Top Technology Jobs & Startup Jobs in Sydney

Lead engineering delivery for an Apigee X AI gateway that fronts LLM inference across multi-cloud providers. Translate architecture into epics, build OpenAI-compatible API capabilities, implement provider abstractions (Vertex AI, Bedrock), secure multi-cloud traffic, use Terraform and GCP services, mentor engineers, and manage stakeholder communications, runbooks, and CI/CD/testing standards.

Lead growth and strategic account management across telecommunications clients. Build executive relationships, identify and win upsell/cross-sell opportunities, manage pipeline, forecasting and commercial performance, and partner with solution and delivery teams to ensure successful service delivery and client satisfaction.

The role requires defining and evolving the architecture for enterprise platforms, collaborating with teams on integration patterns, and ensuring solutions are scalable and secure.

Design, implement, and harden enterprise Azure cloud platforms with embedded security controls. Automate infrastructure via IaC and CI/CD, manage IAM/Entra ID, deploy Defender and Sentinel tooling, support CSPM and vulnerability remediation, ensure compliance with ISM/IRAP/PSPF/NIST, and collaborate with platform and app teams to embed secure-by-design practices across multi-cloud environments.

Design and lead a cloud-agnostic enterprise data ingestion framework: author solution designs, build and optimize batch/streaming pipelines, embed data quality/lineage/security, and guide engineering squads for scalable multi-cloud data platforms.

Own strategic sales growth across banking, insurance and wealth clients. Build C-level relationships, identify and close complex technology consulting opportunities, lead proposals and negotiations, collaborate with delivery teams to design solutions, drive pipeline and revenue targets, and monitor market and competitor activity.

The Data Engineer will design and manage data processing systems, transforming raw data into actionable insights by building scalable pipelines on Google Cloud Platform technologies.

The Senior Pega Developer will design, develop, and implement Pega applications, analyze business requirements, perform code reviews, and support Pega integration with other systems.

Design, automate, and maintain hybrid GCP/on-prem cloud platforms with GitLab CI/CD integration. Build Terraform-based infrastructure, manage GKE clusters and containers, implement observability and DevSecOps, troubleshoot incidents, and mentor engineering squads to improve deployment reliability and security.

Design, build, and maintain petabyte-scale ETL/ELT data pipelines and BigQuery data models on GCP. Collaborate with data scientists and engineers to ensure data quality, implement CI/CD for pipelines, monitor production systems, and recommend new cloud data technologies. Support streaming data processing and infrastructure-as-code for secure, scalable solutions.