Database Engineering - Lead Engineer in Mexico at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Database Engineering - Lead Engineer based in Mexico.

You will take a senior technical leadership role in designing, building, and operating the data and AI/ML infrastructure powering large-scale, client-facing AI products used by global financial institutions.
This position sits at the core of platform engineering, combining database architecture, cloud infrastructure, and AI/ML systems into a unified production environment.
You will own the end-to-end reliability, performance, and scalability of critical data systems supporting real-time AI applications.
The role involves working across distributed systems, vector search, and cloud-native databases while ensuring high availability and operational excellence.
You will collaborate closely with ML engineers and platform teams to support model serving, retrieval systems, and production pipelines.
This is a highly hands-on leadership role requiring deep technical expertise and the ability to operate in a 24/7 production environment.
You will contribute directly to the evolution of next-generation AI infrastructure powering enterprise-grade financial solutions.

• Architect, build, and operate production-grade AI/ML and database infrastructure supporting large-scale AI applications.
• Own the full lifecycle of database systems including OpenSearch, DocumentDB, Aurora PostgreSQL, and Redis across performance, scaling, and disaster recovery.
• Design and implement infrastructure as code using Terraform, Crossplane, and CloudFormation for cloud-native environments.
• Develop and maintain CI/CD pipelines for ML systems, including automated testing and model validation workflows.
• Implement monitoring, logging, and alerting systems using CloudWatch, Grafana, and related observability tools.
• Optimize vector search and embedding systems for retrieval-augmented generation (RAG) use cases.
• Support Kubernetes-based ML workloads including GPU scaling, service mesh, and performance tuning.
• Ensure database security through encryption, IAM policies, TLS configurations, and fine-grained access controls.
• Participate in rotating on-call support for production systems operating in a 24x7 environment.

• 8+ years of experience in platform engineering, infrastructure, or database engineering roles.
• At least 3+ years of hands-on experience in AI/ML infrastructure or production ML systems.
• Strong experience with model serving frameworks such as SageMaker, Bedrock, vLLM, or TGI.
• Deep knowledge of vector databases and search systems, including OpenSearch k-NN indexing and embedding optimization.
• Strong Kubernetes (EKS) experience, including GPU workloads, autoscaling, and distributed system operations.
• Experience designing and operating cloud-native databases such as PostgreSQL, Redis, and document stores at scale.
• Strong understanding of LLM application patterns including retrieval systems, memory management, and agent frameworks (LangChain, LlamaIndex).
• Experience building infrastructure as code using Terraform, CloudFormation, or similar tools.
• Strong expertise in monitoring, observability, and incident response in production environments.
• Solid understanding of database security, encryption, and access control best practices.
• Ability to operate in a high-responsibility, on-call production environment with global coverage requirements.

• Highly competitive compensation package aligned with senior engineering expertise.
• Fully remote working model with structured working hours (Mexico timezone alignment).
• Opportunity to work on cutting-edge AI/ML infrastructure powering global financial institutions.
• Strong culture of ownership, innovation, and technical excellence.
• Comprehensive benefits and rewards program supporting professional and personal well-being.
• Exposure to advanced technologies in AI, machine learning, and large-scale distributed systems.
• Career growth opportunities within a global leader in analytics and decisioning platforms.