Key Responsibilities

● Design, build, and maintain highly scalable distributed systems and backend services.

● Develop and improve systems responsible for syncing large volumes of customer data.

● Optimize data-processing performance, reliability, throughput, and latency.

● Design systems that support batch and real-time data synchronization.

● Build and scale event collection, streaming, and messaging services.

● Identify and resolve bottlenecks as systems grow by multiple orders of magnitude.

● Contribute to multi-cloud and multi-region backend infrastructure.

● Support systems that serve a global customer base and meet data-residency requirements.

● Work closely with customers and internal engineering teams to solve challenging scaling problems.

● Own projects end-to-end, from system design and technical planning through implementation and delivery.

● Make sound technical decisions in an environment involving complex and ambiguous engineering challenges.

Required Qualifications

● 7+ years of professional software engineering experience.

● Strong background in backend engineering and distributed systems.

● Excellent understanding of system design fundamentals and large-scale distributed architectures.

● Experience building complex backend systems from scratch rather than only integrating pre-built components.





● Experience designing or developing event-collection or data-streaming systems used in business-critical environments.

● Hands-on experience with technologies such as:

● Message queues and event-driven systems.

● Apache Kafka or similar streaming platforms.

● SQL and other database technologies.

● Kubernetes.

● Docker.

● Proven experience owning systems that have undergone significant growth and scaling them successfully.

● Strong programming and software architecture skills.

● Excellent communication and collaboration abilities.

● Ability to learn quickly, work independently, and take ownership of ambiguous problems.

● Demonstrated career progression and increasing levels of responsibility.

Preferred Qualifications

● Experience building data-syncing engines that process terabytes of data per day.

● Experience with real-time data systems, webhooks, queues, or streaming sources.

● Experience working close to the infrastructure layer.

● Solid understanding of how technologies such as Kafka, Spark, or Flink work internally.

● Experience with multi-region and multi-cloud architectures.

● Experience working at a high-growth technology company or startup.

● Experience building systems during periods of rapid company and product growth.

● Background in high-talent-density engineering environments.

● Degree in Computer Science or a related field from a strong technical program.

📌 Software Engineer (Canada)
🏢 Digivance Solutions
📍 Canada