> Markdown version of [/jobs/ext/3361390-software-engineer-sem-infrastructure](https://www.wearedevelopers.com/jobs/ext/3361390-software-engineer-sem-infrastructure). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, SEM Infrastructure - **Company:** TEMU INC. - **Location:** United States - **Experience:** Experienced - **Salary:** $100,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Google AdWords, Amazon Web Services, Microsoft Azure, Big Data, Bing Ads, C++ (Programming Language), Cloud Computing, Software Quality, Databases, Distributed Systems, Apache Hadoop, Apache Hive, Python (Programming Language), NoSQL, Software Engineering, SQL Databases, Systems Integration, Google Cloud, Apache Spark, Backend, Containerization, Kubernetes, Information Technology, Apache Flink, Data Pipelines, Docker, Golang - **Published:** September 30, 2026 - **Apply:** https://www.dice.com/job-detail/e3e6b76e-89df-48a4-91b6-de4311efed15 ## About the Role 1. Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.\\n 2. 2+ years of software engineering experience, preferably building large-scale backend systems or data pipelines.\\n 3. Strong proficiency in at least one backend programming language (e.g., Java, C++, Go, or Python).\\n 4. Solid understanding of system design, distributed systems, and database architecture (SQL and NoSQL).\\n 5. Detail-oriented with strong problem-solving abilities and a focus on code quality.\\n 6. Excellent communication skills and the ability to work collaboratively within a cross-functional team.\\n, 1. Experience with big data frameworks (e.g., Apache Spark, Hive, Hadoop, Flink).\\n 2. Previous experience in AdTech, computational advertising, or integrating with Google Ads/Bing Ads APIs.\\n 3. Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure) and containerization (Docker, Kubernetes).\\n