• Use Ruby & Golang as the development languages. • Design, implement, and scale different solutions, paying attention to writing polished and easy-to-understand code. • Follow and apply best practices in the entire development cycle. • Participate in code reviews and pull requests, helping the team in the improvement of the product’s quality. • Make contributions to the architecture by sharing your best ideas and helping in their execution. • Work closely with other specialists (QA, Product Owners…) to make our software design, delivery, and quality unbeatable. • Help with tech documentation. • Leverage AI tools for assisted backend and infrastructure development, maintaining high quality standards, exercising technical supervision, and verifying generated results to ensure reliability and security.

Role Description As a Backend Engineer on our AI Products team, you will design, build, and operate the backend services that power products across Galaxy. You will work with product and engineering teams to implement features end-to-end, from data model to API to production deployment. Many of these products integrate with Galaxy's AI Suite, our internal platform for Generative and Agentic AI, built on AWS Bedrock, AgentCore, and SageMaker. Day to day, you'll mostly be consuming that platform, calling its APIs, wiring LLM and RAG-based features into application logic, and reasoning about prompts and model behavior as part of building a good product, rather than building or owning the platform itself. From time to time, though, you may be asked to contribute directly to the AI stack, so foundational AI knowledge is important. Key Responsibilities - Backend Engineering - Design, build, and maintain backend services and REST APIs that power Galaxy products - Design data models and schemas, and work with relational and other data stores as appropriate - Apply strong software engineering and distributed systems principles to day-to-day development - Write automated tests and maintain CI/CD pipelines for reliable, repeatable deployments - Diagnose and resolve production issues related to latency, reliability, and data quality - AI Integration - Integrate backend services with Galaxy's AI Suite (Bedrock, AgentCore, SageMaker-based APIs) built and maintained by the AI Platform team - Wire LLM, embedding, and RAG-based capabilities exposed by the AI Suite into application features - Apply prompt engineering and function calling at the application level to build reliable AI-powered features - Contribute to testing and quality checks for AI-driven features from a product/application perspective - Cross-Stack Contribution - Contribute across the stack as needed, such as data pipelines, infrastructure, or frontend touchpoints, depending on team and project needs - Partner with full stack engineers, the AI Platform team, and data teams to deliver features end-to-end - Balance delivery speed with code quality, maintainability, and operational health - Collaboration & Growth - Work closely with product managers and business stakeholders to translate requirements into working software - Collaborate with the AI Platform team to stay current on AI Suite capabilities and best practices for consuming them - Share knowledge with other engineers on backend and AI-integration best practices Qualifications - Mandatory Technical Skills - Programming & Engineering - Python - REST API design and development - CI/CD pipelines - Automated testing - Distributed systems fundamentals - Relational database design (e.g. PostgreSQL) - CI/CD & Infrastructure - Kubernetes - Terraform - Docker - Jenkins experience is a plus - AI Familiarity - Working familiarity with Generative AI / LLM concepts: RAG, embeddings, prompt engineering, function calling - Experience integrating applications with LLM or AI platform APIs (e.g. AWS Bedrock or equivalent); deep agentic architecture or model training experience is not required - Comfortable reasoning about prompt behavior and AI output quality from an application/product perspective - Cloud Platforms - Working experience with AWS (or equivalent cloud platform) - Exposure to core AWS services such as Lambda, API Gateway, S3, and CloudWatch is a plus - Data Platforms - Databricks experience is a plus - Production & Operations - Observability (logs, metrics, tracing, alerts) - Monitoring and reliability engineering - Performance tuning and cost optimization - Security - Experience implementing AuthN/AuthZ (OAuth2/OIDC, SSO), RBAC, and secrets management in production applications - Soft Skills - Strong communication skills; comfortable presenting technical recommendations directly to engineering and business stakeholders Nice to Haves - Domain - Experience working within the financial services domain is preferred - Prior experience across Capital Markets, Digital Assets/Crypto, or AI infrastructure is highly desirable - Awareness of the regulatory and compliance landscape relevant to financial services technology delivery - AI & Product - Experience building applications on top of LLM/agentic AI platforms (e.g. AWS Bedrock, SageMaker, or equivalent) - Familiarity with vector databases and embeddings (e.g. pgvector) for AI-powered search/retrieval features - Ability to evaluate AI feature quality from a product/UX lens (accuracy, latency, hallucination handling, graceful degradation), distinct from model-level evaluation owned by the AI Platform team Benefits - Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits - Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme - Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance - Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme - Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more - Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies - Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat - Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform - Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes - And many more exciting benefits… drop us a note to find out more.

Role Description We are looking for an exceptional System Architect to lead the design and evolution of our platform architecture. This is a hands-on role requiring deep technical expertise in building secure, scalable, and cost-efficient systems. You will be responsible for critical architectural decisions affecting system performance, security, reliability, and modularity across our entire platform. In this role, you will also be responsible to: - Architecture & Design - Design microservices and platform features from concept to production-ready specifications. - Create technical designs for complex system components and develop proof-of-concepts in Golang. - Architect secure, fault-tolerant systems with automated failover, circuit breakers, and end-to-end encryption. - Analyze existing system architecture to understand current implementations and plan gradual replacement of legacy components. - Plan implementation phases, migration strategies, and feature deprecation timelines. - Architectural Governance & Collaboration - Review and approve architectural designs from engineering teams with detailed feedback. - Lead architecture review sessions and facilitate technical decision-making across teams. - Partner with Product Managers, Dev Leads, Security, SRE and Infrastructure teams to establish platform-wide standards. - Lead threat modeling exercises and drive technical consensus for platform-wide initiatives. - Mentor engineers on architectural best practices and resolve complex technical challenges. - Documentation & Planning - Write comprehensive technical documentation including ADRs, design documents, runbooks, and API specifications. - Create visual system diagrams and research technical solutions from diverse sources. - Design zero-downtime migration strategies and define acceptance criteria for architectural changes. Qualifications - 8+ years building scalable distributed systems, with 3+ years in System/Platform Architect roles. - Proven experience architecting both large microservice environments (100+ services) and monolithic applications. - Strong hands-on Golang coding skills - must write production-quality code. - Communication & Data: Protocol Buffers, gRPC, WebSockets, Kafka event streaming, PostgreSQL (partitioning, replication, HA). - Security & Authentication: OAuth 2.0/OIDC, JWT, mTLS, data encryption, public key cryptography, zero-trust architecture. - Infrastructure & Operations: Working knowledge of Kubernetes, Docker, CI/CD pipelines, Infrastructure as Code (Terraform), distributed systems patterns (Saga, circuit breakers, retries). - Scale: Experience with systems handling millions of requests/events per day. - Exceptional technical writing and communication abilities for diverse audiences. - Experience planning phased implementations and leading complex cross-team projects. - Proven track record with feature flags, gradual rollouts, and zero-downtime deployments. - Ability to facilitate architectural decision-making and create technical roadmaps. - Mentorship mindset and cost analysis capabilities. - Experience with AI-assisted workflows, particularly in system analysis and hunting for inconsistencies and corner cases. Requirements - Nice to Have - Additional Languages: Ruby, Rust, Python, Java, C++, Kotlin-multiplatform. - Advanced Security: Key Management Systems (HSM, AWS KMS), Secrets Management (Vault), specific crypto algorithms. - Extended Infrastructure: Service mesh (Istio, Linkerd), NoSQL databases, Redis clustering, stream processing (Flink, Spark). - Cloud & Compliance: AWS/GCP/Azure expertise, PCI-DSS, HIPAA, SOC2. - Community: Open source contributions, conference speaking, technical writing.

• Asistir a las reuniones que indique el jefe de proyecto, sirviendo de apoyo cuando se requiera. • Realizar e interpretar el análisis y el diseño a alto nivel, y construir los módulos de aplicación basados en tecnologías .NET y e interfaces con otros sistemas. • Diseño y ejecución de las pruebas unitarias y de integración que sean necesarias. • Acometer las tareas que se establezcan en la planificación, informando al resto del equipo sobre el avance de las mismas. • Generar la documentación asociada a las tareas asignadas. • Identificar a nivel interno cualquier incidencia o riesgo que pueda afectar al avance del proyecto.