NCS Group Australia

1,358 Total Employees
Year Founded: 2001

Jobs at NCS Group Australia

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6 Days AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Leads the architecture, development, deployment, and continuous improvement of enterprise AI and Microsoft Power Platform solutions. Designs production AI agents, integrations, APIs, security controls, responsible AI guardrails, testing, monitoring, and support models. Facilitates customer discovery, technical planning, presales, delivery coordination, and solution estimation. Leads onshore and offshore technical teams, mentors junior consultants, supports deployments, troubleshoots issues, and optimizes performance across multiple client engagements.
8 Days AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Lead the architecture and hands-on delivery of enterprise GCP platform components, including landing zones, security controls, networking, Kubernetes, CI/CD, Terraform modules, and observability. Partner with security architects on zero-trust governance, threat modeling, and formal reviews. Build resilient cloud foundations, automate delivery using GitOps, and produce solution design documentation and architectural blueprints. Serve as a senior technical authority responsible for approximately 15 platform solutions ahead of a major go-live.
9 Days AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Own the enterprise Salesforce landscape through technical architecture, hands-on Apex and Lightning development, integrations, data governance, DevOps, and platform evolution. Design scalable Salesforce solutions across core clouds, establish technical standards and CI/CD practices, optimize platform performance, and collaborate with architects, analysts, and product owners. The role requires deep Salesforce engineering expertise, enterprise integration experience, and architectural leadership.
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Design, build, test, deploy, and support enterprise integration solutions using Azure Integration Services. Engage stakeholders, translate business requirements into practical architectures, troubleshoot .NET applications, review code, implement minor fixes, manage dependencies, and support solutions throughout the SDLC. The role also requires experience with infrastructure as code, CI/CD pipelines, DevOps practices, and effective stakeholder communication.
17 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Graduate Data Engineers will help build and maintain cloud-based data platforms and products. Responsibilities include developing Python and SQL data pipelines, performing ETL/ELT, supporting Databricks and Snowflake solutions, improving data quality and governance, troubleshooting issues, and contributing to analytics and AI-enabled capabilities. The role includes mentoring, consulting exposure, stakeholder collaboration, and learning modern data engineering, machine learning, and generative AI technologies.
23 Days AgoSaved
In-Office
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Leads the Financial Services Industry sales strategy across Victoria and Australia, growing strategic accounts and developing new business across banking, insurance, wealth, and superannuation. Builds executive relationships, creates technology consulting and transformation propositions, manages complex multi-million-dollar pursuits, and drives revenue, margin, and market growth. Partners with consulting and delivery teams and represents the organization with major clients and industry forums.
One Month AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Lead the design, implementation, and rollout of enterprise application security scanning across CI/CD pipelines. Configure and integrate SAST, SCA, and DAST platforms, establish security policies and quality gates, automate scanning workflows, define triage processes, reduce false positives, and support engineering teams with secure coding guidance and vulnerability remediation.
One Month AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Lead AI-driven DevSecOps governance across the enterprise SDLC. Design security guardrails, compliance frameworks, automated policy enforcement, AI-assisted code reviews, threat modeling, and security checks within CI/CD pipelines. Establish responsible AI standards for developer tools and LLM usage, integrate intelligent security testing, and guide remediation. Partner with security, engineering, and product teams to develop governance roadmaps and drive adoption. The role requires hands-on DevSecOps, application security, AI/LLM automation, compliance, pipeline tooling, scripting, and stakeholder engagement experience.
2 Months AgoSaved
In-Office
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Owns strategy, growth, and performance for strategic Financial Services accounts across Victoria. Builds executive relationships, positions technology consulting and managed services, identifies and converts opportunities, leads account planning and complex pursuits, shapes commercial deals, grows revenue and pipeline, and oversees client outcomes and relationship risks.
2 Months AgoSaved
Hybrid
Melbourne, Victoria, AUS
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Design, build, and maintain scalable, fault-tolerant GCP data pipelines and BigQuery data models. Collaborate with data scientists and engineers to ensure data quality, monitor production systems, implement CI/CD for pipelines, and recommend cloud data architecture and governance improvements.