible use of AI guardrails in automation scenarios.\n\nAbility to lead technical working sessions, document standards and operating procedures, and train client or engineering teams on AI-enabled DevOps pipeline automation.\n\nNice to Have\nExperience with GitHub Copilot extensibility or custom AI agents.\n\nFamiliarity with vector databases and Azure AISearchfor embedding-based workflows.\n\nPrior workbuilding AI-powered DevOps dashboards or reporting tools.\n\nExperience with Kubernetes-native observability tools such as Prometheus, Grafana, or Datadog.\n\nAdditional Job Information\nThis is an offshore role that requires daily collaboration with U.S. stakeholders, including overlapping work hours to ensure effective partnership and meet business needs.\nWeekly Hours:\n40Time Type:\nRegularLocation:\nIND:KA:Bangalore / Intl Tech Park, Navigator Bldg, Whitefield Road: Intl Tech Park, Navigator Bldg:Intl Tech Park, Navigator BldgAT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.","description_format":"text","description_chars":9038,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Mobile Networks","Broadband"],"lifecycle":[{"event":"open","at":"2026-10-22T12:51:46Z"}],"visa":[],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.885,"p_room":1,"age_days":4,"expected_fill_days":25,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-10-27T05:46:45Z"},"pay":null,"html_url":"https://alion.io/job/att-specialist-system-engineering-devops-engineer-ai-pipeline-automation","json_url":"https://alion.io/job/att-specialist-system-engineering-devops-engineer-ai-pipeline-automation.json","meta":{"generated_at":"2026-10-27T14:32:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3085,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-28T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1753140},"rest":"https://alion.io/mcp/rest/get_company?id=1753140"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatt-specialist-system-engineering-devops-engineer-ai-pipeline-automation"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fatt-specialist-system-engineering-devops-engineer-ai-pipeline-automation"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fatt-specialist-system-engineering-devops-engineer-ai-pipeline-automation"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/att-specialist-system-engineering-devops-engineer-ai-pipeline-automation\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatt-specialist-system-engineering-devops-engineer-ai-pipeline-automation"}]}