Top Tech Jobs & Startup Jobs

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.