Job Title: Senior Flink Architect/Engineer - DataStreams API & AKS Expert Job Type: Contract

Duration: Months contract

Location: Fort Worth, TX

Hybrid role - days onsite/week

Overview:

We are seeking a seasoned Flink Engineer with + years of experience in stream processing and backend systems, including + 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.

Mandatory Requirements:

• + 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, , 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

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 + 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 (, LTM).

• Ensure observability via Flink Dashboard and monitoring tools.

Qualifications:

• + years in backend or distributed systems engineering.

• + years with Apache Flink (DataStreams API).

• – years working with Kafka, Azure EventHub, or similar streaming platforms.

• + 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.

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.

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