Apache Flink Engineer

Tasks

Apache Flink Engineer

Location: London

6months Contract

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

Role overview

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.

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

Skills and experience

Essential

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.

Desirable

Experience with Amazon Managed Service for Apache Flink and/or running Flink on EKS/ECS.

Experience with MongoDB or MongoDB Atlas for low-latency online-serving use cases.

Infrastructure-as-code (CloudFormation) and modern observability tooling (CloudWatch Grafana OpenTelemetry Splunk).

Indicative technology stack

Java Python

Apache Flink; Kafka / AWS MSK

AWS: IAM VPC S3 CloudWatch; plus a Flink runtime (managed service and/or EKS/ECS depending on solution)

MongoDB / MongoDB Atlas (online store)

CircleCI and IaC: GitHub; CloudFormation