Senior Software Engineer

Upwave

4h•Remote

About The Position

As a Senior Software Engineer at Upwave, you’ll be a full-stack problem solver with a backend focus—building the APIs, data pipelines, and systems that power our brand measurement platform. Your work will process billions of ad impressions, manage complex data workflows, and deliver insights that inform marketing decisions for the world’s biggest brands. You’ll collaborate across engineering, product, and data science to ship high-impact features end-to-end, scale our platform for the next phase of growth, and help define the next generation of brand measurement.

Requirements

Experienced engineer (5+ years) who thrives on solving complex problems across APIs, data systems, and distributed infrastructure.
Cares about clean architecture, reliable systems, and measurable customer impact.
Built powerful, intuitive, API-driven products for professional users.
Comfortable across the stack, with experience in RDBMS-backed backends using Spring Boot, Django, Rails, or Express, and single-page frontends built in React, Vue, or Angular.
Understands and enjoys programming.
Fluent in the modern landscape of UI frameworks, API and microservice architectures, databases, and cloud platforms—and knows when to use the right tool for the job.
Embraces modern AI-powered development tools to move faster and code smarter. Uses technologies like Claude Code, Cursor, and GitHub CoPilot to automate routine work, explore ideas quickly, and focus time on higher-value system design and innovation.
Values structured software development practices—testing, documentation, CI/CD, and code review—and cares about building maintainable systems that scale.
Believes developers should operate what they build. Thinks about observability, cost, and reliability from day one, and designs systems that are easy to deploy and maintain.
Has built in the cloud and knows both its power and pitfalls.
Likes turning ideas into tools that make real customers more effective.
Collaborates closely with Product to design features that solve real-world problems and delight users.
Mentors others, shares knowledge freely, and understands that healthy human systems are the foundation of healthy technical systems. Teammates look to you for guidance.
Wants to understand how things work and why. Cares more about the best idea winning than whose idea it is.
Takes responsibility, moves quickly to fix problems, and takes pride in establishing areas of deep expertise in a fast-changing environment.
Believes high-trust, inclusive teams outperform individuals. Communicates clearly and compassionately, and contributes to a culture where people enjoy working together.

Nice To Haves

Worked with modern backend ecosystems like Java/Kotlin/Groovy (Spring Boot or Grails) and know how to design APIs that scale elegantly.
Fluent with data systems such as MySQL, DynamoDB, and Presto, and understand the tradeoffs between relational and NoSQL storage.
Built cloud-native applications on AWS, especially using Kubernetes and Terraform for automation and scalability.
Know your way around modern front-end frameworks like React/Redux and enjoy collaborating up and down the stack.
Startup DNA—comfortable with ambiguity, iterate fast, and make pragmatic technical decisions.
Experience from AdTech, MarTech, or measurement platforms, or are excited to learn how AI and large-scale data intersect in this space.

Responsibilities

Build AI-powered customer experiences — integrate LLMs and advanced causal inference techniques into production workflows that automatically generate data visualizations, synthesize campaign performance into natural language insights, and help enterprise customers understand and optimize their advertising through our AI analyst "Bayes."
Design and build scalable backend systems — develop microservices and RESTful APIs that power the analytics platform behind the world’s top brand campaigns.
Contribute across the stack — work from backend APIs to Python analytics services to React frontends, delivering complete features that combine sophisticated data analysis with intuitive user experiences.
Engineer data pipelines at scale — design and operate systems that process massive volumes of ad and survey data with MySQL, DynamoDB, and AWS (S3, Lambda, EMR, Kinesis Firehose).
Improve reliability and performance — deploy services on Kubernetes and AWS, automate deployments via CI/CD, monitor with DataDog and Sentry, and continuously raise the bar for operational excellence
Collaborate deeply — work closely with Product and Data Science to productionize statistical models, integrate advanced analytics into customer-facing tools, and bring cutting-edge AI capabilities to enterprise customers.
Deliver insights that move millions — enable brand lift analytics and real-time campaign insights by building reliable, high-throughput systems. Multi-million dollar advertising decisions hinge on our recommendations.