Saragossa

About the Company

We are Saragossa.

A high-growth technology recruitment firm, specialising in helping investment businesses extend their technology capability.

Named after an unusual but highly effective chess move, we help people achieve their objectives, whether building a world-class team, delivering exceptional projects, or accelerating professional ambitions.

You can find our privacy policy here - https://saragossa.co.uk/privacy-policy

Listed Jobs

Company Name

Saragossa

Job Title

Senior Client Services Lead - £100k base plus

Job Description

Job title: Senior Client Services Lead Role Summary: Senior, client‑facing leader responsible for managing day‑to‑day client service, trade capture, lifecycle event management, P&L, and risk issue resolution across Rates, FX and Credit products. Leads process improvement, automation and new business initiatives to evolve the platform and enhance client experience. Expectations: - Own the client relationship as primary point of contact. - Ensure SLA compliance and timely resolution of issues. - Drive operational efficiencies through process improvement and automation. - Identify and support new business opportunities on the platform. Key Responsibilities: - Manage trade capture, post‑trade processing and cycle events for assigned clients. - Resolve P&L and risk issues, coordinating with portfolio managers, traders, sell‑side counterparties, technology and product teams. - Lead process‑improvement and automation projects to increase service delivery and platform efficiency. - Collaborate on new business initiatives to shape platform evolution. - Prioritise issues based on risk and business impact, communicating clearly with stakeholders. - Maintain up‑to‑date knowledge of market conventions, regulatory reporting and trading lifecycle. Required Skills: - Deep expertise in trading operations and derivatives; strong judgment in fast‑paced environments. - Excellent client‑focused communication and stakeholder management. - Ability to analyse and automate complex processes, delivering measurable improvements. - Proficiency in interpreting P&L, risk metrics and compliance requirements. - Familiarity with portfolio management/analytics platforms and data orchestration tools. Required Education & Certifications: - Bachelor’s degree in Finance, Economics, Computer Science, Operations or related field. - Preferred certifications: CTP, CQF, FRM, CFA or equivalent.

London, United kingdom

On site

Senior

09-03-2026

Company Name

Saragossa

Job Title

Software Engineer, Data Platform - Up to $260k base + bonus

Job Description

Job Title Software Engineer, Data Platform Role Summary Design, build, and operate high‑throughput data pipelines that ingest, transform, and serve healthcare data for an AI clinical and financial automation platform. Own end‑to‑end infrastructure—cloud provisioning, CI/CD, container orchestration, and observability—for pipelines that feed AI models and user applications. Expectations • 5+ years of professional software engineering; 2+ years in large‑scale data pipeline production. • Demonstrated ownership of infrastructure (Terraform, Docker, Kubernetes). • Proficiency with Python, Go, or Java; experience with Spark, Kafka, Airflow at scale. • Ability to instrument systems for reliability, observability, and business impact. • Proven track record in a tier‑one tech, AI lab, or high‑growth startup context. Key Responsibilities 1. Design and develop ingestion pipelines and backend schemas to support AI and SaaS applications. 2. Implement, maintain, and evolve Terraform, Docker, Kubernetes, and CI/CD workflows. 3. Build and optimize Spark, Kafka, and Airflow pipelines to process ~500M patient encounters per year. 4. Ensure pipeline reliability, monitoring, alerting, and troubleshooting across production systems. 5. Collaborate with data scientists, product managers, and application teams to align data delivery with product goals. 6. Document architecture, data models, API contracts, and operational runbooks. Required Skills • Strong programming in Python, Go, or Java. • Hands‑on experience with Spark, Kafka, or Airflow at production scale. • Infrastructure automation: Terraform, Docker, Kubernetes. • Cloud platform knowledge (AWS/GCP/Azure). • Database design and data modeling for large datasets. • Observability tools (Prometheus, Grafana, ELK, or equivalent). • Good understanding of health data standards (FHIR, HL7) is a plus. Required Education & Certifications • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience. • Certifications in cloud or DevOps (e.g., AWS Certified Solutions Architect, GCP Professional Cloud Architect, Certified Kubernetes Administrator) are advantageous but not mandatory.

New york, United states

On site

Mid level

13-03-2026

Company Name

Saragossa

Job Title

Senior Infrastructure Engineer - Commodities Trading - Up to £90k + Bonus

Job Description

**Job Title** Senior Infrastructure Engineer – Commodities Trading **Role Summary** Lead and modernise mixed Windows & Linux infrastructure supporting a global energy trading desk. Oversee on‑prem data centres and Azure cloud, ensuring performance, resilience, and security for critical trading systems. Drive automation, infrastructure‑as‑code initiatives, and operational improvements to empower traders, analysts, and operations teams. **Expectations** - 5+ years of infrastructure engineering in finance, commodities trading, or complex enterprise environments. - Proven ability to design, deploy, and maintain high‑availability systems across Windows, Linux, and Azure. - Hands‑on experience with VMware/VDI, Cisco networking, firewalls, Microsoft 365, and automation tools (Terraform, basic Kubernetes). - Strong problem‑solving skills, ownership of end‑to‑end systems, and collaborative mindset. **Key Responsibilities** - Modernise and automate infrastructure using IaC (Terraform, configuration scripts). - Enhance system resilience, performance, and security for real‑time trading applications. - Manage on‑prem data centre resources and Azure services, ensuring seamless integration and migration. - Configure and maintain virtualization platforms (VMware/VDI) and network components (Cisco, firewalls). - Support Microsoft 365 and other enterprise tools critical to trading operations. - Participate in incident response, capacity planning, and performance tuning. - Collaborate with development, data, and application teams to align infrastructure with business goals. **Required Skills** - Windows Server (Admin) and Red Hat Linux (Admin) proficiency. - Microsoft Azure administration (IaaS, PaaS, networking). - IaC with Terraform; familiarity with Kubernetes concepts. - VMware vSphere/VDI, Cisco networking, and firewall configuration. - Scripting (PowerShell, Bash, or similar). - Security best practices: MFA, network segmentation, patch management. - Monitoring, alerting, and log management tools (e.g., Prometheus, ELK, or equivalent). **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, or related field. - Certifications: CCNA/CCNP (preferred), Red Hat Certified Engineer (RHCE), Microsoft Certified: Azure Administrator Associate (optional but advantageous). ---

London, United kingdom

Hybrid

Senior

16-03-2026

Company Name

Saragossa

Job Title

Senior AI Software Engineer, LLMs - start-up, Up to £140,000 plus equity

Job Description

**Job Title:** Senior AI Software Engineer – LLMs **Role Summary:** Lead the design, development, and production deployment of large language model (LLM)–based AI solutions for enterprise clients. Define the technical vision, drive innovation, and manage a small team of AI engineers to deliver high‑impact, scalable products. **Expectations:** - Deliver end‑to‑end LLM solutions that transform client operations. - Set technical strategy and roadmap for AI initiatives. - Mentor and grow a team of engineers. - Collaborate closely with product, data, and client teams to align solutions with business goals. **Key Responsibilities:** 1. Architect and implement production‑grade LLM systems (e.g., fine‑tuning, inference, serving). 2. Manage end‑to‑end pipeline: data ingestion → model training → deployment → monitoring. 3. Conduct code reviews, enforce best practices, and ensure compliance with security/quality standards. 4. Lead client workshops to gather requirements, present prototypes, and translate business needs into technical specifications. 5. Stay current on LLM research and evaluate emerging technologies for potential adoption. 6. Guide the team on tool selection, workflow optimization, and continuous integration/continuous deployment (CI/CD). 7. Report progress, risks, and outcomes to leadership and stakeholders. **Required Skills:** - Proficient in Python (core, data science, ML libraries). - Deep experience with LLM frameworks (e.g., Hugging Face Transformers, OpenAI APIs, Llama, GPT‑style models). - Expertise in scalable production ML infrastructure (Docker, Kubernetes, cloud services). - Strong software engineering fundamentals (OOP, design patterns, testing, version control). - Experience building and deploying enterprise‑grade AI solutions. - Leadership skills: mentoring, team management, cross‑functional communication. - Problem‑solving mindset with focus on reliability, latency, and cost optimization. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or related field. - (Preferred) Professional certifications in cloud platforms (AWS, GCP, Azure) or ML engineering. ---

London, United kingdom

Hybrid

Senior

18-03-2026