Senior Distributed Systems Software Engineer

This is a remote position.

• Design and implement robust data-sync pipelines real-time streaming layers and high-throughput backend services for modern infrastructure at petabyte scale.
  
• Lead architecture of multi-region and multi-cloud sync caching and event collection systems pushing platform boundaries for performance resiliency and compliance.
  
• Drive adoption of cloud-agnostic architectures (AWS GCP Azure) to power global products with strict data residency and disaster recovery requirements.
  
• Optimize low-latency APIs and backend services for observability scalability security and cost-efficiency.
  
• Spearhead migration of monolithic systems to distributed microservices-based deployments (Kubernetes Docker).
  
• Partner with product compliance and data teams to deliver highly available infrastructure supporting hundreds of millions of daily transactions.
  
• Influence the technical roadmap for cutting-edge data streaming CDC and caching solutions (Kafka Flink Debezium Redis DynamoDB)
  
• Champion infrastructure-as-code advanced monitoring and automation using modern tools (Terraform Grafana Prometheus Datadog Jaeger).
  
• Lead incident response postmortem analysis and end-to-end reliability engineering.
  
• Mentor and upskill engineering teammates in distributed systems and data engineering best practices.
  

Requirements

• Deep expertise in distributed systems design and cloud infrastructure (preferably across AWS GCP and Azure).
  
• Hands-on experience building and scaling data pipelines and backend systems at leading tech firms (e.g. Shopify Wealthsimple 1Password or Citadel).
  
• Fluency in Go Python or Java; comfort with SQL and C; proven contributions to performance tuning and systems optimization.
  
• End-to-end understanding of streaming architectures (Kafka Flink Pulsar) real-time syncing and cross-region replication.
  
• Proven ability to architect for data security residency and compliance across international markets.
  
• Demonstrated ownership of API performance engineering and microservices migration at scale (ideally with Kubernetes Docker and Infrastructure as Code).
  
• Track record of reducing compute spend and boosting SLAs through observability-driven engineering.
  
• Contributor to open source and/or personal technical projects in distributed caching data propagation or backend infrastructure.
  
• Strong communication mentorship and cross-team partnership abilities.
  

• Languages: Go Python Java SQL C.
  
• Data Systems: Kafka Flink Debezium PostgreSQL Redis Snowflake DynamoDB.
  
• Infra: AWS GCP Azure Kubernetes Terraform Docker Ansible.
  
• Monitoring: Grafana Prometheus Datadog Jaeger ELK Stack.
  
• APIs: REST gRPC GraphQL WebSocket.
  

• . or higher in Computer Science Engineering or related technical field ideally with a focus on distributed systems and networks.
  
• Experience leading major systems engineering projects with cross-functional impact in fintech commerce SaaS or security.
  

• Build platform-scale infrastructure with visible business impact.
  
• Collaborate with some of the industrys best engineers.
  
• Tackle technical challenges facing massive user bases across North America and globally.
  
• Influence the future of high-scale reliable and secure cloud services.