About Haleos
We're building the future of how startups are built and scaled. Haleos is developing a comprehensive AI-powered platform that transforms the startup journey through intelligent guidance and systematic approaches. We're solving fundamental challenges in the entrepreneurial ecosystem using cutting-edge artificial intelligence.
The Role
As a DevOps Engineer, you will build and maintain the infrastructure that powers our AI-driven platform. You'll architect scalable cloud systems that handle real-time data synchronization, manage complex integration pipelines, and ensure enterprise-grade reliability. Your work will enable our platform to scale from early adopters to thousands of users while maintaining exceptional performance and security standards.
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
Note: Due to our current stealth development phase, additional product details will be shared during the interview process.
