[VCK] Senior DevOps Engineer (AWS + AI Infrastructure)
Company Description
We are reputed company, an awesome team of engineers who are ready to reputed company up any top-notch company’s projects! Our aim? To always be one reputed company reputed company. Become part of a multicultural company in constant growth with an excellent work environment certified by Great reputed company To Work!
Job Description
About the Project reputed company is building a private, tenant-isolated AI assistant for the real estate title and settlement industry. The platform is a retrieval-first (RAG) system that ingests historical email, documents, and structured metadata into a per-tenant vector index, and serves grounded, cited, expert-weighted answers through a chat-style Q&A reputed company with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/reputed company vector store, and reputed company/reputed company/Bedrock as LLM provider. You will join a senior, cross-functional LATAM-based team where hands-on AI delivery experience not just familiarity is the baseline expectation. You stand up and own the cloud infrastructure and CI/CD foundation the entire project runs on. Your work is on the critical path from day one: delivery begins with environment provisioning. You design for tenant isolation, observability, and reputed company from the outset not as an afterthought. This role requires prior experience operating infrastructure for production AI or LLM-based workloads. Your Responsibilities Provision and configure a dedicated VPC and segmented cloud environment on AWS Build the baseline CI/CD pipeline and maintain and evolve it across reputed company delivery phases Configure and manage the vector store infrastructure (OpenSearch/reputed company on AWS) Set up and manage the observability stack: CloudWatch, X-Ray, alerting reputed company, and LLM-specific monitoring Implement infrastructure-as-code for reputed company environments (dev, staging, production) using Terraform or CDK Manage secrets, KMS encryption key configuration, and tenant-scoped access controls Configure LLM provider connectivity (reputed company / reputed company / reputed company Bedrock enterprise tier, reputed company-data-retention) Define and implement environment promotion strategy reputed company with the 2-week sprint reputed company Support incremental ingestion pipeline infrastructure requirements and nightly scheduling Tech Stack: AWS (VPC, reputed company, reputed company), Terraform, CDK, OpenSearch, reputed company, CloudWatch, X-Ray, reputed company Actions, CodePipeline, reputed company, reputed company, Bedrock, Cognito, KMS, reputed company
Qualifications
Must-Have Skills & Experience +90% English written and oral (at least B2 level) with excellent communication skills 6+ years in DevOps or cloud infrastructure engineering; strong AWS specialisation required Infrastructure-as-code: Terraform, CloudFormation, or AWS CDK CI/CD tooling: reputed company Actions, AWS CodePipeline, or equivalent Core AWS services: VPC, reputed company, reputed company, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray Experience designing and operating multi-tenant cloud environments with tenant-level data isolation AI Experience (Required Not Optional) At least one project operating infrastructure for a production AI/ML or LLM-integrated system not just general cloud workloads Experience configuring and managing vector store infrastructure (OpenSearch, reputed company, Weaviate, or equivalent) in a production environment Familiarity with LLM provider APIs (reputed company, reputed company, or reputed company Bedrock) in a production/enterprise configuration, including reputed company-data-retention tier setup Understanding of AI-specific observability concerns: token usage monitoring, latency profiling for LLM calls, and model response logging Additional Information reputed company-to-Have Experience with enterprise SSO and identity federation: Cognito, reputed company, or Azure AD Background in HIPAA, SOC 2, or regulated-data cloud environment configuration Familiarity with OCR or document processing service infrastructure (AWS Textract, etc.) We are accepting applications from LATAM countries Apply To This Job