Specialist Solutions Architecture Jobs

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. About the Role The AI revolution is here, and enterprises are racing to adopt GenAI—but they cannot deploy what they cannot secure. Zscaler is seeking an experienced Principal AI Security Specialist to bridge the gap between cutting-edge AI innovation and robust enterprise security. In this highly strategic, field-facing role, you will combine the elite consultative strengths of a Solutions Engineer with deep expertise in LLMs, RAG architectures, and data protection. As our premier technical authority, you will partner with Fortune 500 executives and architects, serving as a trusted advisor to help them confidently unlock the power of AI without compromising their data or infrastructure. If you are a builder, an educator, and a master storyteller who thrives in a fast-evolving market, this is your chance to lead the industry's most critical conversation. What You’ll Do Architect the AI Technical Strategy: Partner with

FEQ425R219 The Sr. Manager, Field Engineering (Specialist) will lead a team of Partner Solution Architects. As you help mature our consulting & SI partner development function, you will provide technical guidance for practices at our consulting partners that span pre-sales teams and their data analytics delivery organizations. Your experience and influence, will help accelerate Customer Success and Databricks DBU consumption through a global partner ecosystem. You will guide and enhance your team's effectiveness; be an expert at communicating complex, outcome-based results that drive consumptions and help our joint customers achieve their desired outcome. The impact you will have: You will grow a team of Partner Solutions Architects for a company in high-growth mode. Crush your OKRs! - by making sure our partners know how to build a comprehensive technical point of view to establish the lakehouse architecture across a wide array of their customers, identify valuable business-impacting offers and guide the adoption of the Databricks platform into partner solutions. This will establish partners as trusted advisors by having strong capability and Databricks practices. Lead a team to make partners grow their practice by driving priorities alongside partner sales and partner alliances along with the other databricks technical functions (Specialist, Professional Services, and Product) Establish relationships across the business to make your partners and our customers successful. Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values Drive Customer Success and DBU consumption through consulting partners Display a deep understanding of a consulting services business needs, revenue potential, escalation management and project-portfolio management as it relates to enterprise data transformation initiatives What we look for: Experience hiring and managing field or technical teams from scratch at hyper-growth spe

FEQ128R6 At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout France, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build in

About the Team & Role Rubrik's Product Line Sales organization drives focused growth across Rubrik's specialized workloads, including our SaaS data protection and security portfolio (Microsoft 365, Google Workspace, Salesforce, and other critical SaaS applications). This team partners closely with core Account Executives, Sales Engineers, and Customer Success to bring deep product and technical expertise into every SaaS opportunity — from first conversation through technical validation to close. We're hiring a SaaS Product Line Sales Specialist to own and accelerate Rubrik's SaaS data protection business within a defined territory. This is a highly technical, quota-carrying overlay role: you'll be the subject-matter expert who can go deep on tenant architecture, identity and access models, backup and recovery mechanics, and the shared responsibility model — and use that fluency to win deals against SaaS-native point solutions. The ideal candidate has sold in this exact space before, at a company like AvePoint, CoreView, or Keepit, and understands both the buyer and the competitive landscape intimately. What You’ll Do Own the SaaS product line number: partner with core Account Executives to identify, qualify, and close SaaS data protection and security opportunities across net-new and existing accounts. Lead with technical credibility: articulate Rubrik’s SaaS architecture, security posture, and the gaps in Microsoft’s and Google’s native shared responsibility model in a way that resonates with both technical and business buyers. Drive technical discovery and validation: run or co-lead discovery calls, demos, and proof-of-concept engagements for M365, Google Workspace, and Salesforce workloads alongside Sales Engineers. Win competitive deals: build and defend positioning against SaaS-native vendors (AvePoint, CoreView, Keepit, Veeam, Druva, and similar), translating technical differentiation into business value. Build territory and account plans: develop a covera

FEQ427R341 At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data & Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! The impact you will have: Form successful relationships with clients throughout Italy, providing technical and business value to Databricks customers in collaboration with Account Executives. Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform. Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the Databricks community in your region by leading workshops, seminars, and meet-ups. Grow your knowledge and expertise to the level of a technical and/or industry specialist. What we look for: Engage customers in technical sales, challenge their questions, guide clear outcomes, and communicate technical and value propositions. Develop customer relationships and build i

SLSQ227R148 As Partner Sales Director for Manufacturing & Energy, you own the partner go-to-market strategy for the vertical — architecting joint solutions with our most strategic partners, building durable pipeline, and holding partners accountable to execution that converts to partner-sourced and partner-influenced consumption. This is a highly visible, strategic role: you set the agenda across Sales, Field Engineering, Marketing, Partner Solution Architecture, and the partner ecosystem, and you carry Databricks' Manufacturing & Energy partner narrative to senior partner and customer executives. You will own and grow relationships with strategic partners across the vertical — including global and regional systems integrators such as Accenture, Deloitte, Capgemini, and IBM, and specialist data and AI partners — and you bring deep industry knowledge and an operator's mindset powered by modern AI tooling. Reporting to the Senior Director, Partner Sales. The impact you will have: Build and own the pipeline engine — architect the Manufacturing & Energy partner GTM strategy and convert it into durable, partner-sourced and partner-influenced pipeline and consumption across the vertical. Drive partner execution and accountability — hold strategic SI/ISV partners to joint commitments; inspect co-sell motions rigorously and remove friction so partners execute effectively against shared pipeline and revenue goals. Lead solution development with partners — co-create differentiated, industry-specific joint solutions, accelerators, and repeatable GTM plays that pair partner capability with the Databricks platform to solve high-value Manufacturing & Energy use cases. Run a disciplined operating cadence — pipeline reviews, forecast, and KPI inspection anchored to Salesforce as the system of record; report impact, not activity. Own the executive relationship and narrative — build joint business plans and executive-ready narratives, and represent Databricks credibly

About the Team The AI Architect team partners with organizations to turn OpenAI's most capable models into meaningful, real-world impact. We work with customers across industries and digital-native businesses to identify where AI can create value, design secure and scalable solutions, and help those solutions move from early exploration into sustained production adoption. The team brings together technical strategy, customer partnership, and practical deployment expertise, working closely with Sales, Product, Engineering, Research, and specialist delivery teams. Within the team, Partner Applied AI Architects work with strategic partners—including global and regional system integrators, consulting and advisory firms, and technology partners—to extend OpenAI’s technical reach and help partners deliver high-quality AI solutions for our joint customers. We bring together technical strategy, partner enablement, architecture expertise, and practical deployment experience, working closely with Partnerships, Sales, Product, Engineering, Research, Security, and specialist delivery teams. About the Role As a Partner Applied AI Architect , you will be a senior technical advisor to a portfolio of strategic partners and the primary technical counterpart to their leadership and delivery organizations. You will shape how partners build practices around OpenAI, develop solutions using our products, and take joint customers from AI opportunity and technical evaluation through production adoption and measurable business impact. You will own the technical strategy and architecture across partner engagements involving ChatGPT Enterprise, the OpenAI API, Codex, and other agentic AI solutions. In close partnership with the Revenue Partnerships team, you will translate joint business priorities into technical strategies, solution patterns, enablement plans, and a focused portfolio of high-value customer opportunities. You will work directly with partners on strategic customer engagements—

About Us DoorDash Labs, established in 2018, serves as the innovation hub for DoorDash, focusing on developing automation and robotics solutions to enhance last-mile logistics. The team's mission is to create technologies that support and augment human networks, aiming to improve efficiency for Dashers, merchants, and consumers alike. We’re ruthlessly focused on business impact. We are a highly senior team composed of former pioneers from a variety of different robotics industries. As of 2025, DoorDash has completed 10B lifetime deliveries. We’re focused on how to do the next 10B even better. Role Overview We’re looking for a mechanical engineer who designs and builds connected consumer and enterprise devices, including SmartScale, lockers, POS systems, and hardware for emerging automation and robotics applications. In this role, you will help define what to build and own mechanical development from ambiguous user or business needs through architecture, rapid prototyping, and field pilots. This is a build-heavy role on a small, senior, multidisciplinary team. You'll work directly with suppliers, supported by an NPI/program partner, and provide mechanical leadership during new product introduction (NPI). Specialist reliability expertise can support deeper validation as programs mature. San Francisco-based candidates are preferred; hybrid arrangements are acceptable. The role includes hands-on collaboration around prototypes and lab work. Key Responsibilities Help define product requirements and features from customer needs and business priorities. Explain trade-offs among user experience, performance, cost, reliability, and development time. Build prototypes for new product ideas, partner on pilot design, and turn findings from real use into requirements and designs for larger pilots. Communicate what was learned and what should happen next. Create CAD, drawings, and physical prototypes; choose materials, components, and fabrication methods ap

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 Elastic is looking for a Sr. Salesforce Engineer & Dev Ops Specialist who combines deep architectural intuition, clean coding, and sharp debugging skills with an AI-native workflow (Cursor, Claude Code, Codex). You will serve as the technical backbone of our Salesforce ecosystem—owning the release lifecycle, managing GitHub administration, git automation, and CI/CD pipelines, while facilitating engineering practices across Certinia PSA, CPQ/ARM, AI initiatives, and cross-functional enterprise projects. Balancing hands-on platform development with release engineering, you will streamline revenue processes and scale architecture to deliver high-quality, reliable production solutions. What You Will Be Doing Dev Ops & Release Engineering: Lead end-to-end Dev Ops operations, including GitHub administration, git automation, branching strategies, CI/CD pipeline optimization, scratch org/sandbox management, backup strategies, and release governance. Full-Stack Salesforce Development: Design and build full-stack features—UI, APIs, business logic, data models, and integrations—using LWC, Apex, SOQL/SOSL, Flows, and modern REST/event-driven patterns. Core Business Platforms: Drive technical design and development across Certinia PSA, CPQ/ARM, and cross-functional enterprise initiatives. AI-Native Engineering: Utilize AI tools (Curso

CAPCO POLAND *We are looking for Poland based candidate. At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management. Build resilient integration and workflow solutions at the intersection of capital markets, modern technology and digital assets. The Role As a Senior Integration & Workflow Engineer , you’ll provide specialist engineering services focused on designing and developing custom integration and workflow-orchestration components connecting capital markets platforms, blockchain infrastructure and market infrastructure. Design and develop custom integration and workflow-orchestration components connecting capital markets entity’s platforms, Blockchain infrastructure and market infrastructure. The scope includes delivering resilient, secure and auditable services supporting pre-trade validation, transaction orchestration, settlement processing and downstream system integration.. What You’ll Do Design and develop custom middleware and workflow-orchestration services Build REST/API-based integrations with internal and third-party platforms Implement transaction and workflow state management, including multi-step processing across systems Develop orchestration logic for Pre-Trade Gateway, DvP/settlement and downstream integration flows Implement validation, routing, reservation/earmark and transaction-processing logic Develop adapters and integration services for external platforms and market-infrastructure systems Implement idempotency, retry, queueing, replay and recovery patterns for resilient transaction processing Implement asynchronous/event-driven processing where required by detailed architecture Build robust exception handling, error classification and operational statu

About Snorkel Snorkel AI is the frontier AI data lab, helping teams build the data and environments behind high-performing frontier and agentic AI. We combine technology with research-driven AI data development to create datasets, benchmarks, evals, and custom solutions for real-world AI systems. Founded out of the Stanford AI Lab in 2019, Snorkel works with leading AI labs and enterprises to move from better data to better outcomes. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! Director, GTM Systems & AI Transformation Reports to: VP, Revenue Operations Team: Senior GTM Transformation Specialist, Senior GTM Engineer Location: San Francisco About the Role Snorkel AI's Revenue Operations team designs, builds, and runs the systems, data, and processes that power our Go-to-Market motion. The Director, GTM Systems & AI Transformation leads that effort end-to-end — from systems architecture to workflow automation to AI-enabled process innovation — and manages a small, high-leverage systems team. This is a hands-on leadership role for someone who can own the technical roadmap and transform the GTM motion. You'll partner directly with Sales, Delivery, Marketing, Finance, and Legal to make sure our systems reflect how the business actually needs to run, and you'll be a trusted business partner to every team you touch. What You'll Own Systems Strategy & Architecture Partner with GTM leaders to define and evolve the systems architecture strategy across Sales, Delivery, Customer Success, Marketing, and more Set the roadmap for Salesforce and the broader GTM stack (Gong, Clay, Ironclad, Float, CPQ, billing/revenue automation, and future tooling) Own Salesforce architecture, data integrity, and data hygiene as the foundation of the role — new automation and AI initiatives get built on top of a clean, well-governed baseline Own vendor relationships and renewals across the GTM stack Team Leadership Manage and

Senior React Native Mobile and Full Stack Developer Description - We are seeking a highly skilled Senior React Native Mobile and Full Stack Developer to design, develop, and maintain secure, scalable, enterprise-grade mobile applications for iOS and Android , as well as the cloud services and APIs that support them. The ideal candidate brings extensive experience building production-ready cross-platform mobile applications with React Native , combined with strong backend and cloud development expertise using object-oriented programming languages such as C#, Java, Python, or Go to deliver secure, end-to-end solutions. This role requires deep expertise in mobile authentication , secure storage , offline-first architecture , data synchronization , push notifications , GPS/location services , and mobile security best practices , as well as experience designing and developing RESTful APIs , integrating with cloud platforms such as Microsoft Azure, or AWS , and building scalable backend services. You will work closely with Product Managers, UX Designers, Security Architects, Backend Engineers, and QA teams to deliver high-quality, mission-critical mobile solutions used by enterprise customers worldwide. The ideal candidate is a hands-on specialist who is passionate about building high-quality software, driving architectural decisions, mentoring engineers, and delivering reliable, secure, and performant mobile experiences across the full technology stack. Key Responsibilities Design, develop, and maintain secure, scalable, and high-performance cross-platform mobile applications using React Native for both iOS and Android . Design, develop, and maintain backend APIs , cloud services, and supporting infrastructure that

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Supply Chain Data Engineer & Integration Specialist, Amsterdam Adyen is looking for a Supply Chain Data Engineer & Integration Specialist to join our team in Amsterdam. This high-impact role is positioned at the center of our operational systems landscape. You will own the technical architecture and data pipelines connecting our new Enterprise Performance Management (EPM) platform, Pigment, with our broader enterprise layers (Workday, Salesforce, Big Data Platform, Looker) and our global third-party logistics (3PL) warehouse networks. This is an exceptional opportunity to build sustainable, long-term technical capability within our Supply Chain function. You will lead the technical integrations for upcoming warehouse expansions in key growth markets, directly enabling business expansion. What you’ll do Build & Maintain Data Pipelines: Architect, implement, and monitor robust, production-grade data pipelines that feed our planning platforms, ensuring that clean operational data reliably reaches Pigment in the exact shape required. Industrialize POC Integrations: Take our initial automated prototype connections and harden them into scalable, secure, and production-ready enterprise integrations. Integrate Key Enterprise Systems: Establish and maintain seamless system-to-system connections linking Pigment with Workday (Finan

About the role As a Forward Deployed Engineer (FDE) focused on Inference & Post-Training, you will be a hands-on technical partner to our most strategic customers — production AI teams looking to leverage high quality models and do inference at scale. For us, FDE is not a replacement for a Solutions Architect; you will partner with our SAs as a deep-domain specialist in inference optimization, fine-tuning pipelines, and production deployment. As key contributors to both the CX, Engineering, and Sales organizations, FDEs add tremendous value by ensuring we can meet the requirements of our most complex POCs, facilitate successful platform adoption, and guide tailored optimization efforts — directly impacting customer success, company growth, and the hardening of our core platform. Must be a permanent resident or citizen of Singapore. Responsibilities Inference Engine Optimization: Select, configure, and optimize inference engine based on hardware, model architecture, and workload profile Configuration & Performance Tuning: Develop configuration updates to win critical POCs, benchmarks, and optimize customer deployments; tune KV cache, apply speculative decoding, determine optimal tensor parallelism, and determine quantization strategy to hit throughput and latency targets. Post-Training & Fine-Tuning: Drive hands-on RL training runs and optimize system design; guide customers through LoRA, SFT, DPO, RLHF, and GRPO pipelines from experimentation through production. Strategic Customer Alignment: Act as the primary technical point of contact for aligned strategic accounts — monitoring and optimizing endpoint configurations, helping customers get the most out of the platform, and collaborating to ensure we hit critical milestones. Opinionated Onboarding: Establish direct alignment with strategic customers at onboarding; ensure the right inference and post-training configurations are in place from day one to improve time-to-value. Product Feedback Loop: D

Role Overview Own the end-to-end technology strategy and roadmap for the Partner, Customer success, Professional Services and Customer Support organizations, translating business objectives into scalable, AI-native platforms. Lead a small team of Product Managers while staying hands-on across solutioning, architecture, and delivery. We are looking to speak to candidates who are based in Palo Alto for our hybrid working model. Key Responsibilities Partner Technology Own the Partner Center technology roadmap spanning cloud provider integrations, partner attribution & telemetry, and incentive/MDF management Drive build-vs-buy decisions for the Partner platform in direct partnership with Partner leadership Deliver solutions that support the full partner lifecycle: onboarding, co-sell, information sharing, support, progress tracking, and program management across Resellers, Technology Partners, ISVs, and Cloud Marketplaces Align partner technology with Sales, Partner Ops, and Partner Specialist workflows Customer Success Technology Own the Customer Success technology stack supporting CSMs across the full customer lifecycle: onboarding, adoption, expansion, and renewal Partner with Customer Success leadership to translate business objectives into scalable tooling and automation Enable CSM productivity through health score visibility, account intelligence, and proactive risk alerting Ensure tight integration between Customer Success platforms and Sales, Support, Billing, and Product systems Drive adoption of AI-assisted workflows for CSMs including next-best-action recommendations, sentiment signals, and churn risk indicators Customer Support Technology Own the Customer Support technology stack to enable customer support team with right tooling, including AI/agentic infrastructure, ETL/data pipelines, Workforce Management, and customer engagement tooling (chat, voice, workflow automation) Partner with Technical Support, Customer Success, and Professional Services to al