| GF |
GF2096 - Senior Analyst – Network & Communications |
필수
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EDUCATION/QUALIFICATIONS: "• Bachelor's degree in Communication and Computer Engineering, or an equivalent major in the related field. • IT certification –ITIL, Cisco routing and switching and/or security (CCNA, CCNP and /or CCIE), F5 BIG-IP Administrator, Palo Alto, Huawei AWS certified solutions architect associate or any other IT specific certification is an advantage." |
| LH |
Senior Full Stack Engineer - Java |
필수
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Platform & Engineering Practices: Experience with cloud platforms (Azure, AWS, or GCP); Strong understanding of containerization (Docker) and Kubernetes; Experience with CI/CD and DevOps collaboration; Strong knowledge of testing strategies (unit, integration, end-to-end); Understanding of performance, security, and scalability principles |
| UA |
Senior Engineer - Data Operations |
필수
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5+ years of IT experience in DevOps, Cloud Engineering, SRE, Platform Engineering, or similar roles with AWS, CI/CD, IaC, scripting, containers, databases, and operational support. |
| UA |
Senior Developer - Information Technology |
필수
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Hands-on experience implementing AWS technologies, including Lambda, Step Functions, CloudWatch, CloudFront, Route 53, ECS, EC2, S3, RDS, API Gateway, and Secrets Manager. |
| SQ |
Information Technology - Cloud Engineer (Go... |
필수
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A minimum of 5 years of Cloud Infrastructure experience, with at least 3 years of hands-on experience working on GCP. Hands-on experience with AWS or Azure is preferred. |
| B6 |
Senior Principal DevOps Engineer |
필수
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Experience architecting and supporting highly available and highly scalable cloud infrastructure like Microsoft Azure and Google Cloud Platform or Amazon AWS |
| U2 |
Delivery Manager |
필수
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Familiarity with cloud and commerce technologies such as AWS, APIs, mobile platforms, and analytics, with the ability to engage in technical discussions |
| SQ |
Information Technology - Lead Software Engi... |
필수
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Familiarity with CI/CD pipelines, GitOps practices, cloud platforms (AWS, Azure, GCP), and Infrastructure-as-Code (IaC) tools (advantageous). |
| IB |
Data Scientist Specialist |
필수
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Experiencia en entornos cloud. Se valorará especialmente el conocimiento de herramientas y servicios como AWS SageMaker, Fargate y/o Airflow. |
| DL |
Software Development Engineer |
필수
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API & Cloud: Experience building REST, GraphQL APIs and familiarity with AWS cloud services ( Lambda, DynamoDB, S3, API Gateway, AppSync). |
| DL |
IT Portfolio Architect Testing |
필수
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Experience designing cloud-native solutions on AWS, Kubernetes/OpenShift, using microservices, APIs, and distributed architectures. |
| W6 |
Senior Digital Engineering Manager |
필수
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Strong expertise in AWS EDGE and networking services, including Route 53, CloudFront, AWS Shield, AWS WAF, and related services |
| B6 |
Senior Principal Engineer |
필수
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Subject matter expert with developing software applications in at least one of the major Cloud platforms – Azure, GCP or AWS. |
| SQ |
Information Technology - Data Analytics Engineer |
필수
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Experience working with AWS, GCP, and infrastructure-as-code systems. DevOps experience is a plus. |
| AC |
Back-end Developer – Proactive Hiring |
필수
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Hands-on experience with AWS services (Ex: Lambda, EC2, S3, RDS, DynamoDB, API Gateway, AppSync). |
| EY |
Business Solutions Manager - Data Science &... |
필수
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Exposure to platforms such as Databricks and cloud environments including GCP, Azure or AWS. |
| AA |
Data Scientist/Sr Data Scientist, Customer ... |
필수
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Experience with Cloud Computing and/or Distributed Computing (e.g. Databricks, Spark, AWS) |
| SQ |
Information Technology - Senior Data Scient... |
필수
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Significant hands-on experience of AWS, Azure, GCP or other public cloud environment. |
| DL |
Senior Software Development Engineer |
필수
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Proficiency in AWS services such as EC2, S3, Lambda, RDS, and CloudFormation. |
| CX |
Data Scientist - Commercial Analytics |
필수
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Proficiency in Python and AWS cloud stack is essential |
| AC |
Digital Platform Analyst |
필수
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AWS solution understanding is a plus but not required. |
| FR |
AI/ML Engineer |
필수
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Familiarity with Azure or AWS data science tooling. |
| AA |
Engineer/Sr Engineer, IT Software |
필수
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Cloud Providers such as Azure and AWS |
| YP |
정보보안 리더 (경력) |
필수
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AWS 환경에서의 정보보안 업무 경험이 있으신 분 |
| FR |
Software Architect |
필수
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Excellent AWS knowledge |
| DL |
Operations Research Scientist |
필수
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Familiarity with AWS |
| B6 |
Principal Architect Product Security |
우대
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Experience with AWS, Azure, GCP, Kubernetes, containers, serverless platforms, API gateways, WAF technologies, secrets management, CI/CD, and policy-as-code. |
| B6 |
Incident Responder |
우대
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Basic knowledge of one or more cloud environments such as AWS, Azure, or Google Cloud and related cloud security investigation concepts. |
| VA |
AI Engineering Lead |
언급
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This role sits within our recently formed AI Team. Leading the AI Engineering team, you’ll be at the forefront of designing and scaling AI solutions that transform our business. This is a full stack engineering role focussed on production-grade engineering (React, Strands, FastMCP, Docker, AWS AgentCore). Reporting to the Head of AI, you will lead a growing team of five Senior AI Engineers and AI |
| AY |
Lead Software Engineer, Intelligent Operations |
언급
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The Intelligent Operations tribe builds solutions for our employees — providing real-time situational awareness and tools that support day-to-day work and decision-making. These are business-critical systems where reliability and security directly affect our operations. A significant part of the tribe’s work is about building scalable, secure, and maintainable cloud-native integrations in AWS. |
| NZ |
Chapter Lead (Cloud Platform Engineering) |
언급
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At Air New Zealand, we're reimagining how technology powers our journey through secure, scalable cloud platforms that enable innovation, speed, and resilience. Our multi-cloud strategy across AWS and Azure is central to our digital transformation, helping modernise our technology landscape and deliver exceptional experiences for our customers and teams. |
| VA |
Data Engineer |
언급
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You’ve worked with a modern cloud data platform. Experience with Databricks is highly preferred, although strong experience with Snowflake, AWS Redshift or Azure-based data platforms is also valuable. |
| NZ |
Senior AI Engineer/ AI Engineer |
언급
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Experience with cloud platforms (AWS - preferred, Azure, or GCP) and containerisation (Docker, Kubernetes). Experience with IaC (Terraform/CloudFormation) advantageous. |
| NZ |
Senior AI Engineer/ AI Engineer |
언급
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Experience with cloud platforms (AWS - preferred, Azure, or GCP) and containerisation (Docker, Kubernetes). Experience with IaC (Terraform/CloudFormation) advantageous. |
| U2 |
Data Analytics Engineer |
언급
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> Developing Python and SQL based data pipelines within the Dagster and AWS ecosystem, documenting and testing data models through dbt |
| VA |
Engineer (Developer Platform and AI-enabled SDLC) |
언급
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Hands-on experience with AWS, cloud-native platforms and modern application delivery practices. |
| AS/HA/QX |
Manager, AI |
언급
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Hands-on experience with cloud platforms (Azure, AWS, or GCP) and AI/ML deployment tools. |
| VA |
Engineer (Reliability & Observability) |
언급
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Hands-on experience with AWS, Kubernetes and modern distributed systems. |
| NZ |
Senior Data Engineer for AI |
언급
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Experience with cloud technologies such as AWS, Azure, or Google Cloud. |
| QF/JQ |
Senior Quality Engineer |
언급
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Experience with BDD, CI/CD, Git, and cloud platforms such as AWS. |