Software Engineer - Data Team AWS

We are seeking a Senior Streaming Platform Engineer (6+ years) with deep expertise in enterprise-scale streaming and cloud data platforms. Based in Atlanta, this role collaborates closely with teams in Salt Lake City and Pune, with reasonable overlapping hours. The ideal candidate brings hands-on experience managing scalable, secure, and highly available streaming ecosystems that support real-time analytics, event-driven architectures, and enterprise data platforms - including exposure to AI-assisted engineering and automation practices.

What You’ll Do

• Administer, optimize, and govern Kafka, AWS MSK, Kinesis, Kafka Connect, and OpenSearch platforms
• Design scalable, fault-tolerant, and secure streaming architectures
• Monitor, troubleshoot, and performance-tune distributed systems; drive capacity planning
• 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 (Claude or equivalent) to improve engineering productivity and platform automation
• Collaborate with engineering and analytics teams to enable real-time data processing and AI-driven data solutions, * Streaming platforms operate with high availability, performance, and reliability at enterprise scale
• Governance, security, and automation practices are consistently applied across the ecosystem
• Engineering teams are unblocked and empowered through well-integrated data pipelines and real-time infrastructure
• AI tooling meaningfully improves operational efficiency and engineering velocity

Required:

• 6+ years of experience with Kafka administration and distributed streaming systems
• Strong AWS cloud services experience (MSK, Kinesis, and related services)

in OpenSearch

• Linux administration and automation/scripting skills
• Python development and platform reliability engineering
• Desire to learn and implement evolving and new technologies *

Preferred:

• Experience with Flink using Spring Boot
• Snowflake integration experience
• Kubernetes orchestration
• Administration knowledge in OpenSearch clusters
• Familiarity with AI-enabled engineering workflows and tools, Amazon Web Services (AWS), Apache Kafka, Artificial Intelligence (AI), Automation, Best Practices, Business Operations, Capacity Management, Cloud Computing, Customer Experience, Customer Relations, Data Management, Data Processing, Distributed Computing, Ecosystems, Financial Transactions, High Availability, Identify Issues, Linux Administration, Machine Tool, Operational Improvement, Operational Strategy, Performance Tuning/Optimization, Productivity Management, Programming Tools, Public Safety, Python Programming/Scripting Language, Reliability Engineering, Scripting (Scripting Languages), Snowflake Schema, Software Engineering

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.