Top 69 Machine learning operations architect Jobs in Austin, Tx

Principal Site Reliability Engineer (SRE)
INFINITE CHOICE LLC —Austin, TX
- $180,000 - $210,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- System design
Quick Apply
Senior Software Engineer
DomainTools —Austin, TX
- $150,000 - $180,000 a year
- Full-time
- Remote
- Computer science
- Computer Science
- 3 years
- Health insurance
- Dental insurance
Quick Apply
C++ Software Developer
Oceaneering —Austin, TX
- Full-time
- Computer Science
- System design
- Office
- Paid parental leave
- Health insurance
Software Engineer, Machine Learning
Meta —Austin, TX
- $154,003 - $217,000 a year
- Computer science
- Computer Science
- Java
Director, Compensation
The RealReal —Austin, TX
- $195,000 - $235,000 a year
- Full-time
- Hybrid work
- 7 years
- Office
- Finance
Quick Apply
Senior Platform Engineer
NODA AI —Austin, TX
- Full-time
- Hybrid work
- 5 years
- System design
- Travel
- Dental insurance
- Paid time off
Forward Deployed Engineer IV, Applied AI, Google Cloud
Google —Austin, TX
- $207,000 - $300,000 a year
- Full-time
- Computer science
- Computer Science
- Up to 50% travel
- Paid holidays
- Disability insurance
10d
Principal Solutions Engineer
Wilson, Sonsini, Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Computer Science
- DevOps
- 8 years
Senior AI Engineer- AI Engineering & Operations
Charles Schwab —Austin, TX
- $129,000 - $175,000 a year
- Hybrid work
- Computer Science
- System design
- Office
- Paid parental leave
- Employee stock purchase plan
2d
Solutions Architect
Meta —Austin, TX
- $152,000 - $214,000 a year
- Bachelor of Science
- 8 years
- Bachelor's degree
AI Data Engineer - Manager
Deloitte —Austin, TX
- $130,800 - $241,000 a year
- Full-time
- Azure
- Computer Science
- 5 years
Mechanical Engineer, Advanced Analytics
Google —Austin, TX
- $171,000 - $248,000 a year
- Full-time
- Analysis skills
- Doctor of Philosophy
- Experience equivalent to degree accepted
- Paid holidays
- Disability insurance
14d
Principal Solutions Engineer
Wilson Sonsini Goodrich & Rosati —Austin, TX
- $147,050 - $220,800 a year
- Computer Science
- DevOps
- 8 years
Director, Applied AI
DSV —Austin, TX
- $175,000 - $250,000 a year
- Email
- Remote
- Azure
- Computer Science
- Computer literacy
7d
Solutions Architect, Scaled Operations AI Accelerator Team
Meta —Austin, TX
- $152,000 - $214,000 a year
- Full-time
- Computer Science
- 8 years
- Analysis skills
14d
Senior Product Security Architect
Expedia —Austin, TX
- $184,500 - $295,000 a year
- Full-time
- Computer science
- Computer Science
- AWS
- Health insurance
- Dental insurance
Software Systems Engineer
Meta —Austin, TX
- $144,000 - $204,000 a year
- Computer science
- 6 years
- Computer Science
Staff Field Application Engineer
Tenstorrent —Austin, TX
- $100,000 - $500,000 a year
- Remote
- 5 years
- Computer networking
- Senior level
Software Engineer – AI Core Team
DTN —Austin, TX
- $101,000 - $124,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 3 years
- Health insurance
- Dental insurance
AI Insurance Solutions Architect, Sr. Manager
PRICE WATERHOUSE COOPERS —Austin, TX
- $124,000 - $280,000 a year
- Master's degree
- Databases
- 8 years
- Paid holidays
- Health insurance

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machine learning operations architect jobs near austin, tx

Principal Site Reliability Engineer (SRE)

INFINITE CHOICE LLC
Austin, TX

Quick Apply

Job Details

Full-time
$180,000 - $210,000 a year

Qualifications

Containerization systems
Cost management
Cloud Logging
Incident management
Continuous Delivery (CD) implementation
Infrastructure as Code (IaC)
IT system monitoring
System performance optimization
System design
Configuration management
Application deployment
AI platforms (beyond public GPTs)
Scalable systems
Crisis management (risk management strategy)
Security compliance frameworks implementation
Microservices
System design for system development
Reducing cloud infrastructure costs
Policy & process development
SRE
Incident management operations support
Improving database performance
Systems engineering
Regulatory Frameworks (Architecture security)
Computer networking
Cloud networking
Cloud Native Design
Developing automated testing protocols
Scalability
System development

Full Job Description

About the Role

We're seeking an exceptional Principal Site Reliability Engineer to architect, design, and build our SRE foundation from the ground up at InfiniteChoice. This is a rare greenfield opportunity to establish SRE practices, develop custom tooling, and create the reliability culture that will support our platform serving millions of users and billions in transaction volume.

As our Principal SRE, you'll combine deep technical expertise with strategic vision to build world-class monitoring, observability, and automation systems. You'll have the autonomy to define our SRE processes, select technologies, and create the framework that ensures our systems are reliable, scalable, and performant.

Location: Remote - US based

What You Will Do

SRE Foundation & Process Development

Build SRE practices from scratch - define SLIs, SLOs, error budgets, and reliability metrics
Establish incident response procedures, on-call rotations, and post-mortem processes
Create reliability engineering standards and best practices across all engineering teams
Develop disaster recovery and business continuity strategies
Design and implement capacity planning and performance optimization frameworks

Architecture & Tool Development

Drive architecture decisions for comprehensive application and infrastructure monitoring solutions
Design and develop custom SRE tools for automated monitoring, alerting, and remediation
Build observability platforms that provide deep insights into system performance and user experience
Create automation frameworks for deployment, scaling, and incident response
Architect logging, metrics, and tracing systems for distributed microservices environments

Google Cloud Infrastructure Excellence

Leverage Google Cloud Platform services to build resilient, scalable infrastructure
Implement cloud-native monitoring using Stackdriver, Cloud Monitoring, and Cloud Logging
Design auto-scaling and self-healing systems using GKE, Cloud Functions, and managed services
Optimize cloud costs while maintaining high availability and performance standards
Establish security and compliance frameworks within GCP environments

Innovation & Continuous Improvement

Research and implement cutting-edge SRE tools and methodologies
Leverage AI and machine learning for predictive analytics, anomaly detection, and automated remediation
Create dashboards and reporting systems that provide actionable insights to engineering and business teams
Establish feedback loops for continuous improvement of reliability and performance
Stay current with industry best practices and emerging technologies in the SRE space

What You Must Have

SRE & Infrastructure Expertise

12+ years of experience in Site Reliability Engineering or Infrastructure Engineering
5+ years in lead SRE roles building and scaling SRE teams and processes
Proven track record designing and implementing monitoring and observability solutions at scale
Deep understanding of distributed systems, microservices architectures, and cloud-native patterns
Experience with infrastructure as code, configuration management, and deployment automation

Google Cloud Platform Proficiency

Hands-on experience with Google Cloud Platform is required
Expertise with GCP monitoring and observability stack (Cloud Monitoring, Cloud Logging, Cloud Trace)
Experience with GKE, Compute Engine, Cloud Functions, and other core GCP services
Knowledge of GCP networking, security, and compliance capabilities
Understanding of GCP cost optimization and resource management

Technical Skills

Strong programming skills in Python, Go, Java, or similar languages
Experience with monitoring tools (Prometheus, Grafana, Datadog, New Relic, or similar)
Proficiency with containerization (Docker, Kubernetes) and orchestration platforms
Knowledge of CI/CD pipelines, automated testing, and deployment strategies
Understanding of database performance tuning and optimization (SQL and NoSQL)

AI & Automation

Familiarity with AI-driven development tools and methodologies is a huge plus
Experience with machine learning for operations (AIOps), anomaly detection, or predictive analytics
Knowledge of automated incident response and self-healing systems
Understanding of AI/ML tools for log analysis, pattern recognition, and intelligent alerting

Problem-Solving & Mindset

Strong analytical and troubleshooting skills for complex distributed systems
Experience with high-pressure incident response and crisis management
Detail-oriented with commitment to operational excellence and continuous improvement
Comfortable with ambiguity and building processes in a fast-growing environment
Passion for reliability, automation, and engineering best practices
Demonstrated experience building SRE programs and processes from the ground up is a HUGE plus

Education

Bachelor's degree in Computer Science, Engineering, or equivalent professional experience
Industry certifications (Google Cloud Professional, SRE or related certifications preferred)

What We Offer

Ground-floor opportunity to build SRE practices and culture from scratch
Full autonomy to define processes, select technologies, and establish best practices
Direct impact on platform reliability serving millions of users
Opportunity to create lasting engineering culture and operational excellence
Remote-first culture with in-person meeting in Dallas, TX on need basis
Collaborative environment with smart, passionate engineers and cross-functional teams
Access to cutting-edge technologies and AI-driven development tools
Competitive compensation, equity participation, and comprehensive benefits

Ready to Build World-Class Reliability?

Join us in creating the SRE foundation that will power InfiniteChoice's next phase of growth. If you're passionate about reliability engineering, love building systems from scratch, and want to establish the operational excellence that scales with our business, we'd love to hear from you.

About InfiniteChoice

InfiniteChoice was founded to help people find the experiences they want simply and effortlessly. We leverage a new type of business model and platform that uniquely applies automation and technology to solve the challenges of scale and complexity in experience discovery.

Existing business and marketing technologies can no longer handle the demands of connecting millions of consumers with vast inventories of experiences across a fragmented, global marketplace of people, partners, and providers.

Our mission is to disrupt this status quo by creating seamless connections between consumers and experiences. We're just at the beginning of this journey, but our approach is working: we've helped over 275 million visitors connect to millions of experiences, generating over $2 billion in revenue for our brands and partners.

Quick Apply

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machine learning operations architect jobs in austin, tx