Software Mind
Technology
SeniorDevOpsEngineerAWS/AIInfrastructure
Neural analysis suggests this role is
optimal for mid candidates.
“Senior DevOps Engineer AWS / AI Infrastructure at Software Mind. Skills: AWS Infrastructure, CI/CD, AI Infrastructure, LLM Operations. Provision and configure VPC. Build baseline CI/CD pipeline”
Industry & Context.
What They're Looking For.
Must Have
6+ years in DevOps, AWS specialisation, Infrastructure-as-code, CI/CD tooling, Core AWS services, Multi-tenant cloud environments, Tenant-level data isolation, Operating infrastructure for production AI/ML or LLM-integrated system, Configuring and managing vector store infrastructure, Familiarity with LLM provider APIs, Zero-data-retention tier setup, AI-specific observability concerns
Nice to Have
Enterprise SSO, Identity federation, HIPAA, SOC 2, Regulated-data cloud environment configuration, OCR, Document processing service infrastructure
What You'll Do.
Provision and configure VPC
Build baseline CI/CD pipeline
Maintain and evolve CI/CD pipeline
Configure and manage vector store infrastructure
Set up observability stack
Manage alerting thresholds
Manage LLM-specific monitoring
Implement infrastructure-as-code
Manage KMS encryption key configuration
Manage tenant-scoped access controls
Configure LLM provider connectivity
Define environment promotion strategy
Implement environment promotion strategy
Support ingestion pipeline infrastructure requirements
Support nightly scheduling
How You'll Work.
Team & Collaboration
Senior cross-functional team; LATAM-based team
Process & Methodology
Agile, 2-week sprint cadence
Full Job Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work! About the Project Software Mind 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 interface with single sign-on and full audit logging. The platform is AWS-native with a Python/FastAPI backend, Vue.js frontend, OpenSearch/Pinecone vector store, and OpenAI/Anthropic/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 security 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 all delivery phases * Configure and manage the vector store infrastructure (OpenSearch/Pinecone on AWS) * Set up and manage the observability stack: CloudWatch, X-Ray, alerting thresholds, and LLM-specific monitoring * Implement infrastructure-as-code for all environments (dev, staging, production) using Terraform or CDK * Manage secrets, KMS encryption key configuration, and tenant-scoped access controls * Configure LLM provider connectivity
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