EDF Production Support

Toronto, ON
On-site
Posted Oct 24, 2026
1 position

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Experience level: Mid-level · 2+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Entry level
Application method: Direct apply is available

Job summary

Provide Tier 1 and Tier 2 production support for Confluent Kafka streaming platforms, including incident resolution, root cause analysis, cluster maintenance, and monitoring pipeline health. Support deployments and configuration changes, troubleshoot producer and consumer applications, and collaborate with engineering teams to onboard pipelines and maintain reliable data flows.

Job details

As an EDF (Enterprise Data Framework / Event Delivery Framework) Production Support Specialist, you will join the Enterprise Event Streaming team responsible for supporting, monitoring, and maintaining high-throughput, mission-critical streaming architectures. In this role, you will play a key part in maintaining the health and resilience of the event-driven infrastructure, ensuring high availability, performance, and operational consistency across Enterprise Event Streaming pipelines powered by Confluent Kafka. Key Responsibilities Production Support & Incident Management: Provide Tier 1 / Tier 2 production support for enterprise event streaming platforms, including real-time incident diagnosis, resolution, and root cause analysis (RCA). Kafka Operations & Maintenance: Monitor, troubleshoot, and optimize Confluent Kafka clusters, brokers, schemas, producers, and consumer applications across distributed environments. Consumer & Producer Troubleshooting: Assist application teams with configuring, debugging, and optimizing Kafka Consumers and Producers, ensuring standard delivery patterns and robust error-handling mechanisms (e.g., dead-letter queues, retry topics). Platform Monitoring & Reliability: Monitor pipeline latency, consumer lag, cluster throughput, and system health using enterprise observability and alerting tools (e.g., Grafana, Prometheus, Datadog, Splunk). Change Management & Deployment: Support release management, application deployments, configuration updates, and infrastructure upgrades across production and non-production environments following ITIL/Agile processes. Collaboration & Onboarding: Work closely with engineering and development teams to onboard new data pipelines, establish operational best practices, and maintain reliable data flow across business units. Key Qualifications Experience: 2+ years of experience in production support, or focused on enterprise data streaming platforms. Event Streaming Expertise: Hands-on experience with the Confluent Kafka ecosystem, including Kafka Brokers, Schema Registry, Kafka Connect, and Kafka Streams. Kafka Producers & Consumers: Deep understanding of Kafka Producer and Consumer architecture, offset management, partitioning strategies, serialization/deserialization (Avro, JSON, Protobuf), and delivery guarantees. Monitoring & Observability: Strong experience leveraging observability stacks to track consumer lag, identify bottleneck issues, and detect broker anomalies. Scripting & Automation: Proficiency in shell scripting (Bash) and Python (or Java/Scala) to automate routine support tasks, health checks, and monitoring scripts. Operating Systems & Infrastructure: Solid background in Linux/Unix environments, network troubleshooting, and enterprise security standards (SSL/TLS, SASL, Kerberos).

What you’ll do

Requirements

Requires at least two years of production support or enterprise data streaming experience, with hands-on knowledge of Confluent Kafka components and producer and consumer architecture. Candidates should have observability, scripting, Linux/Unix, network troubleshooting, and enterprise security experience, including SSL/TLS, SASL, or Kerberos.