Roles remotos de SQL para candidatos en Australia.

Own daily security intake across alert queues, Slack channels, and walk-in escalations from teams across Block, acting as the welcoming front door for security ops.

As a critical member of the Customer Success team you will be responsible for the retention and expansion our largest customers

5+ years of pre-sales experience with enterprise software and technical aptitude

Continuously improve the reliability and performance of ClickHouse core.

Backend Feature Development: Collaborate with product managers to design and implement new backend features that align with business goals and user needs. Ensure features are delivered from concept to deployment with high quality.

Designing and implementing backend services and APIs, using Go, to power core product functionalities. - Contributing to cross-functional product development teams, collaborating closely with engineers, product managers

Participate in on-call rotations to detect and triage service and reliability issues across all environments.

You’ll own end-to-end execution for backend systems and infrastructure

Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.

Build and maintain data marts, materialized views, and data pipelines within an AWS Aurora PostgreSQL environment

Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions

Large scale data pipelines built for the investor team supporting applications, feeds, and insight agents.

Coding & Development: Implementing robust solutions, primarily using Python (experience with Java/Node is a bonus). This includes low-latency, high-volume data processing and text processing techniques (e.g.

Utilize NDR, EDR, real-time streaming, and SIEM technologies to develop robust threat detection capabilities.

Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions.

Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.

Data Engineering & DevelopmentDevelop and maintain robust data integration pipelines (ETL and ELT) to process large volumes of financial data across cloud and on-premise environments.

Build and maintain end-to-end pipelines in the Azure stack, ingesting source data into the Data Lake and Azure SQL, orchestrated with Azure Data Factory.

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

The rate depends on your skills and experience. We've already paid out over $11M to our engineers.

Resolve Technical Issues: Investigate and resolve advanced customer issues across Postgres, Auth, RLS, Storage, Realtime, Edge Functions, and client libraries.

Provide initial and timely responses to all support cases for a variety of topics, from billing or pre-sales requests to optimization or implementation questions.

Leading design and architecture of an impactful open source project