Upwave
Senior Software Engineer
at
Upwave
Upwave : Brand Outcomes Measurement Platform. Upwave is a leading measurement company focused on measuring and optimizing upper funnel campaigns. Our AI‑driven platform delivers brand lift, reach validation, and optimization insights for CTV, digital, social, linear, addressable, retail media, streaming audio, and more. We are profitable, growth‑stage, and backed by top venture investors.
What you will do:
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 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.
About you:
Experienced engineer (5+ years) who thrives on solving complex problems across APIs, data systems, and distributed infrastructure. You care 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.
Fluent in modern UI frameworks, API and microservice architectures, databases, and cloud platforms—and know when to use the right tool for the job.
Embrace modern AI‑powered development tools to move faster and code smarter. You use technologies like Claude Code, Cursor, and GitHub Copilot to automate routine work, explore ideas quickly, and focus your time on higher‑value system design and innovation.
Value structured software development practices—testing, documentation, CI/CD, and code review—and care about building maintainable systems that scale.
Think about observability, cost, and reliability from day one, and design systems that are easy to deploy and maintain. Built in the cloud and know both its power and pitfalls.
Collaborate closely with Product to design features that solve real‑world problems and delight users.
Mentor others, share knowledge freely, and understand that healthy human systems are the foundation of healthy technical systems.
Take responsibility, move quickly to fix problems, and take pride in establishing areas of deep expertise in a fast‑changing environment.
Believe high‑trust, inclusive teams outperform individuals. Communicate clearly and compassionately, and contribute to a culture where people enjoy working together.
Bonus points:
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.
Have startup DNA—comfortable with ambiguity, iterate fast, and make pragmatic technical decisions.
Experience in AdTech, MarTech, or measurement platforms, or are excited to learn how AI and large‑scale data intersect in this space.
Why You’ll Like Working Here:
Engineering‑first company: High‑velocity innovation with reasonable hours and genuine vacation culture.
Modern tech stack: Python analytics, Kotlin/Java APIs, event streaming, DynamoDB, Kubernetes, AWS, Terraform, LLM orchestration.
Impact at scale: Your code processes billions of advertising events and directly influences multi‑million dollar decisions by Fortune 500 brands.
Autonomy and ownership: Engineers lead projects from design through deployment and monitoring.
Ambitious but humble culture: We collaborate hard and support each other generously.
Remote‑first team: Flexible work arrangement across the globe with synchronous core hours.
Additional Information: The annual base salary range for this role is $150,000 – $175,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors.
Upwave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr
at
Upwave
Upwave : Brand Outcomes Measurement Platform. Upwave is a leading measurement company focused on measuring and optimizing upper funnel campaigns. Our AI‑driven platform delivers brand lift, reach validation, and optimization insights for CTV, digital, social, linear, addressable, retail media, streaming audio, and more. We are profitable, growth‑stage, and backed by top venture investors.
What you will do:
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 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.
About you:
Experienced engineer (5+ years) who thrives on solving complex problems across APIs, data systems, and distributed infrastructure. You care 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.
Fluent in modern UI frameworks, API and microservice architectures, databases, and cloud platforms—and know when to use the right tool for the job.
Embrace modern AI‑powered development tools to move faster and code smarter. You use technologies like Claude Code, Cursor, and GitHub Copilot to automate routine work, explore ideas quickly, and focus your time on higher‑value system design and innovation.
Value structured software development practices—testing, documentation, CI/CD, and code review—and care about building maintainable systems that scale.
Think about observability, cost, and reliability from day one, and design systems that are easy to deploy and maintain. Built in the cloud and know both its power and pitfalls.
Collaborate closely with Product to design features that solve real‑world problems and delight users.
Mentor others, share knowledge freely, and understand that healthy human systems are the foundation of healthy technical systems.
Take responsibility, move quickly to fix problems, and take pride in establishing areas of deep expertise in a fast‑changing environment.
Believe high‑trust, inclusive teams outperform individuals. Communicate clearly and compassionately, and contribute to a culture where people enjoy working together.
Bonus points:
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.
Have startup DNA—comfortable with ambiguity, iterate fast, and make pragmatic technical decisions.
Experience in AdTech, MarTech, or measurement platforms, or are excited to learn how AI and large‑scale data intersect in this space.
Why You’ll Like Working Here:
Engineering‑first company: High‑velocity innovation with reasonable hours and genuine vacation culture.
Modern tech stack: Python analytics, Kotlin/Java APIs, event streaming, DynamoDB, Kubernetes, AWS, Terraform, LLM orchestration.
Impact at scale: Your code processes billions of advertising events and directly influences multi‑million dollar decisions by Fortune 500 brands.
Autonomy and ownership: Engineers lead projects from design through deployment and monitoring.
Ambitious but humble culture: We collaborate hard and support each other generously.
Remote‑first team: Flexible work arrangement across the globe with synchronous core hours.
Additional Information: The annual base salary range for this role is $150,000 – $175,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors.
Upwave is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
#J-18808-Ljbffr