Jobs at Tikal

Build and manage scalable data lakes, warehouses, ETL pipelines, and orchestrated ingestion and transformation workflows. Develop data models, optimize SQL queries, support streaming and high-volume architectures, and implement data security, governance, quality, compliance, and lineage. The role requires ownership of architecture and code quality while using AI-assisted development tools to deliver complex multi-file implementations.

Architect, design, and build scalable, high-performance backend systems and secure APIs. Apply advanced algorithms, data structures, distributed computing, and robust software engineering practices. Develop optimized SQL and NoSQL data persistence solutions, model data for performance, and build scalable cloud infrastructure. Work with microservices, distributed processing, messaging systems, Docker, Kubernetes, and major cloud platforms. Leverage AI-assisted development tools while maintaining ownership of architecture, code quality, design decisions, and final validation.

Lead fullstack engineering initiatives, advise on frontend best practices, migrate monoliths to micro-frontends, establish coding standards, create technical designs, and deliver features from architecture through production. The role requires hands-on React and Node.js development, with emphasis on performance, security, scalability, testing, and AI-assisted implementation. It also involves mentoring, defining development roadmaps, influencing developer experience, and collaborating across multiple engineering teams.

Own the full B2B technology services sales cycle, from prospecting and lead generation through closing complex, high-value enterprise deals. Build relationships with CTOs, VP R&Ds, and engineering leaders; position tailored consulting and engineering solutions; expand existing accounts; negotiate proposals and contracts; manage pipeline forecasting; and exceed revenue targets using CRM and AI tools.

Lead DevOps initiatives including monolith-to-microservices migrations, Kubernetes cluster management, Helm deployments, GitOps, CI/CD automation, infrastructure provisioning, security configuration, and observability. Establish production-readiness standards and maintain reliable, scalable, fault-tolerant systems across complex environments. The role requires extensive Kubernetes, cloud infrastructure, Terraform, monitoring, and AI-assisted development experience.