Software Engineer

3 days ago

🗽 New York – Remote

Although this job is listed in New York, this company may be open to hiring remote in other states.

⏰ Full Time

🟢 Junior

🧑‍💻 Full-stack Engineer

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Dstillery

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Artificial Intelligence • Advertising • Data Science

Dstillery is a leading AI ad targeting company that specializes in providing data-driven custom audiences to connect brands with their target consumers. Their innovative ID-free targeting technology enables programmatic ad campaigns to scale while maintaining web privacy. By leveraging AI and machine learning, Dstillery delivers predictive audience targeting without the use of cookies or IDs. They offer solutions for connected TV (CTV) and have tools like the Audience Brief Genius that streamline the audience selection process. Dstillery's services are used by many Fortune 100 companies, and they have received multiple awards for their advancements in AI and data science.

51 - 200 employees

Founded 2012

🤖 Artificial Intelligence

📋 Description

• Participate in requirements analysis, design, development, testing, and deployment. • Break down complex problems into well-designed, maintainable solutions. • Collaborate closely with engineers, product managers, and operations teams. • Develop distributed microservices that are reliable, scalable, and performant. • Ensure high availability and reliability of applications and services. • Use Agile methodologies to deliver features on time and with high quality.

🎯 Requirements

• Bachelor’s degree in Computer Science or related technical field (or equivalent experience). • 1–5 years of professional software development experience. • Proficiency in Java and Spring Boot; experience working on production systems. • Experience with relational databases. • (Bonus) Some familiarity with distributed systems and microservice architectures. • (Bonus) Experience operating in hybrid environments (on-prem + public cloud such as GCP or AWS). • (Bonus) Experience with Docker and containerization. • You are interested in working with the following technologies: Java for applications, Python for ETL, Apache Kafka, MySQL, Spark, Hive, Apache Airflow, Terraform, Google Cloud Platform (GCP) solutions such as Compute Engine, Cloud Storage, Cloud SQL, Google Kubernetes Engine, BigQuery, Dataflow and Cloud Run.