Software Engineer, DevOps Austin, TX

Haleos, Inc.; Austin (TX); Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity package

Health, dental, and vision insurance

401(k) with company match

Flexible PTO

Remote-friendly work environment

Early-stage impact

Job summary

Haleos, Inc. is building JaneOS1 and AtlasOS1, AI-powered platforms that carry context across the entrepreneur journey.

We seek a DevOps/Infrastructure Engineer to design and maintain the cloud infrastructure that powers our AI-driven platform, ensuring real-time data synchronization and enterprise-grade reliability as we scale. You will implement CI/CD pipelines, manage vector database infrastructure, optimize PostgreSQL, and collaborate with teams to adopt DevOps best practices.

Qualifications

• 4+ years of DevOps, SRE, or infrastructure engineering experience.
• Proficiency with cloud platforms (AWS, GCP or Azure) and IaC tools.
• Experience with Kubernetes and Docker for microservices.
• Solid understanding of CI/CD and automation tooling.
• Strong monitoring/observability experience with modern tools.
• Experience with PostgreSQL/Redis and database tuning.
• Scripting skills in Python or Bash.

Responsibilities

• Design and implement scalable cloud infrastructure for AI-powered apps.
• Build and maintain CI/CD pipelines across environments.
• Manage vector database infrastructure for semantic search at scale.
• Implement monitoring and observability for reliability and performance.
• Secure infrastructure with namespace isolation, encryption, and access control.
• Develop infrastructure-as-code solutions for reproducible deployments.
• Optimize database performance and vector DB tuning.
• Collaborate on DevOps best practices and improve deployment velocity.
• Plan disaster recovery and ensure high availability.

Skills

DevOps/SRE experience

Cloud platforms (AWS/GCP/AZ)

IaC tools (Terraform/Pulumi)

Container orchestration (Kubernetes/Dx

CI/CD pipelines

Monitoring/Observability

Database management/optimization

Scripting (Python/Bash)

Networking/Security

GitOps/Version control

Job description

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
• 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.