Jobs at Qodea

Design, implement, and automate scalable cloud infrastructure on Google Cloud using IaC (Terraform/Deployment Manager), Kubernetes, and container tooling. Ensure security, compliance (GDPR/HIPAA/PCI DSS), monitoring (Stackdriver/Prometheus), cost optimisation, troubleshooting, and provide stakeholder support and mentorship within Managed Services.

Senior regional People Partner leading the Americas HR function (US & LATAM). Set regional people strategy, advise executives, lead post-acquisition integration, establish Buenos Aires Delivery Centre (including union and local law navigation), manage graduate programme compliance, oversee hiring, organizational design, performance, employee relations, change management, and apply people analytics to drive business outcomes.

Lead design and delivery of scalable, secure cloud platforms (GCP preferred) for enterprise clients. Implement IaC (Terraform), CI/CD, containerisation (Docker, Kubernetes), monitoring, cost optimization, and compliance. Engage clients, run workshops, support pre-sales, conduct incident RCA, mentor junior engineers, and raise platform engineering standards across engagements.

Lead customer-facing data analytics projects, migrate reporting suites to Looker Enterprise, design BI solutions on GCP (BigQuery), document data processes, deliver training, and develop internal tooling to improve analytics workflows and outcomes.

Lead design, build, and deployment of production ML systems (recommendation, personalization, NLP). Own end-to-end ML lifecycle, observability, tuning, data pipelines, and A/B testing. Collaborate with product and engineering, mentor teammates, and champion ML best practices.

Design, build, and maintain scalable data pipelines and storage on cloud platforms. Implement ETL, data models, data quality monitoring, governance, and collaborate with data scientists for analytics and reporting.

Analyze business requirements and manage end-to-end data analytics delivery using Looker and BigQuery. Investigate data, build visualizations and reports, document processes, train clients, improve internal tooling, and present actionable insights to stakeholders.

Serve as a trusted, client-facing data engineering lead for MSP customers: design, maintain and monitor automated ETL/ELT data pipelines and data infrastructure on GCP, troubleshoot and resolve platform issues, maintain data models for analytics, implement best practices, document managed-service processes, mentor junior engineers, and coordinate quarterly customer reviews and implementations.

Own and run the end-to-end bid process: build a centralised content repository, maintain templates and case studies, manage RFP/RFI responses, ensure bid governance and quality, partner with Sales/Pre-Sales and SMEs, and support pitches and proposal materials.

Senior Data Science Engineer designs, develops, and deploys ML models (including Transformer-based models and AI agents) on Google Cloud. Collaborates with clients, uses MLOps, version control, and cloud ML tools, and provides technical guidance while staying current with ML advancements.

Senior QA Engineer responsible for functional and manual visual QA, building and maintaining E2E automation (Cypress/Playwright), managing bug lifecycle, testing Brightspot and enterprise CMS configs, defining quality strategies, and championing security, accessibility, and performance standards while collaborating across Americas and Europe.

Analyse customer data and define requirements using Looker and BigQuery. Build visualisations and reports, investigate data quality, document processes, train clients, and improve internal analytics tooling.

Lead visual design across websites, digital products, AI interfaces and agentic services. Produce high-quality concepts, UI, prototypes, and presentations; collaborate with cross-functional teams; mentor designers and promote AI upskilling.

Build scalable, accessible frontend applications using modern JavaScript/Angular. Lead design system and component library development, integrate headless CMSs, implement generative AI interfaces (streaming chat, markdown), author technical design docs, collaborate with global teams, and optimize performance, SEO, and automated frontend testing for enterprise clients.

Design, implement, and automate scalable Google Cloud Platform infrastructure using IaC (Terraform/Deployment Manager), Kubernetes, and containerization. Ensure security, compliance, monitoring (Stackdriver/Prometheus), perform troubleshooting and root cause analysis, optimize costs, support BAU tasks, mentor junior engineers, and engage with stakeholders.

Lead and deliver data protection and privacy consultancy across public and private sector clients. Provide UK GDPR and international privacy advice, conduct DPIAs, RoPA, data mapping and compliance gap assessments, develop policies and governance frameworks, advise on AI governance and ISO standards, run client workshops, mentor junior consultants, and contribute to business development and practice improvement.

Architect and deploy production-grade AI solutions using Vertex AI and Python, build RAG/LLM orchestrations and agentic workflows, manage vector databases and data sources, optimize model performance and prompts, implement MLOps/CI-CD and observability, and consult with clients while collaborating with global product and delivery teams.

Lead delivery of cloud-native solutions for key accounts, advise clients on architecture and AI adoption, author technical designs, implement LLM and Agentic solutions, maintain hands-on full-stack development (Python, Angular) and CI/CD, and ensure GCP-based scalable, secure, observable architectures while coordinating distributed teams across Argentina, Europe, and North America.

Design, build, and maintain scalable data pipelines and infrastructure for large datasets. Implement ETL, data ingestion, storage, governance, and monitoring. Collaborate with data scientists and stakeholders to design models and ensure data quality and performance. Mentor junior team members and contribute to technical decisions.

Pre-sales Solutions Consultant owning full enterprise sales cycles across North America. Build pipeline, engage C-suite, craft Google Cloud and AI-backed solutions, collaborate with solution engineers and customer success, and consistently meet revenue targets.