About CoHost
First and foremost, CoHost was born out of a love for podcasts. We’re in the business of understanding and enhancing podcasts—helping brands and professional podcasters understand, grow, and monetize their audiences through data, analytics, and intelligent tooling.
CoHost provides a unified platform spanning hosting, analytics, attribution, and AI-powered insights. We work with leading organizations including Moneris, PwC, SickKids Foundation, and Expedia.
Podcasting continues to grow rapidly, and CoHost is at the forefront of building the infrastructure that powers data-driven audio at scale.
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
- Own production services written in Ruby, Node.js, and JavaScript, with a strong focus on reliability and scalability
- 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
Our Technology Stack
Backend
- Ruby, Node.js, JavaScript
Databases
- PostgreSQL
- SingleStore
- DynamoDB
Data & Pipelines
- Event-driven architectures
- Rollups, ETL, and analytics pipelines
Cloud & Infrastructure
- 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
- Comfortable designing scalable, maintainable backend architectures
- 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 value pragmatism over over-engineering
- 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
Perks & Benefits
- 100% remote work
- 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
How to Apply
Email stacey@quillit.io with your resume and a brief note outlining why you’d be a great fit. We care about what you’ve built—not where you went to school. If you’ve shipped real systems and solved meaningful problems, we’d love to hear from you.
