Software Engineer, DevOps Austin, TX

The Role: Build and maintain the infrastructure that powers our AI-driven platform. Architect scalable cloud systems that handle real-time data synchronization, manage complex integration pipelines, and ensure enterprise-grade reliability as we scale. You WillDesign and implement cloud infrastructure for AI-powered applications with strict performance requirements (sub-20ms response times) Build and maintain CI/CD pipelines for rapid, reliable deployments across multiple environments Architect and manage vector database infrastructure optimized for semantic search and retrieval at scale Implement monitoring, alerting, and observability systems to ensure platform reliability and performance Design and maintain infrastructure for real-time data synchronization across multiple third-party integrations Build automated scaling solutions to handle dynamic workloads and traffic patterns Implement security best practices including namespace isolation, encryption, and access control Develop infrastructure-as-code solutions for reproducible, version-controlled deployments Optimize database performance, including PostgreSQL tuning and vector database optimization Collaborate with engineering teams to establish DevOps best practices and improve deployment velocity Manage disaster recovery strategies and ensure high availability across all critical systems Must Have 4+ years of experience in DevOps, SRE, or infrastructure engineering Strong proficiency with cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, Pulumi, or similar) Experience with container orchestration (Kubernetes, Docker) and microservices architecture Solid understanding of CI/CD pipelines and automation tools (GitHub Actions, GitLab CI, Jenkins, or similar) Proficiency with monitoring and observability tools (Datadog, New Relic, Prometheus, Grafana, or similar) Experience with database management and optimization (PostgreSQL, Redis, or similar) Strong scripting skills in Python, Bash, or similar languages Understanding of networking, security, and access control best practices Experience with version control systems and GitOps workflows

Nice to Have: Experience deploying and managing vector databases (Pinecone, Weaviate, Qdrant, or similar) Background in infrastructure for AI/ML systems or LLM applications Experience with real-time data pipeline infrastructure (Kafka, RabbitMQ, or similar) Knowledge of API gateway management and rate limiting strategies Familiarity with compliance frameworks (SOC 2, GDPR, HIPAA) Experience with multi-tenant SaaS architecture and namespace isolation Understanding of cost optimization strategies for cloud infrastructure Experience with serverless architectures and edge computing Background in high-availability systems with strict uptime requirements Knowledge of webhook infrastructure and event-driven architectures Benefits & CompensationCompetitive salary and equity package Health, dental, and vision insurance 401(k) with company match Flexible PTO policy Remote-friendly work environment Opportunity to shape infrastructure at an early-stage company Due to our current development phase, additional product details will be shared during the interview process.