iSpot is looking to solve complex challenges in high-volume data processing, cloud infrastructure, and data security to improve the scalability, reliability, and performance of their data measurement platform, and to create solutions that push the boundaries of ad measurement.
Requirements
- Minimum of 12 years of experience in software engineering, with a strong focus on cloud infrastructure, data architecture, and large-scale data processing.
- Proven experience designing and scaling complex data-driven systems, ideally in ad tech, media, or high-volume data environments.
- Deep expertise in cloud platforms (AWS, GCP, or Azure) and cloud-native architectures.
- Strong programming skills in languages such as Python, Java, or Scala, and a solid understanding of distributed computing frameworks (e.g., Spark, Flink, Kafka).
- Experience with modern data storage solutions (e.g., Snowflake, BigQuery) and building real-time analytics pipelines.
- Familiarity with ad tech ecosystems, including SSPs, DSPs, and data sharing with clean rooms.
Responsibilities
- Define and implement a forward-looking technical vision for iSpot’s measurement and data processing platform, ensuring scalability, reliability, and high performance.
- Lead the design of core architecture to support real-time data ingestion, large-scale analytics, and seamless integration with partner ecosystems.
- Identify and address complex technical challenges in high-volume data processing, cloud infrastructure, and data security, bringing innovative solutions to improve the platform.
- Drive experimentation and adoption of new technologies that enhance product capabilities and meet evolving market demands.
- Serve as a mentor and role model, guiding engineers in best practices for coding, design, and architecture.
- Provide thought leadership and technical guidance across engineering teams, fostering an environment of continuous learning and improvement.
- Work closely with data science team to enhance methodology, data accuracy, and real-time processing capabilities.
Other
- Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
- Track record of mentorship and ability to influence teams, with strong interpersonal and communication skills.
- Collaborate closely with engineering, data science, product, and leadership teams.
- Collaborate with product management to shape user-centric solutions, ensuring the platform’s architecture can adapt to customer needs and industry trends.
- Engage with security and compliance teams to embed security practices into product and infrastructure design, maintaining the highest standards for data privacy and regulatory compliance.
