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.