Senior Professional Services Engineer - UK

Job Application for Senior Professional Services Engineer - UK at Cortex Back to jobs Senior Professional Services Engineer - UK Remote Apply 🧠 About Cortex Cortex is the Engineering Operations Platform that enables organizations to continuously improve their operational maturity and reduce developer friction. With centralized visibility, clear ownership, automated Scorecards, and golden paths, we help engineering organizations operate as one. Our customers – from startups to Fortune 100 enterprises – create a culture of engineering excellence, reducing incidents by 30% and improving MTTR by 50%, all while making it easier for developers to focus on building. 📍Location We’re fully remote and typically welcome candidates from anywhere. However, for this specific position, we are ideally looking for candidates located in the UK due to the book of business of customers being located mainly throughout Europe. 🤝

The Team Our team is ~80 people building something developers actually want to use. We recently raised a $60M Series C led by Scale Ventures (alongside Sequoia and IVP). We're focused on making engineering teams more effective. You can read more about our latest funding round here . 💼

The Role As a Senior Professional Services Engineer, you will act as a hands-on technical consultant, owning customer engagements end to end, from kickoff through delivery and handover. Your focus is helping customers successfully design, implement, and scale their Cortex setup through a consultative, hands-on-driven approach. You’ll work closely with customers to understand their engineering ecosystem, data models, and how their organization structures its Engineering Operations System. This role is ideal for someone who enjoys being close to customers, solving real technical problems, and translating complex systems into practical solutions. You’ll collaborate with a wide range of stakeholders, from engineers and platform teams to Product Managers, Engineering Leadership, and CTOs. 🛠️ What You’ll Do Customer Engagement & Delivery Deliver Cortex Onboarding & Implementation packages (multiple predefined tiers), including a series of pre-defined enablement workshops , as well as custom engagements Own Professional Services engagements from kickoff through delivery and handover - Serve as the main technical point of contact during implementation to troubleshoot issues, investigate bugs, and raise product feedback through Zendesk and direct customer interactions. Lead technical discovery sessions to understand customer tooling, workflows, and engineering operating models Act as a trusted, consultative advisor , helping customers make informed design and implementation decisions Technical Implementation Design, configure, and troubleshoot Cortex features and integrations across the engineering toolchain (e.g. reporting, workflows, CI/CD, SCM, cloud providers, observability, incident management, security tools, catalogs, custom APIs) Advise on and implement data modeling strategies within Cortex (entities, relationships, ownership, domains) Create and communicate architecture diagrams for Cortex setups and ingestion pipelines Guide customers on data ingestion automation, ownership, reporting and orchestration approaches (e.g. GitHub Actions, Argo) Content & Enablement Create customer-facing learning guides, walkthroughs, and best-practice documentation Plan and facilitate enablement workshops for different audiences (engineering, platform, product, leadership) Contribute internal content on advanced technical use cases and implementation patterns Support the creation of learning videos, demos, and Professional Services playbooks ✔️What We’re Looking For Core Skills & Experience Experience in customer-facing technical roles , such as Professional Services, Technical Consulting, Solutions Architecture, Platform Engineering (with customer exposure), or similar Hands-on experience integrating SaaS tools via APIs, webhooks, and ingestion pipelines Strong understanding of: Cloud-native architectures Kubernetes & Helm (conceptual understanding required; hands-on a plus) Data modeling and entity relationships Familiarity with modern engineering ecosystems (CI/CD, GitHub/GitLab, cloud providers, observability, incident management) Comfortable working with JSON and YAML (Python, SQL, and scripting are a plus, not 💰