Role Description TetraScience is the scientific data and AI company. Our documentation is how customers, from bench scientists to platform engineers, learn to build on the platform, and increasingly it is how AI agents consume the platform too. We are looking for a Documentation Engineer to own documentation as a system: - Manage the pipelines that build and publish documentation. - Oversee AI-augmented workflows that generate drafts for human review and refinement. - Handle the review and publish process. - Ensure infrastructure makes documentation reliably consumable by AI agents. This is primarily a documentation systems role, not only a writer who uses tools. The differentiator is building and owning the systems that produce, validate, publish, and AI-enable our documentation. Strong writing and editorial judgment are still required, but the center of gravity is tooling and systems, and a large portion of the day-to-day is building. - Lead the growth of our existing docs-as-code foundation and AI-assisted documentation workflows into a docs-as-AI-agents capability. - Own editorial quality and the release-notes cadence while focusing on building leverage. - Own the documentation site and its publishing as software: the docs-as-code repo, CI/CD publishing pipelines, build performance, and automated checks. - Build and grow AI-augmented documentation workflows: AI-assisted drafting, summarization, classification, consistency and staleness checks, and a feedback loop for quality improvement. - Structure and transform content for AI systems to reliably chunk, index, and reason over it. - Generate reference documentation from source (OpenAPI and related specs) and maintain alignment with platform changes. - Lower the barrier for internal contributors to ship their own docs through the docs-as-code workflow and reduce repetitive work through automation. - Own the release-notes and customer-communications cadence with every platform release and run the SME review for accuracy and timeliness. - Own the documentation style guide, hold the review-and-publish gate, and keep the team runbook current. Qualifications - 5+ years owning documentation tooling, content engineering, or developer documentation for a developer-platform or enterprise B2B product. - Engineering ability in a scripting or web stack (e.g., Python, TypeScript, or JavaScript) and fluency with docs-as-code: Git, pull-request review, CI/CD, and a static-site or CMS publishing pipeline. - Hands-on experience building AI-augmented or LLM-backed workflows: integrating LLM APIs, AI-assisted authoring, and structuring content for AI consumption. - Ability to read and reason about a real codebase and API surface well enough to document it accurately and build tooling against it. - Strong editorial judgment: ability to clarify dense engineering changes for customer safety. - Bachelors or Masters degree in a technical field, or equivalent practical experience. Requirements - Experience making documentation consumable by AI agents (llms.txt, content negotiation, RAG pipelines, MCP servers). - Experience in BioPharma or scientific software, or in regulated and validated (GxP) environments. - Experience generating reference docs from OpenAPI or related specifications with two-way Git sync. - Developer-relations or developer-education exposure. Benefits - 100% employer-paid benefits for all eligible employees and immediate family members. - Unlimited paid time off (PTO). - 401K. - Flexible working arrangements - Remote work. - Company paid Life Insurance, LTD/STD. - A culture of continuous improvement where you can grow your career and get coaching.

Role Description Join us to do the best work of your career and make a profound social impact as a Senior GenAI & High Performance Computing (HPC) Delivery Engineer on our Service Delivery Team in Austin, Texas or Remote United States. 50-70 % National Travel. We’re seeking a Senior GenAI & HPC Engineer with deep experience in GPU accelerated systems, Linux performance tuning, and benchmarking. This role is highly hands-on and customer-facing, supporting onsite deployments across the U.S. for advanced HPC and GenAI solutions. You will work as a part of a team to help build, integrate, and test some of the world’s largest multi-GPU systems, benchmark them using industry standard tools, and deliver the next generations of AI and HPC infrastructure. - Deploy, configure, and validate GPU accelerated compute clusters for AI, ML, and HPC with NVIDIA Base Command Manager (Warewulf and OpenHPC knowledge are a plus) - Perform benchmarking with HPL GPU, HPL MxP, STREAM, NCCL, RCCL, OSU Microbenchmarks, and related tools - Produce as-built documentation, performance reports, and share best practices amongst the team. - Configure and secure RHEL, Ubuntu, Rocky for GenAI or HPC workloads - Work directly with customers onsite (travel both regionally and across the U.S.) Qualifications - 7+ years with HPC or GenAI clusters, GPU based systems, AI infrastructure, or related fields - Deep hands-on experience with GPU deployment, configuration, and multi-node testing using NVIDIA Base Command Manager - Proficiency with benchmarking tools: HPL, STREAM, NCCL, RCCL, MxP, OSU Microbenchmarks - Red Hat certification (RHCSA/RHCE) or 7+ years of relevant RH distros experience - Experience with GenAI/HPC networking (InfiniBand and/or RoCE) - Experience working in Linux based parallel computing environments at scale - Experience with containers/orchestration (Docker, Singularity/Apptainer, Kubernetes, Slurm) - Ability to travel up to 70% of the time across the U.S. as needed for projects - Strong customer facing and communication skills Requirements - Bachelor’s degree - NVIDIA certifications (NCA, NCE, DGX) - Experience with NVIDIA UFM, Infiniband, and SpectrumX fabrics - Exposure to hybrid cloud or GPU cloud environments - Experience with GPU observability/performance profiling tools Benefits - Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member — right now at MyWellatDell.com Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $145,000 to $199,100. Company Description We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. - Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. - Join us to build a future that works for everyone because Progress Takes All of Us. - Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment.

• Design, implement, and maintain data quality rules, checks, and controls across enterprise data assets. • Perform data profiling, root cause analysis, and anomaly detection across SAP and non-SAP data sources. • Partner with business stakeholders to understand data quality issues, business impacts, and remediation priorities. • Translate business requirements into measurable data quality rules and thresholds. • Develop and maintain data quality frameworks, including reusable SQL patterns, UDFs, stored procedures. • Implement automated scheduling and orchestration of data quality checks using Snowflake-native capabilities (e.g., tasks, streams) and/or pipeline orchestration tools (ie: Informatica). • Implement data quality monitoring and observability scorecards, and reporting for key metadata domains. • Own and evolve enterprise data quality KPIs/scorecards, including standardized definitions, thresholds, and executive-ready reporting across domains. • Analyze data discrepancies and ensure reconciliation back to systems of record. • Lead issue management workflows, including defect triage, prioritization, root cause documentation, corrective action validation, and prevention recommendations. • Contribute to documentation of data quality standards, rules, and operational procedures. • Assist in user acceptance testing and quality assurance for new or enhanced data assets. • Provide input and feedback to improve enterprise data quality processes and tooling.

Role Description Feeld is hiring a Staff Engineer (Full Stack) to raise the reliability and operability of our production systems across backend and mobile integration. This role exists now to improve how we detect, respond to, and prevent production incidents, and to strengthen the engineering practices that help teams move quickly without compromising stability. This is a hands-on individual contributor role with significant cross-team influence: - Lead through technical decisions, incident leadership, and pragmatic improvements to systems and process. Team context: - Reporting line: Sits on the Platform team reporting to the Head of Platform Engineering. - Works closely with engineering leadership and partners day-to-day primarily with backend engineers. - Scope & influence: Collaborate across squads to improve production ownership, reliability, and backend↔mobile integration patterns. - Ways of working: Remote-first, async-friendly, high trust; expected to communicate clearly in writing and help teams adopt consistent operational practices. What success looks like within your first year: - Reduced incident frequency and/or impact through concrete reliability improvements (e.g., better alerting, safer deploy patterns, guardrails, playbooks). - Made incident response more effective (clear ownership, faster MTTR, better post-incident follow-through). - Delivered improvements to backend/mobile integration that reduce breakages and production risk. - Established (or materially improved) documentation and operational standards that other engineers consistently use. What you will do: - Own reliability outcomes across critical backend services and their integration with mobile clients (React Native). - Lead technical problem-solving during incidents: coordinate response, diagnose root causes, communicate status, and drive to resolution. - Build and evolve monitoring/observability (dashboards, alerts, tracing, logging) that enables fast detection and diagnosis. - Drive post-incident reviews (blameless) and ensure learnings become durable fixes (tech changes, runbooks, automation, process updates). - Improve engineering safety and quality: guardrails, safer migrations, feature-flag practices, rollout strategies, and resilience patterns. - Partner with product, design, QA, and engineering early to align delivery plans with operational risk and reliability needs. - Strengthen documentation and onboarding: architecture notes, runbooks, service ownership docs, and “how we work” guides. - Mentor engineers through pairing, reviews, incident shadowing, and pragmatic coaching on production ownership. Qualifications - Significant experience building and operating production backend systems at scale, including debugging distributed systems and performance issues. - Strong TypeScript/Node.js (or equivalent) backend experience; comfort working across services and APIs. - Proven incident response leadership: on-call participation, triage, mitigation, and root-cause analysis (RCA) with follow-through. - Solid observability skills: practical experience with logging/metrics/tracing and turning signals into actionable alerts and dashboards. - Experience collaborating with mobile teams and understanding mobile↔backend integration concerns (e.g., API compatibility, releases, feature flags). - Demonstrated Staff-level IC leadership: influence through design reviews, technical direction, documentation, and cross-team alignment. Requirements - React Native experience and/or strong understanding of mobile architecture patterns and release constraints. - AWS (or similar cloud) experience and familiarity with infrastructure-as-code, CI/CD, and production tooling. - Experience designing reliability programs (SLOs, error budgets, incident process) and running operational excellence improvements. - Experience with PostgreSQL / Redis and performance tuning in high-traffic systems. - Experience in a high-growth environment where prioritization and pragmatic trade-offs are essential. Benefits - Flexible working hours - Unlimited paid time off - A fully remote working situation - Home office budget - Learning & development budget - On demand therapy sessions and mental health support via Spill - In-person meet ups Company Description Feeld is an independent, experimental and fully remote organisation reshaping the dialogue on dating and sexuality. The company was founded in 2014 and has evolved since to become the open, distributed structure it is now. We have a naturally agile and fluid culture. The whole team is fully remote, which means you work where and when helps you perform at your best. We regard autonomy highly and treat our organisation as a product – we iterate, improve and test things internally to see what works best for everyone.