Ternary is seeking a Staff Software Engineer, Backend, to join our team. Global cloud spending will grow by more than 20% annually to over $670B in 2024. Both enterprises and managed service providers (MSPs) are actively looking for a FinOps platform that provides visibility, optimization, and automation to manage their cloud spending and maximize business value. Ternary is a leading FinOps platform provider, managing our customers' billions of dollars of cloud spend.

About us:

We are passionate about building a platform that excels in FinOps, one that we wish we had in our past roles as engineers, financial analysts, and leaders. Our founding team boasts deep experience, with many members having been early employees at leading cost management/FinOps products. We've leveraged this expertise to develop an advanced platform that serves enterprise and MSP customers operating at scale. We are well-funded and have plenty of runway to succeed. At Ternary, we value being biased toward action, acting with urgency, quick execution, and passion for supporting our customers.

You:

• 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.

Comp and 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.

• The team culture is the best of what you would expect to see at a startup combined with a level of maturity you would see at a much larger company.

At Ternary, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of racial orientation, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Ternary is a remote-first company.