Remote Staff Software Engineer, Backend

Summary

Join our team as a Staff Software Engineer, Backend, to lead backend architecture and design for a high-scale data platform, collaborate with stakeholders, and build up an enterprise-grade ELT stack based on BigQuery.

Requirements

• 10+ years of experience in data engineering, machine learning, and software development, with a strong focus on data platforms, APIs, and ML/AI-driven features and functionalities
• Embody a startup mentality of taking ownership and driving initiatives forward with minimal supervision
• Possess a growth mindset and are self-motivated, tackling challenges with a can-do attitude and focusing on achieving impactful results
• Uphold a high bar by participating in technical discussions, providing feedback on specs, and making recommendations
• Are excited to own new initiatives and take them from 0 to 1
• Ship and own high-impact products end-to-end with high quality
• Are an empathetic person and active listener who loves building solutions to help others
• Have experience in data warehouses and query engines, or classic Big Data technologies: BigQuery, Redshift, Athena, Snowflake, Hadoop and/or Spark

Responsibilities

• Lead backend architecture and design for a high-scale data platform that processes vast amounts of data in real-time, ensuring scalability, performance, and security
• Act as the tech lead of the team, collaborate with product managers, engineering managers and other stakeholders
• Lead mission-critical projects and ship high quality products
• Define and enforce data quality checks and audits for code warehousing datasets
• Have a vision for building a data ecosystem for engineers, analysts and data scientists
• Work in, or be willing to learn, multiple programming languages: API and backend in Go, Data hacking in SQL (BigQuery), and experience with distributed task execution (Temporal, Airflow)
• Build up an enterprise-grade ELT stack based on BigQuery and written in Go. If there's cloud-based billing or usage data out there, we want to ingest and activate it in our platform in the most secure and performant way possible
• Research, evaluate, and apply machine learning and AI models to develop features such as anomaly detection, forecasting, and scenario modeling
• Use the latest Google Cloud functionality to deliver features more easily and reliably. Keep our cloud footprint clean and documented using Terraform
• Share responsibility for the day-to-day operation of our platform
• Mentor other members of the team

Benefits

• Company-sponsored travel to interact with colleagues several times a year
• We provide generous health benefits, 401(k) plan, and a WFH budget for you to set up your home office
• Equity compensation so that all employees can participate in Ternary's success