Sr Software Engineer Data Center Automation Services jobs at Amazon in Canada

Key job responsibilities
• Design and develop a state-of-the-art Agentic service platform using Gen AI/ML technologies that provide consistent, well-reasoned outcomes for advertiser guidance in a secure & reusable architecture, delivering low latency and secure advertiser experiences
• Optimizing for operation costs at scale through efficient resource utilization, token consumption and memory footprint at scale.
• Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
• Pioneer new approaches to conversational AI and natural language interactions in advertising
• Shape the future of how businesses connect with customers through AI-powered advertising
• Create scalable systems that process millions of data points to deliver hyper-personalized ad experiencesWhat we're looking for:
• Passionate about Generative AI, Large Language Models, and their real-world applications
• Strong software engineering skills with experience in distributed systems and cloud technologies
• Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
• Track record of delivering innovative solutions that drive business impact
• Enthusiasm for staying current with the rapidly evolving AI landscape
A day in the life• Highly analytical: You solve problems in ways that can be backed up with verifiable data. You focus on driving processes, tools, and statistical methods which support rational decision-making.
• Team obsessed: You help the team achieve outstanding results. You foster the creative atmosphere to let engineers innovate, while holding them accountable for making smart decisions and delivering results.
• Humbitious: You’re ambitious, yet humble. You recognize that there’s always opportunity for improvement and use introspection and feedback from teammates and peers to raise the bar for your team.
• Engaged by ambiguity: You're able to explore new problem spaces with unique constraints and thus non-obvious solutions; you’re quick to identify any gaps in the team and the right person to fill them to best deliver value to customers
• Passionate for staying current with the latest developments in AI technologies and applying those insights to real-world product challengesWhy join us?
• Be part of a team that's defining the future of AI in advertising
• Work on projects with massive scale and impact, reaching millions of businesses and consumers
• Collaborate with world-class AI researchers and engineers
• Access to cutting-edge AI technologies and resources

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
- Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations

Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software.
A day in the lifeWhat We Do

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

ABOUT THIS ROLE
As a Security Engineer at Audible you will advocate for information security throughout all our software development and business processes. You will work with other Security Engineers, Application Developers, System Engineers, and Business Stakeholders to protect our customers and Audible’s business.
As a Senior Security Engineer, you will...
- Contribute to designing, implementing, and executing security review and test methodologies for recurring testing of critical production services- Conduct design review, threat modeling, security review, and penetration testing on production systems
- Scope and perform penetration testing and vulnerability research on complex proprietary software and hardware- Prepare and present detailed, written technical information for internal and external audiences
- Participate in third party security risk assessments and due diligence (including helping to secure third-party integrations and partnerships)
ABOUT AUDIBLE

- 3+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
- Bachelor's degree in computer science or equivalent
- Bachelor's degree in a STEM field (Science, Technology, Engineering, Mathematics), or experience in IT Security
- Knowledge of networking protocols such as HTTP, DNS and TCP/IP
- Knowledge of industry-based security vulnerabilities and remediation techniques
- Experience in scripting, programming, and security code reviewing in a common programming language (non-internship)
- Experience in troubleshooting systems issues, analyzing logs, or automating basic tasks using command line tools (non-internship experience)

- 2+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience
- Knowledge of command line tools to troubleshoot protocols, analyze log outputs, or automate basic tasks
- Knowledge of networking protocols such as HTTP(S), DNS, and TCP/IP
- Knowledge of networking protocols, to include HTTP(S), DNS, and TCP/IP
- Experience with AWS products and services
- Experience with programming languages such as Python, Java, C++
- Experience in scripting, programming, or security code reviewing in a common language, such as Python, Java, or C++
- Experience performing security activities across one or more phases of the software development lifecycle (SDLC), such as security design review, threat modeling, secure code review, and security testing

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

• 2+ years implementing cloud architecture
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• 2+ years implementing Data platforms
• Hands on experience with building data or machine learning pipeline
• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

Key job responsibilities
- Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services
- Work on operations and maintenance driven coding projects, primarily in Java
- Software deployment support in staging and production environments
- Develop tools to aid operations and maintenance

- 2+ years of software development, or 2+ years of technical support experience
- Experience scripting in modern program languages
- Experience troubleshooting and debugging technical systems

- Knowledge of web services, distributed systems, and web application development
- Experience troubleshooting & maintaining hardware & software RAID
- Experience with REST web services, XML, JSON

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

As a Sr. Delivery Consultant - Application Modernization, you will be proficient in leading the architecture of complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current applications, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Leading the design and implementation of complex, scalable, and secure AWS solutions tailored to customer needs
2. Provide technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
6. Experience as a tech lead or leading a high performing consulting teamDiverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- 5+ years of experience in cloud architecture and implementation
- Bachelor’s degree in computer science, Engineering, related field, or equivalent experience
- Experience leading application architecture/design/modernization projects, including cloud-based solutioning (AWS or equivalent), with AI and automation
- Experience with Infrastructure as Code (IaC) tools and practices

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Experience leading large-scale software development and modernization initiatives, with deep expertise in multiple programming languages (e.g. Java, Python, C++, JavaScript, Microservices) and Generative AI tools/technologies
- Proven ability to lead software engineering best practices across testing, source control, code reviews, and deployment/release management processes