• Manage and optimize our AWS cloud infrastructure for reliability, scalability, and performance • Automate cloud deployments, infrastructure management, and operational workflows to improve reliability and efficiency • Monitor production environments and proactively improve system performance, uptime, and alerting • Apply cloud security best practices and support a secure, compliant infrastructure • Troubleshoot production issues and resolve cloud-related incidents within service level agreements (SLAs) • Partner with Engineering and Product to improve cloud architecture, deployments, and operational processes • Evaluate new cloud technologies and recommend improvements that enhance performance and scalability

• Design and build robust, scalable data transformation pipelines using SQL, DBT, and Jinja templating • Develop and maintain data architecture and standards for Data Integration and Data Warehousing projects using DBT and Amazon Redshift • Collaborate with cross-functional teams to gather requirements and deliver dimensional data models that serve as a single source of truth • Own the full stack of data modeling in DBT to empower analysts, data scientists, and BI engineers • Enhance and maintain the analytics codebase, including DBT models, SQL scripts, and ERD documentation • Ensure data quality, governance alignment, and operational readiness of data pipelines • Apply software engineering best practices such as version control, CI/CD, and code reviews • Optimize SQL queries for performance, scalability, and maintainability across large datasets • Implement best practices for SQL performance tuning, including partitioning, clustering, and materialized views • Build and manage infrastructure as code using AWS CDK for scalable and repeatable deployments. Integrate and automate deployment workflows using AWS CodeCommit, CodePipeline, and related DevOps tools • Support Agile development processes and collaborate with offshore teams • Perform comprehensive data profiling on staging datasets to assess completeness, accuracy, consistency, timeliness, and conformity with business rules before downstream ingestion. • Conduct gap analysis between source, staging, and target data models to identify missing attributes, mismatched definitions, and transformation issues impacting reporting and analytics. • Partner with business SMEs, product owners, and analytics teams to clarify data definitions, resolve ambiguities, and prioritize remediation of critical data gaps.

• Own the architecture, engineering, and lifecycle of Brightsolid's cloud platforms and services. • Lead Cloud Engineering and Network teams ensuring delivery of high-quality, scalable, secure infrastructure • Drive engineering excellence through automation, standardisation, and modern operating models • Maintain full accountability for multi-tenant cloud platforms, both internal and customer-facing • Lead the transition from legacy environments to open-source platforms (Ubuntu, OpenStack, Kubernetes) • Ensure platforms meet defined SLAs, resilience, compliance, and security requirements • Lead network engineering and datacentre strategy across all Brightsolid facilities • Ensure high-availability, resilient, and high-performance connectivity and infrastructure • Own disaster recovery, capacity planning, and infrastructure lifecycle management • Own the strategy, architecture, and operation of all engineering and business-critical tooling across the group • Provide full lifecycle ownership of key enterprise platforms, including: - ITSM and Service Management platforms (e.g. ServiceNow or equivalent) - CRM and customer engagement platforms (e.g. Salesforce or equivalent) - Monitoring, observability, and alerting platforms - Automation, CI/CD, and DevOps tooling - Identity, access management, and security tooling • Define and enforce standards for tooling rationalisation, reducing duplication and driving platform consistency across the organisation • Lead the transition from fragmented tools towards a cohesive, platform-led operating model, where tooling is: - API-driven - Automated-first - Integrated into engineering workflows and service delivery • Work cross-functionally with Product, Sales, and Customer Success teams to support solution development and delivery • Build and lead high-performing Cloud Engineering and Network teams • Define and manage KPIs across platform availability, performance, cost, and customer outcomes • Foster a culture of innovation, accountability, and continuous improvement

• You'll be working on the backend of an Amsterdam-based trading platform, contributing directly to system architecture design, technical decision-making, and the evolution of a serverless AWS-based infrastructure • The environment is dynamic and intentionally ambiguous — the right candidate will bring structure and technical clarity, not wait for it.