Weekday AI
FlinkLeader
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“Flink Leader at Weekday AI. Skills: Apache Flink, Java, Leadership, Real-time data processing, Distributed systems. drive the design, development, and delivery of large-scale real-time data processing solutions. architecting next-generation streaming platforms”
What You'll Achieve.
deliver scalable, reliable, and high-performance solutions; enable real-time analytics capabilities for enterprise-scale applications; Ensure system reliability, scalability, performance tuning, and operational efficiency
Industry & Context.
problem-solving; problem-solving skills; root-cause analysis
What They're Looking For.
Must Have
hands-on expertise in Apache Flink and stream processing architectures, Excellent programming experience in Java with understanding of multithreading, concurrency, and distributed systems, Proven experience leading engineering teams and managing large-scale technical programs, knowledge of real-time data processing, event streaming, and microservices architecture, Experience with distributed messaging systems such as Kafka, Understanding of big data ecosystems and cloud-native technologies, Expertise in performance optimization, scalability, and high-availability system design, problem-solving, stakeholder management, and communication skills, Experience working in Agile and fast-paced engineering environments, 8 to 18 years of overall IT experience with significant expertise in data engineering and streaming technologies, Demonstrated experience leading enterprise-scale real-time data platform implementations
Nice to Have
Experience with Spark, Hadoop, or other big data technologies, Exposure to cloud platforms such as AWS, Azure, or GCP, Knowledge of containerization and orchestration tools like Docker and Kubernetes, Experience with CI/CD pipelines and DevOps practices, Familiarity with monitoring and observability tools
What You'll Do.
and delivery of large-scale real-time data processing solutions
architecting next-generation streaming platforms
enabling real-time analytics capabilities for enterprise-scale applications
define technical roadmaps
establish best practices
ensure the successful execution of data engineering projects
Lead the architecture
and optimization of real-time streaming applications using Apache Flink
Design scalable and fault-tolerant distributed systems capable of handling high-volume data streams
Manage and mentor engineering teams
ensuring technical excellence
and continuous learning
Drive end-to-end project delivery including requirement analysis
and production support
Develop robust applications and services using Java and modern backend engineering practices
Implement data processing pipelines
event-driven architectures
and real-time monitoring solutions
Ensure system reliability
and operational efficiency across distributed environments
Establish coding standards
and promote engineering best practices
Lead troubleshooting and root-cause analysis for production issues in streaming and distributed systems
Contribute to technology strategy
innovation initiatives
and continuous platform improvements
and capability development for streaming data engineering teams
How You'll Work.
Team & Collaboration
collaborating closely with cross-functional stakeholders; Collaborate with product managers, architects, DevOps teams, and business stakeholders; ensuring technical excellence, collaboration, and continuous learning
Communication Scope
communication skills
Process & Methodology
managing large-scale technical programs, Drive end-to-end project delivery including requirement analysis, solution design, development, deployment, and production support
Full Job Description
**This role is for one of the Weekday's clients** Min Experience: 8 years Location: United States JobType: full-time We are seeking an experienced and dynamic Flink Leader to drive the design, development, and delivery of large-scale real-time data processing solutions. The ideal candidate will have deep expertise in Apache Flink, strong Java programming skills, and proven leadership experience managing high-performing engineering teams. This role requires a strategic thinker who can lead complex streaming data initiatives while collaborating closely with cross-functional stakeholders to deliver scalable, reliable, and high-performance solutions. As a Flink Leader, you will play a critical role in architecting next-generation streaming platforms and enabling real-time analytics capabilities for enterprise-scale applications. You will mentor engineers, define technical roadmaps, establish best practices, and ensure the successful execution of data engineering projects. **Requirements** ### Key Responsibilities * Lead the architecture, development, and optimization of real-time streaming applications using Apache Flink. * Design scalable and fault-tolerant distributed systems capable of handling high-volume data streams. * Manage and mentor engineering teams, ensuring technical excellence, collaboration, and continuous learning. * Drive end-to-end project delivery including requirement analysis, solution design, development, deployment, and production support. * Collaborate with product managers, architects, DevOps teams, and business stakeholders to define technical solutions aligned with organizational goals. * Develop robust applications and services using Java and modern backend engineering practices. * Implement data processing pipelines, stream analytics, event-driven architectures, and real-time monitoring solutions. * Ensure system reliability, scalability, performance tuning, and operational efficiency across distributed environments. * Establish coding stand
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