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, DevOps, AI Infrastructure, LLM Operations. Provision and configure VPC. Segment cloud environment on AWS”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
6+ years in DevOps, AWS specialisation required, Infrastructure-as-code: Terraform, CloudFormation, or AWS CDK, CI/CD tooling: GitHub Actions, AWS CodePipeline, or equivalent, Core AWS services: VPC, ECS, Lambda, S3, DynamoDB, API Gateway, Cognito, CloudWatch, X-Ray, Experience designing and operating multi-tenant cloud environments, Tenant-level data isolation, At least one project operating infrastructure for a production AI/ML or LLM-integrated system, Experience configuring and managing vector store infrastructure, Familiarity with LLM provider APIs, Zero-data-retention tier setup, Understanding of AI-specific observability concerns
Nice to Have
Experience with enterprise SSO, Experience with identity federation, Background in HIPAA, Background in SOC 2, Background in regulated-data cloud environment configuration, Familiarity with OCR, Familiarity with document processing service infrastructure
What You'll Do.
Provision and configure VPC
Segment cloud environment on AWS
Build baseline CI/CD pipeline
Maintain CI/CD pipeline
Evolve CI/CD pipeline
Configure vector store infrastructure
Manage vector store infrastructure
Set up observability stack
Manage observability stack
Implement infrastructure-as-code
Configure KMS encryption key
Manage tenant-scoped access controls
Configure LLM provider connectivity
Define environment promotion strategy
Implement environment promotion strategy
Support ingestion pipeline infrastructure
Schedule nightly ingestion
How You'll Work.
Team & Collaboration
Cross-functional LATAM team
Process & Methodology
Agile, Scrum
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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