Software Mind

Technology

SeniorDevOpsEngineerAWS/AIInfrastructure

$15000–25000k ~AI est. Buenos Aires, Buenos Aires, Argentina FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“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.

Technology
Problems you'll solve

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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