Senior Software Engineer (full-stack)

IthakaAnn Arbor, MI
2dRemote

About The Position

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.

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 Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • medical, dental, and vision plans
  • an employer-paid 10% retirement contribution
  • paid parental and caregiver leave
  • 22 days of paid time off
  • 11 paid holidays
  • up to 12 sick days
  • wellness benefits
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