We are currently seeking an experienced Full-stack Engineering Manager to oversee and manage the maintenance, configuration, and deployment of our Knowledge Bot Platform for various business units. Our mission is to power insurance services that understand the users input, reason over it, retrieve the right information from various sources, and enable natural language interactions.
responsibilities :
Working in a SCRUM team with designer, frontend and backend developers.
Maintenance and development of cloud infrastructure: Youll need experience with AWS DevOps and AWS CDK (Cloud Development Kit).
Deployment and maintenance of backend services: Requires Python, AWS CDK, and Linux knowledge.
Collaborating with other teams for API integrations between services.
Management of Zurichs AWS account and user access: Proficiency in AWS console.
Management of Atlas/MongoDB account and user access: Knowledge of Atlas and MongoDB.
Promoting best practices, coding conventions and sharing of knowledge in the team.
Planning and documenting architecture as the application grows.
Conversational AI compliance with IT service controls: Experience with IT service control compliance.
Ensuring security and compliance standards are followed in the developed application.
Used technologies and frameworks: React, Typescript, Python, FastAPI, MongoDB, AWS, Azure Entra, OIDC, Red Hat OpenShift, Azure Devops pipelines, Jira, Confluence.
requirements-expected :
A degree in Computer Science, IT, or related field.
A proven track record of successful project/product implementation with minimal of 4-7 years of Continuous Integration, Continuous Delivery, Pair programming and Test Driven Development.
Extensive experience with Machine Learning, including MLOps.
Strong experience with AWS DevOps, AWS CDK, JavaScript, React, Linux, Python, and bash.
Proficiency in one or more frontend framework (HTML5 / Angular / React).
Has Hands-on Test Driven Development experience and able to author Unit, Integration and Functional Tests.
Experience with bringing AI solutions into production.
Experience with cloud and system architectures and their related tools.
Strong understanding of AWS deployment servers and EC2 instances.
Experience with PlanningIT/Alfabet, Okta, MongoDB.
Strong analytical and problem-solving skills.
Excellent project management skills.
Strong communication and interpersonal skills.
offered :
Real life opportunities to develop and grow with us and contribute to the world around us
Competitive salaries, language allowance and an employee benefits package that includes among others medical insurance, life insurance and sport-card
Annual bonus depending on company annual results and individual performance
Wide range of learning programs and personal development opportunities including also possibility to apply for up to 80% of educational trainings reimbursement
Referral awards
Online fitness trainings
Possibility to work from home
Nice and friendly atmosphere
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
