Sr Flink Architect/Engineer/Platform Support DataStreams API & AKS Expert

Sr Flink Architect/Engineer/Platform Support DataStream's API & AKS Expert

Sr Flink Architect/Engineer/Platform Support DataStream's API & AKS Expert

Overview:

We are seeking a seasoned Flink Engineer with 7+ years of experience in stream processing and backend systems, including 3+ years of hands-on experience implementing Apache Flink using the DataStreams API in production. This role focuses on designing, deploying, and supporting Flink applications on Azure Kubernetes Service (AKS), with end-to-end responsibility for both application logic and infrastructure. Technical Lead role with excellent communication skills required.

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Mandatory Requirements:

3+ years of experience using Apache Flink, specifically the DataStreams API.

Proven delivery of production-grade Flink implementations with documentation or case studies.

Active engagement with at least one current client using Flink (DataStreams API).

Competence in state management (checkpoints and savepoints) with local storage.

Configuration of connectors like EventHub, Kafka, and MongoDB.

Implementation of Flink API Aggregators.

Handling watermarks for out-of-order events.

Management of state using Azure Data Lake Storage (ADLS).

Set up a private Flink cluster within a designated AKS environment.

Configure both session-based and application-type deployments.

Define and build nodes and slots.

Manage and configure Job/Task Managers.

Establish necessary connectors, e.g., external storage for the Flink Cluster.

Configure heap memory and RocksDB for state management.

Define and set up checkpoints and savepoints for state recovery.

Enable Auto-Pilot capabilities.

Integrate network resources, such as Azure EventHub and external databases like MongoDB.

Implement integration with ArgoCD for job submissions.

Install LTM agents for logging and Dynatrace agents for monitoring purposes.

Provide access to the Flink Dashboard.

Establish High Availability (HA) and Disaster Recovery (DR) configurations.

Excellent Communications

Team Lead Experience

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Core Responsibilities:

Functional:

Build Flink applications using the DataStreams API and process functions.

Manage state (checkpoints, savepoints) using RocksDB and ADLS.

Handle out-of-order events with watermarking and implement aggregators.

Integrate with Kafka, EventHub, and MongoDB.

Infrastructure & Non-Functional:

Set up and manage Flink clusters in AKS with 2+ years experience in Kubernetes-based deployments.

Configure session-based and application deployments.

Optimize memory, RocksDB, and task/job manager parameters.

Implement HA/DR, state recovery, and auto-pilot features.

Integrate with ArgoCD, Dynatrace, and logging agents (e.g., LTM).

Ensure observability via Flink Dashboard and monitoring tools.

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Qualifications:

7+ years in backend or distributed systems engineering.

3+ years with Apache Flink (DataStreams API).

3 5 years working with Kafka, Azure EventHub, or similar streaming platforms.

2+ years of experience deploying and managing applications in AKS or Kubernetes environments.

Proficiency in CI/CD, infrastructure-as-code, and cloud observability tools.

Strong communication and documentation skills.

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Deliverables:

Deployed Flink applications with complete monitoring and logging.

Managed Flink infrastructure with high availability and disaster recovery.

Deployment automation via ArgoCD and full integration with observability stack.

Employers have access to artificial intelligence language tools (AI) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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Dice Id:

10109301

Position Id:

2025-17114