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Senior Infrastructure Engineer (Remote - US) at Jobgether. This position is posted by Jobgether on behalf of . Underdog Fantasy. . We are currently looking for a . Senior Infrastructure Engineer. in the . United States. .. Are you passionate about building scalable infrastructure that powers data-intensive applications? Join a dynamic engineering team where you'll design and implement the backend systems that fuel cutting-edge gaming and analytics experiences. In this role, you’ll focus on building distributed data platforms, enhancing developer workflows, and improving system reliability at scale. Collaborating closely with engineers and data scientists, your work will have a significant impact on system performance, innovation velocity, and the broader product ecosystem.. . Accountabilities:. . Design and maintain distributed systems for storage, compute, and streaming in a cloud-native environment.. . Build tools and automation that improve developer productivity and streamline workflows.. . Develop and support observability solutions including monitoring, alerting, and data quality checks.. . Work closely with engineering and data teams to translate technical requirements into scalable infrastructure.. . Evaluate and integrate emerging technologies into existing systems through an iterative, agile approach.. . Optimize performance, reliability, and security of data pipelines and platform services.. . . 5+ years of experience in cloud-based infrastructure engineering (AWS, GCP, or Azure).. . Strong expertise in containerization and orchestration (Kubernetes, ECS, or Docker).. . Proficient in infrastructure-as-code tools such as Terraform, CDK, or CloudFormation.. . Skilled in programming with TypeScript, Python, or other object-oriented languages (at least 2).. . Deep knowledge of distributed data systems and streaming frameworks like Apache Kafka, Flink, or Kinesis.. . Familiar with networking in private cloud environments and VPC configurations.. . Experience with DevOps practices including CI/CD and observability tooling.. . Ability to collaborate cross-functionally and communicate technical ideas clearly.. . Bonus: Experience with ML platforms (e.g. Databricks, SageMaker, Vertex AI) and a strong interest in sports or sports betting platforms.. . Company Location: United States.