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Salary: USD 180,000 - 260,000 / annual
Scowtt is an early-stage startup building AI/ML-powered marketing optimization and autonomous sales experiences. The company integrates CRM, web signals, and product interaction data into real-time systems to help businesses convert leads into customers.
You will join as a Senior/Staff Software Engineer on the Data Platform team, owning backend and data systems end-to-end. This is a hands-on role with significant technical scope: you'll design and build scalable data pipelines ingesting from CRM, web, advertising, and product platforms; integrate with data warehouses (BigQuery, Snowflake, Databricks, Redshift); develop backend APIs and services in Python and TypeScript; build curated datasets for ML systems and analytics; and solve systemic problems around data quality, schema evolution, scalability, and reliability.
Key responsibilities include:
- Own backend and data systems from architecture through production operation and scale
- Design reliable ingestion patterns across APIs, cloud storage, databases, and event-driven systems
- Build systems for large historical backfills and low-latency incremental processing
- Develop backend APIs and internal applications
- Work across GCP and AWS, making pragmatic architecture decisions
- Mentor other engineers and help define engineering standards as the platform scales
- Ensure security best practices around data handling, authentication, and compliance
This is a startup environment where you'll work across the stack and occasionally contribute to frontend when needed to ship complete product experiences. You'll help define architecture and reusable patterns as the company scales.
QUALIFICATIONS
Must Have:
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
- 7+ years building production software systems
- Strong hands-on experience with Python and TypeScript/Node.js
- Significant experience designing and operating backend services and production data pipelines
- Strong SQL skills and experience with large datasets and analytical databases
- Experience building and operating systems in GCP and/or AWS
- Demonstrated ability to independently own complex systems from design through production
- Strong problem-solving skills and ability to move quickly in ambiguous environments
Should Have:
- Experience with modern data warehouses (BigQuery, Redshift)
- Experience building ingestion frameworks across APIs, databases, object storage, and event-driven systems
- Strong understanding of distributed systems, data modeling, idempotency, retries, concurrency, and failure recovery
- Experience building curated datasets and data infrastructure for ML and analytics
- Experience designing production APIs and backend services at scale
- Experience with cloud services (GCS, S3, Cloud Run, Lambda, SQS/PubSub, Postgres/RDS)
- Strong understanding of monitoring, observability, automated testing, and production operations
- Proven ability to influence technical direction through architecture and execution
Nice to Have:
- Experience integrating with CRM and marketing platforms (Salesforce, HubSpot, Google Ads, Meta)
- Experience building multi-tenant SaaS platforms
- Familiarity with ML training, feature generation, inference, and model-serving workflows
- Experience with React or Next.js
- Experience with Terraform or Infrastructure as Code
- Familiarity with ad-tech, mar-tech, sales-tech, or CRM ecosystems
- Experience building developer platforms or data onboarding frameworks
