Senior Backend Engineer
Senior Backend Engineer
Posted 7 days ago
SENIORITY
Senior
About the role
- Ad Server: Real-time placement optimization and bidding logic serving millions of requests
- Infrastructure at Scale: PostgreSQL optimization, Redis caching, AWS ECS orchestration
- Platform Integrations: Connecting with major e-commerce platforms (Shopify and others) and ad networks
- Analytics Engine: Time-series data processing with multi-dimensional revenue reporting
- Data Pipelines: ETL workflows feeding our analytics and optimization systems
- Our Tech Stack
- Backend: KeystoneJS 6, Node.js, PostgreSQL 16, Redis, Prisma ORMInfrastructure: AWS ECS, Terraform, Docker, Application Load Balancer
- Data: Snowflake, n8n automation workflows
- Tooling: Yarn Workspaces, Jest, SentryAI-forward: AI is used across development, automation, and product
- Build core systems
- Architect and implement ad-serving infrastructure for real-time bidding
- Design high-performance APIs with strict latency and throughput requirements
- Build revenue tracking and analytics systems
- Own complex backend problems
- Manage database migrations, query optimization, and caching strategies
- Implement third-party integrations with e-commerce and ad-tech partners
- Build internal tools and automation workflows
- Data-driven development
- Optimize PostgreSQL query plans and indexing strategies
- Design caching layers and data access patterns for high-throughput workloads
- Implement A/B testing infrastructure for ad placement optimization
- Cross-functional impact
- Work directly with founders and product team
- Shape technical architecture and engineering practices
- Mentor junior developers and contractors
- Who We're Looking ForRequired 5+ years of backend development experience, preferably Node.js or TypeScriptStrong PostgreSQL knowledge, including query optimization, indexing, and migrations
- Production experience with cloud infrastructure, ideally AWSAPI design experience including REST, webhooks, and third-party integrations
- Ownership mindset, you identify problems and solve them
- What we value
- Sense of urgency, you ship fast without cutting corners
- Adaptability, you thrive when priorities shiftAI-forward mindset, you actively use AI tools in your workflow
- Strong opinions, loosely held
- Systems thinking across databases, caches, queues, and services
- Ad-tech experience such as RTB, DSPs, attribution, or affiliate marketing
- Data engineering experience including ETL pipelines or Snowflake
- Experience with our stack: KeystoneJS, Prisma, PostgreSQL, AWS ECSWhy Join Falcon?
- Financial upside
- Competitive salary and meaningful equity
- Early-stage company with real traction
- Technical growth
- Complex problems like real-time bidding and multi-tenant analyticsAI-first development culture
- Ownership of major backend systems and architecture
- Direct impact, your work will influence real revenue quickly
- Culture and environment
- Hybrid setup: 2 days in office, 3 days remote
- Small team, high impact, no bureaucracy
- Learning budget for conferences and courses
- Technical founders who understand engineering trade-offs
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
