At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don’t just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
Shape the Future of AI. Transform the World's Leading Businesses.
Tiger Analytics is one of the fastest-growing AI services firms, partnering with some of the world's largest and most influential organisations to redefine how business gets done. We help Fortune 500 companies harness the power of Artificial Intelligence, Generative AI, Data Science, Data Engineering and Advanced Analytics to solve their most complex challenges, unlock new growth opportunities, and create lasting business impact.
We are at the forefront of the AI revolution, helping enterprises move beyond traditional analytics to embrace Generative AI, agentic AI, intelligent automation, and cloud-native data platforms. A global presence across North America, Latin America, Europe, and India
At Tiger Analytics, we don't just help businesses adapt to the future—we help them build it.
We are looking for a Manager, Business Intelligence to deliver innovation and tools to global business teams. This is a cross-functional role that requires strong interpersonal skills and the ability to liaison with technical teams and interact with internal clients.
Responsibility:
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform, with customers and pros on both sides and real money moving every day.
Security is already part of how we build — today it's owned by our Cloud & DevOps team, who've kept it solid as we've scaled. As we grow a $150M+ marketplace that processes payments, holds customer and pro data, and runs on AWS — and as AI agents let us ship faster than ever — we're ready to take security to the next level with a dedicated leader.
We are looking for a Solution Architect to own the technical shape of complex, multi-service platform solutions from vision through to delivery.
This role sits between business intent and engineering execution. You will translate requirements into a coherent architecture, make and defend the decisions that constrain how the system is built, and stay engaged through implementation to ensure what ships matches what was designed. The ideal candidate is a hands-on architect — comfortable in a client workshop in the morning and in a design review with engineers in the afternoon — who thinks in trade-offs rather than absolutes.
We are seeking an Application Architect to define, maintain, and govern the Application Architecture across enterprise and banking environments. The role will focus on developing current-state and target-state application landscapes, defining application and integration standards, and ensuring application designs align with approved Enterprise Architecture. The Application Architect will work closely with Solution Architects, Enterprise Architects, Security, Data, Infrastructure, and development teams to support application modernization, rationalization, integration, and transformation initiatives.
YOU WILL
Location: London, United Kingdom (Hybrid) - 2 days per week onsite in London office
Hybrid | Full-time
Compensation: Competitive Compensation
We are hiring on behalf of our client, a pioneering scale-up in the UK credit data market, is seeking a early-career Product Engineer to build and maintain the Go services that power their real-time B2B APIs on AWS.
In this role, the successful candidate will join a collaborative and highly productive engineering team, reporting directly to the CTO. Working alongside and receiving mentorship from senior engineers, the candidate will take full ownership of real features end-to-end from day one. The role emphasizes a strong product mindset—focusing on user impact, problem-solving, and robust production design—alongside high standards for code quality and the responsible, effective use of modern AI tooling to complement engineering judgment.
Key Responsibilities:
The Microsoft DevOps Engineer designs, implements and supports secure, resilient and automated Microsoft Azure platforms. The role owns CI/CD pipelines, Infrastructure as Code, cloud operations, monitoring and continuous improvement, working closely with infrastructure, security, application and project teams to accelerate reliable technology delivery.
Key Responsibilities
Azure Cloud Engineering
· Design, deploy and manage Microsoft Azure environments in line with approved architecture and governance standards.
· Support Azure landing zones, networking, compute, storage, backup and disaster recovery services.
· Optimise cloud platform performance, resilience, capacity and cost.
DevOps & Automation
· Design and maintain Azure DevOps CI/CD pipelines using reusable YAML templates.
· Automate infrastructure and application deployment using Terraform, Bicep or ARM templates.
· Manage Git repositories, branching controls, pull requests, artefact versioning and release processes.
· Develop PowerShell, Azure CLI and workflow automation to reduce manual operational effort.
Monitoring & Reliability
· Implement monitoring and alerting with Azure Monitor, Log Analytics and Application Insights.
· Investigate platform and deployment incidents, complete root cause analysis and drive corrective actions.
LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. We're expanding beyond lawn care to become the one-stop shop for all home services — operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform, with customers and pros on both sides and real money moving every day.
Security is already part of how we build — today it's owned by our Cloud & DevOps team, who've kept it solid as we've scaled. As we grow a $150M+ marketplace that processes payments, holds customer and pro data, and runs on AWS — and as AI agents let us ship faster than ever — we're ready to take security to the next level with a dedicated leader.
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.
Key Responsibilities:
