Infrastructure Engineer

Vantaca, LLC; Redwood City, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Job summary

HOAi, now part of Vantaca, is seeking an AI Infrastructure Engineer to scale and maintain the infrastructure powering our AI-driven products. You will work at the intersection of infrastructure, MLOps, and product development, ensuring reliability, performance, and cost efficiency across AI services.

Ideal candidates bring 8+ years in infrastructure, strong cloud expertise, and experience with model serving, GPU optimization, and real-time inference.

Qualifications

• 8+ years in infrastructure engineering, DevOps, or SRE.
• Strong cloud platform expertise.
• Experience building and maintaining deployment pipelines.
• Experience with PostgreSQL, Redis, or other production databases.
• Experience with APM tools, metrics, logging, and alerting.
• Familiarity with vector databases and model serving frameworks.
• Managing and optimizing GPU work.
• Real-time inference with low-latency serving infrastructure.
• LLM deployment and performance improvements.

Responsibilities

• Profile and optimize AI workloads and pipelines for latency and cost.
• Build and maintain scalable, reliable cloud infrastructure.
• Develop CI/CD pipelines for models from development to production.
• Monitor and improve GPU utilization and memory usage.
• Design auto-scaling and disaster-recovery strategies.
• Ensure security and compliance across AI infrastructure.
• Collaborate with product and engineering for rapid feature deployment.

Skills

Cloud platforms

DevOps/SRE

GPU optimization

LLM deployment

PostgreSQL/Redis

Observability

Auto-scaling

Model serving frameworks

Vector databases

Security/compliance

Tools

CI/CD pipelines

Model deployment

Vector databases

APM tools

Job description

Description

HOAi is a fast-growing startup revolutionizing the community association management industry. Our AI workforce platform integrates machine learning technology to streamline labor-heavy processes, eliminating inefficiencies and driving scalability. With rapid growth in the AI space, we are pushing boundaries to redefine industry standards.

HOAi is the leading AI solution for the community association management industry, enabling organizations to deploy AI Agents that function like experienced managers. These AI Agents go beyond traditional AI by proactively executing complex, multi-step processes with human-like reasoning—working autonomously, 24/7, across your entire operation. This transformation optimizes labor costs, enables growth without additional hires, and ensures faster, higher-quality service for residents and board members.

HOAi was acquired by Vantaca in the fall of 2024. Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company – we're rebuilding the category-defining platform that will transform how an entire industry operates.

Here's the reality of our trajectory:

• Growing 100% year-over-year
• Our AI product (HOAi) went from $0 to millions in months
• Backed by Cove Hill Partners and JMI Private Equity
• 6M+ doors on our platform, displacing legacy systems

Overview

The AI Infrastructure Engineer at HOAi is responsible for scaling and maintaining the infrastructure that powers our AI-driven products and services. This role sits at the intersection of infrastructure engineering, machine learning operations, and product development, ensuring our AI systems operate with exceptional reliability, performance, and efficiency. The ideal candidate is someone who gets excited about making AI systems fundamentally faster and more scalable. You'll work directly with our engineering and product teams to build the foundational infrastructure that enables HOAi to deliver the most advanced AI product in the community association management industry.

Accountability Key Initiatives

• Infrastructure Ownership: Design, build, andmaintainthe cloud architecture, model serving infrastructure, and ML pipelines that powerHOAi'sproducts
• Performance Optimization: Profile andoptimizeAI workloads to achieve sub-second inference latency while managing costs effectively
• Scalability & Reliability: Build auto-scaling systems, implement robust failover mechanisms, and ensure 99.99% uptime for mission-critical AI services
• MLOpsExcellence: Develop andmaintainCI/CD pipelines for model deployment, monitoring, and versioning across development and production environments
• Developer Enablement: Create tooling and infrastructure that allows product engineers to deploy AI features quickly and safely
• Security & Compliance: Implement security best practices and ensure compliance requirements are met across all AI infrastructure

Expectations for Success

• Infrastructure uptime and reliability
• AI inference latency (p95, p99) and throughput metrics
• Infrastructure cost efficiency and optimization (cost per inference, GPUutilization)
• Time to deploy new models and workflows (deployment velocity)
• Developer satisfaction and productivity using AI infrastructure tools
• System observability and incident response time

Responsibilities

Performance & Scalability

• Profile andoptimizedatabase queries, API endpoints, and ML inference pipelines
• Implement caching strategies, connection pooling, and distributed systems for scale
• Monitor andoptimizeGPUutilization, memory usage, and compute costs
• Design load balancing and auto-scaling policies for variable AI workloads
• Build disaster recovery systems with redundancy

MLOps & Deployment

• Build andmaintainCI/CD pipelines specifically for model deployment
• Implement model versioning, A/B testing infrastructure, and rollout mechanisms
• Create automated testing frameworks for model quality and performance regression
• Develop infrastructure for model monitoring, drift detection, and retraining workflows
• Manage experiment tracking and model registry systems

Observability & Reliability

• Implement comprehensive monitoring, logging, and alerting across the AI stack
• Refinedashboards for real-time visibility into system health and performance
• Conduct post-mortems and implement reliability improvements
• Design circuit breakers, retry logic, and graceful degradation for critical services

Security & Compliance

• Refinesecurity best practices for AI infrastructure and data handling
• Ensure compliance with data privacy regulations and industry standards
• Manage credentials and access control across infrastructure
• Supportsecurity audits and vulnerability assessments

Collaboration & Documentation

• Work closely with Product & Engineering team to understand infrastructure needs and to enable fast, safe feature deployment
• Document infrastructure architecture, runbooks, and operational procedures
• Mentor team members on infrastructure best practices and tooling
• Contribute to technical strategy and architectural decisions

Requirements

Required Experience

• 8+years of experience in infrastructure engineering, DevOps, or SRE
• Strong cloud platformexpertise
• Experience building andmaintaining deployment pipelines
• Experience with PostgreSQL, Redis, or other production databases
• Experience with APM tools, metrics, logging, and alerting
• Familiarity with vector databases, model serving frameworks and cross-system observability and traceability
• Managing andoptimizing GPU work
• Real-time inference with low-latency serving infrastructure
• LLM deployment
• Track record of achieving 10x performance improvements

Skills & Competencies

• Able to debug complex distributed systems and find root causes
• Obsessed with latency, throughput, and resource efficiency
• Defaults to automating repetitive tasks and building scalable solutions
• Understands security implications and implements best practices
• Able to explain complex technical concepts clearly
• Works effectively across teams and functions
• Takes initiative to identify and solve problems before they become critical
• Comfortable with ambiguity and changing priorities in a fast-moving startup
• Supporting A/B deployment strategy

Mindset & Approach

• Extreme ownership: Takes full responsibility for outcomes, not just inputs
• Customer-focused: Understands how infrastructure decisions impact end‑user experience
• Data-driven: Makes decisions based on metrics and evidence
• Continuous learner: Stays current with evolving technologies and best practices
• Quality-focused: Builds systems that are reliable, maintainable, and elegant
• Velocity‑minded: Balances speed with quality; ships incrementally and iterates
• Bar raiser: Sets and maintains high standards; elevates team performance and output quality
• Strong delegator: Empowers others effectively; distributes work based on strengths and growth opportunities

Core Values

• Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow.
• Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together.
• Accountability Starts with Me: Notices problems and takes personal action to solve them.
• Unwavering Commitment to Customer Experience: Regularly talks to customers, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes.
• Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success.

The HOAi Way

• Shoot for Impossible and Make it Happen: Sets audacious goals that others might see as unreachable and breaks them into actionable steps. Relentlessly perseveres through obstacles with resourcefulness and determination, turning ambitious vision into tangible results.
• Radical Candor Leads to Humble Excellence: Gives and receives direct, honest feedback with genuine care for others' growth. Stays open-minded on the path to continuous improvement, recognizing that the best outcomes come from carrying no ego.
• Hire and Develop the Best Talent: Actively seeks exceptional people who raise the bar and invests deeply in their growth. Creates opportunities for team members to stretch their capabilities, providing coaching and support that helps them reach their full potential.

Why You Should Join Our Team

• Our eNPS is +68! (Google it, that is great).
• Benefits: Medical, Dental, and Vision kick in day one.
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year).
• 401K with Company Match.
• Remote Flexible - come to the office when needed.
• Great parental leave benefits.
• Named on Inc 5000 list of America’s Fastest Growing Private Companies.
• Named on Inc 5000 Vet 100 Private Companies list multiple years in a row.
• Winner of Coastal Entrepreneur Award, Technology Category.
• Active employee-led Culture Committee.
• Ongoing industry and professional development trainings available to all employees.
• Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community.
• We’re playing offense to win! Our product market fit and our world‑class employees make us the leader in our space. We’re building something cool and people like it here.