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Design Layout Engineer Jobs

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Explore current design layout engineer jobs. Use filters to narrow by work mode, employment type, experience and date posted.

DU
1mo ago

About The Team DoorDash for Business is building the premier corporate dining and benefits platform—helping companies of all sizes feed their teams through industry-leading products and meal programs. Our mission is to become the go-to solution for executives, administrators, and employees who need seamless, high-quality food programs at work. We move fast, operate with an ownership mindset, and are growing new product lines to better serve our corporate customers. Merchant success is core to that mission. When merchants have a clear, fast, and high-quality path from interest to live, our products work better for everyone—customers, Dashers, and the merchants themselves. About The Role As Associate Manager, Merchant Onboarding and Experience on the DoorDash for Business team, you will own how merchants get onto our programs and how they feel while they do it. You will be the lead for onboarding process design, execution quality, and merchant experience—turning a complex, multi-step journey into something that is faster, clearer, and consistently excellent. Your responsibilities will range from strategic (mapping the end-to-end onboarding journey, setting the operating model, and aligning Product, Ops, Sales, and Support on what “great” looks like) to operational (diagnosing drop-off, tightening handoffs, building playbooks, and using data and automation to remove friction). You will bring a systems mindset: every broken step is a process to redesign, every merchant complaint is a signal, and every manual workaround is a candidate for a better workflow. You will report into the DoorDash for Business Merchant Experience team. You’re excited about this opportunity because you will be driving… Onboarding Process Ownership Own the end-to-end merchant onboarding journey—from first intake through go-live. Map the current-state workflow, identify bottlenecks and failure points, and redesign the process so merchants get live faster with fewer drop-offs, fewer handoffs, and c

sqlaisalesforce
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N
Notion
📍 Paris• Full-time• €98K – €109K/yr
1mo ago

Who We Are Notion is the collaborative AI workspace where teams and agents think together . We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. About the Role: The Notion EMEA Recruiting team acts as trusted business partners who craft a thorough, inclusive, and curated interviewing experience. We believe hiring exceptional talent, at the right time, is the best path forward to achieve our company’s ambitious goals. We’re looking for a Go-to-Market Recruiter to support our growth across key Go-to-Market (GTM) teams in EMEA, with an emphasis on Sales. In this role, you'll help shape our recruiting strategy, manage full-cycle hiring efforts, and ensure a delightful yet rigorous hiring process. This role will be based in Paris. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. What You'll Achieve: Serve as a trusted recruiting partner to leaders across the GTM org, owning the full recruiting lifecycle from sourcing through successful close Design and implement creative sourcing strategies to attract diverse top talent across EMEA markets Ensure scalable and structured hiring plans with consistent evalu

We are looking for a Data Governance & Compliance Manager to join our Information Security team. In this role, you will own the strategy and execution of Talkdesk's data governance program , covering data lifecycle management, retention, privacy rights management, data classification, and data protection controls. You will work closely with Legal & Privacy, Product, Engineering, Security, and business stakeholders to translate regulatory and contractual requirements into practical, scalable controls, processes, and tooling. This is a highly cross-functional role that requires a combination of strong data governance and privacy expertise, project leadership, technical understanding, and the ability to influence stakeholders across the organization. What You'll Own Data Governance & Compliance Strategy Build and own the roadmap for Talkdesk's data governance program, from requirements and design through implementation, measurement, and continuous improvement. Define and maintain data governance policies, procedures, standards, and controls covering data classification, retention, privacy rights management, and data protection. Embed governance requirements into engineering and data processes, enabling teams to follow secure and compliant practices by default. Monitor regulatory developments, including GDPR, CCPA, and other global privacy regulations, and translate them into actionable governance requirements. Assess projects and initiatives to ensure compliance with applicable data governance, privacy, and regulatory requirements. Identify opportunities where strong data governance can create business value, improve customer trust, and enable responsible data use. Cross-Functional Partnership & Execution Partner closely with Legal & Privacy to translate regulatory and contractual requirements into practical governance controls. Collaborate with Product and Engineering to embed data governance and privacy-by-design principles into products

aiproject management
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Gong harnesses the power of AI to transform how revenue teams win. The Gong Revenue AI Operating System unifies data, insights, and workflows into a single, trusted system that observes, guides, and acts alongside the world’s most successful revenue teams. Powered by the Gong Revenue Graph, AI-powered intelligence, specialized agents, and trusted applications, Gong helps more than 5,000 companies around the world deeply understand their teams and customers, automate critical sales workflows, and close more deals with less effort. For more information, visit www.gong.io. At Gong, you will join a company built on innovative products, ambitious goals, and passionate people. We are shaping the future of revenue intelligence and we want people who are excited to build what comes next. You will work with a team that dreams big, moves fast, and cares deeply about the craft and about each other. Here, transparency and trust are core to how we operate, and every person has the opportunity to make a visible impact. If you want to grow, stretch, and do work that truly matters, Gong is the place to do the best work of your career. Staff Software Engineer Want to tackle complex technical challenges, lead innovative solutions, and shape the future of our product? As a Staff Software Engineer at Gong, you will play a pivotal role in revolutionizing how companies understand their customer interactions. You will be instrumental in designing and leading the development of scalable systems, working with cutting-edge technologies, and collaborating extensively with cross-functional teams across the organization to solve high-impact problems. Note: *We operate in a flexible hybrid work model, 3 days a week in office As a Staff Engineer, you will: Design and implement scalable, high-performance backend services and APIs using Java, Spring Boot, and cloud technologies. Provide technical leadership and mentorship to other engineers, guiding them in best practices and architectural de

javaartificial intelligenceai
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CH
Cohere Health
📍 Hyderabad• Full-time
1mo ago

Opportunity Overview: We’re looking for a senior-level automation engineer who will help raise the bar on release quality, environment reliability, and change safety across Cohere’s platform. You’ll partner closely with Product, Engineering, Platform, and SRE to build scalable automation, guardrails, and validation systems that reduce production risk while increasing delivery velocity. This is not a “test scripts only” role. You’ll shape automation strategy, embed quality into the SDLC, and help define how changes move safely from dev → staging → UAT → prod in a fast-moving healthcare platform. You’ll help define how quality scales as Cohere grows. This role has real influence over release safety, platform reliability, and how engineering teams ship software in a regulated, high-impact domain. You won’t just test features — you’ll shape how Cohere delivers them safely to production. What you’ll do: Own and evolve Cohere’s end-to-end test automation strategy across UI, API, config changes, and critical workflows Design and maintain scalable E2E automation frameworks for multi-tenant, payer-specific workflows Build automated validation for deployment guardrails, release readiness, and production change safety Partner with Platform/DevOps to integrate automation into CI/CD pipelines and deployment workflows Create automated coverage for high-risk paths (authorization flows, partner integrations, file pipelines, feature flags, config changes) Drive test reliability, flake reduction, and actionable failure signals Define and enforce quality gates for prod releases, blue/green and canary deployments, and config changes Collaborate with Product and Engineering to ensure business outcomes are testable, measurable, and observable Improve test data management and environment stability to enable reliable automation at scale Mentor engineers on testability, automation best practices, and quality-first development Partner with SRE and Security to ensure production readines

typescriptawsai
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REQ ID: CSQ128R7 Location: London, United Kingdom - Remote location for candidates to be based in the United Kingdom region ONLY ( not remote from any other country) Mission The Forward Deployed AI Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services (PS) engagements to help our customers build and productionize first-of-its-kind AI applications with a focus on GenAI. We work cross-functionally with AI/ML Product, Research, and Engineering to shape long-term strategic priorities and initiatives. We are looking for a world-class leader to lead and grow our UK AI FDE team. In this role, you will lead customers on their AI/ML transformation with Databricks, push the boundaries of our product, recruit and develop top data scientists/machine learning engineers, and manage a portfolio of key EMEA accounts. You will report directly to the Director AI FDE. The impact you will have: Lead and scale a world-class AI/ML professional services team, including hiring, mentoring, and building a team structure to support long-term growth and execution at scale Develop and expand executive relationships with EMEA customers and partners (including VP+, CIO/CDO-level stakeholders), acting as a trusted advisor during complex technical engagements and AI transformations Align with Field Engineering and Sales Leaders to define joint strategies for strategic accounts and ensure strong delivery coordination across functions Lead strategic AI PS initiatives, practice development, and standardised delivery processes; design scalable engagement models and reusable solutions for repeatability across the global team Shape cross-functional collaboration by influencing Product, R&D, and GTM—ensuring voice-of-customer insights and delivery learnings help inform the product roadmap and GTM strategy Own OKRs for AI-services led accounts, revenue, utilisation, and public references Represent Databricks as a thought le

awsazuregcp
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E
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

kubernetesaiterraform
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E
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

kubernetesaiterraform
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E
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

kubernetesaiterraform
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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

kubernetesaiterraform
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E
Elastic
📍 Poland• PLN 307.8K – PLN 486.9K/yr
1mo ago

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role As part of the Observability organization and inside the Streams program, the Managed Inputs team builds high-performing backend ingestion pipelines. We collect telemetry across diverse environments—including Elastic Agents, agentless setups, OpenTelemetry collectors, and cloud sources via Elastic Cloud Forwarders—then process and store this information to power seamless, intuitive user experiences within Kibana. Elastic's Streams program is the unified platform for getting data into Elasticsearch from edge collection all the way through cloud processing. We accept any type of data generated at the edge (Elastic Agent, Elastic Classic APM Agents, Beats, any OTel SDK…) and we process and route the data to several destinations. We are building strong backend solutions for ingesting observability data. Our core focus is on building a performant, reliable, scalable, secure and maintainable backend that fulfills product requirements. We take responsibility for what we build, and therefore are also responsible for keeping the system running, and ensuring reliable quality gates and safe deployment mechanisms, as well as assisting in support cases. What You Will Be Doing Design, implement, deploy and maintain high-performing, scalable features within the different products we own, being the most critical ones Managed Inputs (mOTLP

kubernetesaiterraform
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Job Overview Wargaming is looking for a Performance QA Team Lead to join our World of Warships PC team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players. We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices. Reports to Head of QA What will you do? Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios Create and maintain test infrastructure, tools, and frameworks for QA team Maintain documentation for performance tests, tools, and testing processes Collaborate with development and other teams to analyze performance results and drive improvements Integrate and maintain performance testing within CI/CD pipelines Participate in architectural and technical design reviews from a QA perspective What are we looking for? 4+ years of experience in Performance QA, Performance Engineering, or related areas Experience in leading QA teams or technical leadership 2+ years of professional experience with Python Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis Upper-Interme

pythonai
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Job Overview Wargaming is looking for a Performance QA Team Lead to join our World of Warships PC team. In this role, you’ll lead the Performance QA team, drive performance testing and automation using Python, and help ensure the game delivers a smooth and stable experience for players. We’re looking for a technical leader with a strong and broad background in performance engineering, who can combine hands-on expertise with team leadership and help us continuously improve our performance testing practices. Reports to Head of QA What will you do? Lead the Performance QA team: task planning, coordination, mentoring, and technical guidance Define and maintain performance testing strategy, coverage, baselines, thresholds, and regression criteria Investigate performance regressions, identify bottlenecks, and drive root-cause analysis across client, backend, and system-level components Drive performance testing and automation across game client, backend services, network interactions, and system-level scenarios Create and maintain test infrastructure, tools, and frameworks for QA team Maintain documentation for performance tests, tools, and testing processes Collaborate with development and other teams to analyze performance results and drive improvements Integrate and maintain performance testing within CI/CD pipelines Participate in architectural and technical design reviews from a QA perspective What are we looking for? 4+ years of experience in Performance QA, Performance Engineering, or related areas Experience in leading QA teams or technical leadership 2+ years of professional experience with Python Strong understanding of performance engineering principles and the ability to investigate performance issues across complex systems Experience in at least one of the following areas: client performance, backend/load performance, distributed systems, or system-level performance analysis Upper-Interme

pythonai
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Location: Tokyo, Japan Req ID: FEQ427R141 Reporting to: Manager, Field Engineering Language requirements: Business-professional Japanese required; business-level English preferred Mission As a Pre-sales Solutions Architect focused on Manufacturing and Automotive, you will engage with leading global automotive manufacturers and strategic industry accounts across Japan. In partnership with Account Executives, Solutions Architects, technology specialists, partners, and customer teams, you will develop and execute technical strategies that help customers adopt the Databricks Data Intelligence Platform and achieve measurable business outcomes. You will translate complex automotive and manufacturing challenges into scalable data and AI solutions across vehicle platforms, connected-vehicle analytics, vehicle and component quality, supply-chain optimization, smart manufacturing, engineering and R&D analytics, aftersales, customer intelligence, and AI-powered applications. You will operate with a builder mindset, creating hands-on prototypes, demonstrations, and proof points that accelerate customer confidence and adoption. The impact you will have Develop and execute customer engagement strategies in partnership with Account Executives and Solutions Architects for strategic automotive and manufacturing accounts. Lead complex customer engagements across the full technical pre-sales lifecycle, including discovery, requirements gathering, solution scoping, architecture design, workshops, demonstrations, proof-of-concepts, and implementation planning. Coach account teams and peers on positioning, adoption strategies, use-case prioritization, and execution plans that deliver outcomes within a defined timeline. Influence stakeholders at all levels, from data practitioners and engineers to manufacturing leaders and C-level executives, by connecting technical decisions to business value. Act as a champion and trusted advisor for customers and colleagues on data, analytics, mach

pythonjavasql
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E
1mo ago

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE The FlashArray team builds high-performance, highly available storage solutions designed for mission-critical applications. While FlashArray is delivered as a hardware product, the majority of innovation comes from software, with most of the engineering team focused on software development. Customers value FlashArray for its simplicity, continuous delivery of new capabilities, and ability to evolve without downtime. Each FlashArray includes containerized edge services that enable cloud-like connectivity, management, and extensibility. This role focuses on integrating edge services into the FlashArray platform, combining software engineering with Linux-based systems expertise . WHAT YOU'LL DO Analyze and solve complex technical challenges with a thoughtful and persistent approach Design and implement algorithms and technologies for high-performance, highly reliable systems Own and deliver features end-to-end, from concept through production Collaborate with teammates to build and improve systems together Contribute to customer-focused solutions that prioritize reliability and ease of use Continuously learn and grow within a supportive engineering environment We are primarily an in-office environment and therefore, you will be expected to work from the Prague office in compliance with Pure’s policies, unless you are on PTO, or work travel, or other approved leave. WHAT YOU BRING Experience across the software develo

pythondockerlinux
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