This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
As a full-stack Senior Software Engineer at ITHAKA, you have an opportunity to put your talents towards a deeply meaningful mission. You will work on high-impact products that help put education within everyone’s reach. In this role you will: Have the freedom to leverage the right tools and languages to solve problems. Right now, we use technologies including AWS, Kubernetes, Kafka, Java, Golang, Python, TypeScript, and GitHub/GitLab. Develop and deploy software through an automated continuous delivery pipeline supporting over 200 production deployments a week. See the impact of your work as it is put in front of millions of users. Contribute to open source! We give back to the community whenever we can.
Job Responsibility:
Participate as an empowered member of a collaborative Agile team to design, develop, and maintain high performance applications
Leverage continuous deployment and test automation tools to deploy application changes to production multiple times per day
Interact with internal and external customers to understand their needs and drive the development of web applications to meet those needs
Implement rich, interactive web applications using the latest technologies, frameworks, and patterns
Leverage web analytics to support product discovery and to measure project KPIs
Test, measure, and optimize performance using Application Performance Management tools
Participate in the on-call rotation as a first point of contact for applications you own
Demonstrate leadership skills in mentoring team members and articulating and evangelizing new technologies, methodologies, and processes
Participate in analysis of pricing, risk/reward, cost advantages, and resourcing to support technological improvements
Requirements:
Minimum of 3 years of experience as a full-stack software engineer building large-scale, distributed web applications
Proven experience with cloud infrastructure services–in particular AWS (Lambda, API Gateway, Step Functions)
Expertise creating and operating backend services using languages like Python, Golang, Java, or JavaScript/TypeScript with frameworks like Fast API, NodeJS or Spring Boot
Fluent in creating and operating user-facing applications using frameworks like React or Vue
Experience creating and managing APIs for use by multiple teams using REST or GraphQL
Deeply knowledgeable in using a decentralized version control system like Git in a collaborative context on a platform like GitHub or GitLab
Proficient in creating and operating containerize applications, particularly in a Kubernetes environment using Docker
Familiarity with testing frameworks (e.g. JUnit, Jest, pytest, Playwright) and TDD practices
Hands-on experience mentoring other engineers in a technical and interpersonal capacity
Exceptional communication, thoughtfulness, and desire to give and receive regular feedback
Nice to have:
Real world experience building and operating LLM- or ML-backed systems in production
Ability to evaluate and reason about LLM outputs and system behavior
Experience utilizing Open Search for powering ML based solutions
Experience with serverless and event driven architecture is a plus
Proven background with accessible coding practices, including semantic HTML, ARIA attributes, and keyboard navigation. Experience using profiling tools to analyze and optimize application performance like Graphite, Grafana, and Prometheus
Working knowledge with cache management, content delivery, and application security at the edge using CDNs like Fastly or CloudFront
Exposure and fluency working with data modeling in relational databases (e.g. PostgreSQL and MySQL) or NoSQL (e.g. MongoDB and DynamoDB)
Experience securing large applications against SQL injection, XSS, CSRF and other exploits
Established in practice using Terraform or other infrastructure-as-code tools
Highly effective with GraphDB such as Neo4j, AWS Neptune etc
Experience leveraging AI tools like Claude, Codex etc in an appropriate fashion in the SDLC