Hiring: Sr. Systems Engineer Company: Datavations Location: New York, United States Job Posted Time: 2026-09-10 12:24:54 Target Skills & Keywords : AWS, Airflow, ArgoCD, BigQuery, CI/CD, ClickHouse, Dagster, Data Pipeline, GitHub Actions, GitLab CI, IaC, Infrastructure as Code, Jenkins, Jira, LLM, Next.js, Prefect, Project Management, Python, React, SQL, Snowflake, Terraform, TypeScript, dbt About the job Experience: •5 years of experience in Cloud Infrastructure, Site Reliability Engineering (SRE), or Platform Engineering. •At least 5 years of experience in Cloud Infrastructure, Site Reliability Engineering (SRE), or Platform Engineering. Required Skills: •The attribute extraction engine — LLM-based extraction at production scale, its configuration model, its quality gates, and its cost profile. •The transformation layer for this domain — the dbt models that turn extracted values into published attributes: standardization, and the override model that lets human judgment reliably beat the machine. Built on our ClickHouse warehouse alongside the data platform team. •Orchestration and reliability for these pipelines — the Dagster jobs, sensors, and schedules that run taxonomy and attribute processing, including run monitoring, retries, alerting, and recovery tooling. Reliability is not a separate team here; for this domain, it is this seat. •The write path — every change validated, logged, and visible before it ships, with approval where it matters. •Data quality and observability — automated testing on the data itself, plus statistical detection of what goes wrong quietly: outliers, drift, a retailer that stopped updating, a value that flips between runs. •Engineering standards for the domain — documentation, tests, runbooks, and review culture as the system and the team around it scale. •BUILDING WITH AI, SPECIFICALLY •Evaluation before assertion — golden sets, regression suites that run when a prompt changes, and a defensible answer to “did that make it better?” Quality you can measure, not quality you claim. Qualifications: •Strong expertise with Terraform and using infrastructure as code (IaC). •Strong expertise in architecting solutions using AWS services. •Proficiency with a columnar warehouse (e.g., ClickHouse, Snowflake, BigQuery). •You think like a product person as well as an engineer — you form opinions about what the people using this should be able to do, and would rather understand the problem behind a request than build the ticket as written. •You build with AI daily — both in what you ship and in how you work. AI-assisted development is a habit, not a novelty. •You write things down by default, and can take ownership of an existing codebase without needing its original author in the room. •Bonus: retail, e-commerce, or point-of-sale data. Compensation: •$170,000 - $180,000 / year •Competitive benefits and rewards package •Total compensation may also include equity, performance bonuses, and a comprehensive benefits package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!