Software Engineer, DevOps Austin, TX ↗

About this role

Software Engineer, DevOps

Austin, TXHybrid

EnterpriseUniversity

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About Haleos

We're building the operating system for how companies are founded and scaled. Haleos develops JaneOS1 and AtlasOS1 — AI that carries context across the whole journey, not a single chat. We're solving fundamental challenges in the entrepreneurial and organizational stack with production AI systems.

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 Will

• Design 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 & Compensation

• Competitive salary and equity package
• Health, dental, and vision insurance
• 401(k) with company match
• Flexible PTO policy
• Remote-friendly work environment
• Professional development budget
• 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.