Desarrolador JAVA con IA como GitHub o Copilot
The developer will be responsible for analyzing and programming Java-based solutions. The role requires integrating AI tools like GitHub Copilot into the development workflow.
Remote Software Development Jobs in New Zealand
Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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The developer will be responsible for analyzing and programming Java-based solutions. The role requires integrating AI tools like GitHub Copilot into the development workflow.
Lead client discovery sessions and design end-to-end data solution architectures including ingestion, modeling, and reporting. Manage a technical team while serving as the primary point of contact for clients and contributing to internal architecture standards.
The architect will design and implement scalable ServiceNow ITSM solutions while defining platform standards and governance. They are responsible for leading workflow automation, CMDB data quality initiatives, and managing enterprise-wide integrations.
Responsible for developing, testing, and maintaining software components and modules to meet client requirements. Integrates components into team projects and performs both corrective and evolutionary maintenance to ensure system functionality.
The Computer Vision Engineer will design, develop, and deploy machine learning solutions to interpret visual data such as images and video streams. They will collaborate with cross-functional teams including data scientists and software engineers to build scalable, production-ready systems.
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The role involves developing scalable backend services and integrating Generative AI models, including RAG architectures, into production environments. You will be responsible for writing clean, efficient code, optimizing server performance, and collaborating on technical documentation and code reviews.
Develop and maintain automated test scripts for web applications while performing manual functional and regression testing. Collaborate with developers and product owners to integrate automated tests into CI/CD pipelines and ensure high software quality.
You will independently own a component or slice of the platform, making technical decisions and ensuring system health in production. You are expected to turn business requirements into technical plans and mentor other engineers to raise the team's overall performance.
Manage, support, and deliver technical solutions on the Microsoft Azure platform to meet client requirements for scalability and security. Drive the deployment of complex cloud projects while partnering with architects to create functional design specifications.
Design, develop, and maintain scalable ETL/ELT data pipelines and cloud-native data solutions using Python, PySpark, and Snowflake. Collaborate with cross-functional teams to optimize data performance, ensure data quality, and implement robust data governance practices.
The developer will design, build, and maintain custom Salesforce solutions using Apex and Lightning Web Components. They will also collaborate with architects and stakeholders to implement integrations and ensure high code quality through testing and CI/CD workflows.
The consultant will lead end-to-end Salesforce implementations and enhancements for Sales and Service Cloud environments. They are responsible for translating business requirements into scalable solutions, configuring platform features, and coordinating with stakeholders for successful delivery.
Design and lead end-to-end AI system architectures across enterprise environments, including LLM applications and RAG systems. Establish governance, security, and performance standards while guiding engineering teams through implementation.
The role involves designing, deploying, and maintaining scalable machine learning systems in production environments. You will collaborate with cross-functional teams to operationalize models, build robust data pipelines, and implement MLOps best practices.
Design, build, and maintain automated testing frameworks for web applications and APIs while integrating them into CI/CD pipelines. Collaborate with cross-functional teams to improve test coverage, document defects, and ensure high-quality software delivery.
Design, develop, and maintain scalable backend services and REST APIs while ensuring system performance and security. Collaborate with cross-functional teams to build event-driven microservices and integrate with cloud-native architectures.
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Design and build scalable data pipelines to support machine learning workflows, including feature engineering and real-time data ingestion. Collaborate with cross-functional teams to ensure data quality, monitoring, and efficient model deployment.
Design and build scalable data pipelines while optimizing transformation workflows in Snowflake or Databricks. Collaborate with cross-functional teams to ensure high-quality, performant, and secure data systems for analytics and reporting.
Design, automate, and manage scalable cloud infrastructure across AWS, Azure, or GCP environments. Collaborate with engineering teams to build CI/CD pipelines, implement Infrastructure as Code, and ensure high-availability production systems.
The Lead Data Architect will define and evolve enterprise-wide data architecture standards and roadmaps to support analytics and operational needs. They will oversee the design of scalable data platforms, including data lakes and warehouses, while ensuring robust data governance and security compliance.
Design and implement scalable Infrastructure as Code using Terraform and Ansible to automate cloud provisioning. Integrate infrastructure tasks into CI/CD pipelines while enforcing security, compliance, and system reliability standards.
Design, implement, and maintain scalable cloud infrastructure and deployment pipelines across AWS, Azure, or GCP. Collaborate with engineering teams to streamline CI/CD processes, improve system resilience, and manage containerized workloads.
The roles involve designing, building, and maintaining scalable data pipelines, cloud infrastructure, and analytical dashboards to support business decision-making. Responsibilities also include ensuring data quality, automating infrastructure, and collaborating across technical and business teams.
The Senior Lead QA Engineer will define and lead the overall quality strategy, processes, and best practices across multiple products. They will also mentor the QA team and drive the implementation of test automation frameworks to ensure high-quality software delivery.
Develop and maintain functional WordPress interfaces while integrating AWS services to enhance site performance and security. Provide technical support in a Help Desk environment to resolve user issues and ensure an optimal user experience.
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Collaborate with strategic enterprise customers to solve complex business challenges using Atlassian products and practices. Identify opportunities for service expansion and provide prescriptive technical guidance to drive value realization.
The AI Technician will research, implement, and optimize AI technologies to improve operational efficiency and streamline business processes. They will also manage system integrations, maintain internal AI dashboards, and provide technical support across various departments.
The Senior Full-Stack Developer will lead the design, build, and launch of the client portal while managing a team of four junior developers. This role involves hands-on coding, architectural decision-making, and establishing engineering standards for the team.
The manager will serve as the primary communication link between the company and local communities, drafting clear and accurate public materials regarding infrastructure projects. They will also manage multi-channel campaigns, respond to resident inquiries with empathy, and track engagement metrics to ensure consistent messaging.
Stop the endless job search. Our AI finds and applies to the best jobs for you.
We reviewed 21 job postings for remote software developers in New Zealand and found these are the skills employers ask for most often:
| Skill | Share of job posts |
|---|---|
| Python | 33% |
| Software engineering | 29% |
| TypeScript | 24% |
| JavaScript | 24% |
| Communication | 24% |
| Aws | 24% |
| Mentoring | 24% |
| CI/CD | 19% |
| Problem solving | 19% |
| Observability | 19% |
Learn more about Software Development remote jobs