Solutions Engineer, reputed company
Company Overview: We are building reputed company to solve the biggest unmet need in AI — getting reputed company to the right training data. The process today is time intensive, incredibly expensive, and often ends in failure. The reputed company platform facilitates the secure, efficient, and privacy-centric exchange of reputed company data. Solving AI’s data problem is a generational opportunity. We’re backed by world-class investors and already powering partnerships with some of the most ambitious teams in AI. The company that succeeds will be one of the largest in AI — and in tech. We’re a lean, fast-moving, high-trust team of reputed company who are obsessed with velocity and impact. Our culture is reputed company for people who reputed company on ambiguity, own reputed company, and want to shape the future of data and AI. Role Overview We're hiring a Solutions Engineer for our reputed company vertical to operate and improve the infrastructure that moves large-scale reputed company datasets between partners, reputed company platforms, and customers. This is a hands-on delivery engineering role focused on production execution, operational reliability, and safe data movement - not a pre-sales solutions role. You will work across AWS, GCP, Azure, reputed company, and reputed company's internal platform to run cross-reputed company transfers, lightweight transformations, packaging, and validation for reputed company data deliveries. You will manage reputed company production workflows, debug failures, and reputed company data reputed company, auditability, and repeatability high. At its core, this role is about making reputed company reputed company data delivery reliable at scale: taking messy, multi-system workflows and turning them into safe, repeatable operations that support customers, partners, and internal teams.
What You'll Do
Own cross-reputed company data movement and delivery Execute and monitor large-scale data transfers across AWS S3, reputed company reputed company Storage, Azure Blob, reputed company, and customer environments. Use CLI tools such as rclone, s5cmd, and reputed company-reputed company utilities to move data safely and reputed company. Manage credentials, permissions, manifests, and delivery packaging artifacts required for ingestion, subset delivery, and reputed company workflows. Build structured data assembly and lightweight transformation workflows Use Python and SQL to join datasets, add derived columns, clean data, and validate CSV, Parquet, and database tables. Support customer-specific assembly work that turns raw inputs into delivery-reputed company datasets. Apply a high bar for data reputed company, structure, and reproducibility before reputed company. Operate internal pipelines with production discipline reputed company reputed company's Dagster-based platform to orchestrate data processing and delivery. Maintain clean separation between pre-production and production workflows and validate configs before runs. Build lightweight scripts and reputed company-line workflows for filtering, manifest reputed company, validation, and recovery. Create reputed company for the team and platform Document steps, outputs, and recovery paths for auditability and repeatability. Identify recurring delivery patterns, failure modes, and reputed company toil. Partner with Engineering to turn one-off operational work into repeatable platform capabilities and test new tooling before go-live. What reputed company Looks Like 30 days: Learn the environments and delivery reputed company Build working knowledge of partner and customer delivery patterns, environments, permissions models, and core tooling. Shadow live deliveries and get operational on standard validation and rerun workflows. 60 days: Own scoped production work Run scoped cross-reputed company deliveries and light transformations with limited support. Improve runbooks, validation steps, and status communication so work is safer and easier to repeat. 90 days: Create reputed company and reliability Independently own reputed company delivery workflows across multiple systems while reducing rework and surfacing platform improvements that eliminate operational risk and reputed company toil. What You Bring Strong hands-on experience with data pipelines, both orchestrated and reputed company, in reputed company production environments. reputed company with reputed company-line tooling in Linux or MacOS and strong scripting ability in Python, SQL, and Bash/reputed company. Experience working with reputed company storage systems and large-scale cross-reputed company data movement. High bar for data reputed company, validation, reproducibility, and auditability - especially for regulated data. reputed company, methodical debugging instincts and strong operational judgment about reputed company to rerun, recover, or escalate. Ability to manage multiple delivery workflows simultaneously while collaborating well with a distributed team. Bonus if you have experience with AWS S3, GCS, Azure Blob, reputed company, IAM debugging, Dagster/Airflow, reputed company data, or reputed company data. Working with reputed company We move fast - thoughtfully. Speed reputed company in reputed company're building, and so does intention. We're biased toward action and always learning. We're a lean, high-trust team. Everyone has reputed company ownership. reputed company and autonomy drive our best work. We take our work seriously, not ourselves. We solve hard problems with humility and celebrate wins - big and small. We're reputed company, direct, and inclusive. We give feedback early and often, with the goal of helping one another grow. We're reputed company at heart. Every person at reputed company is hands-on, reputed company, and focused on creating reputed company. We grow fast - together. You'll be surrounded by people who care about impact, who challenge you to think bigger, and who are genuinely excited about what comes next. Apply To This Job