Senior Software Developer (Full Stack)

CoHost; United States; Remote; CAD 110,000 - 135,000; Full time

Benefits offered by this job

Full medical and dental benefits

Generous vacation policy (starting at 5+ weeks)

Opportunities for learning and growth

Quarterly team events

Job summary

A tech-driven company is seeking a Senior Backend Software Engineer to design and maintain backend systems for data-intensive products. You will collaborate with teams to build reliable infrastructure and implement AI-powered features. This remote role requires strong AWS experience and managerial skills in production environments. Attractive salary range of CAD 110,000 to 135,000 annually, along with health benefits and a generous vacation policy.

Qualifications

• Strong experience building production features used by customers.
• Deep knowledge of AWS IAM, VPCs, subnets, server architecture.
• Experience scaling systems to handle increasing data volume.

Responsibilities

• Design and maintain backend systems supporting data-heavy applications.
• Build and maintain event pipelines and ETL processes.
• Implement monitoring and logging for production systems.

Skills

Production environment management

AWS products

Backend engineering

Debugging skills

Data-heavy systems

Operational responsibility

Relational and non-relational databases

AI systems

Tools

PostgreSQL

SingleStore

DynamoDB

AWS

Job description

What You’ll Be Working On

As a Senior Backend Software Engineer, you’ll play a critical role in designing and scaling the systems that power CoHost’s most data-intensive and AI-driven products. You’ll work closely with the CTO, product, and data teams to build reliable, cost-efficient, and observable backend infrastructure that supports real customer workflows.

This is a hands‑on role focused on production systems, data pipelines, and AI‑enabled features, not prototypes or demos.

What Your Role Will Encompass

In this role, you will:

• Design, build, and maintain backend systems that support data-heavy, customer-facing products
• Build and maintain event pipelines, rollups, and ETL processes for analytics, attribution, and reporting
• Work with PostgreSQL, SingleStore, and DynamoDB, designing schemas and queries optimized for scale and performance
• Develop systems that power dashboards, metrics, analytics, and tracking used by customers daily
• Build and operate cloud infrastructure on AWS, including networking, IAM, VPCs, queues, workers, and storage
• Make thoughtful trade-offs around cost, reliability, observability, and performance
• Implement monitoring, alerting, and logging to ensure production systems are healthy and debuggable
• Build AI-powered features using LLMs for real workflows such as automation, classification, retrieval, and analysis
• Work with embeddings, retrieval pipelines, and AI-driven automation, knowing when and where AI meaningfully adds leverage
• Collaborate closely with product to translate business goals into scalable technical solutions
• Take ownership of systems end-to-end, from architecture through production support

Databases

• SingleStore
• DynamoDB
• Event-driven architectures
• Rollups, ETL, and analytics pipelines
• AWS (networking, IAM, VPCs, queues, workers, storage)
• Emphasis on cost efficiency, reliability, and observability

AI

• LLM-powered workflows
• Embeddings, retrieval, classification, and automation

Who You Are

Must-Have Experience

• Has managed production environments and understands operational responsibility
• Has built features actively used in production by real customers
• Strong experience building production features on top of AWS products
• Deep, hands-on knowledge of AWS IAM, VPCs, subnets, server architecture, and cloud security
• Experience designing and operating secure, scalable AWS-based systems
• Prior experience scaling systems to support growing data volume, traffic, and customer usage
• Strong backend engineering experience with data-heavy systems
• Experience leveraging cloud infrastructure to solve real business problems, not just deploy services
• Deep understanding of relational and non-relational databases
• Strong debugging skills and comfort level operating systems in production

Nice-to-Haves

• Startup experience
• Experience working on analytics, attribution, or measurement systems
• Prior experience shipping AI-powered features beyond experimentation

How We Work

• We care deeply about reliability, cost awareness, and long-term maintainability
• We build products that customers rely on every day
• We focus on impact, ownership, and clear communication

Location & Timing

• Remote role
• Must be able to work EST hours
• Start date: As soon as possible

Salary Range: $110,000-$135,000 CAD annually depending on experience

• Competitive salary and compensation package
• Full medical and dental benefits
• Generous vacation policy (starting at 5+ weeks)
• Opportunities for learning, growth, and ownership
• Quarterly team events