…applications, infrastructure, data, models, and security into one place, using AI to detect and resolve issues before they impact customers. Trusted globally by Fortune…

…Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform…

…You’ll be mentored by senior engineers while taking increasing ownership of real production data platforms. Administer Snowflake accounts, virtual warehouses, and database objects…

…see our data engineering agent benchmark https://www.snowflake.com/en/blog/engineering/data-eng-bench-data-engineering-agent-benchmark/. ABOUT THE ROLE This…

…The Role As a Senior Software Engineer on the ML Infrastructure team, you will design and implement the core backend and infrastructure powering our…

…SENIOR SOFTWARE ENGINEER - EXTERNAL OBSERVABILITY PLATFORM Location: Bellevue, WA (Hybrid: 3 days/week in-office) Team: Infrastructure & Observability Platform Engineering ABOUT THE ROLE Snowflake…

…dbt is a must, Stitch/Fivetran, Snowflake/BigQuery/Redshift, Airflow, Dagster, Looker/Mode/Sigma). - Bring a system-oriented and software engineering mindset to the…

…infrastructure, reliability, observability, security, and maintainability Establish strong engineering practices for full stack development, testing, release management, monitoring, and operational support Mentor engineers across…

…This role focuses on the backend infrastructure that powers our flagship products like Snowflake Intelligence, Cortex Agents and Search making agentic AI fast, reliable…

…Observe by Snowflake is a high-growth SaaS observability platform built on the Snowflake AI Data Cloud, enabling businesses to troubleshoot modern distributed applications…

…About Snowflake Snowflake is the AI Data Cloud trusted by the world's most innovative companies. We're shipping production-ready AI applications at…

…5 years of experience in BI Engineering, analytics engineering, or IT infrastructure supporting data platforms. Experience with Snowflake, GitHub, and dbt for scalable data…

…improve the value realized by automation at scale. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years…

…Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top…

…Establishes engineering standards for Large Language Model-based applications — RAG pipelines, embedding workflows, vector store integrations, and model serving — ensuring safety, observability, and reproducibility…

…Establishes engineering standards for Large Language Model-based applications — RAG pipelines, embedding workflows, vector store integrations, and model serving — ensuring safety, observability, and reproducibility…

…data CI/CD, backfills, lineage, observability, and offline feature datasets for ML. - Collaborate with Manufacturing Operations and Infrastructure to acquire data from machines, PLCs…

…Mentor peers, provide high-signal feedback, contribute to hiring, and lead by example. What We Look For 8+ years of software engineering experience, with…

…ZoomInfo's workflow orchestration engine — powering lead-to-account matching and multi-step, cross-system business processes triggered by buying signals and business logic…

…Drive engineering excellence in performance, reliability, and observability of metric query execution at scale. Foster a culture of design docs, thoughtful code review, and…

…Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career…

…data product architectures Proficiency with Infrastructure as Code (Terraform) and containerized deployments (Docker, Kubernetes) Experience with data observability, quality, and metadata management tools Experience…

…Define and enforce data quality checks, SLAs, and observability standards to ensure data is accurate, timely, versioned, and trusted by stakeholders. Integrate and enrich…

…software engineering. - Technical Depth: A strong background in the modern data stack (Python, SQL, Airflow/Dagster, BigQuery/Snowflake,Kafka, Flink) and cloud infrastructure (GCP…

…environments Establishes engineering standards for LLM-based applications — RAG pipelines, embedding workflows, vector store integrations, and model serving — ensuring safety, observability, and reproducibility at…