Tech Lead

  • Closed
  • US Company | Medium ( employees)
  • LATAM (100% remote)
  • 7+ years
  • Long-term (40h)
  • Pet Health
  • Full Remote

Required skills

  • Python
  • Serverless
  • AWS Lambda
  • PostgreSQL

Requirements

Must-haves

  • 7+ years of software development experience
  • 2+ years of experience in a technical lead role, including providing direction and overseeing the work of a small development team
  • Strong experience in data systems, integrations, and cloud architecture
  • Experience with Python for back-end and data development
  • Experience with serverless development using AWS Lambda
  • Experience with AWS services (e.g. Lambda, RDS, SNS, SQS, EventBridge)
  • Experience with SQL querying and complex query performance tuning, including PostgreSQL and MS SQL
  • Experience designing and managing workflow orchestration with Apache Airflow or similar tools
  • Proficiency with data modeling and query performance optimization
  • Ability to lead and mentor engineering teams
  • Deep knowledge of cloud architectures for data systems and integrations
  • Strong communication skills in both spoken and written English

Nice-to-haves

  • Startup experience
  • Experience working with large-scale data integration ecosystems
  • Familiarity with additional AWS analytics or data engineering tools
  • Bachelor’s Degree in Computer Engineering, Computer Science, or equivalent

What you will work on

  • Develop and architect data integrations and ETL pipelines for a high-volume, cloud-based environment
  • Design and maintain scalable serverless solutions for data processing and system integrity
  • Write and review code for integrations with external vendors and data providers
  • Lead and mentor a small team of engineers, guiding technical decisions and overall execution
  • Conduct code reviews and uphold quality, security, and performance standards
  • Support team members in strengthening technical skills and delivering high-quality work
  • Improve the reliability, performance, and observability of data pipeline infrastructure
  • Diagnose and resolve complex production issues in mission-critical environments