Build and maintain scalable backend systems including microservices and RESTful APIs to power a brand measurement platform.
Develop and operate large-scale data pipelines processing billions of ad impressions using AWS services and databases like MySQL and DynamoDB.
Integrate AI-powered features such as LLMs and causal inference to generate insights and data visualizations for enterprise customers.
Collaborate closely with Product and Data Science teams to productionize statistical models and deliver end-to-end features across backend and frontend.
Ensure system reliability and performance through Kubernetes deployment, CI/CD automation, and monitoring with tools like DataDog and Sentry.

Ideal candidates have 5+ years experience building API-driven, scalable backend systems with a focus on clean architecture.
The role requires comfort working across the full stack, including backend APIs, Python analytics, and React frontends.
Applicants should embrace modern AI development tools and structured software practices like testing and CI/CD.
Expect to take ownership from design through deployment, operating and monitoring the systems you build.
The company culture values humility, collaboration, and mentorship, seeking engineers who communicate clearly and support teammates.

Upwave is a profitable, growth-stage AdTech company focused on brand outcomes measurement and optimization.
Backed by top-tier investors including Y Combinator and Initialized Capital, emphasizing strong market validation.
Values an engineering-first culture prioritizing high efficiency, reasonable hours, and no crunch or burnout.
Maintains a diverse, remote-first team spanning multiple time zones with a focus on collaboration and flexibility.
Combines cutting-edge AI and large-scale data analytics to influence multi-million dollar advertising decisions for Fortune 500 clients.

JavaKotlinSpring BootPythonReactMySQL - databaseDynamoDB - databaseAWSKubernetesTerraformCI/CD

Senior Software Engineer

About the role