We are seeking an experienced Forward Deployed Engineer with expertise in Python, AI technologies, Google Cloud Platform (GCP), and systems integration to support and enhance mission-critical applications. The ideal candidate will be responsible for troubleshooting production issues, developing new features, implementing customer enhancements, and leveraging AI technologies to improve business processes and application reliability.
In this role, you will:
· Troubleshoot and resolve menu, promotional content, and data ingestion issues to ensure seamless system performance and reliable data flow.
· Investigate, analyse, and remediate application defects, production incidents, and integration challenges in a timely manner.
· Design, develop, test, and deploy new features and customer-specific enhancements to support evolving business requirements.
· Configure and support onboarding of new brands and store locations, ensuring successful integration and validation of system requirements.
· Collaborate with engineering, product, operations, and support teams to identify root causes and implement sustainable solutions.
· Perform functional, integration, and regression testing to ensure application quality, stability, and performance.
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
· Minimum 15+ years of software development, application support, or systems integration experience.
· Strong hands-on expertise in Python development with experience building scalable applications and services.
· Experience working with Google Cloud Platform (GCP), including cloud-native applications and infrastructure.
· Knowledge of Generative AI technologies, including Gemini Enterprise or other enterprise AI/LLM platforms.
· Strong understanding of API integrations, data pipelines, and distributed system architectures.
· Hands-on experience with gRPC and Protocol Buffers (Protobuf).
· Experience writing and optimising SQL queries for data analysis and troubleshooting.
· Working knowledge of Linux and Bash scripting.
· Strong experience in test strategy, implementation, automation, and quality assurance best practices.
Salary and Other Compensation:
The annual salary for this position is between $ 102600 to $ 162500 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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。







