Hiring: Forward Deployed Engineer Company: Climb Location: United States Job Posted Time: 2026-09-12 14:44:53 Employment Type: Remote Target Skills & Keywords : AWS, Azure, CI/CD, Data Pipeline, Databricks, Delta Lake, GCP, Java, LLM, Machine Learning, Python, RAG, SQL, Scala About the job Experience: •2+ years of software engineering, data engineering, or technical delivery experience. Required Skills: •Build the components and features you are assigned: production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load. •Own the implementation decisions within your scope and be accountable for the quality, testing, and reliability of what you ship. •Work from a scoped brief: turn a defined requirement into working software without needing to be told how. •Participate in architecture reviews, standups, and working sessions; ask the questions that surface constraints early. •Raise blockers, risks, and scope changes to your Senior Engineer or Architect as soon as you see them, not after they land. •Write documentation and runnable, maintainable code so the client can operate what you build after the engagement ends. •Engage directly with client engineers and stakeholders in the course of your work, with support from more senior Climbers on the broader relationship. •Build your range deliberately: pick up new tools, patterns, and parts of the stack as engagements require. Qualifications: •Demonstrated ability to take a scoped requirement and deliver working, production-quality software with limited supervision. •Applied hands-on capability in one or more of: application or backend development, cloud environments (AWS, Azure, or GCP), data pipeline development, or LLM application development. •Strong fundamentals in at least one primary language (Python, Scala, Java, or equivalent) and SQL. •Clear communicator: can explain what you built, what you decided, and where you are stuck, to both engineers and non-technical stakeholders. •Comfort working in someone else's codebase and environment, and adapting to a client's constraints and standards. •Genuine appetite to learn the client-facing side of the work, not just the systems and code. •Exposure to Databricks (Delta Lake, Workflows, Unity Catalog, Mosaic AI) or a comparable modern data platform. •Operational familiarity with CI/CD, testing discipline, and infrastructure-as-code. •Prior consulting, systems integrator, agency, or other client-facing experience. •Note on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire. Compensation: •Flexible work environment (work from home / hybrid options) •Competitive base salary with performance-based bonuses 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!