Apache Flink Engineer

Tasks

Apache Flink Engineer

Location:
London

6months Contract

We are hiring an experienced Apache Flink Engineer (contract) to build and help ope rationalise the stream-processing components of a near real-time personalisation and recommender capability on AWS.

You will bring deep hands‑on expertise in production Flink on AWS, working closely with a senior FT engineer and AWS stakeholders. A key part of the role is knowledge transfer through pairing, reviews and clear documentation so the capability can be supported and extended by FT.

• 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 (Mongo
  
  DB/Mongo
  
  DB Atlas).
• Own streaming non‑functional requirements: correctness, fault tolerance, checkpointing/recovery, back pressure 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).

• 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.
• Experience with Mongo
  
  DB or Mongo
  
  DB Atlas for low‑latency, online‑serving use cases.
• Infrastructure‑as‑code (Cloud Formation) and modern observability tooling (Cloud Watch, Grafana, Open Telemetry, Splunk).

• Java, Python
• Apache Flink;
  Kafka / AWS MSK
• AWS: IAM, VPC, S3, Cloud Watch; plus a Flink runtime (managed service and/or EKS/ECS depending on solution)
• Mongo
  
  DB / Mongo
  
  DB Atlas (online store)
• Circle
  
  CI and IaC:
  Git Hub;
  Cloud Formation