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.
About Cognizant
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, provincial or local laws.
