Senior Software Engineer (Data Platform)

Location: Toronto, Canada

Base salary: CAD $205,000–$240,000 per year

Company

hirify.global provides AI-powered IT management and cybersecurity software for managed service providers and internal IT organizations worldwide.

What you will do

• Design and build backend services, APIs, and distributed platform components for hirify.global products.
• Develop event-driven and asynchronous systems for data ingestion, enrichment, routing, transformation, and delivery.
• Build reusable platform frameworks, service contracts, schemas, and integration patterns for multiple engineering teams.
• Improve performance, scalability, reliability, observability, and operational efficiency in production systems.
• Own services across design, implementation, deployment, production support, incident response, and optimization.
• Collaborate with Product, Infrastructure, Security, AI, and Software Engineering teams while mentoring engineers.

Requirements

• 6+ years of professional software engineering experience with recent hands-on work in backend, platform, or distributed systems.
• Strong programming ability in Java, Go, Python, Scala, Rust, or C++.
• Experience designing production APIs, microservices, backend services, or platform services.
• Experience operating distributed systems and event-driven or messaging platforms such as Kafka, Kinesis, Event Hubs, Pub/Sub, or RabbitMQ.
• Experience with cloud-native production systems on AWS, Azure, or GCP, plus Docker and containerized environments.
• Strong knowledge of concurrency, asynchronous programming, system design, testing, debugging, failure handling, retries, ordering, and distributed state.

Nice to have

• Production experience with Apache Kafka and streaming frameworks such as Flink, Spark Structured Streaming, Kafka Streams, or Apache Beam.
• Experience with Kubernetes, infrastructure as code, CI/CD, distributed caching, queues, or high-performance databases.
• Experience with CDC, event sourcing, high-throughput systems, data-serving infrastructure, or developer-facing platforms.
• Experience supporting machine learning or AI systems, AI/LLM backend services, vector databases, RAG infrastructure, or AI data pipelines.
• Experience mentoring engineers or leading cross-team technical initiatives.

Culture & Benefits

• Work within a high-growth organization focused on innovation, accountability, and results.
• Build greenfield capabilities for a Data & AI Platform used across a global product ecosystem.
• Contribute to systems serving millions of endpoints and thousands of customers.
• Equal employment opportunity is provided to employees and applicants.