{"id":2441553,"url":"https://alion.io/job/centific-technical-support-specialist-2","title":"Technical Support Specialist","company":{"id":9945,"name":"Centific","domain":"centific.com","url":"https://alion.io/company/centific","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"C","score":61,"open_postings":92,"ghost_share":0.652,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Support","role_family":"Support","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":["George Town, Malaysia"],"countries":["MY"],"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":"Azure","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"OCR","optional":false},{"name":"Power Automate","optional":false},{"name":"Power BI","optional":false},{"name":"RAG","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Incident Management","optional":true},{"name":"PowerShell","optional":true},{"name":"Python","optional":true},{"name":"Rest API","optional":true}],"status":"live","first_seen_at":"2026-10-13T12:12:54Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-13T16:57:52Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":0},"description":"About Centific\nCentific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem-comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets-to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.\nOur mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.\nAbout Job\nWe are looking for a hands-on Data Operations & Automation Engineer to support the OCR Form Telemetry project. The role will perform responsibilities supporting high-volume data requests across multiple Microsoft products and stakeholders.\nThe successful candidate will manage daily operational requests, execute and optimize Kusto queries, monitor Azure Data Explorer environments, troubleshoot data issues, and develop automation that improves the team’s capacity and service quality. This position requires a combination of technical data skills, operational discipline, stakeholder communication, and a continuous-improvement mindset.\nKey Responsibilities\nData and Operational Support\nReceive, triage, prioritize, and complete requests submitted through the OCR Form ticketing system and other approved channels.\nExecute Kusto Query Language (KQL) queries in Azure Data Explorer to retrieve telemetry data.\nPrepare data extracts, snapshots, metrics, and analysis for product teams and other stakeholders.\nInvestigate data discrepancies, missing data, query failures, and telemetry-related issues.\nSupport workloads across products such as Excel Agent, Implicit, Aurora, OCV, Omni, Jarvis, and future onboarded products.\nReview and approve applicable pull requests while following established validation and change-control processes.\nMaintain accurate request status, ownership, priority, resolution notes, and completion records.\nMeet agreed response and resolution service levels while escalating blockers and urgent requests appropriately.\nQuery Development and Performance\nDevelop, validate, maintain, and optimize KQL queries.\nTroubleshoot slow-running queries, timeouts, incorrect results, and excessive resource consumption.\nVerify that optimized queries produce results consistent with the original business requirements.\nMonitor ADX cluster utilization, query performance, traffic patterns, and service health.\nSelect appropriate clusters and execution strategies based on availability and workload.\nMaintain reusable query templates and standard solutions for common requests.\nAutomation and Continuous Improvement\nIdentify repetitive or high-volume activities that can be standardized or automated.\nBuild and maintain automation using tools such as Power Automate, Copilot CLI, Agency Copilot, scripts, and internal platforms.\nSupport and enhance the ADX query automation bot.\nAutomate recurring data requests and delivery of output files to stakeholders.\nDevelop dashboards and self-service solutions using Power BI or similar tools.\nImprove operational efficiency without compromising data accuracy, security, or reliability.\nDocument automation logic, dependencies, operating procedures, and recovery steps.\nStakeholder and Team Collaboration\nWork directly with product teams, engineers, analysts, and business stakeholders to understand data requirements.\nClarify incomplete requests and translate business questions into accurate data queries.\nCommunicate request status, expected turnaround time, risks, and blockers clearly.\nHelp onboard new stakeholders by explaining request formats, priorities, available services, and service-level expectations.\nCollaborate with team members to balance workloads and maintain service continuity during demand spikes or absences.\nEscalate permission, infrastructure, server-capacity, and data-access issues to the appropriate teams.\nReporting and Governance\nContribute to weekly and monthly operational reporting, including:\nRequest volume and completion rate\nTurnaround time and SLA performance\nWorkload by product and request type\nStakeholder demand\nAfter-hours requests\nCapacity and utilization\nAutomation benefits and efficiency improvements\nMaintain operational documentation, user guides, development logs, and knowledge-base articles.\nParticipate in regular backlog, capacity, service-quality, and process-improvement reviews.\nFollow applicable security, privacy, data-handling, and access-control requirements.\nRequired Qualifications\nDiploma or bachelor’s degree in Computer Science, Information Technology, Data Analytics, Engineering, or a related discipline.\nPractical experience in data operations, technical support, business intelligence, telemetry analysis, or a similar role.\nWorking knowledge of Kusto Query Language (KQL) and Azure Data Explorer.\nAbility to analyze structured data, validate query results, and investigate data-quality issues.\nExperience with Microsoft Excel, including working with large datasets and producing structured outputs.\nFamiliarity with Git-based workflows and pull-request reviews.\nStrong troubleshooting, prioritization, and problem-solving skills.\nClear written and verbal communication skills in English.\nAbility to work independently while collaborating within a small, high-performing team.\nStrong attention to detail and commitment to data accuracy.\nPreferred Qualifications\nExperience with one or more of the following:\nPower Automate\nPower BI\nCopilot CLI or other AI-assisted engineering tools\nPython, PowerShell, or another scripting language\nREST APIs and workflow integration\nAzure monitoring and dashboarding\nExperience optimizing KQL queries for performance and resource efficiency.\nExperience building bots, self-service tools, dashboards, or operational automation.\nFamiliarity with telemetry systems, product analytics, or Microsoft engineering environments.\nExperience supporting multiple stakeholders in a high-volume, SLA-driven environment.\nKnowledge of incident management, ticketing systems, and operational reporting.\nKey Competencies\nCustomer and stakeholder focus\nOperational ownership and accountability\nData accuracy and analytical thinking\nAutomation-first mindset\nEffective workload prioritization\nProactive communication\nContinuous learning and improvement\nAbility to remain effective during demand spikes\nSuccess Measures\nSuccess in this role will be measured through:\nAccuracy and completeness of data delivered\nRequest completion and SLA performance\nStakeholder satisfaction\nReduction in repetitive manual activities\nQuery-performance improvements\nReliability of automation and self-service solutions\nQuality of documentation and operational records\nContribution to team capacity, resilience, and knowledge sharing\nCentific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. 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