NICE
SeniorSoftwareEngineer-DataTeam(AWS,Flink,OpenSearch)
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“Senior Software Engineer - Data Team (AWS, Flink, OpenSearch) at NICE. Skills: Streaming platform engineering, Enterprise-scale streaming, Cloud data platforms, Kafka, AWS, OpenSearch, Flink. Administer, optimize, and govern Kafka, AWS MSK, Kinesis, Kafka Connect, and OpenSearch platforms. Design scalable, fault-tolerant, and secure streaming architectures”
What You'll Achieve.
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
Industry & Context.
Troubleshoot
What They're Looking For.
Must Have
6+ years of experience with Kafka administration and distributed streaming systems, AWS cloud services experience (MSK, Kinesis, and related services), OpenSearch, Linux administration and automation/scripting skills, Python development and platform reliability engineering, Desire to learn and implement evolving and new technologies
Nice to Have
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 You'll Do.
and OpenSearch platforms
and secure streaming architectures
and performance-tune distributed drive capacity planning
Implement security controls
and operational best practices
Support integrations with data lakes
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
How You'll Work.
Team & Collaboration
Collaborates closely with teams in Salt Lake City and Pune; Collaborate with engineering and analytics teams
Full Job Description
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. 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 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) 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
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