Senior Streaming Platform Engineer: Real-Time Data & AI

Nice

Seattle (WA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

NiCE is seeking a Senior Streaming Platform Engineer to design and operate enterprise‑scale streaming and cloud data platforms. Based in Atlanta with teams in Salt Lake City and Pune, the role entails building scalable streaming architectures and partnering across engineering groups for real‑time analytics and AI‑driven data solutions.

The candidate should bring hands‑on experience with Kafka, AWS MSK/Kinesis, OpenSearch, and automation via IaC.

Qualifications

  • 6+ years of experience with Kafka administration and distributed streaming systems.
  • Strong AWS cloud services experience (MSK, Kinesis, and related services).
  • Proficient in Linux administration and scripting, Python development.
  • Desire to learn evolving technologies and apply AI-enabled workflows.

Responsibilities

  • Design scalable, fault‑tolerant, and secure streaming architectures.
  • Monitor, troubleshoot, and performance‑tune distributed systems; plan capacity.
  • Implement security controls, automation, and operational best practices.
  • Support integrations with data lakes, Snowflake, analytics platforms, and downstream systems.
  • Automate infrastructure provisioning using Terraform or similar IaC tools.
  • Leverage AI‑assisted development tools to improve productivity and automation.
  • Collaborate with engineering and analytics teams for real‑time data processing.

Skills

Kafka administration
AWS cloud services
Linux administration
Python development
Terraform / IaC
OpenSearch
AI tooling familiarity

Tools

Terraform
Kubernetes
Snowflake

Job description

NiCE is seeking a Senior Streaming Platform Engineer to design and operate enterprise‑scale streaming and cloud data platforms. Based in Atlanta with teams in Salt Lake City and Pune, the role entails building scalable streaming architectures and partnering across engineering groups for real‑time analytics and AI‑driven data solutions.

The candidate should bring hands‑on experience with Kafka, AWS MSK/Kinesis, OpenSearch, and automation via IaC.

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