Job Summary
This role involves leveraging expertise in Machine Learning Azure Moogsoft SRE Data Science Incident Management ServiceNow ITOM and Python to drive technical solutions and ensure operational excellence. The candidate will work in a hybrid model during day shifts contributing to impactful projects that align with organizational goals.
Responsibilities
- Develop and implement Machine Learning models to solve complex business problems and enhance decision-making processes.
- Utilize Azure cloud services to design scalable and efficient solutions for data storage processing and analytics.
- Manage and optimize Moogsoft platforms to ensure proactive incident detection and resolution.
- Apply Site Reliability Engineering (SRE) principles to improve system reliability scalability and performance.
- Perform advanced data analysis using Data Science techniques to uncover actionable insights and trends.
- Lead incident management efforts to minimize downtime and ensure seamless service delivery.
- Configure and maintain ServiceNow ITOM modules to streamline IT operations and enhance service management.
- Write efficient and maintainable Python scripts for automation data processing and system integration tasks.
- Collaborate with cross-functional teams to ensure alignment of technical solutions with business objectives.
- Provide technical guidance and mentorship to team members to foster skill development and knowledge sharing.
- Conduct regular system performance evaluations and implement improvements to optimize operational efficiency.
- Ensure compliance with organizational standards and best practices in all technical implementations.
- Contribute to the companys mission by delivering innovative solutions that positively impact society. Qualifications
- Possess strong expertise in Machine Learning with hands-on experience in developing and deploying models.
- Demonstrate proficiency in Azure cloud services including data storage analytics and application deployment.
- Have practical experience in managing Moogsoft platforms for incident detection and resolution.
- Show a deep understanding of SRE principles and their application in improving system reliability.
- Exhibit advanced knowledge in Data Science techniques for data analysis and insight generation.
- Display a proven track record in incident management and minimizing service disruptions.
- Be skilled in configuring and maintaining ServiceNow ITOM modules for IT operations management.
- Have strong programming skills in Python with experience in automation and system integration.
- Showcase excellent problem-solving abilities and a proactive approach to technical challenges.
- Demonstrate effective communication skills to collaborate with diverse teams and stakeholders.
- Possess a detail-oriented mindset with a focus on delivering high-quality technical solutions.
- Have a commitment to continuous learning and staying updated with emerging technologies.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
