Quality Technician I

Work Flexibility: Onsite What You Will Do Lead investigations of non-conformances and implement corrective and preventive actions to support timely issue resolution. Collaborate with Engineering, Production, and cross-functional teams to ensure products and processes meet quality requirements. Support internal and external audits by preparing documentation, participating in audit activities, and addressing audit observations. Escalate quality concerns to Quality Assurance and Engineering leadership and support resolution activities. Manage containment activities for non-conforming product, including identification, segregation, documentation, and reconciliation. Monitor, analyze, and trend quality data to identify risks, recurring issues, and improvement opportunities. Ensure compliance with the Quality Management System and applicable regulatory requirements. Apply statistical analysis and risk management tools, including Failure Mode and Effects Analysis (FMEA), to support decision-making and continuous improvement initiatives. What You Will Need Required Qualifications Bachelor’s degree in Engineering or a related technical field. Minimum 3 years of experience in Quality Engineering. Working knowledge of 21 CFR Part 820, ISO 13485, and the Medical Device Single Audit Program (MDSAP). Advanced English proficiency, written and verbal. Preferred Qualifications Experience supporting internal and external quality audits. Experience conducting investigations, risk assessments, and corrective and preventive action activities. Experience working in a regulated manufacturing environment. Experience using statistical analysis and quality risk management tools. <p style="text-

GAQ427R224 We're hiring an AI Automation Engineer to build the next generation of IT automations to improve the employee experience at Databricks. You'll be building production-grade AI agents and automation services that understand employee requests, retrieve enterprise context, reason across systems, invoke tools and APIs, and take action safely. The goal isn't to automate existing workflows the same way we've done it for the past decade. It's to reimagine how employees interact with IT through intelligent, contextual, and increasingly agentic experiences and to do it on Databricks. What you will do Build AI agents and automations: Design, deploy, and run AI agents that support all of our employees. The agents interpret natural-language requests, gather context, select tools, execute actions, and communicate outcomes. Maintain MCP servers across our AI tools portfolio. Build agentic workflows that decompose goals into steps, handle failures, pause for human approval as needed, and resume their workflows. Ground agents in trusted internal knowledge (policies, runbooks, system documentation, SOPs, etc). Turn high-volume support CUJs into self-service experiences: Identify repetitive, high-friction IT interactions and convert them into reliable AI automation experiences. Instrument AI automations with logs, metrics, and feedback loops. Design and implement AI automations with identity governance, tools RBAC, human-in-the-loop approvals where applicable, audit trails, and failure handling. Create shared automation infrastructure (credential vaults, event ingestion, scheduling, approval workflows, cache/state stores) that other teams can build on. Work with IT Support, Employee Experience, Security, IAM, Infrastructure, and Engineering to identify automation opportunities and take solutions from prototype to production. Write and maintain high-quality technical/engineering documentation that clearly communicates system designs, operational procedures, and architectural

About OfficeSpace: OfficeSpace Software provides the leading AI operating system for the built world, that helps teams plan, connect, and perform in the workplace. As a performance-based, PE-backed company, we hire based on merit and a willingness to do what it takes to succeed long-term. You’re a great fit for the role if you’re entrepreneurial, passionate, motivated by building at light speed, and an Agentic AI early adopter. Our world-class teams operate in the US, Canada, and Costa Rica in a culture of trust, respect, growth, and impact. We're looking for an Engineering Manager to lead four distinct but connected areas: our intern program, intern-staffed maintenance team, Quality Engineering, and Solutions Engineering. You'll lead people at different stages of their careers, from university interns building production experience to senior technical ICs solving complex quality, performance, and customer challenges. Team leads will continue to own day-to-day technical direction. You'll own people leadership, talent development, operating health, and coordination across the portfolio. This is a broad leadership role for someone who can build strong teams, use data to drive decisions, and make AI part of how work gets done. We move fast. You'll help these teams move with more clarity, quality, and leverage. What you'll do Lead, coach, and develop people across the intern program, maintenance, Quality Engineering (QE), and Solutions Engineering (SE), while partnering closely with team leads on technical direction. Build clear goals and development plans for direct reports. Run effective 1:1s, deliver actionable feedback, and create meaningful opportunities for career growth. Own the intern program from recruiting through conversion, including university partnerships, candidate selection, onboarding, mentorship, cohort programming, performance feedback, and offboarding. Build a repeatable intern experience that connects academic learning with meaningful p

GAQ127R40 Team: IT Infrastructure and Operations About the Role At Databricks Information Technology, we are a product-led organization transforming how we work—from the ease of using our IT services to the applications we develop to scale seamlessly during rapid growth. As a Site Reliability Engineer (SRE) , you will bridge the gap between software engineering and systems architecture. You will be a core contributor to the IT Infrastructure team, owning the evolution of core infrastructure and observability platforms. This role requires a strong software engineering mindset and deep technical breadth to deliver high-quality, scalable solutions for "immature" system problems. Your focus will be on building resilient, automated infrastructure that empowers development teams and ensures our cloud environment is cost-optimized, secure, and highly available. The Impact You Will Have Architect and Automate: Design and deploy production-grade infrastructure on cloud platforms (AWS/Azure) using Infrastructure as Code (IaC) tools like Terraform or Pulumi. Reliability and Performance Engineering: Optimize system performance, architecture, and scaling to ensure maximum uptime and minimal latency for critical IT services. CI/CD Excellence: Architect robust deployment pipelines (e.g., GitHub Actions), managing both hosted and self-hosted runners for specialized build requirements. Observable by Default: Create underlying infrastructure to ensure new internal applications are secure and have logging, metrics and alerts enabled by default. Agentic ToolingI: Build internal AI plugins, and automation scripts to streamline developer workflows and enhance operational efficiency. Incident Response: Focus on subsequent data usage, incident management workflows, and creating necessary dashboards to maintain service health. Participate in a shared on-call rotation, leading rapid incident response and technical troubleshooting for production outages.Facilitate blameless post-mortems

CSQ427R351 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by independently owning engagements across their lifecycle. You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows. You will work directly with multiple customers concurrently and set the quality bar for the team. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus. Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows. Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs. Excellent time management and prioritization skills. Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — in

CSQ327R201 At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Scale Solution Engineer, you play a critical role in advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production, by building and working with AI-augmented workflows that enable one engineer to deliver quality guidance at scale. The impact you will have: You will ensure customers have an excellent experience by providing technical assistance across their lifecycle. You will become an expert on the Databricks Data + AI Platform and guide customers in making the best technical decisions through AI-augmented workflows. You will work directly with multiple customers concurrently to provide technical solutions. What we look for: Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks Data + AI Platform. Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience. 1+ years of experience in a technical role, preferably in the Data, AI, or Cloud field. Knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP, is required. Knowledge of AI-driven development with programming languages like Python or SQL. Understanding of the end-to-end data analytics and data engineering workflow. Excellent time management and prioritization skills. Bonus: Experience in consulting or pre-sales roles, or with agentic solutions. About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquar