Sr Design Quality Engineer Jobs

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work wi

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work wi

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

CSQ127R318 As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with t

CSQ127R318 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work wi

RDQ427R273 Mission At Databricks, our mission is to simplify and democratize data and AI so more organizations can solve the world’s toughest problems. As a Product Designer focused on AI/BI experiences, your mission is to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. As a Product Designer focused on AI/BI experiences, you won’t just design dashboards or workflows. You’ll design how humans and AI think together. You’ll help define what it feels like to ask a question of your company’s data in plain language — and receive an answer you can trust. You’ll shape how insights are generated, explained, challenged, and shared. You’ll craft the bridge between complex AI systems and real human decisions. You'll be working closely with the product and engineering teams based in Seattle. The impact you will have: Reimagine how users explore data using natural language and AI assistance Design interactions that make AI-generated insights transparent and trustworthy Create experiences that move from exploration → validation → action in minutes Enable collaboration between data engineers, analysts, and business leaders Help define new design patterns for AI-native enterprise software Influence long-term AI/BI strategy, contributing to how Databricks differentiates in the modern analytics landscape. What we look for: 5+ years of product design work experience. A bachelor's degree or equivalent, with specialization in HCI, Interaction Design, graphic design, computer science, or related disciplines. You’re comfortable talking to strategic customers in key decision-making positions. Experience shipping great digital products. We strongly believe that a designer’s involvement never stops. You should be comfortable overseeing and impacting the entire process from idea to GA. Demonstrated ability to lead large and complex design projects and balance the needs of diverse stakehold

CSQ127R319 As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize solutions to their data & AI challenges using the Databricks platform. You will own the architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations. FDEs deliver with customer empathy, integrating with client systems, training, and other technical needs to help customers get most value out of their data. This is a hands-on, customer-facing role for builders who thrive at the intersection of technology and business impact. The ideal candidate combines engineering expertise with adaptability, curiosity, and a passion for working with customers and teammates to solve complex problems that drive measurable outcomes. FDEs are billable and know how to complete projects according to specification with exceptional customer empathy. The impact you will have: Production Solution Delivery: Lead impactful customer technical projects by delivering production-grade systems, designing and building reference architectures, custom applications and data ingestion and ML/AI model integration Transformational Impact: Guide strategic customers as they implement transformational big data projects including end-to-end design, build and deployment of industry-leading big data and AI applications. Work with engagement managers to scope technical delivery work with input from the customer Empower Customers: Guide customers on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks. Own the Architecture: Lead architecture and design decisions, ensuring solutions are secure, scalable, and aligned with both customer needs and Databricks best practices. Work with the Databri

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Job Overview: Sony Interactive Entertainment (SIE) is part of the Sony Group and responsible for the marketing, sales, and distribution of PlayStation hardware, software, services, and digital content. We are seeking an experienced and strategic Sr. IT SOX Governance Lead to establish and drive end-to-end ownership of IT SOX governance within DTIS Global Service Operations (GSO). This role will serve as the primary lead responsible for IT General Controls (ITGC) governance, control framework ownership, audit coordination, onboarding of new systems, and governance standardization across the enterprise. This position is critical to scaling IT governance capabilities, reducing operational risk, and enabling sustainable compliance operations as SIE continues to grow. The ideal candidate will combine deep SOX and ITGC expertise with strong governance leadership, operational execution, and cross-functional collaboration skills. Key Responsibilities: IT SOX Governance Ownership Own and manage the IT SOX governance framework and ITGC program. Establish standardized governance processes, methodologies, and control design practices. Lead end-to-end ownership of ITGC lifecycle activities including design, implementation, onboarding, testing support, remediation tracking, and

Role Overview This is a senior individual contributor role with significant architectural ownership. You will set the technical direction for how Backblaze detects, correlates, and responds to infrastructure incidents across our data centers, and you will mentor other engineers on the team as that platform matures. If you have a passion for making complex distributed systems visible, you are comfortable making architecture decisions that will outlive your tenure, and you are excited about applying AI and agentic automation to infrastructure operations, this role was built for you.. Key Responsibilities Technical Leadership Set technical direction and standards for observability across the organization, including instrumentation conventions, alerting philosophy, and dashboard design patterns. Mentor engineers on the Observability team and act as a technical resource for SRE, Storage Engineering, and Network Engineering on observability practice. Lead design reviews for observability work and represent the team in cross-functional architecture discussions. Evaluate build-versus-buy decisions for observability and AIOps tooling, including data sovereignty and compliance considerations. Produce and maintain design documentation, runbooks, and architectural decision records that make the platform operable and extensible by future contributors. Observability Platform Own and evolve our metrics pipeline, including VictoriaMetrics, Prometheus, and the Consul-based service discovery layer that keeps scrape targets current as infrastructure scales. Own and expand our logging stack (OpenSearch, Logstash, and Filebeat) across all Backblaze data centers. Architect and expand distributed tracing with Jaeger and OpenTelemetry, extending coverage beyond the current application instrumentation to new services. Define and maintain Grafana dashboard standards for infrastructure, storage, and application performance visibility. Drive expansion of internal application telemetry in partn

Adobe Firefly’s Generative AI Services team is seeking a Senior Staff Machine Learning Engineer for our GenAI Services area. In this high-impact role, you will work with a team of talented engineers in building scalable, high-performance generative AI systems—powering features across Adobe products like Firefly, Photoshop, Illustrator, Express, Stock, and Premiere. You will design and develop efficient inference pipelines, optimize models for latency and through at inference, and build APIs and ecosystems that integrate both Adobe’s first-party and third-party generative models into Adobe suite of products that serve individual and enterprise customers. You will tackle Adobe’s most complex engineering challenges at the forefront of the the industry, set technical direction, and mentor other ML engineers. Job Responsibilities Design and Development of core GenAI services and APIs that integrate a wide range of generative models into Adobe’s flagship products. Design and build ML workflows for enterprise-scale model customization, serving, and ecosystem integration. Collaborate with Adobe Research and other model developer teams with a focus on model inference strategies and productization of those model Build and optimize GPU-accelerated pipelines for both (customized) model training and inference—prioritizing performance, scalability, and reliability. Foster a culture of innovation , technical excellence, and continuous improvement across the organization. What You’ll Need to Succeed MS or PhD in Computer Science, Machine Learning, or a related field—or equivalent industry experience. 10+ years of experience in machine learning, including production-scale deployments. 3+ years of experience leading large-scale, GPU-intensive GenAI systems (training,

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. Adobe is listed as Fortune’s “100 Best Companies to Work For” for 20 consecutive years. You will also be surrounded by colleagues who are committed to helping each other grow. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Changing the world through digital experiences is what Adobe’s all about. We give global brands everything they need to design and deliver exceptional digital experiences. We’re passionate about transforming how companies interact with customers across every screen. The Opportunity Adobe Experience Platform and Apps powers real-time customer experiences for the world’s largest enterprises — unifying data, resolving identity at scale, orchestrating journeys, and activating audiences across channels. The Forward Deployed Engineer sits at the intersection of solution architecture, technical consulting, and hands-on engineering. You’ll work directly with Adobe’s strategic customers to solve complex platform challenges, design scalable architectures, and build solutions that accelerate adoption. You’ll operate in a multi-functional Customer Pod with end-to-end ownership, partnering with customers, product teams, and engineers to turn complex problems into working solutions. What You’ll Do Partner with strategic customers to understand their architecture, workflows, security requirements, and business objectives. Translate complex customer problems into scalable solution designs, reference architectures, and working prototypes. Investigate and resolve production-level platform issues across data ingestion, identity resolution, journey orchestration, and audience activation. Des

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. Join Micron Technology at a defining moment in our history. We are seeking a hands-on, results-driven Full-Stack AI Engineer to design, build, and deploy production-grade AI applications across our worldwide fab and assembly/test plants. Reporting in Industrial and Physical AI director, you will own AI products end to end -- from data pipelines and model training to web/mobile front-ends, APIs, and on-prem or edge deployment -- shipping the tools that put AI into the hands of fab engineers, operators, and leadership across this global program. Job Responsibilities Design, build, and ship full-stack AI applications for Micron's Autonomous Operations, including: - Design and build end-to-end AI products: data ingestion, feature pipelines, model training/inference, APIs, web UI, and observability Develop responsive front-ends in React, Angular or Streamlit, backed by Python/FastAPI, with strong type-safety and test coverage Integrate LLMs and agentic into production workflows for fab engineers Integration of robotics platforms, AMRs, tool automation, and control systems with smart manufacturing applications and the Micron MES ecosystem Containerize services (Docker), deploy via Kubernetes / OpenShift, and automate releases with CI/CD (GitHub Actions) Instrument production AI with monitoring, drift detection, evals, and feedback loops; treat MLOps as a first-class engineering concern Apply Responsible AI practices: input validation, prompt-injection defense

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. 1. Job Title & Role Overview Senior Detection Engineer — Security Information and Event Management (SIEM) Engineering and Detection Content Engineering. Experience required: 4 to 8 years. Role Overview The Senior Detection Engineer is a senior technical contributor accountable for SIEM delivery and detection content engineering across the enterprise. You will design, build, test, deploy, tune, and continuously improve detections that draw on SIEM, Network Detection and Response (NDR), Endpoint Detection and Response (EDR), cloud, identity, network, endpoint, application, and email telemetry. 3. Responsibilities and Tasks SIEM Engineering and Delivery Drive the design, implementation, maintenance, and optimization of the enterprise SIEM platform. Define and maintain the SIEM delivery roadmap in line with Global Security Organization strategy and business priorities. Onboard security-relevant log sources with appropriate parsing, normalization, enrichment, correlation, retention, and searchability. Monitor and improve platform availability, performance, scalability, capacity. Keep SIEM components on supported versions and ensure relevant patches and updates are applied. Troubleshoot data ingestion, pipeline, parsing, indexing, correlation, and platform performance issues. Maintain engineering standards, techni

FEQ128R38 At Databricks, we are on a mission to empower our customers to solve the world's toughest data and AI problems by utilizing the Databricks Data Intelligence Platform. As a Sr. Delivery Solutions Architect, you will partner with Sales, Solutions Architecture, and Field Engineering to accelerate the adoption, growth, and strategic impact of Databricks with our most complex customers. You will serve as a senior technical advisor, helping customers design, implement, scale, and optimize complex data and AI solutions across business units, geographies, and product areas. This is a highly technical and strategic customer-facing role. You will define technical execution strategies for high-value accounts, drive architectural alignment across complex use cases, and orchestrate Databricks, customer, and partner teams to deliver measurable outcomes. You will build trusted relationships with senior technical and executive stakeholders while contributing expertise, frameworks, and best practices that scale beyond individual customer engagements. The Impact You Will Have Define technical execution strategy across high-value, complex customer accounts spanning multiple use cases, business units, geographies, or product areas Serve as a senior technical advisor to customer architects, technical leaders, and Director/VP-level stakeholders Design and influence secure, governed, scalable architectures while balancing performance, cost, reliability, and long-term platform strategy Orchestrate Databricks, customer, and implementation partner teams to align technical execution and accelerate strategic outcomes Anticipate platform maturity and scaling needs and establish technical standards for security, governance, developer experience, and operational excellence Drive adoption, consumption, and measurable business outcomes through technical strategy and execution Lead complex technical escalations spanning multiple systems, teams, or workloads Build reusable technical framewo

We’re looking for a strategic, customer-journey-obsessed leader to take ownership of Asana's website as a driver of product understanding, customer acquisition, and trial conversion. The Web Marketing team partners across the organization to bring Asana's vision to life on asana.com—and we're building the strategic muscle to match our executional strength. In this role, you'll define and champion the digital experience for new and existing customers, shaping how they discover, understand, and engage with Asana's growing product portfolio. You'll work closely with partners in product marketing, organic discovery, paid media, data science, product, engineering, and design to create a site that measurably moves the needle. This role is based in our Vancouver office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you’ll achieve Bring end-to-end website strategy for asana.com to life, establishing a customer-journey-led vision for key segments Influence how the site supports product discovery, trial starts, and revenue growth across new and existing audiences Develop the website tactical roadmap by synthesizing qualitative research, user insights, and quantitative data to identify the highest-leverage opportunities for the business. Build deep cross-functional alignment, influencing how teams in PMM, product, engineering, and design contribute to and evolve the digital experience—turning the web into a shared strategic asset. Elevate how the web team operates, shifting from a support model toward proactive, insight-driven strategy that shapes how Asana shows up for customers online. Partner with PMM and product to translate Asana's multi-product