Remote Data entry Jobs in Chatham-Kent, ON

Job Description

This is a remote position.

Join an advanced engineering team solving mission-critical challenges in distributed systems and large-scale data movement. You’ll help architect and evolve the backbone for platforms serving a diverse global client base, focusing on seamless data synchronization, real-time streaming, and resilient cloud-native infrastructure.

What You'll Do

• Design, implement, and maintain highly scalable, fault-tolerant backend services powering real-time data synchronization and streaming
  

• Optimize systems for latency, throughput, and reliability to support demanding data transfer workflows
  

• Guide architectural decisions around multi-region deployment, disaster recovery, and data residency for customers operating worldwide
  

• Collaborate with both engineering and product stakeholders to deliver practical solutions that directly benefit end users and business needs
  

• Own projects from concept to production—work with internal and external users to understand requirements and troubleshoot real-world scaling problems
  

• Continuously monitor, evaluate, and improve platform automation, observability, and incident response techniques
  

About You

• Experienced in building, scaling, and troubleshooting high-performance distributed systems
  

• Comfortable working across cloud ecosystems (AWS, GCP, Azure) and various database and messaging technologies
  

• Skilled in code and systems optimization—excited to address bottlenecks through analysis, experimentation, and iteration
  

• Able to communicate technical concepts clearly to technical and non-technical audiences alike
  

• Thrive on autonomy and ownership; motivated by delivering high-impact results in a fast-paced, collaborative environment
  

Requirements

Qualifications

• Track record of designing or operating data syncing platforms, streaming event collections, or large-scale backend infrastructure
  

• Familiar with event-driven architectures, real-time APIs, and cloud-native deployment patterns
  

• Competent in at least one backend programming language (e.g. Go, Python, Java) with supporting experience in SQL or related tech
  

• Previous experience supporting a rapidly growing product or service is preferred, but high-impact is valued over years of seniority
  

Why Join

• Direct ownership on projects affecting global customers
  

• Work alongside high-performing peers that value autonomy and growth
  

• Competitive compensation and meaningful equity in a fast-growing platform
  

• Remote-first environment with a strong focus on outcome and impact
  

Requirements
Software Engineer, Distributed Systems, remote, North America, AI platform, marketing, growth, AI agents, LLMs, agentic AI, cloud data warehouses, Snowflake, Databricks, syncing engine, distributed systems, performance optimization, troubleshooting, large scale data, high throughput, multi-cloud, multi-region, scalability, reliability, streaming, streaming syncing, real-time, webhooks, queues, low latency, caching layer, personalization API, data warehouses, real-time personalization