Associate Software Engineer

What you will be doing:

• Build products and tools, using the right language/tool for the job, that drive valuable impact to Ibotta, our customers, or fellow engineers
• Work collaboratively with a highly talented cross-functional team to design, develop and deliver new products and features that will be used by millions of users
• Use Amazon’s AWS infrastructure and advanced services daily, including serverless architectures
• Stay abreast of the ever-changing technology landscape to identify the best tools and technologies to design and build flexible, scalable, reliable and high-performing applications
• Maintain an agile, experimental and iterative approach, with a willingness to learn fast in a constantly evolving and uncertain environment
• Decompose business problems and requirements into manageable sub-tasks
• Know how to judiciously leverage AI to assist with software development
• Know when to choose AI as part of the tech stack and how to use it when building products, and operating them in production
• Use Amazon’s AWS infrastructure and advanced services daily, including serverless architectures
• Leverage and contribute to our CI/CD pipeline to deploy code many times daily
• Write tests and participate in code reviews to ensure that we're shipping high-quality, maintainable code, and develop evaluators to verify the quality of non-deterministic outputs
• Own your technical solutions end-to-end from contributing your ideas, to first code commit, to operating in production
• Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, & A good idea can come from anywhere

What we are looking for:

• 0-1+ years of experience in software development
• Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required
• Fundamental knowledge of object-oriented software design, development and architectural principles
• Knowledge of development best practices including security, compliance, performance, optimization, cost efficiency, etc.
• Knowledge of building highly scalable, observable, and fault tolerant platforms using architectural patterns such as retries, circuit breakers, rate limiters, etc on top of horizontally scalable systems
• Ability to apply core computer science concepts to iterative system design
• Working knowledge of using AI tools for prototyping, writing, testing, debugging, and comprehending code, and the ability to critically review and improve AI-generated code to meet production standards
• Familiarity with context engineering and AI building blocks such as LLM API calls, prompting techniques, agentic frameworks, RAG, vector databases, and model fine-tuning
• Some experience with debugging and testing approaches, and frameworks from unit testing to automated testing and evaluation driven development
• Familiarity with building, deploying and operating automated workflows and agents, using platforms such as n8n, Databricks or similar
• Some experience with relevant technologies such as Typescript, Ruby on Rails, Java, Kotin, Nodejs, Vue, Swift, etc, and data stores such as MySQL, DynamoDB, Redis, etc. is valuable, but knowing when to use each is far more important
• Knowledge of implementing observability, monitoring and alerting for services and establishing SLOs for services.