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About the Role
As our Site Reliability Engineer, you’ll be responsible for building and operating the reliable, scalable systems that underpin Timescapes’ product and engineering teams. This is a broad, hands-on role spanning traditional site reliability engineering, ML platform architecture and the applied use of AI to improve engineering operations.
Responsibilities
- Owning the availability, performance and resilience of our production systems, with a pragmatic approach to capacity, risk, cost and operational readiness.
- Defining meaningful SLIs and SLOs, strengthening instrumentation and alerting, and making system behaviour easier to understand before customers are affected.
- Participating in and improving on-call practices, leading effective incident response and turning post-incident learning into durable improvements rather than temporary fixes.
- Improving cloud infrastructure, deployment pipelines and environment management so engineers can ship safely with less operational toil.
- Driving the architecture that supports data preparation, model training, evaluation, deployment, monitoring and iteration, in close partnership with our AI / ML engineers.
- Identifying and implementing AI-enabled tools and workflows that accelerate diagnosis, improve operational decision-making and remove repetitive work across engineering.
- Working closely with the Software, AI, Product and Hardware teams to make sound trade-offs across reliability, security, developer experience, scalability and cost.
Requirements
- You’ve built and operated customer-facing systems and helped design or run production ML infrastructure.
- You’re comfortable diagnosing complex failures and supporting production software.
- You can write maintainable software, automate infrastructure and reason across distributed systems, networking, cloud services and data-intensive workloads.
- You’re focused on ensuring that Timescapes gets genuine value from engineering investments.
- You use methodologies, best practices and patterns as tools, but never let them get in the way of great customer outcomes.
- You care about the details and take pride in sharing the rationale for your decisions.
- You question things that don’t make sense, and you expect others to do the same.
- You don’t expect to nail the solution on the first attempt.
- You’re comfortable discarding ideas, learning from production and treating the first release as the beginning.
- You know that what worked in the past may not work in the future.
- You’re not deterred by ambiguity, and you’re excited about trying new things and finding your way through.
- You communicate clearly and succinctly, build strong working relationships and are equally comfortable on Slack / email, video calls and in person.
Skills
- Site Reliability Engineering
- ML platform architecture
- Applied AI
- Cloud infrastructure
- Deployment pipelines
- Environment management
- Data preparation
- Model training
- Model evaluation
- Model deployment
- Model monitoring
- Model iteration
- AI-enabled tools
- AI-enabled workflows
- Distributed systems
- Networking
- Cloud services
- Data-intensive workloads
- Computer vision infrastructure
- Media-heavy data pipelines
- GPU workloads
- Multimodal models
- Edge environments
- Cloud environments
- Applied AI tooling
- LLMs
- Developer workflows
- Observability
- Incident response
- Engineering operations
Location
- Austin, TX
Work Type
- Hybrid
Experience Level
- Senior
About the Company
- Founded in New Zealand in 2017, Timescapes is a visual progress tracking solution for complex construction projects.
- Our mission is to simplify construction through shared visibility.
- Customers love Timescapes because it helps them stay on schedule, validate construction claims and communicate progress more effectively.
- We’re a rapidly growing company, and are used by some of the largest construction firms across Australia, Canada, New Zealand and the United States.
- We’re deliberate and thoughtful in everything that we do, and we emphasise awareness, care and quality in our approach to product development.