Senior Software Engineer - Data Platform & AI Automation

1 нед. назад

CanadaWorldwideSeniorOnsite

ci/cddata pipelinesmlopsautomated reportingdata transformationdata ingestiondata orchestration

Senior software engineer to own and develop the production data platform and AI automation workflows.

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.
 
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  US EEOC ’ s Know You
We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@.com.

Другое

Must be based in Vancouver The role  
We're hiring a dedicated data engineer to own the production data platform that our delivery, product, and engineering teams run on; designing integrated, governed data pipelines and delivering automated reporting, AI-assisted workflows, and predictive signals on top of them. You'll write production code, design systems, own CI/CD, and be accountable for the correctness of data that leaders make decisions on.   
What  you'll  do  
Design and operate our cloud data platform: ingestion, transformation, orchestration and serving.  
Integrate data from across the business (delivery tooling, CRM, product telemetry, finance, support and customer feedback systems) with shared identifiers, data contracts and lineage.  
Build automated and continuously refreshed reporting so teams manage by exception rather than chasing status.  
Connect approved AI agents to governed data with structured outputs, provenance, guardrails and human approval in the loop.  
Build feature pipelines and the MLOps controls behind predictive use cases: tests, versioning, promotion gates and drift monitoring.  
Own the engineering standards for data: testing, observability, environment promotion, PII classification and access control.  
What  you'll  bring  
Strong software engineering fundamentals: production-quality code, API and interface design, testing discipline, systems design.  
Real experience building and operating production data platforms on a cloud warehouse or lakehouse (Snowflake and AWS preferred) with dbt and a modern orchestrator.  
Practical AI tooling experience: something shipped, not prototyped. LLM-backed classification, extraction or structured-output pipelines; agent and tool-calling workflows; retrieval; evals.  
You can reason about cost, latency, failure modes and when not to use a model.  
Sound governance judgement: data quality, observability, lineage, versioned contracts, auditability, PII handling.  
CI/CD and DataOps: automated testing, release gates, infrastructure automation, rollback.  
Comfort working directly with engineering, product, finance and security stakeholders.  
Nice to have  
Feature stores and MLOps tooling: serving and monitoring models in production  
Experience working with and designing MCP Servers  
Experience with BI platforms and semantic layers  
You already use AI coding tools as part of how you work