Software Engineer AI - Multiple Levels

2 нед. назад

CanadaWorldwideOnsite

awsserverlessinfrastructure as code

Develop and operate secure, scalable AI-driven platform services on AWS for a global product suite.

О компании

is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. 
Learn more at .com or follow us on  LinkedIn  and  Facebook
 
 
What Offers You  
Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients
We care about our people.  offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs to name a few
We have teams all over the world . We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding.
created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. 
Headquartered in New York, has offices in Washington D.C.,  London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney.  To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our office locations, you will be expected to  work onsite at least 50% of the time.  We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.
 
We are a drug free workplace. is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also 's EEO Policy and Know You
At , we recognize the value of a diverse global workforce. Visa sponsorship may be available for select positions based on business needs and specific role requirements. Sponsorship decisions are evaluated on a case-by-case basis, and eligibility should not be assumed for all opportunities.
Please find the link to our candidate privacy policy here:   
To all recruitment agencies: does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, employees or any other organization location. is not responsible for any fees related to unsolicited resumes.

Обязанности

Design and implement secure, scalable, fault-tolerant, high-performing solutions using AWS serverless technology — event-driven, highly observable, and built with infrastructure as code.
Collaborate with AI researchers/engineers to translate AI and LLM capabilities into robust, production-grade services, and help other teams integrate them.
Build and maintain the pipelines needed to deploy, monitor, and manage AI services at scale — observable, resilient, and cost-effective.
Use AI-powered development tools (code assistants, test generation, architecture exploration) responsibly to accelerate delivery and improve quality, always validating outputs.
Participate in architecture discussions and design reviews, and contribute to product design by understanding customer problems — especially where AI can offer a breakthrough solution.
Work in a collaborative, agile environment: pair, plan, and execute as a team, optimizing for team productivity and healthy delivery metrics (e.g., DORA).

Будет плюсом

Experience with AWS CDK, TypeScript, and React.
Microservices and event-driven architecture.
CI/CD pipelines and automated testing on AWS, including AI-assisted DevOps tooling.
Practical experience deploying and managing AI applications in production.
Understanding of MLOps challenges: prompt/flow management, data drift, performance monitoring, RAG pipelines, or semantic search.

Другое

This position is based in  Vancouver, BC , within ’s Technical Center of Excellence. We are currently hiring candidates who are based in or able to work from Vancouver . 
Levels: Software Engineer II Senior Software Engineer Staff Software Engineer Location: Vancouver
As a Software Engineer on 's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across 's global product suite. You'll build secure, scalable, serverless services on AWS that translate AI research and models into commercial-quality, production-ready solutions — enabling customers to derive insights from their governance data.
You'll work closely with AI researchers, product managers, and other engineering teams, owning your services end-to-end: architecture, implementation, deployment, and monitoring. The team operates with a strong AI-augmented engineering culture — using AI tools to accelerate coding, testing, debugging, and delivery — while applying sound judgment about when and how to apply them.
Professional software engineering experience building web applications in an agile environment (see level modifiers for years).
Hands-on experience with AWS services; familiarity with infrastructure as code (CDK, Terraform, or similar).
Backend proficiency: RESTful APIs, Node.js/TypeScript or Python, Git, and SQL databases (e.g., PostgreSQL).
Frontend familiarity: experience with React or Angular.
Practical, hands-on use of AI tools (code assistants, prompt engineering, AI-assisted debugging/testing) to boost productivity, with the judgment to validate outputs responsibly (bias, cost, ethics, accuracy).
Working understanding of core AI/LLM concepts (tokens, context length, embeddings, hallucinations) and safe vs. unsafe use cases (privacy, security, fairness).
Ability to write readable, well-tested, secure code aligned with SOLID principles.
Strong communication skills — able to discuss architectural decisions and explain technical concepts clearly.
Passion for continuous learning and curiosity about how AI is transforming software engineering.
Bachelor's degree in Computer Science or related field (or equivalent practical experience).