6 Engineering Software jobs in New Zealand

As a Backend Developer you will:
• rite effective, scalable code. br> • D velop back-end components to improve responsiveness and overall performance. < r> • W ite unit tests and perform code reviews to ensure high-quality code. < r> • O timize application performance and scalability. < r> • W ite clean, efficient and well-documented code. < r> • I plement security and data protection solution. < r> • P rticipate in agile development processes, including sprint planning, daily stand-ups. < r> • S ay updated with new technologies and trends in AI, especially large language models, to drive innovation within our projects. < r>
Must-haves:
• A Bachelor's or Master's in Computer Science or any other related field. < r> • M nimum of 8 years Experience in Java development. < r> • E perience orGood understanding in JAVA 17 or Higher < r> • G od understanding of common design patterns in Java < r> • G od understanding of Java concepts such as generic programming < r> • E perience with Front End development < r> • E perience in Stream API < r> • E perience in Maven < r> • G od Understanding in XML/JSON. < r> • G od understanding in GIT < r> • K owledgeable in Linux OS < r>
Nice to have :
• C /CD Jenkins build system < r> • K owledge in Apache Nifi < r> • E perience in Docker Containerization < r> • E perience in developing/testing in Pyton < r> • k owledge GTS xml for SAP < r> • G od understanding with Large Language Models ( LLM )

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

AgileEngine is a top-ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the fastest-growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.

If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)

What you will do

Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;

Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;

Collect, process, and prepare large datasets for analysis, feature engineering, and model training;

Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;

Optimize data storage, retrieval, and processing performance for ML workloads;

Develop and maintain ETL (Extract, Transform, Load) processes and workflows;

Manage data versioning, storage, and access control for ML datasets;

Collaborate with DevOps and IT teams to ensure smooth deployment and scaling of ML models in production environments;

Stay up-to-date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.

Must haves 

Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;

Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;

Strong proficiency in programming languages such as Python, Java, or Scala;

Proficiency with data storage and processing technologies, including SQL databases, NoSQL databases, and distributed computing frameworks (e.g., Hadoop, Spark);

Experience with data warehousing solutions and data integration tools;

Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;

Knowledge of ML frameworks (e.g., TensorFlow, PyTorch) and ML model deployment;

Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization (e.g., Docker, Kubernetes);

Excellent problem-solving skills and a collaborative mindset;

Excellent oral and written communication skills with a keen sense of customer service.

Nice to haves

Experience in ad/marketing environment

Experience working with Data Lakes

Experience with Scala

Experience with Glue/EMR/Redshift/Airflow

Experience with Terraform.

The benefits of joining us

Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Our Purpose
TERADYNE, where experience meets innovation and driving excellence in every connection. We are fueled by creativity and diversity of thought and in our workforce. Our employees are supported to innovate and learn something new every day.
Based in Auckland, Quantifi Photonics is proud to be part of the Teradyne family, combining
New Zealand's innovative spirit with the resources of a global leader in test, automation, and robotics. We're growing fast, tackling increasingly complex challenges, and are looking for passionate, talented people to help take Quantifi Photonics to the next level.
Quantifi Photonics designs and manufactures advanced optical and electronic test instruments that enable engineers to develop and scale up next-generation photonics technologies. Our customers include global tech companies, leading universities, and world-class research institutions in over 25 countries; working across R&D, high-volume manufacturing, defense, aerospace, and academia.
We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results.
Opportunity Overview
The Software Test Engineer is a quality assurance specialist responsible for driving testing strategies, enhancing automation frameworks, and ensuring the reliability of complex software systems and software applications. They work closely with development and product teams to improve test coverage, effectiveness, and scalability. This role plays a critical part in delivering high-quality, stable software by designing and executing tests that validate functionality, performance, and system integrity across all releases.
+ Develop and maintain robust test automation frameworks for CI/CD environments
+ Design and execute test cases for new features and regression.
+ Identify, analyze, and troubleshoot complex defects
+ Continuously improve regression testing methodologies.
+ Provide technical guidance and mentorship to junior engineers.
+ Identify, document, and track bugs through to resolution.
+ Advocate for best practices in exploratory, usability, and accessibility testing.
+ Drive innovation in testing tools, processes, and methodologies.
All About You
We seek individuals who share our passion and determination. Our commitment to customer success drives us to go the extra mile. If you're ready to join us in this mission, take a closer look at the minimum criteria for the position.
+ Bachelor's degree in Software Engineering or a related field.
+ Substantial experience in software testing and QA engineering.
+ Proficiency in programming and scripting languages such as Java, Python, C++, C#, PowerShell, bash.
+ Deep understanding of performance testing, security testing, and API testing methodologies.
+ Experience working with CI/CD pipelines, DevOps practices, and cloud-based testing environments.
+ Strong problem-solving skills to identify, analyze, and resolve defects effectively.
+ Excellent communication and leadership skills for mentoring junior engineers and collaborating with cross-functional teams.
Good-to-Haves:
+ Knowledge of database systems (e.g., SQL, NoSQL).
+ Exposure to large-scale distributed systems testing for high-availability applications.
+ Experience in design, implementation, and managing CI/CD pipelines using Git, Jenkins and/or Docker.
+ Understanding of usability and accessibility testing to improve user experience.
+ Ability to innovate testing methodologies for continuous improvement in QA practices.
We are only considering candidates local to position location and are unable to provide relocation for this position.
Benefits
+ Health insurance
+ Paid birthday off
+ Great staff facilities, (lunchroom outdoor flow and BBQ area)
+ Onsite parking available
+ Walking distance from Constellation Bus Station
+ Employee centric company
#LI-RA1
Current openings may involve access to export controlled technology and may be subject to export licensing requirements prior to employment. ATTENTION APPLICANTS WITH DISABILITIES: If you're unable to access our on-line application due to a disability you may visit one of our locations or our Corporate Office at 600 Riverpark Drive, North Reading, MA and request a paper application form. In addition, you may also contact the HR Service Center at or contact them at for additional assistance. LitePoint, a Teradyne Company is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, age, disability status, protected veteran status, or any other characteristic protected by law. We are a VEVRAA Federal Contractor.