About the role
As a Lead Python Developer (MongoDB/Node.js/TypeScript), you will make an impact by designing and developing scalable, secure, and high-performing applications and integration solutions within a complex financial services environment. You will combine hands-on development expertise with technical leadership to help define solution architecture, integration patterns, and cloud-based solutions.
In this role, you will:
- Design and develop scalable applications, microservices, APIs, and integration solutions using Python, Node.js, TypeScript, and MongoDB.
- Provide technical leadership in defining solution architectures, identifying gaps between current and target states, and recommending scalable solutions.
- Design and support REST APIs and integrations across on-premises, cloud, third-party, and document management systems.
- Build solutions that support large data volumes while considering performance, security, infrastructure, and enterprise architecture requirements.
- Collaborate with cross-functional teams to implement cloud, DevOps, data integration, and security best practices.
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 3-4 days a week in a client or Cognizant office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through 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 experience designing and developing software solutions involving distributed computing, microservices, APIs, and enterprise integrations
- Strong development experience within financial services.
- Strong hands-on development experience with Python, Node.js, TypeScript, MongoDB, REST APIs, and JSON.
- Experience designing and delivering large-scale data platforms and enterprise solutions, including integrations with third-party systems and document management systems.
- Experience with cloud architecture, microservices, Jenkins, Docker, Kubernetes, GitHub, Linux, Windows, DevOps, and data integration technologies.
- Bachelor's or Master's degree in Computer Science, Engineering, or an equivalent field, with strong analytical, communication, and presentation skills.
These will help you stand out
- Experience within Capital Markets or related financial services environments.
- Knowledge of data fabric, data mesh, and enterprise data architecture principles.
- Understanding of security technologies and practices, including single sign-on, Enterprise Mobility Management, BYOK, data masking, and Data Loss Prevention.
- Cloud certification in AWS, Microsoft Azure, or Google Cloud Platform (GCP).
- Experience influencing cross-functional stakeholders and working within Agile and Scrum delivery environments.
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.
Salary and Other 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 $75,000 - CAD $117,000 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。







