Deloitte
United States
New
Agentic AI Engineer â Healthcare AI
- AI
- Assembly
- Cloud
- Hipaa
T
Senior Software Engineer, Distributed Systems
Visa Sponsorship
AI Summary
Join the core engineering team building and scaling distributed systems behind a data activation platform. Analyze and optimize data syncing pipelines, build real-time capabilities, and extend multi-region infrastructure. Requires 7+ years of software engineering experience with distributed systems, Kafka, SQL, Kubernetes, and Docker.
Key Highlights
Remote role with a primary location in the United States
7+ years of software engineering experience
Distributed systems and backend engineering focus
Kafka, SQL databases, Kubernetes, and Docker
Visa sponsorship available
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Key Responsibilities
Analyze and optimize the syncing pipeline to move large volumes of data to customer destinations more quickly.
Build toward real-time syncing and support streaming data sources such as webhooks and queues.
Identify scaling and reliability bottlenecks, then design systems to support substantial growth.
Develop low-latency caching capabilities on top of data warehouses for real-time personalization use cases.
Extend multi-region and multi-cloud infrastructure to support global availability and data residency needs.
Own projects from design through delivery and work directly with customers on complex scaling challenges.
Technical Skills Required
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Benefits & Perks
Visa sponsorship
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Nice to Have
Experience moving very large data volumes, ideally at terabyte-per-day scale
Familiarity with infrastructure-level tools such as Spark, Flink, or Kafka
Job Description
About the Role
Join the core engineering team building and scaling the distributed systems behind a data activation platform. You will improve the systems that move customer data reliably and quickly, supporting a global customer base and a growing set of real-time use cases.
What You'll Do
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