Systems Integration Engineer
Nscale is hiring a Systems Integration Engineer in London, United Kingdom. Level rates it ; you can apply on Nscale.
Level's read on this job
- Uses AI ●●○○ is how Level rates this role: an ordinary role that requires AI tools.
- Level classes it as a mid-level role.
- Nscale has 283 other open roles on Level.
- Posted in the last few days.
AI in this role
Systems Integration Engineer
About Nscale
Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers. Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.
We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.
About the Role (Job Purpose)
We're hiring a Systems Integration Engineer (we are open to senior engineer levels too but please bear in mind this is a hands on IC role) to design, build, and maintain the connective tissue between Nscale's rapidly expanding application landscape. As we scale from 500 to 1,000+ people and prepare for IPO, our internal systems need to work together seamlessly - not as isolated silos.
This is a hands-on technical role where you'll architect and implement integrations across our core business systems. You'll define integration patterns, build automation workflows, and ensure data flows reliably across the enterprise.
What You’ll be Doing (Responsibilities)
Integration Design & Implementation
- Design and build integrations between core business systems (ERP, HRIS, CRM, ATS, ITSM, project management, finance, procurement)
- Implement API-based integrations, webhooks, scheduled data syncs, and event-driven workflows
- Work with the Palantir Foundry team to enable as the primary integration platform
- Build and maintain data transformation logic, field mappings, and validation rules
- Design error handling, retry logic, and monitoring for production integrations
- Architect and support integrations with upstream and downstream systems.
- Maintain data consistency across entities and currencies.Lead data migration for new entities and acquisitions.
Delivery and Partnership
- Own the systems development lifecycle, including source control, testing and deployment.
- Translate business requirements into documented technical solutions.Partner with external consultants on integration and platform work.
Solution Architecture
- Act as technical advisor for integration requirements - translating business needs into technical designs
- Define integration patterns and standards (REST APIs, webhooks, batch ETL, SCIM provisioning, SSO/SAML)
- Evaluate trade-offs between point-to-point, hub-and-spoke, and event-driven architectures
- Create architectural decision records (ADRs) and integration documentation
- Collaborate with the Enterprise Architecture function to ensure integrations align with target state architecture
Data Quality & Governance
- Ensure data consistency across systems - single source of truth for users, customers, contracts, financial data
- Build data validation and quality checks into integration pipelines
- Identify and resolve data sync issues, duplicate records, and mapping errors
- Work with business owners to define data ownership and master data management rules
Tooling & Platform Evaluation
- Evaluate and recommend integration tools, platforms, and SaaS connectors
- Conduct proof-of-concept builds to validate technical feasibility
- Assess API capabilities, rate limits, authentication methods, and webhook reliability of SaaS platforms
- Maintain awareness of integration technology landscape and emerging patterns
Operational Support & Monitoring
- Monitor integration health - track API errors, failed syncs, data discrepancies
- Build dashboards and alerting for integration pipelines
- Troubleshoot integration failures and implement fixes
- Document runbooks and support procedures for production integrations
- Provide Level 2/3 support for integration-related issues
About You (Skills / Qualifications)
Required
- 4+ years hands-on experience building enterprise integrations across finance, supply chain applications
- Strong understanding of REST APIs, webhooks.
- Experience with at least one integration platform (Workato, Celigo, MuleSoft, Boomi, Make) or custom API development
- Proficiency in at least one scripting/programming language (Python preferred but open to JSON too)
- Experience integrating core business systems: ERP (NetSuite/SAP/Salesforce), HRIS (Workday/BambooHR), CRM (Salesforce/HubSpot), ATS (Greenhouse/Lever)
- Solid understanding of data modeling, ETL/ELT patterns, and data transformation logic
- Ability to read and write SQL for data validation and troubleshooting
- Strong troubleshooting skills - comfortable diving into API logs, HTTP requests, JSON payloads
Nice to have
- Experience with Palantir Foundry or similar enterprise data integration platforms
- Background in solutions architecture or enterprise architecture for internal systems
- Knowledge of SOX, SOC 2, or ISO 27001 compliance requirements for integrations
- Experience in high-growth, pre-IPO, or recently public companies (250–2,000 employees)
- Familiarity with data governance, master data management (MDM), and data quality frameworks
- Experience with CI/CD for integration pipelines (version control, automated testing, deployment automation)
What We Can Offer You
At Nscale, you'll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We're building something extraordinary, and we want you at the core.
- Highly competitive package (base + bonus + equity) with reviews every 12 months. 🚀
- Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨
- Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.
- Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life's moments.
- Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.
Equal Opportunities Statement
We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.
If there’s anything we can do to accommodate your specific situation, please let us know.
The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.
For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.
Nscale does not accept unsolicited candidate submissions from recruitment agencies.
How we rate this
Systems Integration Engineer at Nscale rates 47 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.
Uses AI. An ordinary role that requires AI tools.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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