What Robotics Software Jobs are in Canada?

We are seeking a highly motivated and skilled Senior Software Engineer to join our innovative team. This role offers a unique opportunity to blend traditional **backend development expertise with emerging AI technologies. The ideal candidate will be responsible for designing, developing, and deploying high-performance applications using Java and Spring Boot, coupled with MongoDB for data persistence** . A significant aspect of this role will involve working with AI Agents, applying advanced Prompt Engineering techniques, and leveraging the Google ADK to build intelligent, next-generation solutions.
**Responsibilities:**
+ Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
+ Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users
+ Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement
+ Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality
+ Ensure essential procedures are followed and help define operating standards and processes
+ Has the ability to operate with a limited level of direct supervision.
+ Can exercise independence of judgement and autonomy.
+ Acts as SME to senior stakeholders and /or other team members.
+ Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
+ Develop, integrate, and deploy AI Agents to enhance application intelligence and automation.
+ Apply Prompt Engineering methodologies to optimize interactions with large language models and other AI systems.
+ Utilize the Google ADK (Agent Development Kit) to build, test, and deploy AI-powered features and applications.
**Qualifications:**
+ 4+ years of relevant experience
+ Experience in systems analysis and programming of software applications
+ Familiarity with the **Google ADK or similar AI development kits/platforms.**
+ Experience in managing and implementing successful projects
+ Demonstrable **experience with AI Agents, including their design, implementation, and integration into software systems** .
+ Practical experience and a strong understanding of Prompt Engineering principles and best practices.
+ Ability to work under pressure and manage deadlines or unexpected changes in expectations or requirements
**Education:**
+ Bachelor's degree/University degree or equivalent experienc
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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**Job Family Group:**
Technology
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**Job Family:**
Applications Development
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**Time Type:**
Full time
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**Primary Location Full Time Salary Range:**
$94,300.00 - $141,500.00
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**Most Relevant Skills**
Please see the requirements listed above.
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**Other Relevant Skills**
For complementary skills, please see above and/or contact the recruiter.
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**Automated Processing and AI**
We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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_This job opening is for an existing job vacancy._
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_Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._
_If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review_ _Accessibility at Citi ( _._
_View Citi's_ _EEO Policy Statement ( _and the_ _Know Your Rights ( _poster._
Citi is an equal opportunity and affirmative action employer.
Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

**Our Purpose**
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Vice President, AI Software Engineering
Overview:
Mastercard is looking for a talented VP, AI Software Engineering to join the Mastercard Foundry Research and Development team in Toronto. In this role you will be leading a highly agile, AI native development team building innovative large-scale software platforms and solutions from ideation to release. Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally.
About the Role:
This is a hands-on role for an engineer who is deeply engaged in using Generative and Agentic AI through the full product development lifecycle. You will lead lean, high-performance pods to develop and refine product constructs, build functional prototypes, and build, test, and deploy large-scale applications in the payment's ecosystem, supported by AI tooling and agentic capabilities. You will experiment with team structures, processes, and tooling to establish AI native ways of working to deliver high-quality software at an accelerated pace.
We are looking for someone with deep experience leading high-performing teams on customer facing software applications, strong engineering fundamentals, a product-building mindset, a practical understanding of the patterns and trade-offs behind modern AI systems, and a sense of curiosity to experiment and drive new ways of working.
Responsibilities
- Drive the engineering vision and strategy for large-scale data-oriented new product development
- Lead the delivery of complex, cross-functional software applications with AI native approach and mindset
- Partner with product teams to define and refine nascent product constructs
- Develop deep working knowledge of data assets, analytics, and infrastructure to implement scalable data-oriented applications
- Manage teams to design, build, test, and release high-quality software applications leveraging AI tooling and processes
- Mentor and grow talent-dense teams to a high degree of AI native development proficiency
- Leverage and improve best practices for an AI-native SDLC, including design, architecture, development, code reviews, testing, deployment, and release
- Coach teams on best practices for leveraging AI across the SDLC
- Bring a strong and evolving perspective on AI team structures and processes, with a willingness to experiment and pivot
- Hands on experience building 0->1 applications using Generative AI, LLMs, and/or agentic patterns
- Proven experience leading high-performing teams on customer facing software applications
- Strong data fluency and proficiency with data technologies (e.g., Databricks)
- Strong software engineering experience building scalable, maintainable production systems
- Strong backend engineering skills in Java and/or Python and frontend experience with React or Next.js
- Strong track record of growing and developing high performing talent
- Strong business acumen and proven ability to apply technology to solve business problems
All About You
- Thrives on creating innovative products and technology solutions in a collaborative, fun environment
- Hands-on, curious, and comfortable working in fast-moving environments
- Passionate about leading and growing people and teams to their highest potential
- Uses AI as part of daily engineering practice
- Brings both engineering depth and a product mindset
- Cares about developer experience, quality, and reuse
- Communicates clearly and works well across functions
- Enjoys learning, experimenting, and helping raise the bar for others
- Ability to explain technical problems clearly and succinctly to diverse audiences.
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.
**Pay Ranges**
Toronto, Canada: $208,000 - $333,000 CAD

Company: Qualcomm Canada ULC Job Area: Engineering Group, Engineering Group > Machine Learning Engineering

General Summary:

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Machine Learning Engineer, you will create and implement machine learning techniques, frameworks, and tools that enable the efficient discovery and utilization of state-of-the-art machine learning solutions over a broad set of technology verticals or designs. Qualcomm Engineers collaborate with cross-functional teams to enhance the world of mobile, edge, auto, and IOT products through machine learning hardware and software.

AI’s ability to solve complex problems across multiple domains is transformative. Here in the artificial intelligence software group. we are building highly optimized on-device AI solutions. We combine high performance software with cutting edge hardware to run deep neural nets with that little computer you keep in your pocket, that car you drive, or that vacuum cleaner you unleash to clean your house. Come join us if you want to work on bleeding edge AI technology. In this position you will build high performance software for AI engines which include Snapdragon Neural Processing Engine, Android NN, and Tensorflow Lite delegate and many more . We develop new tools and SDKs to extend our AI solutions into industry leading customer use cases.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.
OR
PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience.

Responsibilities:

• Own and deliver key aspects of the AI stack and provide solutions that make a difference
• Coordinate development with various teams to ensure a cohesive product
• Ability to work with larger teams to push an idea forward
• Development of optimization algorithms for ML operators/layers for the Qualcomm AI SW stack
• Development of AI SW stack framework enhancements for optimal resource usage while running a neural network on Qualcomm hardware
• Development of software tools for profiling, and debugging to support rapid deployment of new neural networks in this fast changing field
• Evaluating and optimizing neural networks runtime performance and accuracy
• Working with customer teams to enable state of the art network models and new AI SW features to meet customer use-cases
• Collaborating with AI hardware and architecture teams to continuously improve our AI solution
• Being an active contributor to the development process to ensure commercial quality software releases
• Participate in software quality process improvements

Ideal candidates will demonstrate the following:

• 5+ years industry experience
• Enjoy software development with excellent programming capability and analytical, development, and debugging skills
• Curiosity and willingness to continually learn new things and propose new ideas
• Experience with C/C++, Python
• C++ work experience
• Android or embedded Linux software development preferred
• Optimizing algorithms for hardware acceleration cores using OpenCL, OpenGL ES, and / or DSPs
• Experience with Python numpy and deep learning frameworks such as TensorFlow, PyTorch
• Background in mathematical operations: linear algebra, fast math libraries, multi-threading and vector instruction sets
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests

Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail   or call Qualcomm's toll-free number found  here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies :  Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

Pay range and Other Compensation & Benefits:

$131,200.00 - $181,200.00

The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm.  We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus).  In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer.

If you would like more information about this role, please contact Qualcomm Careers .

We are seeking a collaborative and driven **Senior AI Software Engineer** to join our team. As a core contributor to our platform, you will help build and scale the intelligent services powering our autonomous visual asset editing pipeline. You'll work closely with a talented team to develop event-driven serverless applications, create AI tools that empower our Large Language Models (LLMs) to edit visual assets, and occasionally contribute to the frontend to deliver these features to users. If you are passionate about the intersection of generative AI and robust, scalable software engineering, we want to hear from you!
Req.#
**Responsibilities**
+ Build and maintain scalable backend microservices using Python and FastAPI, deployed on serverless infrastructure
+ Develop tools, constraints (guardrails), and deterministic functions for AI agents to edit visual assets. Integrate models on owned infrastructure and third-party AI endpoints
+ Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g., EventBridge, queues, DynamoDB streams)
+ Contribute to Terraform scripts to provision and manage cloud resources safely and effectively across multiple environments
+ Participate in backend orchestration and modern web frontend development
+ Write robust unit and end-to-end tests to ensure the stability of APIs and AI agent outputs, supporting smooth deployments
**Requirements**
+ 5+ years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control
+ Strong proficiency in modern Python
+ Hands-on experience deploying and operating services in AWS, Azure, and/or GCP
+ Practical experience integrating LLMs into software applications, including interacting with inference endpoints, managing context windows, and parsing AI-generated content
+ Applied experience with Terraform or similar IaC tools to manage cloud resources
+ Commitment to writing clean, maintainable, and well-tested code
+ Experience working in an agile environment with rigorous code-review standards
EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.
At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

Job Description
Insight Global is seeking a Data & AI Engineer to join a high-performing data team focused on building next-generation AI-enabled data solutions. This individual will operate at the intersection of data engineering and artificial intelligence, designing and developing end-to-end pipelines that power advanced analytics and agentic AI capabilities.
The ideal candidate will have a strong foundation in data engineering, with experience building scalable ETL pipelines using tools such as Python, PySpark, Snowflake, and Apache Airflow. This role will involve enabling AI capabilities within existing data pipelines, as well as contributing to the development of AI agents and emerging agentic AI frameworks.
Day-to-day, the engineer will design, build, and deploy data pipelines, integrate AI-driven functionality into structured datasets, and support the development of scalable, production-grade AI solutions. This role requires someone comfortable owning the full lifecycle-from pipeline development and orchestration to deployment and optimization.
This is an opportunity to work on cutting-edge AI initiatives within a data-focused environment, helping shape how AI is operationalized across large-scale data systems while collaborating closely with cross-functional engineering and analytics teams.
We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 8-12 years of experience in Quality Engineering with a strong focus on automation testing
- Hands-on experience testing data pipelines and validating data flows for reporting tools (Tableau experience preferred)
- Strong experience with SQL for querying and validating data within SQL Server
- Experience using Python for test automation and scripting
- Proven experience writing and executing automated test scripts using tools like Selenium or QTest
- Experience designing and executing QA test plans, including creating detailed test cases
- Experience working with CI/CD pipelines and DevOps processes (GitHub preferred)
- Experience working in Agile environments using tools such as Jira, Confluence, and ServiceNow
- Strong understanding of end-to-end testing across data pipelines, including data validation and reporting outputs - Experience with Tableau reporting validation
- Experience triggering and managing automated tests through GitHub pipelines
- Previous experience supporting data-heavy or reporting-focused applications
- Exposure to automation frameworks and building reusable testing assets

**Job Requisition ID #**
26WD97991
**Position Overview**
At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform-we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.
As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.
This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.
**Responsibilities**
+ Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access that support LLMs and agentic workflows optimized for:
+ Real-time and iterative feedback loops
+ Contextual data access
+ Retrieval (e.g., embeddings, vector search)
+ Partner with AI/ML teams to operationalize:
+ Feature engineering and feature stores
+ RAG-based systems and evaluation pipelines
+ Ensure data quality and observability meet the needs of AI-driven decision systems
+ Guide build vs. buy decisions for data tooling and platforms
+ Enable analysts and product teams with trusted, well-modeled datasets
+ Partner with stakeholders to translate product questions into measurable data signals
+ Improve instrumentation strategy to ensure high-quality behavioral data
+ Support self-service analytics and AI-assisted exploration
+ Collaborate across Product, Engineering, Data Science, Research and Design
+ Influence technical direction without direct authority
+ Drive alignment on data standards, governance, and best practices
+ Communicate complex technical concepts to both technical and non-technical audiences
**Minimum Qualifications**
+ 10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
+ Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
+ Experience with:
+ LLM ecosystems, embeddings, vector databases
+ Retrieval-augmented generation (RAG)
+ Agent frameworks or orchestration systems
+ Experience with streaming technologies (Kafka, Flink, Spark Streaming)
+ Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
+ Experience with data governance, lineage, and cataloging systems
+ Exposure to product analytics and experimentation frameworks
+ Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
+ Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
+ Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
+ Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
+ Strong communication skills with technical and non-technical stakeholders
**Preferred Qualifications**
+ Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
+ Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
+ Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
+ Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
+ Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).

Join Our Cloud Engineering Team
Are you passionate about building scalable, secure, and modern cloud solutions? We're looking for a **Senior** **Cloud Engineer** who can combine deep technical expertise with business insight to help drive our cloud transformation journey. In this role, you'll design, build, automate, and optimize cloud platforms while partnering closely with engineering teams to deliver secure, reliable, and efficient solutions.
**What You'll Do**
+ Design, develop, and implement cloud-based applications and infrastructure solutions.
+ Build and maintain cloud environments that align with security and operational standards.
+ Automate and orchestrate cloud platforms using modern DevOps and Infrastructure-as-Code practices.
+ Develop and maintain APIs, web services, and integration solutions across enterprise platforms.
+ Support application deployment, troubleshooting, testing, and continuous integration activities.
+ Collaborate with cross-functional teams in Agile environments to drive rapid delivery and innovation.
+ Research and implement emerging technologies to improve platform performance and engineering efficiency.
+ Lead cloud engineering best practices and mentor team members on cloud adoption and modernization initiatives.
**What You'll Bring**
+ Strong experience with **Microsoft Azure, Kubernetes (AKS), and Terraform** .
+ Solid knowledge of **Unix/Linux environments and BOSH CLI** .
+ Experience with **DevOps, CI/CD pipelines** , and Agile software development practices.
+ Hands-on experience building and integrating **RESTful APIs** , web services, and cloud-native applications.
+ Familiarity with modern platform technologies including API Gateways, Messaging, Event Streaming, Distributed Tracing, SQL, and Document Databases.
+ Strong communication skills with the ability to influence stakeholders across technical and business teams.
**Nice to Have**
+ Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or related field.
+ 8+ years of IT experience, including cloud engineering and distributed systems design.
+ Experience with public, private, or hybrid cloud environments.
+ Kubernetes and/or HashiCorp certifications.
+ Experience delivering enterprise-scale PaaS solutions, particularly using **Azure Kubernetes Service (AKS)** .
+ Expertise in Infrastructure as Code, Desired State Configuration, and cloud platform automation.
**Why Join Us?**
+ Grow your career with continuous learning and development opportunities.
+ Work in a flexible, inclusive, and collaborative environment.
+ Contribute to impactful cloud initiatives that shape the future of our technology landscape.
+ Be part of a global team committed to innovation, well-being, and excellence.
_If you are applying to this role in Massachusetts, please note the salary range is_ 107,450.00 - 199,550.00 USD Annually. Additionally _, employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance._
**If you're excited about cloud technologies, automation, and building scalable solutions that make a real impact, we'd love to hear from you.**
The role being advertised is an existing vacancy.
**Giới thiệu về Manulife và John Hancock**
Tập đoàn Manulife Financial là nhà cung cấp dịch vụ tài chính quốc tế hàng đầu giúp mọi người quyết định dễ dàng hơn và có cuộc sống vẹn toàn hơn. Để tìm hiểu thêm về chúng tôi, hãy truy cập .
**Manulife là Nhà sử dụng lao động không phân biệt đối xử**
Tại Manulife/John Hancock, chúng tôi luôn đón nhận sự đa dạng. Chúng ta cố gắng thu hút, phát triển và duy trì lực lượng lao động đa dạng tương tự như những khách hàng mà chúng ta phục vụ, đồng thời thúc đẩy một môi trường làm việc hòa nhập, đề cao thế mạnh của từng nền văn hóa và cá nhân. Chúng ta cam kết tuyển dụng, duy trì, thăng tiến và trả lương một cách công bằng. Đồng thời, chúng ta quản lý tất cả các hoạt động và chương trình của mình mà không phân biệt đối xử dựa trên chủng tộc, dòng họ, xuất thân, màu da, nguồn gốc dân tộc, quyền công dân, tôn giáo hoặc tín ngưỡng tôn giáo, đức tin, giới tính (bao gồm phụ nữ mang thai và các tình trạng liên quan đến mang thai), xu hướng tính dục, đặc điểm di truyền, tình trạng cựu chiến binh, bản dạng giới, biểu hiện giới, tuổi tác, tình trạng hôn nhân, tình trạng gia đình, khuyết tật hoặc bất kỳ căn cứ nào khác được pháp luật hiện hành bảo vệ.
Ưu tiên của chúng ta là loại bỏ các rào cản để đem lại cơ hội tiếp cận việc làm bình đẳng. Đại diện Bộ phận Nhân sự sẽ làm việc với những ứng viên có yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển. Tất cả thông tin được chia sẻ trong quá trình yêu cầu điều chỉnh sẽ được lưu trữ và sử dụng tuân theo pháp luật hiện hành và chính sách của Manulife/John Hancock. Để yêu cầu điều chỉnh hợp lý trong quá trình ứng tuyển, hãy liên hệ với .
**Referenced Salary Location**
CAN, Ontario, Toronto, 200 Bloor Street East
**Working Arrangement**
Kết hợp
**Salary range is expected to be between**
$113,000.00 CAD - $163,000.00 CAD
Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact for the salary range for your location.
Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact for more information about U.S.-specific paid time off provisions.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement ( .

Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you'll be empowered to make decisions that improve our marketing strategies and customer experience.
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
+ Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
+ Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
+ Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
+ Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications**
+ 4 or more years of relevant industry experience as a Data Engineer.
+ Experience building and operationalizing data pipelines in Microsoft Azure using Azure Data Factory and Azure Databricks.
+ Experience implementing and supporting data governance solutions using Databricks Unity Catalog, including metadata management, data lineage, auditing, fine-grained access controls, data discovery, and secure data sharing across enterprise data environments.
+ Experience automating data pipelines and familiarity with DevOps and CI/CD pipelines.
+ Strong knowledge of Microsoft Azure services (SQL, ADLS Gen2, ADF, Databricks, Synapse, SQL Server) and designing scalable data ecosystems.
+ Strong understanding of data warehousing concepts and relational data modeling.
+ Experience with programming languages such as Python, SQL, Java, and/or Scala.
+ Understanding of Agile Scrum methodologies and experience working within Agile teams.
+ Experience in data processing, performance tuning, monitoring, and capacity planning.
**Preferred Qualifications:**
+ Excellent communication and interpersonal skills
+ Excellent analytical, problem solving and solutioning skills
+ A capacity for constant learning from both success and failure, remaining open to change and continuous improvement
+ Familiarity with production release and operational support model
_When you join our team:_
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
The role being advertised is an existing vacancy.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Waterloo, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$86,100.00 CAD - $136,100.00 CAD
Los empleados también tienen la oportunidad de participar en programas de incentivos y recibir una compensación vinculada al rendimiento empresarial e individual. El salario real variará según las condiciones del mercado local, la geografía y factores relacionados con el puesto como conocimientos, habilidades, requerimientos, experiencia y educación/formación. Si solicitas este puesto fuera de tu ubicación principal, por favor escríbenos a para conocer el rango salarial correspondiente a tu ubicación.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement ( .

**Job Requisition ID #**
26WD98052
**Position Overview**
At Autodesk, we do what no other company can: we help our customers design and make anything. The Experience Foundations team at Autodesk plays a critical role in designing the experiences that make that mission a reality, especially in this transformative moment where seamless digital experiences and AI-powered innovation will empower customers and teams to achieve meaningful outcomes faster.
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights platform-we are evolving our data tools and platform to support AI-native experiences, enabling both humans and intelligent systems to better understand user behavior and business impact.
As a Principal Data Engineer, you will be driving the design of AI-ready data products that power analytics, machine learning, and emerging agentic experiences and insights and intelligence products.
This role requires a balance of deep technical expertise, architectural vision, and cross-functional leadership, influencing how data is structured, governed, and consumed across Autodesk.
**Responsibilities**
+ Architect and implement scale batch and streaming pipelines for large-scale product telemetry with low-latency, high-throughput data access
+ that support LLMs and agentic workflows
+ optimized for:
+ Retrieval (e.g., embeddings, vector search)
+ Contextual data access
+ Real-time and iterative feedback loops
+ Partner with AI/ML teams to operationalize:
+ Feature engineering and feature stores
+ RAG-based systems and evaluation pipelines
+ Ensure data quality and observability meet the needs of AI-driven decision systems
+ Guide build vs. buy decisions for data tooling and platforms
+ Enable analysts and product teams with trusted, well-modeled datasets
+ Partner with stakeholders to translate product questions into measurable data signals
+ Improve instrumentation strategy to ensure high-quality behavioral data
+ Support self-service analytics and AI-assisted exploration
+ Collaborate across Product, Engineering, Data Science, Research and Design
+ Influence technical direction without direct authority
+ Drive alignment on data standards, governance, and best practices
+ Communicate complex technical concepts to both technical and non-technical audiences
**Minimum Qualifications**
+ 10+ years of experience in data engineering, data platform engineering, distributed systems, or related technical roles, including ownership of large-scale production data systems
+ Strong hands-on experience with Python, Spark, PySpark, advanced SQL, and scripting
+ Experience with:
+ LLM ecosystems, embeddings, vector databases
+ Retrieval-augmented generation (RAG)
+ Agent frameworks or orchestration systems
+ Experience with streaming technologies (Kafka, Flink, Spark Streaming)
+ Knowledge of analytics engineering and semantic layer tools (dbt, metrics stores)
+ Experience with data governance, lineage, and cataloging systems
+ Exposure to product analytics and experimentation frameworks
+ Experience designing and operating reliable ETL/ELT pipelines across batch and streaming workloads, including orchestration, validation, backfills, incremental processing, and data quality checks
+ Experience with modern data platforms, including Iceberg, Hive, Snowflake, Redshift, Athena, or equivalent technologies
+ Hands-on experience with AWS services, including EMR, Glue, S3, IAM, Lambda, Step Functions, and related cloud-native infrastructure
+ Demonstrated ability to lead cross-functional technical initiatives, influence architecture, define engineering standards, and mentor engineers
+ Strong communication skills with technical and non-technical stakeholders.
**Preferred Qualifications**
+ Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms
+ Experience with ingestion, orchestration, and transformation tools such as Airflow, dbt, Fivetran, or similar
+ Experience partnering with product, design, research, analytics, and ML teams to create data products that directly inform user experiences or power intelligent product capabilities
+ Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments
+ Track record of modernizing data infrastructure in environments with fragmented systems, evolving requirements, or limited standards
**Learn More**
**About Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
**Salary transparency**
Salary is one part of Autodesk's competitive compensation package. For Canada based roles, we expect a starting base salary between $120,000 and $176,000. Offers are based on the candidate's experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
**Belonging**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: you an existing contractor or consultant with Autodesk?**
Please search for open jobs and apply internally (not on this external site).