Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
ServiceNow Business Analyst gathering requirements and supporting ITSM/ITOM implementations in Sydney. Involves stakeholder workshops, process mapping, and documenting user stories/BRDs for service management solutions.
Senior engineer who partners with enterprise customers to design, build, and deploy end-to-end data and AI solutions on the Databricks platform, traveling 20% of the time.
Build and deploy AI agents using LLMs, React frontends, and Python middleware, integrating with backend services and ensuring production readiness.
Act as a trusted advisor to C-suite clients, scoping multi-million-dollar data/AI projects, defining pilots, and driving end-to-end delivery of Databricks solutions.
The Senior Forward Deployed Engineer works directly with customers to design, build, and productionize data and AI solutions using the Databricks platform. This role involves leading technical architecture, managing project delivery, and collaborating cross-functionally to drive customer success and product adoption.
Safeguard IT and OT systems, monitor threats, operate cybersecurity tools, perform hardening/patching, coordinate SOC incident response, and support audits at a data center operator.
This role safeguards enterprise systems in IT and OT environments by operating tools like SIEM, EDR, and IDS/IPS. It focuses on monitoring threats, managing vulnerabilities, and ensuring compliance within a data center setting.
The role involves setting up and supporting a Quantexa demo/sandbox environment on Azure, requiring Kubernetes administration, infrastructure deployment, and Azure service configuration skills.
You will act as a trusted advisor and expert solution architect for the Databricks Data Intelligence Platform, guiding customers through complex data challenges and pre-sales cycles.
A hands-on, customer-facing engineer who designs and builds end-to-end data and AI solutions on Databricks for enterprise clients, traveling 20% of the time.
Guides customers in cloud data warehousing transformation using Databricks' lakehouse architecture, requiring hands-on production experience with large-scale data warehousing technologies.
The Senior Field Technical Program Manager leads complex customer engagements for Databricks' Forward Deployed Engineering team, managing project scope, risks, and technical strategy. This role requires strong program management and communication skills to guide cross-functional teams and ensure successful delivery of data and AI solutions.
The Senior Technical Program Manager will lead professional services engagements for Databricks, managing project delivery, stakeholder relationships, and commercial outcomes for enterprise data and AI/ML projects. The role involves overseeing cross-functional teams, driving project governance, and identifying expansion opportunities within key accounts.
Design and implement big-data architectures for customers using Databricks’ platform, APIs, and open-source tools like Spark and MLflow, while guiding technical teams on best practices.
Designs and implements big-data and AI solutions for customers using Databricks’ Lakehouse platform, Apache Spark, and cloud services, while advising on architecture and driving adoption.
Lead a team building secure, high-performance Rust services that harden MongoDB’s pre-authentication attack surface and respond to emerging threats.
Build SQL interfaces and connectors (JDBC, ODBC) for MongoDB using Rust, Java, and Go to bridge the document data model with SQL-based tools.
Design and implement big-data architectures for financial services customers using Databricks’ platform, open-source tools like Spark and MLflow, and public clouds.
Senior Solutions Architect at Databricks partners with enterprise clients to drive adoption of the company's data and AI platform, leading technical strategy and mentoring teams to transform businesses using big data and ML.
Designs and promotes Databricks' Lakebase product line to enterprise clients in Germany, advising on OLTP databases, lakehouse architectures, and cloud integrations to drive adoption and revenue.
We couldn't check your fit for this role — add a CV to your profile to see it next time.