Roles remotos de TI para candidatos en Australia.

Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI

Work with a team of DevOps and DBA professionals

You’ll lead the initial setup of our DevOps and platform engineering practices

Develop, maintain and manage tools to automate operational activities and enhance engineering productivity

Lead and develop a DevOps team: Hire, mentor, and grow engineers; set clear expectations and create an environment of ownership, high standards, and continuous improvement.

Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI

Bau und Pflege von CI/CD-Pipelines in GitHub Actions und / oder GitLab CI

Work within our Engineering team and with partners in Sales, Customer Support, Customer Success

Assist in designing, building, and maintaining CI/CD pipelines.

Skills: • Strong familiarity with Docker and Kubernetes. • Hands-on experience with at least one CI tool like Jenkins (CloudBees experience is a plus).

Design, build, deploy, improve and maintain secure, reliable production systems

You are a builder: You don't just use tools; you build them. You have 5+ years of experience in SRE, DevOps, DevEx or Platform Engineering with a heavy emphasis on software development.

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.

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

Be pulled in by Field SEs as the cloud security SME on complex, high-value enterprise opportunities across India.

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.

Programming language: Python

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

High-quality, secure, and scalable infrastructure capable of supporting modern applications and advanced AI workloads

Lead the architecture and development of scalable, secure, and cost-efficient data platforms on AWS.

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

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.