We are seeking a Senior Solutions Architect to join our Lakewatch team in London. As a Senior Solutions Architect, you will provide technical leadership to guide strategic customers to successful implementations on big data projects, ranging from architectural design to data engineering to model deployment.
\nCollaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory, driving Lakewatch adoption from initial data offload through full SIEM augmentation or replacement.
\nAs a trusted advisor, serve as an expert Solutions Architect building technical credibility with CISOs, security architects, SOC leadership, and security analysts to drive product adoption and vision.
\nEnable clients at scale through workshops, POC execution, and developing customer-facing collateral that increases technical knowledge and demonstrates the value of an open agentic SIEM architecture.
\nInfluence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams.
\nHandle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical security environments.
\nEstablish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction for R&D.
\nThe ideal candidate will have 5+ years of experience in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level security strategy and product adoption.
\nExperience with design and implementation of data and AI applications in cybersecurity, including anomaly detection, behavioral analytics, and agentic AI workflows for triage and investigation.
\nProficient in programming, debugging, and problem-solving using SQL and Python and with AI tools.
\nExperience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes in cybersecurity.
\nHands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP), with an understanding of cloud-native security logging and monitoring.
\nDeep experience in security operations, with broad familiarity across one or more of the following: data engineering, data warehousing, AI/ML for security, data governance, and streaming.
\nUndergraduate degree (or higher) in a technical field such as Computer Science, Cybersecurity, Applied Mathematics, Engineering or similar.
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\nZuma is pioneering the future of agentic AI and our focus is to transform the rental market experience for consumers and property managers alike. Our innovative platform is engineered from the ground up to boost operations efficiency and enhance support capabilities for property management business across the US and Canada, a ~$200B market.
\nOff the back of our Series-A in early 2024, Zuma is scaling rapidly. Achieving our vision requires a team of passionate, innovative individuals eager to leverage technology to redefine customer-business interactions. We're on the hunt for exceptional talent ready to join our mission and contribute to building a groundbreaking technology that reshapes how businesses engage with customers.
\nAs a Staff Engineer, you will:
\nHelp define how humans collaborate with intelligent systems in one of the largest and most underserved industries in the world: property management. You’ll shape the technical foundation of a platform that is not just supporting human workflows, but executing them autonomously through AI agents. This is a rare opportunity to influence how an entire industry evolves, building tools that transform repetitive operational tasks into seamless, intelligent experiences.
\nYour work will directly contribute to how trust is built between humans and machines, how operations scale without added headcount, and how residents and staff experience a new, AI-powered standard of service. We’re not just building software we’re designing AI that people want to work with. Delightful, trustworthy, and deeply effective.
\nJoin us to help lead the AI revolution in multifamily, drive meaningful real-world impact, and be part of reimagining what work can feel like when done side-by-side with intelligent agents.
\nYou will be a cornerstone of our engineering organization, reporting to the VPE. This is a pivotal role where you'll lead critical system rewrites, architect scalable foundations for our AI platform, and establish the technical standards that will shape our engineering culture for years to come.
\nYou'll work at the intersection of cutting-edge LLM technology and practical business applications, creating sophisticated systems that power our AI leasing agent while building self-serve experiences that enable rapid customer onboarding.
\nAs our first US-based engineer, you'll bridge the gap between our product vision and technical implementation. This role offers a rare opportunity to directly influence how we architect the next generation of our platform.
\nYou'll tackle projects like rebuilding our onboarding/configuration system to be self-serve, creating robust analytics infrastructure to measure AI performance, and reimagining our integration framework to connect seamlessly with customer systems.
\nYour work will significantly reduce manual engineering overhead while enabling rapid scaling of our customer base.
\nWe're looking for a Staff Engineer to help us bring that future to life. This is not just another dev role. You'll be hands-on shaping the technical DNA of Zuma. You'll architect critical systems, tame legacy code, build net-new AI-powered experiences, and lay down the patterns future engineers will inherit.
\nIf you're obsessed with building real products people use, especially products powered by LLMs, this might be your playground.
\nWhy This Could Be Your Dream Role
\nWhy You Might Want to Think Twice
\nResponsibilities
\nYour Experience Looks Like
\nGuiding Principles
\nEvery commit should trace back to resident or operator value. Whether it’s a new feature, infra investment, or AI capability, if it doesn’t solve a real problem, it doesn’t ship.
\nWe favor composable primitives over clever abstractions. Open standards, clean APIs, and clear contracts win over custom complexity, even if the custom version is cooler.
\nQuality is built-in from day one. Our definition of done includes: test coverage, performance checks, basic observability, and internal docs. Shipping fast doesn’t mean skipping craftsmanship.
\nWe use data to guide, not paralyze, our decision-making. We track leading indicators (cycle time, defect rate, NPS) and lagging signals (retention, revenue impact). We keep instrumentation lightweight but meaningful signal over spreadsheet.
\nGood ideas don’t expire in Zoom. We operate in public i
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\nYou'll help property managers succeed with our AI platform while also driving continuous improvements in our internal tools and processes.
\nResponsibilities:\nLead critical system rewrites to transform our architecture into a highly scalable, resilient foundation\nOwn the design and performance optimization of our data storage systems, ensuring they scale with customer and AI demands\nBuild and evolve our deployment pipelines, enabling reliable, automated releases for AI-first products\nSet up and manage modern cloud infrastructure from scratch, leveraging Infrastructure as Code (IaC) to ensure consistency, security, and scalability\nEstablish engineering best practices, including observability, incident response processes, and system hardening for an AI-first platform\nDrive robust analytics and monitoring to track performance, reliability, and the effectiveness of our AI solutions\nMentor engineers and elevate the team's capabilities across infrastructure, scalability, and AI product development
\nYour Experience Looks Like:\nBachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field\n3+ years of experience building production-grade software systems, with a focus on scalability, performance, and reliability\nProven expertise in backend development with Node.js, including API design, system architecture, and cloud-based services\nExperience with cloud infrastructure (AWS, GCP, or similar) and deploying production systems using Infrastructure as Code (e.g., Terraform, Pulumi)\nHands-on experience with database design, performance tuning, and scaling high-throughput data systems\nFamiliarity with building and maintaining CI/CD pipelines, automated testing, and modern DevOps practices\nStrong communication skills and ability to work effectively in a distributed, fast-paced environment\nComfortable operating in early-stage, high-ownership environments with evolving requirements\nBonus: Experience with React and TypeScript on the frontend, though this role leans backend/infrastructure\nBonus: Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows
\nGuiding Principles:\nCustomer‑First Outcomes\nBias for Simplicity\nQuality Is a Gate, Not an After‑Thought\nData‑Driven Choices\nTransparency & Written Culture
\nOther Benefits:\nGreat health insurance, dental, and vision\nGym and workspace stipends\nComputer and workspace enhancements\nUnlimited PTO\nOpportunity to play a critical role in building the foundations of the company and Engineering culture
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\nYou are a dynamic engineer with working experience in RTL implementation, DFT, verification, flow automation and understanding of 3DIC solutions and UCIe protocols. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them at our premier customer base. Your technical excellence and analytical skills, coupled with strong communication and interpersonal skills, make you an asset to any team.
\nKey responsibilities include:
\nWorking closely with a world-class R&D team, you’ll be at the center of developing and bringing an end-to-end solution to our wide variety of customers in the domain of Silicon Lifecycle Management (SLM) and 3DIC technologies.
\nWorking closely with customers, you will bring detailed requirements into the factory to enable R&D for strong, robust, and successful product development.
\nWorking closely with product development team, you will validate an end-to-end solution both internally (before shipment) as well as in customer environment.
\nDriving the deployment and smooth execution of SLM solutions into customers’ projects.
\nEnabling customers to realize the value of silicon health monitoring in the context of 3DIC systems throughout the lifecycle of silicon bring-up, validation, through in-field operations.
\nThe impact you will have includes enhancing Synopsys’ Silicon Lifecycle Management (SLM) and 3DIC solutions’ IP portfolio and end-to-end solution especially in the growing field of multi-die (3DIC) domain, driving the adoption of Synopsys’ SLM and 3DIC solutions at premier customer base worldwide, and influencing the development of next-generation SLM IPs and solutions.
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\nYou are a dynamic engineer with working experience in RTL implementation, DFT/BIST, verification, flow automation, and understanding of hierarchical SoC architectures and IEEE1149/1500 and 1687 standards and pattern porting. You should have a passion for working with the best of the brains in the industry in developing end-to-end solutions and deploying them in our premier customer base.
\nWhat You'll Be Doing:
\nThe Impact You Will Have:
\nWhat You'll Need:
\nBSEE/MSEE in Electrical Engineering, Computer Engineering, or related field.
\n8 years of hands-on experience with DFT/BIST insertion, RTL design, and functional verification.
\nGood exposure to JTAGIEEE 1149.1, IEEE 1687/1500, Testdata access mechanism.
\nKnowledge on memory defectivities soft errors and reliability.
\nFamiliarity with error correcting codes such as Hamming and Hsiao.
\nHands-on experience in dealing with hierarchical SoCs, 1149.1/1500/1687 standards and pattern porting.
\nFamiliarity with either Synopsys TestMAX Tool chain or competitive offerings.
\nDebugging abilities to identify and resolve issues in functional verification in UVM environment.
\nHands on experience in flow automation.
\nKnowledge of Synthesis is a must with understanding of timing constraints (SDC).
\nKnowledge of Lint, CDC, RDC is a plus.
\nKnowledge of physical implementation is not a must, but good to have.
\nAbility to evaluate technical suggestions from customers and work with internal teams (product management/R&D) to make decisions.
\nCustomer facing experience is a plus – educating/guiding customer on technical details of a solution.
\nGood to have:
\nHands-on bring-up and debug experience of silicon is a plus.
\nArchitecture/micro-architecture experience.
\nUnderstanding of GenAI and Agentic AI workflows.
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\nResponsibilities:
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\nWhat you will get:
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