We're an AI startup revolutionizing how professionals work by building cutting-edge productivity solutions that enterprises trust. Our platform serves Fortune 500 companies and scaling businesses that demand reliability, security, and innovation.

We're seeking a Senior Software Architect to lead the design and evolution of our enterprise-grade AI platform. You'll be the technical visionary who ensures our architecture can scale from serving thousands enterprise users while maintaining the security, reliability, and performance that business customers demand.

• Design and evolve our multi-tenant SaaS architecture
• Architect secure, scalable AI/ML pipelines that process millions of documents daily while ensuring data privacy and compliance
• Define and implement API strategies that enable both internal development velocity and external partner integrations
• Establish architectural patterns and best practices that empower teams to build independently while maintaining system coherence

• Build critical platform services using Python (FastAPI/Django) that form the backbone of our infrastructure
• Design event-driven architectures using AWS services (EventBridge, SQS, SNS, Kinesis) for real-time data processing
• Implement robust data architectures balancing operational and analytical workloads across RDS, DynamoDB, S3, and Redshift
• Create infrastructure as code using AWS CDK (Python) that enables rapid, reliable deployments across multiple environments

• Partner with Product and executive team to translate business requirements into scalable technical solutions
• Lead architectural reviews and create decision records that balance innovation with technical debt management
• Drive technical due diligence for enterprise customers, articulating our security and compliance posture

• 8+ years of software development experience with at least 3 years in architect-level roles
• Deep expertise building production systems on AWS, including compute (ECS/EKS/Lambda), data (RDS/DynamoDB/S3), and messaging services
• Advanced Python proficiency including async patterns, performance optimization, and experience with FastAPI, Django, or similar frameworks
• Proven track record designing systems that handle 100K+ requests/second or process petabyte-scale data
• Experience with enterprise requirements: SOC2, GDPR, SSO/SAML, audit logging, and data residency
• Strong background in API design, microservices patterns, and event-driven architectures
• Hands-on experience with Infrastructure as Code, CI/CD pipelines, and DevOps practices
• Conversational level English proficiency required

• System design expertise: distributed systems, CAP theorem, consistency models, scaling patterns
• Security architecture: zero-trust networks, encryption, secrets management, IAM best practices
• Data architecture: OLTP/OLAP systems, streaming architectures, data lakes, ETL/ELT pipelines
• Observability: distributed tracing, metrics, logging, and building SLI/SLO frameworks
• Cost optimization: FinOps practices, reserved capacity planning, architectural cost modeling

• Background in building multi-tenant SaaS platforms with complex isolation requirements
• Contributions to open-source projects or technical writing/speaking experience
• Experience with compliance frameworks (HIPAA, PCI-DSS, FedRAMP)
• Startup experience with rapid scaling challenges

• Competitive base salary: R$ 200,000 - R$ 325,000 annually (20% increase after 6 months based on performance)
• Equity package with high growth potential
• Flexible remote work with quarterly team gatherings
• Opportunity to shape the technical direction of a modern AI-first startup

• Languages: Python (primary), TypeScript
• Infrastructure: AWS (ECS, EKS, Lambda, RDS, DynamoDB, S3, CloudFront)
• Frameworks: FastAPI, Django, React, Next.js
• Data: PostgreSQL, DynamoDB, Redis, Elasticsearch, Apache Kafka
• DevOps: GitHub Actions, ArgoCD, Datadog, PagerDuty, Terraform/CDK

Interested? Reply directly to this post with your resume. We're looking forward to learning about the most challenging architectural problems you've solved and how you can help shape our technical future.