Senior Software Engineer - Data Team (AWS, Flink, OpenSearch)

Senior Streaming Platform Engineer

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.

We are seeking a Senior Streaming Platform Engineer (6+ years) with deep expertise in enterprise-scale streaming and cloud data platforms. 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

What We're Looking For

Required:

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

What Success Looks Like

• 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

About NiCE

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.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.