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About the role
- Apache Flink Engineer developing and operationalizing stream-processing components on AWS for personalization capabilities. Working closely with senior engineers and AWS stakeholders for knowledge transfer and support.
Responsibilities
- Design and implement stateful stream-processing jobs in Apache Flink (primarily Java), to process user interaction events and produce near real-time outputs for downstream services.
- Integrate Flink with Kafka/AWS MSK, S3 and the chosen online store (MongoDB/MongoDB Atlas).
- Own streaming non-functional requirements: correctness, fault tolerance, checkpointing/recovery, backpressure handling, and performance tuning.
- Define and implement production readiness: observability (metrics/logs/tracing), alerting, dashboards and runbooks.
- Support CI/CD and infrastructure-as-code practices to deploy and operate Flink workloads safely in AWS.
- Enable the team via knowledge transfer (pairing, design/code reviews, documentation and handover).
Requirements
- Strong experience building and operating production Apache Flink applications (event-time concepts, windows/watermarks, state, checkpointing and fault tolerance).
- Hands-on AWS experience operating streaming/data workloads (IAM, networking/VPC basics, deployment, observability and incident troubleshooting).
- Experience integrating Flink with Kafka (including AWS MSK) and cloud services/storage (e.g., S3).
- Highly proficient in Java and Python (production experience required).
- Strong software engineering fundamentals: clean, maintainable code; pragmatic testing; effective code review.
- Comfort mentoring/pairing with engineers to up-skill the team.
- Experience with Amazon Managed Service for Apache Flink and/or running Flink on EKS/ECS is desirable.
- Experience with MongoDB or MongoDB Atlas for low-latency, online-serving use cases is desirable.
- Infrastructure-as-code (CloudFormation) and modern observability tooling (CloudWatch, Grafana, OpenTelemetry, Splunk) is desirable.
Job title
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