Job Summary
Serve as a senior engineer for execution systems delivering robust solutions that connect manufacturing operations with enterprise platforms through Azure DevOps GITHUB RDBMS and AVEVA PI Historian. Apply extensive experience to design implement and optimize hybrid day shift systems that enhance supply chain reliability operational visibility and data driven decision making while ensuring secure and scalable execution environments.
Responsibilities
Design and implement execution system solutions that integrate Azure DevOps GITHUB RDBMS and AVEVA PI Historian to provide resilient data flows across manufacturing and supply chain operationsDevelop and optimize scalable data models within relational databases to ensure reliable storage retrieval and reporting of execution and process information for enterprise stakeholdersConfigure and maintain AVEVA PI Historian environments to capture high fidelity time series data from plant systems enabling advanced analysis of production performance and asset healthCreate and manage Azure DevOps pipelines that automate build test and deployment workflows for execution system components improving release reliability and reducing manual interventionAdminister and enhance GITHUB based repositories by enforcing branching strategies and pull request practices that support clean version control and traceability of execution system code artifactsCollaborate with cross functional teams in a hybrid work model to translate manufacturing and supply chain requirements into detailed technical designs that support standardized and compliant execution processesPerform detailed root cause analysis of incidents in execution systems by reviewing logs data traces and configuration states and implement sustainable corrective actions to prevent recurrenceOptimize query performance and database configurations in RDBMS platforms to support timely reporting dashboards and analytics that guide tactical and strategic decisions in operationsDevelop and maintain monitoring and alerting solutions for execution systems using PI data and database metrics to detect anomalies early and support proactive maintenance and operational continuityDocument system architectures integration patterns and configuration standards for execution platforms so that support teams and stakeholders can clearly understand dependencies and maintenance proceduresCoordinate and perform system upgrades patches and configuration changes during day shifts in a controlled manner to minimize disruption while keeping execution environments secure and currentSupport validation and testing activities by preparing test data executing test cases and confirming that execution systems meet functional performance and compliance expectations before release to productionProvide guidance and mentoring to peers on best practices in Azure DevOps GITHUB RDBMS and AVEVA PI Historian so that the broader team can consistently deliver high quality execution solutions
Qualifications
Apply advanced knowledge of Azure DevOps to define pipeline stages artifact management and environment strategies that align with execution system lifecycle needs and organizational governanceUse deep experience in GITHUB and related workflows to maintain clean repositories code reviews and collaboration models that support stable development of execution system applications and servicesLeverage strong RDBMS expertise including schema design indexing and query tuning to ensure that execution data structures support reporting integration and long term maintainabilityUtilize extensive hands on proficiency with AVEVA PI Historian including tag configuration interface management and data compression settings to deliver reliable industrial data infrastructureDraw on practical exposure to manufacturing processes to design execution solutions that respect shop floor constraints production sequencing and quality considerations for real world plantsApply understanding of supply chain concepts such as demand planning inventory flows and logistics to shape execution data models and integrations that provide end to end visibilityOperate effectively within a hybrid work model by using collaboration tools structured communication and disciplined documentation practices to maintain continuity between remote and onsite activities
Over Cognizant
Cognizant (NASDAQ: CTSH) is een bouwer van AI-oplossingen en een leverancier van technologiediensten. Wij slaan de brug tussen AI-investeringen en ondernemingswaarde door het bouwen van full-stack AI-oplossingen voor onze klanten. Onze diepgaande kennis van sectoren, processen en engineering stelt ons in staat om de unieke context van een organisatie te verankeren in technologische systemen. Deze systemen versterken het menselijk potentieel, realiseren tastbare resultaten en geven wereldwijde ondernemingen een voorsprong in een snel veranderende wereld. Ontdek hoe op cognizant.ai of @cognizant.
Aanvullende arbeidsinformatie
De informatie over de beloning is correct op de datum van deze vacature. Cognizant behoudt zich het recht voor om deze informatie op elk moment te wijzigen, met inachtneming van de toepasselijke wetgeving.
Van sollicitanten kan worden verwacht dat zij gesprekken bijwonen, persoonlijk of via een videogesprek. Daarnaast kan van kandidaten worden gevraagd om tijdens elk gesprek een geldig, door de overheid uitgegeven identiteitsbewijs (zoals een identiteitskaart of paspoort) te tonen.
Cognizant is een werkgever die gelijke kansen biedt. Je sollicitatie en kandidatuur worden niet beoordeeld op basis van ras, huidskleur, geslacht, religie, levensovertuiging, seksuele geaardheid, genderidentiteit, nationale afkomst, handicap, genetische informatie, zwangerschap, veteranenstatus of enige andere eigenschap die wordt beschermd door federale, regionale of lokale wetgeving.
