Open role
Event Driven Software Engineer
- Aggregated by CV-Library
- S1, Sheffield, South Yorkshire
- Contract
- Full Time
- £237,250 - £246,375 Per Day
Job Description
Event Driven SME Software Engineer
Contract: Inside IR35
Location: Sheffield – 2–3 days per week
We’re looking for an experienced Event Driven SME Software Engineer to join a greenfield project building a large-scale, high-throughput platform processing billions of cloud telemetry and log events every day.
You’ll be hands-on with the design and engineering of event-driven data ingestion and streaming capabilities, helping shape the architecture, engineering standards and testing strategy across the platform.
Key Responsibilities
* Build high-volume, event-driven data ingestion pipelines across multiple Cloud Service Providers.
* Design and engineer streaming solutions using Kafka and Flink, with Java-based services and jobs.
* Deploy and operate cloud-based services with a focus on scalability, resilience, security and observability.
* Contribute to technical architecture covering event schemas, partitioning, ordering, state, replay, retention and failure handling.
* Optimise solutions for performance and cost at significant scale.
* Establish mature automated testing across unit, integration, contract, end-to-end and performance testing.
* Work with cloud-native data collection approaches across AWS, Azure and GCP.
* Contribute to CI/CD, infrastructure automation and operational best practices.
Essential Experience
* Proven experience delivering large-scale event-driven systems in production.
* Strong hands-on Kafka experience, including partitioning, consumer groups, ordering, schema evolution, retention and replay.
* Strong hands-on Flink or equivalent stream-processing experience, including stateful processing, checkpoints, back-pressure and delivery semantics.
* Excellent software engineering skills, with strong knowledge of clean code, design patterns, microservices, TDD/BDD and performance engineering.
* Strong cloud engineering experience, ideally AWS.
* Demonstrable experience building robust automated testing strategies and driving a quality-first engineering culture.
* Strong understanding of scalability, performance, bottlenecks and cost optimisation at high volumes.
Desirable
* Multi-cloud telemetry/log collection experience across AWS, Azure and GCP.
* Terraform and Infrastructure as Code.
* Strong CI/CD and automated deployment experience.
* Experience contributing to cloud/application architecture while remaining hands-on technically.
* Observability and SRE practices.
This is a genuinely hands-on SME role for someone who can make architectural decisions, write production-quality code and build platforms that are scalable, resilient, testable and cost-effective
Contract: Inside IR35
Location: Sheffield – 2–3 days per week
We’re looking for an experienced Event Driven SME Software Engineer to join a greenfield project building a large-scale, high-throughput platform processing billions of cloud telemetry and log events every day.
You’ll be hands-on with the design and engineering of event-driven data ingestion and streaming capabilities, helping shape the architecture, engineering standards and testing strategy across the platform.
Key Responsibilities
* Build high-volume, event-driven data ingestion pipelines across multiple Cloud Service Providers.
* Design and engineer streaming solutions using Kafka and Flink, with Java-based services and jobs.
* Deploy and operate cloud-based services with a focus on scalability, resilience, security and observability.
* Contribute to technical architecture covering event schemas, partitioning, ordering, state, replay, retention and failure handling.
* Optimise solutions for performance and cost at significant scale.
* Establish mature automated testing across unit, integration, contract, end-to-end and performance testing.
* Work with cloud-native data collection approaches across AWS, Azure and GCP.
* Contribute to CI/CD, infrastructure automation and operational best practices.
Essential Experience
* Proven experience delivering large-scale event-driven systems in production.
* Strong hands-on Kafka experience, including partitioning, consumer groups, ordering, schema evolution, retention and replay.
* Strong hands-on Flink or equivalent stream-processing experience, including stateful processing, checkpoints, back-pressure and delivery semantics.
* Excellent software engineering skills, with strong knowledge of clean code, design patterns, microservices, TDD/BDD and performance engineering.
* Strong cloud engineering experience, ideally AWS.
* Demonstrable experience building robust automated testing strategies and driving a quality-first engineering culture.
* Strong understanding of scalability, performance, bottlenecks and cost optimisation at high volumes.
Desirable
* Multi-cloud telemetry/log collection experience across AWS, Azure and GCP.
* Terraform and Infrastructure as Code.
* Strong CI/CD and automated deployment experience.
* Experience contributing to cloud/application architecture while remaining hands-on technically.
* Observability and SRE practices.
This is a genuinely hands-on SME role for someone who can make architectural decisions, write production-quality code and build platforms that are scalable, resilient, testable and cost-effective