We are seeking a highly skilled Senior Python Developer with expertise in Python, Site Reliability Engineering (SRE), Automation, and Data Science to develop and support scalable automation solutions that improve system reliability, operational efficiency, and business performance. The role will focus on building Python-based automation tools, enhancing observability, analysing reliability data, and supporting merchandising-related business processes across enterprise platforms.
In this role, you will:
· Design, develop, and maintain Python-based automation solutions to improve operational efficiency, reliability, and scalability across enterprise applications.
· Build automation tools and workflows that reduce manual effort, streamline operational processes, and improve service availability.
· Analyse system reliability metrics, application performance data, and operational trends to identify opportunities for automation and continuous improvement.
· Collaborate with SRE, Engineering, and Operations teams to implement monitoring, alerting, and incident management solutions.
· Develop and enhance observability capabilities using metrics, logs, and traces to support troubleshooting, root cause analysis, and performance optimisation.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in Toronto, ON. 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
· 8+ years of software development, automation engineering, SRE, or platform engineering experience.
· Strong hands-on experience in Python development, including automation frameworks, APIs, data processing, and scripting.
· Experience with Site Reliability Engineering practices, including monitoring, alerting, observability, incident management, and operational excellence.
· Good understanding of data science concepts, data analysis, statistical modelling, and predictive analytics.
· Experience working with monitoring and observability tools such as Grafana, Prometheus, Datadog, Splunk, Dynatrace, ELK, or similar platforms.
These will help you stand out
· Experience with AWS, Azure, or Google Cloud Platform.
· Knowledge of CI/CD pipelines, DevOps practices, Infrastructure as Code (Terraform, Ansible), and container technologies.
· Experience with machine learning libraries and advanced analytics tools.
· Experience supporting large retail, e-commerce, or merchandising platforms.
· Relevant certifications in Python, Cloud Technologies, DevOps, SRE, or Data Science.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Total compensation - We regularly assess market data to ensure we offer a competitive compensation package for our associates. The base salary for this position ranges between CAD 60300– CAD 95500 per year. Where the successful candidate may fall within the range depends on relevant education, work and/or management experience and other business-related and job-necessary qualifications. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing.
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。
