StackAdapt

About StackAdapt

The programmatic platform for smarter advertising

🏢 Tech👥 1001+ employees📅 Founded 2013📍 Yonge-Bay Corridor, Toronto, ON💰 $304.3m4.2
B2BEnterpriseMarketingContentDigital MediaMachine LearningAdvertising

Key Highlights

  • Headquartered in Toronto, ON with 1,000+ employees
  • $304.3 million raised in Series B funding
  • Specializes in native, display, video, and audio ads
  • Partners with Acxiom and Bombora for audience targeting

StackAdapt is a leading multichannel advertising platform headquartered in the Yonge-Bay Corridor of Toronto, ON. With over 1,000 employees, StackAdapt specializes in programmatic advertising solutions, including native, display, video, connected TV, and audio ads. The company has raised $304.3 mill...

🎁 Benefits

StackAdapt offers a comprehensive benefits package that includes a Work From Home Budget, health/dental/vision benefits, and a Lifestyle Spending Acco...

🌟 Culture

StackAdapt fosters a data-driven culture that prioritizes real-time audience targeting and strategic partnerships to enhance its product offerings. Th...

Skills & Technologies

Overview

StackAdapt is hiring a Senior Software Engineer for their User Data team to manage user profiles and optimize data processing. You'll work with technologies like Golang, AWS, and Kubernetes. This position requires significant experience in software engineering.

Job Description

Who you are

You have 5+ years of experience in software engineering, particularly in building scalable systems that handle high volumes of data. Your expertise in Golang allows you to develop efficient and robust applications that meet stringent performance requirements. You understand the intricacies of data processing and are comfortable working with various databases and data ingestion techniques.

Your experience with cloud platforms, especially AWS, equips you with the skills to leverage cloud services for building and deploying applications. You are familiar with container orchestration using Kubernetes, enabling you to manage application deployment and scaling effectively. You have a solid understanding of messaging systems like Kafka, which is crucial for handling real-time data streams.

You thrive in collaborative environments and enjoy working with cross-functional teams, including data scientists and product managers. Your strong problem-solving skills and attention to detail help you navigate complex technical challenges and deliver high-quality solutions. You are passionate about optimizing user experiences through data-driven insights and innovative engineering practices.

Desirable

Experience with ScyllaDB or similar NoSQL databases is a plus, as it enhances your ability to manage large datasets efficiently. Familiarity with machine learning concepts can also be beneficial, given the AI-driven nature of StackAdapt's platform. You are open to learning new technologies and adapting to the evolving landscape of software development.

What you'll do

As a Senior Software Engineer on the User Data team, you will be responsible for managing all aspects of user profiles, from data ingestion to processing and storage. You will design and implement systems that handle millions of requests per second while maintaining a strict SLA of 100ms. Your role will involve collaborating with various teams to provide different representations of user datasets to downstream services, ensuring that data is accessible and actionable.

You will work closely with data scientists to enhance the capabilities of the user segment builder and non-programmatic workflow engine. Your contributions will directly impact the effectiveness of marketing campaigns and user engagement strategies. You will also participate in code reviews, mentor junior engineers, and contribute to the overall improvement of the engineering practices within the team.

What we offer

StackAdapt is a remote-first company, allowing you to work from anywhere in North America. We offer competitive compensation and benefits, including opportunities for professional development and growth. You will be part of a dynamic team that values innovation and collaboration, working on cutting-edge technology that drives measurable results for our clients. Join us in shaping the future of programmatic advertising and marketing through advanced data solutions.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at StackAdapt.

Similar Jobs You Might Like

Based on your interests and this role

StackAdapt

Software Engineering

StackAdapt📍 Canada - Remote

StackAdapt is hiring a Senior Software Engineer for their User Data team to manage user profiles and data processing. You'll work with technologies like Golang, AWS, and Kubernetes. This position requires significant experience in software engineering.

🏠 RemoteSenior
6 months ago
Socket

Data Engineer

Socket📍 United States

Socket is hiring a Senior Data Engineer to build and maintain scalable data infrastructure. You'll work with technologies like PostgreSQL, Kafka, and ClickHouse to handle high-volume data streams. This role requires significant experience in data engineering and pipeline development.

Senior
1 month ago
ClickUp

Data Engineer

ClickUp📍 United States

ClickUp is hiring a Senior Data Engineer to shape and scale their modern data platform. You'll work with AWS serverless technologies, Snowflake, dbt, and Terraform to design reliable data pipelines. This role requires hands-on technical ownership and strategic influence across the data ecosystem.

Senior
3 months ago
Storable

Data Engineer

Storable📍 United States

Storable is seeking a Senior Data Engineer to enhance data quality and manage scalable data pipelines. You'll work with technologies like Apache Airflow and Apache Spark to drive data operations. This role requires significant experience in data engineering and ETL development.

Senior
3d ago
DoubleVerify

Ai Engineer

DoubleVerify📍 United Kingdom - Remote

DoubleVerify is seeking a Staff AI Data Engineer to design and implement AI-driven data systems. You'll work with Python and machine learning techniques to optimize large-scale data systems for marketing intelligence. This role requires strong experience in data engineering and AI applications.

🏠 RemoteStaff
2w ago