In-Demand Cloud customer experience engineer 2 Jobs in Parramatta, Nsw

Sr. Specialist Solutions Architect
Databricks —Sydney NSW
- Azure
- Computer Science
- AWS
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Security Engineering Lead
Dovetail —Sydney NSW
- Full-time
- AWS
- AI
- Parental leave
- Vision insurance
7d
Principal Strategist, Inspire Value
ServiceNow —Sydney NSW
- Full-time
- Hybrid work
- Management
- AI
Quick Apply
12d
Quality Engineer
Squiz —Sydney NSW
- Full-time
- Hybrid work
- AWS
- Analysis skills
- Agile
Quick Apply
1h
Associate Cloud Operations Engineer
Nuix —Sydney NSW
- On call
- Hybrid work
- AWS
- Scripting
- Communication skills
2h
Developer Experience Manager
Nuix —Sydney NSW
- Hybrid work
- Management
- DevOps
- AWS
2h
Research & Development Engineer
HEO —Sydney NSW
- $140,000 - $165,000 a year
- Full-time
- Doctoral degree
- Engineering
- AWS
- Parental leave
Quick Apply
5h

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cloud customer experience engineer 2 jobs near parramatta, nsw

Sr. Specialist Solutions Architect

Databricks -
Sydney NSW

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Job Details

Qualifications

Azure
Computer Science
Google Cloud Platform
AWS
AI
Pre-sales
Teaching

Full Job Description

FEQ427R339

Location: Melbourne or Sydney

As a Specialist Solutions Architect (SSA), you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

The impact you will have:

Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems
Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains
Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks
Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks' AI offerings

What we look for:

5+ years of hands-on industry ML experience in at least one of the following:
- ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
- AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
Passion for collaboration, life-long learning, and driving business value through ML & AI
[Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role
Can meet expectations for technical training and role-specific outcomes within 3 months of hire
Can travel up to 30% when needed

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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Refine Your Search

cloud customer experience engineer 2 jobs in parramatta, nsw

Sr. Specialist Solutions Architect

Security Engineering Lead

Principal Strategist, Inspire Value

Quality Engineer

Associate Cloud Operations Engineer

Developer Experience Manager

Research & Development Engineer

Other jobs to consider

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