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!
Job DescriptionAbout 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 (OpenAI / Anthropic / Amazon Bedrock enterprise tier, zero-data-retention)
Define and implement environment promotion strategy aligned with the 2-week sprint cadence
Support incremental ingestion pipeline infrastructure requirements and nightly scheduling
Qualifications
Must-Have Skills & Experience
6+ years in DevOps or cloud infrastructure engineering; strong 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 with tenant-level data isolation
Nice-to-Have
Experience with enterprise SSO and identity federation: Cognito, Okta, 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
#LI-DNI
Skills Required
- 6+ years in DevOps or cloud infrastructure engineering with strong AWS specialization
- Prior experience operating infrastructure for production AI or LLM-based workloads / hands-on AI delivery experience
- Infrastructure-as-code experience: Terraform, CloudFormation, or AWS CDK
- CI/CD tooling experience: 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 with tenant-level data isolation
- Configure and manage vector store infrastructure (OpenSearch or Pinecone)
- Manage secrets and AWS KMS encryption key configuration
- Configure LLM provider connectivity (OpenAI, Anthropic, Amazon Bedrock) with enterprise requirements
- Experience with enterprise SSO and identity federation (Cognito, Okta, Azure AD)
- Background in HIPAA, SOC 2, or regulated-data cloud environment configuration
- Familiarity with OCR/document processing infrastructure (AWS Textract)
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
