Cacheflow

Mission Databricks' Finance team is looking for an experienced and proactive global stock plan administrator to assist with the development and scaling of a world-class equity program. The successful candidate will work with the Senior Manager of Stock Administration and be responsible for hands on, end to end administration of Databricks's global equity plans on Shareworks Private Market solution (including but not limited to options, RSUs and warrants). The ideal candidate will have at least 6 years of private and public company experience and be exceptionally organized, responsible, detail oriented, and resourceful. Responsibilities Administer the company's equity plans for all employees globally. Work closely with the internal tax and payroll team regarding global plan management, including tax withholding, compliance, and related matters. Process and manage all stock transactions for the global workforce and tax payments associated with each transaction. Provide a superior level of customer service to employees, management, and others. Support employee understanding of equity awards and company programs, and policies by providing live and recorded presentations to new and existing employees. Assist the Stock Admin Manager in working with inside and outside counsel to monitor global compliance developments for our global stock plan. Perform data entry and manage daily and cyclical stock administration processes for grants, stock option exercises, terminations, and leaves using Shareworks private company platform. Understand and have working knowledge and experience in the application of accounting rules associated with stock based compensation (ASC 718). Prepare monthly reconciliations of option grants, exercises, RSU releases, grant cancellations, and outstanding share balances. Assist the Stock Admin Manager with global reporting requirements to ensure compliance with each jurisdiction's rules and regulations. Prepare custom reports and reconciliations to assist in the review of equity and transaction data. Assist in providing supporting documents for internal/external SOX auditors and respond accurately, thoroughly, and timely to requests for data. Perform other duties and ad hoc requests as requested. Maintain an effective partnership with internal Legal, Finance, Tax, Payroll, and People Ops. Qualifications 6+ years of relevant experience in the administration of global equity plans (ideally for both private and publicly traded U.S. companies). Bachelor's degree required, CEP Level III, or equivalent certification preferred; minimum of CEP Level I required. Strong working knowledge of stock plans and various equity award types. General understanding of equity taxation. An expert in the use of Shareworks and Excel (pivot tables, V lookups). Track record of effectively collaborating with cross functional groups (e.g., Finance, Legal, Accounting, Payroll, HR). Demonstrated experience working directly with Shareworks and other major third party equity software systems and brokerage firms. Workday experience. Demonstrated analytical abilities and Excel skills. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks is seeking an experienced global stock plan administrator to oversee end-to-end administration of our equity programs on Shareworks Private Market. The role requires 6+ years in private/public company equity planning, with strong Excel and Shareworks expertise. You will partner with Tax, Payroll, Legal, and Finance to ensure tax withholding, compliance, and accurate reporting across jurisdictions. This position offers international scope and a dynamic global team environment.

Cacheflow is seeking a Forward Deployed Engineer in the Greater London area to work with customers on data and AI challenges. You will lead the architecture and deliver production-grade systems while ensuring the solutions are aligned with customer needs. The ideal candidate has extensive experience in data engineering, familiarity with cloud ecosystems, and a passion for customer success. Join us to drive impactful solutions with a focus on integration and transformation.

Cacheflow is looking for a Solutions Architect based in Greater London to lead technical client engagements and drive product adoption. The role requires over 10 years of experience in transactional databases and a proven track record in pre-sales or consulting roles. The ideal candidate should be proficient with SQL and Python and possess strong cloud platform experience. Benefits include a comprehensive perks package aimed at supporting diverse employees.

Menlo Ventures is seeking an AI Engineer - FDE to join their Forward Deployed Engineering team. This role involves developing cutting-edge GenAI solutions and collaborating across teams to influence product direction. The ideal candidate will have experience building GenAI applications, a strong data science background, and a graduate degree in a quantitative field. Join us to be part of a diverse team committed to innovation in AI!

CSQ327R39 As a Forward Deployed Engineer (FDE) for the Emerging Enterprise & Digital Natives business in EMEA, 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 Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs. Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues. Customer Immersion: Embed with customer teams, engaging with stakeholders from technical ICs to executives to deeply understand challenges and deliver impact. Reusable Assets & Scale: Contribute accelerators, frameworks, and best practices that scale impact across accounts and influence the Databricks product roadmap. What we look for: Extensive experience in data engineering, data platforms & analytics, or software engineering Comfortable writing code in either Python, Scala, JavaScript/TypeScript, and modern frameworks Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/AI models, and user-facing interfaces. Experience with technical project delivery - managing scope, timelines and measurable outcomes, translating complex concepts into actionable solutions. Documentation and white boarding skills. Experience working with Emerging Enterprise & Digital Natives businesses, and managing conflicts across a broad stakeholder range Build skills in technical areas, and demonstrate curiosity, adaptability, and eagerness to explore new technologies which support the deployment and integration of Databricks based solutions to complete customer projects. Travel to customers 20% of the time Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Job Overview The Solutions Architect (Lakebase) team executes on Databricks' strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritised product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product line in a meaningful way. Core Technical Competencies 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre sales, with a proven track record of designing and delivering client facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritise roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale out methods, identity and security management, migrations (vendor-to-vendor, on prem to cloud). Impact You Will Have Collaborate with GTM leadership and account teams to design and execute high impact engagement strategies across your territory. As a trusted advisor, serve as an expert Solutions Architect and champion, building technical credibility with stakeholders to drive product adoption and vision. Enable clients at scale through workshops and developing customer facing collateral that helps increase technical knowledge and thought leadership. Influence product roadmap by translating field derived, data driven insights into strategic recommendations for Product and Engineering teams. Handle 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 environments. Competencies & Responsibilities 6+ years in a customer facing, pre sales or consulting role influencing technical executives, driving high level data strategy and product adoption. Proven ability to co plan large territories with Account Executives and operate in a highly coordinated, cross functional effort across GTM and R&D teams. Experience collaborating with Global System Integrators (GSIs) and third party consulting organisations to drive customer outcomes. Proficient in programming, debugging, and problem solving using SQL and Python. Hands on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast paced, customer facing environments. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks in London seeks a Senior Specialist Solutions Architect (ML & AI) to serve as the trusted technical ML/AI expert for customers and Field Engineering. You will partner with Solution Architects to guide enterprise clients in architecting production-grade ML/AI applications on the Databricks Data Intelligence Platform, while mentoring peers and shaping AI thought leadership. This role requires deep hands-on experience with ML, MLOps, GenAI, and a passion for sharing knowledge and driving

ReqID: FEQ327R501 Location: London Skills: Data Science, Machine Learning, AI, LLM, GenAI Mission As a Senior Specialist Solutions Architect (ML & AI), you will serve as the trusted technical ML and AI expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader. Impact you will have Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services. GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, agentic systems (including tool calling, multi agent orchestration, and guardrails), AI observability, and natural language querying of structured data. Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep drive sessions, and aligning AI solutions with complex customer business challenges. Product Influence: Collaborate cross functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap. Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons. What we look for Experience: 10+ years of hands on industry DS/ML experience, with a focus on either: ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML model performance. Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine tuning, and deployment tools (e.g., HuggingFace, Langchain). Hands on experience working with Distributed Spark based systems Experience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer facing experience would be preferred Preferred: Experience working with Apache Spark (TM) to process large scale distributed datasets Communication: Proven ability to communicate and teach complex technical concepts to both technical and non technical audiences. Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI. Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience. Can meet expectations for technical training and role specific outcomes within 3 months of hire Can travel up to 30% when needed Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking for a talented AI Security Researcher to join our team and play a critical role in Wiz's foundational, risk-driven approach to cloud security. This role requires deep technical research into complex cloud- and AI-native environments to identify the most significant, unaddressed risks. WHAT YOU'LL DO Conduct deep technical research to discover and report novel risks and attack vectors specific to modern cloud- and AI-native architectures and systems. Discover and articulate the highest unaddressed risk areas, working with Product and Engineering teams to translate research into product capabilities. Define necessary foundational product capabilities by delivering both compelling proofs of risk (demonstrating impact) and technical POCs (showing how to solve it). Work closely with Product and Engineering teams to ensure comprehensive risk coverage and support the investigation of new and complex product scope. WHAT YOU'LL BRING 5+ years of hands on experience in security or security research, specifically relevant to modern cloud environments (AWS, GCP, Azure, Kubernetes, etc.). Strong hands on skills with scripting languages (e.g., Python, Go) for automation and research, as well as query languages (e.g., KQL, SQL) for efficient data analysis of security telemetry. Proven ability to work independently, prioritize effectively, and drive complex, multi quarter research projects from initial concept through to clear, delivered impact. Excellent written and verbal communication skills, with a track record of successfully collaborating with cross functional teams (e.g Product, Engineering, Marketing) to achieve shared goals. ADVANTAGE Specialized knowledge or research experience in AI security, focusing on risks to AI as deployed in the enterprise. Experience in public facing work, such as presenting at recognized industry conferences, authoring technical blog posts, or publishing research. Experience conducting data driven research and working with large scale security telemetry to derive statistically significant or high impact findings. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy and that you consent to the retention of your application for consideration for future opportunities at Wiz. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Cacheflow is hiring an AI Security Researcher in Greater London to conduct deep technical research focusing on modern cloud environments. This role requires over 5 years of experience in security research and hands-on skills in scripting languages. You will identify unaddressed risks and work with cross-functional teams to drive product innovations. Candidates must have strong communication abilities and a proven track record in managing complex research projects. Cacheflow values collaboration and innovative thinking in a dynamic environment.

Cacheflow is seeking a skilled AI Security Researcher to enhance our cloud security approach. You will conduct deep technical research to identify risks in cloud and AI-native systems, collaborate with Product and Engineering teams, and drive research projects to tangible outcomes. A minimum of 5 years in security research, strong scripting and communication skills are required. Candidates must have the right to work in the UK without sponsoring. We promote equal opportunities in our hiring process.

Cacheflow is seeking an experienced Expert Backend Engineer to join our expanding R&D team in Greater London. In this role, you will focus on developing and maintaining large-scale backend components for our cloud security platform. The ideal candidate will have over 8 years of experience in backend engineering, expertise in cloud platforms like AWS and GCP, and a strong grip on microservices architecture. This position offers an opportunity to be part of a rapidly growing environment committed to security and innovation.

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 45% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking for an experienced Expert Backend Engineer to join our expanding R&D team and help drive the growth of Wiz. In this role, you'll be responsible for developing and maintaining large-scale distributed components that power Wiz. We're looking for candidates who are passionate about tackling scaling challenges and take pride in writing clean, efficient, and maintainable code. Join us in our mission to secure the cloud. Our tech stack includes a multi-cloud architecture (Azure, AWS, GCP, OCI, Alibaba Cloud) with Golang, GraphQL, PostgreSQL, Neptune, Docker, Kubernetes, and more. WHAT YOU'LL DO End-to-end development of backend software components (research, design, development, testing, rollout, monitoring) Contributing to technological and architectural decisions Conducting design and code reviews Analyzing and improving efficiency, scalability, and stability of various backend system components Collaborating with cross-functional teams (e.g., Frontend, DevOps) to deliver top-tier features. WHAT YOU'LL BRING 8+ years of experience with Backend Engineering in a high-level programming language (e.g. Java, C#, Golang) Experience with cloud platforms (e.g. AWS, GCP, Azure) Experience with microservices based architecture Experience with databases and message queue technologies Experience with continuous integration and deployment (CI/CD) Bachelor of Science in Computer Science/Software Engineering or related field Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Location: London (or surrounding areas) You will be reporting to the Manager, Field Engineering. The impact you will have Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. Gain excitement from clients about Databricks through hands on evaluation and Spark programming, integrating with the wider cloud ecosystem and third party applications. Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet ups. Become a Big Data Analytics advisor on aspects of architecture and design. Support your customers by authoring reference architectures, how tos, and demo applications. Develop both technically and in the pre sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for Experience, technical customer facing with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. You will be working in the following vertical sectors: Entertainment, Media, Telco and/or Hospitality. Financial Services and Insurance (FSI). Retail / CPG (Consumer Package Goods). Any experience in Pre sales or post sales working with external clients. Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. Code in a core programming language such as PySpark, Python, Java, or Scala. Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs of concept and an understanding of a major public cloud platform (AWS, GCP, Azure). Experience diving deeper into solution architecture and design. Nice to have: Databricks Certification. The role requires travel to customer sites in the UK (approx. % of the time). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. EEO Statement At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Export Controlled Technology Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Cacheflow is looking for a Senior Software Engineer based in London, dedicated to crafting reliable services and APIs. This role demands strong backend engineering skills and the ability to tackle complex problems from inception to execution. The ideal candidate will bridge multiple systems and collaborate with cross-functional teams to drive successful outcomes. The position offers a hybrid work environment and the opportunity to contribute to innovative commerce solutions.

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you. Senior Software Engineer - Data Team Location: London / UK (Hybrid) Company: Commerce About Commerce Commerce is an open SaaS ecommerce platform that helps merchants build, run, and grow their businesses. The Data Team builds systems that support merchant-facing products, integrations, analytics, reporting, and the infrastructure behind them. About The Role We are looking for a Senior Software Engineer who can own complex problems from discovery through production. This role is not narrowly frontend, backend, or data engineering. The right person can work across services, APIs, event flows, product experience, production debugging, and cross-team delivery. They should be comfortable taking an unclear business or customer problem, breaking it down, making trade-offs clear, and shipping a reliable solution. We need someone who raises the engineering bar without needing a lot of direction. What You Will Do Design and build reliable services, APIs, and product-facing workflows. Work across backend systems, UI surfaces, event processing, and third-party integrations. Turn unclear problems into concrete technical plans. Own production behavior, including monitoring, alerting, logging, debugging, and runbooks. Work with product, design, infrastructure, support, and other engineering teams. Improve quality through tests, code review, observability, and simpler designs. Use data and production evidence to validate decisions. Take ownership of incidents and production issues when systems do not behave as expected. What We Are Looking For Strong senior-level engineering judgment. Experience owning ambiguous technical work. Ability to solve problems across multiple layers of a system. Strong backend engineering experience with production services. Enough frontend experience to work on product facing workflows when needed. Comfort with distributed systems, event-driven flows, caching, retries, rate limits, and failure modes. Strong production debugging skills. Ability to explain trade-offs clearly. Bias toward simple, reliable solutions. Good communication during incidents, reviews, and cross-team work. Technical Experience 5+ years of software engineering experience. Strong experience with Java, Scala, Kotlin, Go, or a similar backend language. Experience building APIs, services, and integrations. Experience with SQL and data-backed product behavior. Experience with GCP, AWS, or another cloud platform. Experience with Kafka, RabbitMQ, Pub/Sub, or similar event systems. Experience with logs, metrics, dashboards, alerts, and tracing. Experience writing automated tests and reviewing code. Useful Experience React / TypeScript or similar frontend experience. Experience with merchant-facing or customer-facing product workflows. Experience with third-party integrations, account linking, OAuth, or external APIs. Experience with Redis, caching, rate limiting, queues, or high-volume event processing. Experience with analytics, reporting, attribution, or event data products. Mindset Own the outcome, not only the ticket. Ask what problem we are solving before choosing the implementation. Prefer simple designs that other engineers can operate. Validate risky assumptions early. Use production data and customer impact to guide decisions. Escalate early when risk, ownership, or scope is unclear. Do not take shortcuts around process, security, or production safety. What Good Looks Like A strong candidate can describe systems they owned, incidents they handled, trade-offs they made, and mistakes they learned from. They should be able to explain how they approach unclear problems, reduce risk before production, and make systems easier for the team to operate. They should not need a tech lead to turn every ambiguous problem into a detailed task list. Inclusion and Belonging At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team. Learn more about the Commerce team, culture and benefits at

Welcome to the Agentic Commerce Era At Commerce, our mission is to empower businesses to innovate, grow, and thrive with our open, AI-driven commerce ecosystem. As the parent company of BigCommerce, Feedonomics, and Makeswift, we connect the tools and systems that power growth, enabling businesses to unlock the full potential of their data, deliver seamless and personalized experiences across every channel, and adapt swiftly to an ever-changing market. We believe in harnessing AI responsibly to unlock new possibilities, and we're looking for individuals who use it intentionally to solve problems, accelerate outcomes, and expand what's possible in their role. Our purpose is to help businesses confidently solve complex commerce challenges so they can build smarter, adapt faster, and grow on their own terms. If you want to be part of a team of bold builders, sharp thinkers, and technical trailblazers who shape the future of commerce, this is the place for you. The Commerce Payment integrations team is looking for a Software Engineer who wants to make an impact at every level of society by powering innovators, creative thinkers, entrepreneurs, and business owners around the world to be successful at every stage of their growth. The Commerce Payment integrations team is responsible for building, operating, and continuously improving payment integrations on the BigCommerce platform - one of the most business-critical and revenue-sensitive areas of the product. Our team builds payment gateway integrations that help merchants securely process payments and support scalable, high-performance, and flexible checkout experiences. What The Team Owns Designs and maintains payment integrations functionality and APIs, including cart-to-order flows and payments processing Ensures high availability, performance, and correctness for checkout and payments related services, given their direct impact on merchant revenue Partners closely with Product to evolve checkout and payments capabilities while balancing quality, security (PCI), and speed of delivery Owns incident management and on call responsibilities for checkout services due to their critical nature The Commerce Engineering organisation is on a mission to build the leading SaaS eCommerce platform. We work closely with engineering teams across multiple domains, product managers, designers, business stakeholders, and external partners to build a platform where we can easily and securely deliver new and alternative user experiences. Our team brings together people with varied experience and strengths, and we iterate, learn, and build great software together. What You'll Do Build high-quality front-end features using React and TypeScript, with a focus on clarity, performance, and maintainability Refactor legacy or complex areas of the codebase to improve readability, testability, and long-term health Identify and fix issues across the stack, ensuring solutions are robust and scalable Collaborate closely with product managers, designers, and other engineers to define requirements, refine stories, and deliver predictable outcomes Provide thoughtful code reviews, offer technical guidance to less experienced engineers, and contribute to a culture of continuous improvement Help shape the technical direction of the team through practical suggestions, hands on implementation, and identifying opportunities to reduce friction or complexity Contribute to improving our front-end developer experience, including building tools, testing practices, and performance optimisations Ensure technical decisions support our goals of quality, performance, reliability, and security Work with and contribute to open source codebases, including evaluating, extending, and maintaining shared libraries and tools where appropriate Who You Are You have at least 3 years of hands on experience building front end applications with React and TypeScript, and you've worked on complex or long lived codebases Education: Preferred Minimum Bachelor's degree in CS, EE, SW, CE, MIS; or equivalent experience You write maintainable, well tested code and care about leaving things better than you found them You're comfortable working in existing systems as much as building new ones, and you enjoy simplifying code, refactoring, and untangling complexity You're a clear communicator who can explain technical details and trade offs to both engineers and non engineers You take ownership of outcomes, follow through on commitments, and hold yourself to a high standard of reliability You enjoy mentoring and supporting others, and you contribute positively to the team's culture and technical growth You stay up to date with modern tools and approaches without being dogmatic. Your goal is to find the right solution, not the trendiest one You're proactive, curious, and comfortable working independently when needed while still being a strong collaborator Inclusion and Belonging At Commerce, we believe that celebrating the unique histories, perspectives and abilities of every employee makes a difference for our company, our customers and our community. We are an equal opportunity employer and the inclusive atmosphere we build together will make room for every person to contribute, grow and thrive. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions and to receive other benefits and privileges of employment. If you need an accommodation in order to interview at Commerce, please let us know during any of your interactions with our recruiting team. Learn more about the Commerce team, culture and benefits at Protect Yourself Against Hiring Scams: Our Corporate Disclaimer Commerce, along with many other employers, has become the subject of fraudulent job offers to hopeful prospective job seekers. Be advised: Commerce does not offer jobs to individuals who do not go through our formal hiring process. Commerce will never require payment of recruitment fees from candidates; Commerce will never request personally identifiable information through unsanctioned websites or applications; Commerce will never attempt to solicit money from you as part of the hiring process or as part of an employment offer; Commerce will never solicit money to complete visa requirements as part of a job offer. If you receive unsolicited offers of employment from Commerce, we urge you to be extremely cautious and avoid engaging or responding.

Cacheflow in Greater London is seeking a Software Engineer focused on front-end development. You will build high-quality features using React and TypeScript, ensuring performance and maintainability while collaborating closely with product managers and designers. The ideal candidate will have at least 3 years of experience in similar roles, be skilled in refactoring complex systems, and contribute positively to team culture and growth. Join us to make a significant impact in a dynamic environment.

Come join the organization that is redefining security for the AI era. As one of the fastest-growing startups ever, we enable teams to secure cloud and AI applications by connecting code, cloud, and runtime into a single shared context. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world-class talent. Not to mention, we're now powered by Google, meaning we offer our customers an AI-powered platform that harnesses Google's Threat Intelligence and Security Operations to better detect, prevent, and respond to threats across all environments, allowing for further innovation. Our Wizards from all over the globe work together to protect the infrastructure of our customers, including over 50% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're honored to be a leading player in a massive and growing market, and we continue to look for exceptional Wizards who are eager to make a significant impact on our team. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our momentous growth. Come join our team and help us create secure cloud environments that allow even the best companies to move faster, all while having some fun! SUMMARY Wiz is looking for an experienced Incident Responder to join our IR team. The team will support customers in responding to cloud incidents and proactively hunt for undetected threats. We are seeking an adventurous Incident Responder with a strong cloud security foundation who is adaptable, innovative, and eager to collaborate in building something impactful from the ground up! WHAT YOU'LL DO Investigate real-world cyber-attacks on customers' cloud environments and cloud workloads, understanding their root causes and the full scope of compromise, leveraging the Wiz platform. Perform proactive threat hunting to identify undetected cyber-attacks and cloud threats within customer environments. Collaborate with customer teams during engagements to effectively respond to threats. Develop and deliver professional engagement reports, including high-level summaries and deep dives into technical findings. Develop and document incident response methodologies, best practices, and standard operating procedures tailored to cloud environments and cloud workloads. Collaborate with the threat research and engineering groups to refine and enhance incident response detections, tools, and features, based on real-world investigation experiences. WHAT YOU'LL BRING 5+ years of experience in cyber-security, cyber-incident response, and threat hunting Solid foundation in Cloud Security, with familiarity in cloud services, Kubernetes, cloud architecture, and major providers (AWS, GCP, Azure) In-depth knowledge of OS internals for both Windows and Linux Strong analytical skills with a keen attention to detail Experience with scripting languages and querying languages Excellent communication skills, both verbal and written Passion to solve any problem and to thrive as an independent and innovative Incident Responder Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.