We are an audience intelligence company, delivering curated data and analytics for the modern media & marketing landscape. Our technology stack leverages AI & ML to organize and analyze billions of consumer data points from across the major social & video platforms daily. This powerful data set augments predictive models, advanced analytics, and content strategy efforts.
What you will be doing:
-Own substantial portions of the technical platform such as the web application, API server or data pipeline. This will include planning, development, deployment and operational support
-Participate in the design, development, unit tests and implementation of distributed applications and microservices
-Communicate estimates, designs and work plans to team and work collaboratively to come up with the best solution considering given constraints
-Build and maintain solutions conformant to enterprise standards, architecture and technologies
-Utilize GenAI platforms and capabilities such as semantic search, prompt & tooling library, workflow management & orchestration, LLM gateway, real-time/proactive response generation
What you need:
-5+ years proven experience in backend/data in fast-paced, high-performance environments, working as a software engineer / developer
-Experience designing for scalability and performance, creating benchmark tests and designing or integrating large-scale systems
-Experience designing and developing interface contracts between applications, services, external vendors and workflow processes
-Strong foundation in data structures, algorithms, and software engineering principles, with proficiency in languages like Java or Python or Scala
-Work with cloud platforms (e.g., Azure, AWS, GCP) and big data tools (e.g., Databricks, PySpark) to develop AI solutions
-Strong focus on automation & CI/CD and experience in building DevOps pipelines for build; experience with deployment of applications using AWS Cloud Formation/Ansible/Terraform on AWS a plus
-Bachelor's in computer science, engineering, related technical field or related work experience
What's in it for you?
-Opportunity to be among the first engineers at an early stage startup
-Deploy to AWS using Docker containers and Cloud Formation
-Data and machine learning pipeline is built on Spark
-Full healthcare benefits
-Company 401k
-Unlimited PTO
Benefits
-Full healthcare benefits
-Company 401k
-Unlimited PTO