Job Summary
Design and implement scalable cloud native architectures using Python Java Azure and modern SRE DevOps practices for large enterprise solutions ensuring reliability security and performance while collaborating in a hybrid work model that enables close partnership with product security and operations teams to deliver measurable business value for global customers.
Responsibilities
- Architect end to end cloud native solutions using Python Java and Azure services that align with enterprise standards and deliver measurable business outcomes for complex digital products.
- Design highly available and resilient application architectures that meet strict reliability objectives and apply SRE principles to minimize downtime and customer impact.
- Define and implement CI CD workflows using GitHub based repositories and pipelines to enable rapid safe and auditable delivery of application changes across multiple environments.
- Develop robust observability strategies using logs metrics and traces that allow early detection of issues and support data driven reliability improvements.
- Optimize application and infrastructure performance on Azure by tuning resource configurations scaling strategies and caching approaches to enhance user experience.
- Collaborate closely with product owners engineers and site reliability practitioners to translate functional and non functional requirements into clear architectural blueprints.
- Establish coding patterns and integration designs in Python and Java that promote reusability security and maintainability across distributed teams.
- Review solution designs code and deployment configurations to identify technical risks and recommend practical remediation steps that reduce operational toil.
- Drive adoption of infrastructure as code and automated configuration management to standardize environments and lower error rates in day to day operations.
- Create and maintain high quality architectural documentation and diagrams that provide clarity for engineering and operations partners throughout the delivery lifecycle.
- Advise teams on effective use of Azure platform services including container data and security capabilities to accelerate feature delivery without compromising reliability.
- Mentor engineers on SRE and DevOps practices such as error budgeting incident review and capacity planning to build a culture of shared responsibility for uptime.
- Engage in incident reviews and continuous improvement activities to ensure production learnings are translated into durable architectural enhancements.
Qualifications
- Bring a strong background in designing and delivering large scale applications using Python and Java with at least nine years of hands on software development experience.
- Demonstrate proven experience with GitHub based workflows including branching strategies pull request reviews and automated checks for enterprise projects.
- Show solid practical knowledge of Azure services such as compute storage networking and managed databases with a track record of successful production deployments.
- Apply SRE and DevOps concepts including service level objectives monitoring alerting and runbook automation to improve reliability and reduce mean time to recovery.
- Exhibit strong understanding of secure coding practices identity and access concepts and data protection mechanisms as applied within cloud hosted applications.
- Communicate complex architectural decisions clearly to both technical and non technical stakeholders and document rationale to support future evolution of solutions.
- Work effectively in a hybrid work model using remote collaboration tools and structured communication practices to maintain alignment across distributed teams.
- Utilize problem solving skills and analytical thinking to troubleshoot challenging production issues and propose sustainable architectural remedies.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
