GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. *Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Staff Forward Deployed Engineer, Agentic SDLCAn Overview of This RoleGitLab’s Forward Deployed Engineering team is a field-situated product engineering function focused on strategic customer outcomes, AI adoption, and direct contribution back to GitLab’s product. This is not a traditional field engineering, solutions architecture, or professional services role. The Staff Forward Deployed Engineer is expected to operate with deep customer proximity while maintaining the technical bar and contribution discipline of a Staff-level product engineer. This role exists where strategic customer urgency, complex technical ambiguity, and GitLab product execution intersect. The Staff FDE will work directly with strategic customers, Product, Engineering, Support, SRE, SA, CSA, CSM, and Professional Services to diagnose and resolve high-impact adoption blockers, contribute production-grade fixes and features, and convert learning into repeatable patterns for GitLab and its customers. The ideal candidate is a Staff-level product or platform engineer with strong Ruby/Rails, Go, systems, DevSecOps, and AI adoption experience who can operate credibly in front of senior customer stakeholders while also contributing directly to GitLab’s core product. Why This Role ExistsStrategic customers sometimes encounter challenges that are too broad, deep, urgent, or cross-functional for any single existing team to own end-to-end. These challenges may involve product gaps, performance degradation, scale bottlenecks, AI governance, adoption blockers, architectural constraints, Git usage patterns, CI/CD complexity, API automation, security requirements, or operational instability. FDE provides technical stewardship in these moments. The team does not simply observe, report, or escalate. FDE engages directly, diagnoses the real technical problem, collaborates with the right internal teams, contributes code or technical solutions where appropriate, and transitions the outcome back into normal ownership once the customer is stabilized and the learning is reusable. Core ResponsibilitiesProduct Contribution - Contribute production-quality code to GitLab’s product and adjacent systems. - Develop bug fixes, features, integrations, tooling, or performance improvements where strategic customer outcomes require direct engineering contribution. - Work within GitLab’s normal product and engineering processes, including issue discovery, MR creation, testing, review, documentation, and maintainability. - Influence Product and Engineering to ensure customer-driven solutions align with long-term product direction and do not become one-off customizations. - Translate field-discovered blockers into durable product improvements, reference architectures, documentation, or repeatable implementation patterns. Strategic Technical Stewardship - Engage with strategically important customers when adoption, retention, executive confidence, or public trust is materially at risk. - Diagnose complex technical problems across GitLab product behavior, customer architecture, Git internals, CI/CD workflows, API usage, observability, infrastructure, networking, and cloud environments. - Coordinate across Product, Engineering, SRE, Support, SA, CSA, CSM, PS, and customer technical teams to drive end-to-end resolution. - Provide data-driven, trace-level, systems-level recommendations for improving GitLab usage, workflows, automation, and architecture. - Ensure FDE involvement creates durable outcomes rather than permanent dependency. AI Adoption and Agentic SDLC - Drive adoption of GitLab Duo Agent Platform with strategic customers in governed, measurable, production-oriented ways. - Identify and resolve blockers to AI adoption, including governance, usage controls, auditability, security, compliance, operating model, workflow design, and integration gaps. - Develop customer-safe adoption patterns for agentic SDLC, AI-assisted development, intent-based review, AI governance, and human-in-the-loop software delivery. - Partner with Product, Engineering, Field, and Customer Success to translate AI adoption learning into reusable guidance and product improvements. Thought Leadership - Lead GitLab in creating industry-shaping technical narratives grounded in real customer experience and product reality. - Contribute to Well Architected Frameworks, whitepapers, webinars, reference architectures, technical strategy memos, and adoption frameworks. - Steward ideas from discovery through formulation, validation, amplification, and normalization across the company. - Partner with SA, CSA, Product, Engineering, Marketing, PMM, CSM, Support, and executive stakeholders to make thought leadership a company capability rather than an isolated team activity. Required Qualifications - Staff-level experience building, operating, or improving complex production software systems. - Demonstrated ability to contribute to large, mature product codebases with high standards for testing, maintainability, performance, and security. - Strong Ruby/Rails or Go experience, with ability to contribute directly to GitLab’s product contribution surface. - Experience diagnosing complex system behavior across application code, data stores, infrastructure, observability, networking, APIs, and customer usage patterns. - Deep understanding of modern DevSecOps workflows, including Git, merge requests, CI/CD, security controls, compliance needs, and enterprise software delivery. - Experience working with strategic customers or senior technical stakeholders in ambiguous, high-impact situations. - Ability to coordinate across Product, Engineering, Support, SRE, SA, CSA, CSM, Professional Services, and customer teams without formal authority. - Strong written communication skills, including the ability to produce technical narratives, architecture guidance, and reusable field/product assets. - Demonstrated judgment in distinguishing reusable product/platform work from customer-specific customization. Strongly Preferred Qualifications - Direct experience with GitLab as a platform, including GitLab.com, Dedicated, or self-managed deployments. - Production experience with Ruby on Rails, Go, PostgreSQL, Redis, Sidekiq, Vue, TypeScript, Kubernetes, Docker, Linux, and observability tooling. - Deep familiarity with Git internals, repository performance, large-scale Git usage patterns, or CI runner behavior. - Experience with AI-assisted software development, agentic workflows, AI governance, model evaluation, context management, prompt/workflow design, or AI adoption in regulated enterprise environments. - Experience creating thought-leadership artifacts such as whitepapers, technical talks, architecture frameworks, RFCs, public technical writing, or internal strategy documents. - Background in performance engineering, SRE, platform engineering, infrastructure engineering, or distributed systems. - Experience working in open-source or highly asynchronous engineering environments. Technologies and DomainsDirectly relevant technologies include: Ruby / RailsGo (GoLang)AI-assisted development and agentic SDLC - PostgreSQL - Redis / Sidekiq - Git internals - GitLab CI/CD and Runner architecture - Kubernetes and containers - Terraform - Linux, networking, observability, and performance analysis - Vue / TypeScript - APIs and automation - DevSecOps governance, security, and compliance Experience with Java, .NET, or other enterprise application stacks may provide useful customer context, but is not a substitute for the ability to contribute directly to GitLab’s core product and adjacent systems. What This Role Is NotThis role is not: - a generic field engineering role - a proof-of-concept factory - a replacement for SA, CSA, CSM, PS, Support, SRE, Product, or Engineering - a customer-specific customization function - unbilled Professional Services - a requirement-gathering role that only escalates to Product - an AI evangelism role disconnected from product execution Success MeasuresSuccess in this role may include: - Strategic customer adoption or retention risks stabilized. - Product bugs fixed or features contributed. - AI adoption blockers removed for strategic accounts. - Reusable implementation patterns created and handed off. - Well Architected Frameworks, whitepapers, webinars, or technical narratives produced or enabled. - Cross-functional customer challenges resolved without creating permanent FDE dependency. - Product, Engineering, Support, CSA, CSM, PS, and SA teams equipped with better guidance from field-discovered learning. - Increased adoption and effective usage of GitLab capabilities, especially GitLab Duo and Duo Agent Platform, in targeted accounts. Ideal Candidate ProfileThe ideal candidate is a Staff-level product or platform engineer who can operate in the field without becoming “field only.” They are equally comfortable reading traces, writing production code, debugging architecture, discussing AI governance, leading a customer technical session, opening a merge request, writing a whitepaper outline, and coordinating across internal teams to achieve a strategic customer outcome. They are not simply a strong communicator with technical awareness. They are a deeply credible engineer with the judgment, presence, and narrative ability required to turn customer reality into product contribution, adoption guidance, and company-level thought leadership. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $254,000—$297,000 USD How GitLab Supports Full-Time Employees - Benefits to support your health, finances, and well-being - Flexible Paid Time Off - Team Member Resource Groups - Equity Compensation & Employee Stock Purchase Plan - Growth and Development Fund - Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Role Description We’re looking for a Staff Software Engineer to build new and maintain existing products in GoGuardian’s Safety product suite. This position sits on the Core team, which owns the GG App -- the client application that brings GoGuardian’s filtering and safety capabilities to macOS, Windows, and iOS devices. The Core team is responsible for the full lifecycle of the app on customer devices: - Packaging and code signing - Silent and at-scale deployment through tools like Intune, GPO, SCCM, PDQ, Jamf, and MDM - Auto-update infrastructure - Health and reporting systems In this role, you’ll contribute to the full software development lifecycle: - Conception - Research - Definition - Scoping - Planning - Implementation - Testing - Documentation - Delivery - Maintenance The ideal candidate is curious, able to manage risk, and driven to deliver quality software that runs reliably on hundreds of thousands of school-managed devices. What You Will Do - Design, build, and maintain the GG App across Windows, macOS, and iOS, including installers, background services, and update mechanisms. - Own Windows installer engineering: MSI/EXE packages built with the WiX Toolset, silent install and uninstall flows, upgrade paths, and code signing. - Build and maintain deployment paths for tools like Microsoft Intune, Active Directory, SCCM, PDQ Deploy, and Apple MDM solutions. - Design and operate the auto-update system: a lightweight background updater service, differential/patch-based updates, signed update packages delivered via CDN. - Write PowerShell and platform scripting to automate installation, uninstallation, registry and service management, logging, and diagnostics. - Navigate customer infosec constraints and design the app to work within them. - Build or integrate install/upgrade health reporting. - Write IT-friendly documentation, deployment scripts, and onboarding materials. - Lead the application architecture decision-making process for the Core team. - Collaborate with a cross-functional team toward feature delivery. - Understand, implement, and contribute to GoGuardian’s best practices. - Champion AI adoption across engineering. - Monitor and track performance and reliability of our services and software. - Build and operate supporting AWS infrastructure. - Take part in short- and long-term planning, and mentor other developers. Who You Are - 8+ years of experience as a software engineer, with significant time spent on desktop/client applications. - Deep Windows platform expertise. - Strong PowerShell and scripting skills. - Hands-on experience deploying software at scale through enterprise systems-management tools. - Experience building or integrating auto-update systems. - Working knowledge of endpoint security and compliance realities. - Familiarity with macOS and iOS deployment. - Direct involvement in shipping at least one production application/product. - Competency in one or more languages; experience with Go, C#/.NET, Swift, or C++ preferred. - Experience with monitoring, performance optimization, technical documentation, and unit/integration testing. - Have deployed software utilizing AWS, Terraform, Kubernetes, Docker, and/or other similar technology. - Confident in making technical decisions and explaining the reasoning behind them. - Writes production-grade code for well-scoped features. Nice to Have - Experience with Kafka or other event-sourcing systems. - Experience shipping software into K-12 or other highly managed IT environments. - An interest in Machine Learning and AI technology. Salary Information The typical base salary range for this position is $190,000 - $220,000 per year. The range displayed reflects the minimum and maximum target for new hire base pay for this position. Equal Opportunity Employer GoGuardian is an equal opportunity employer and makes employment decisions on the basis of merit and business needs. GoGuardian does not discriminate against employees, applicants, interns or volunteers on the basis of any characteristic protected by applicable law.

Role Description The Database Engineer / Senior Database Engineer is responsible for designing, developing, and supporting enterprise-scale data and analytics solutions across TerraForm Power's renewable energy portfolio. This role combines software engineering, data engineering, and cloud technologies to build scalable data platforms, automate engineering workflows, and develop analytical solutions supporting renewable energy operations. The successful candidate will: - Design production-grade data pipelines. - Build scalable applications. - Contribute to the implementation of analytical solutions. - Depending on experience and level, contribute to or lead engineering best practices. - Drive continuous improvement initiatives. - Mentor team members as appropriate. - Support the long-term evolution of the Performance Engineering platform. Qualifications - Bachelor's degree in Computer Science, Data Engineering, Software Engineering, Electrical Engineering, Renewable Energy Engineering, or a related technical discipline. - 5+ years of experience developing production software, data platforms, or engineering analytics solutions. - Strong proficiency in Python with experience developing production-quality software. - Strong SQL skills with experience designing and optimizing analytical data models. - Experience developing ETL pipelines processing large-scale structured and time-series datasets. - Strong understanding of distributed data processing concepts and cloud-based analytics platforms. - Excellent analytical, communication, and problem-solving skills. - Ability to work independently while collaborating effectively with cross-functional teams. Requirements - Design, develop, and maintain enterprise-scale Python data pipelines within Databricks and Delta Lake environments. - Design resilient ETL frameworks supporting production-grade renewable energy analytics. - Build scalable ingestion pipelines integrating SCADA systems, weather providers, market data, and third-party vendor APIs. - Develop reusable engineering frameworks, shared libraries, and automation tools to improve platform maintainability. - Optimize Spark workloads, Delta Lake performance, and large-scale data processing pipelines. - Design robust data models, schema evolution strategies, and data governance standards. - Design analytical solutions supporting lost production, curtailment, availability, degradation, and operational performance analysis. - Integrate satellite weather datasets, forecasting services, and operational telemetry into engineering workflows. - Develop forecasting, regression, normalization, and reconciliation models supporting asset performance evaluations. - Develop and support fleet-wide engineering dashboards and performance monitoring tools. - Develop and maintain data quality frameworks including automated validation, reconciliation, anomaly detection, and monitoring. - Implement engineering best practices for testing, logging, exception handling, observability, and deployment. - Maintain technical documentation, metadata, and data dictionaries. - Participate in architecture reviews, code reviews, and engineering design discussions. - Contribute to the continuous improvement of platform reliability, scalability, and maintainability. Benefits - Compensation: $108,000 - $130,000 (Engineer), $125,000 - $152,000 (Senior Engineer); bonus eligible. Company Description TerraForm Power (“TERP”), a platform company of Brookfield Renewable, attracts high-performing individuals who are driven to make an impact in a fast-paced and collaborative environment. We offer unparalleled opportunity to lead and manage one of the largest renewable energy businesses with decades of history, while contributing to the global need for sustainable energy. We offer tremendous growth opportunity for individuals with an entrepreneurial mindset. The company is committed to employee development, encouraging curiosity, ownership, and continuous learning. You’ll be empowered to take initiative, contribute ideas, and grow your career within a supportive and ambitious organization.

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. Responsibilities and Tasks: - 半導体製造プロセスの条件設定, 開発, および継続的な改善 - プロセス能力の向上および生産コスト削減に向けた改善活動の推進 - プロセス管理項目の構築, 運用, および最適化 - 各種半導体製造装置におけるプロセスパラメータの設定• 最適化 - 新規装置• 材料の評価, 導入検討, および量産展開 - 製造工程で発生する異常の解析, 原因究明, および再発防止に向けた改善活動 - 関係部門と連携した品質向上, 生産性向上, および歩留まり改善の推進 - 生成AIやデータ分析ツールを活用し, 技術文書作成, 知見共有, プロジェクト管理, および意思決定の質向上に貢献する。 ///// - Establish, develop, and continuously improve semiconductor manufacturing processes and operating conditions. - Drive process capability enhancement and cost reduction initiatives to improve manufacturing efficiency. - Develop, maintain, and optimize process control and management systems. - Define, set up, and optimize process parameters for a variety of semiconductor manufacturing equipment. - Evaluate, qualify, and implement new equipment and materials for production applications. - Analyze manufacturing abnormalities, identify root causes, and drive corrective and preventive actions. - Collaborate with cross-functional teams to improve product quality, productivity, and process yield. - Utilize generative AI and analytics tools to support technical documentation, knowledge sharing, project execution, and data-driven decision-making. About Micron Technology, Inc. We are an industry leader in innovative memory and storage solutions transforming how the world uses information to enrich life for all . With a relentless focus on our customers, technology leadership, and manufacturing and operational excellence, Micron delivers a rich portfolio of high-performance DRAM, NAND, and NOR memory and storage products through our Micron® and Crucial® brands. Every day, the innovations that our people create fuel the data economy, enabling advances in artificial intelligence and 5G applications that unleash opportunities - from the data center to the intelligent edge and across the client and mobile user experience. To learn more, please visit micron.com/careers All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. To request assistance with the application process and/or for reasonable accommodations, please contact hrsupport_japan@micron.com Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.