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.
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
