Design and implement high-performance, low-latency software systems, lead technical architecture discussions, and mentor team members while integrating AI technologies and ensuring scalable backend infrastructure.
Your opportunity
Key responsibilities
Tech stack
Your know-how
It’s a bonus if
Compensation
Our client is a well-financed, seed-stage startup building a platform of agents that automate financial crime investigations and compliance workflows. The company is a Delaware corporation that currently operates with remote teams distributed across the United States and Canada. They are a hard-charging startup that has raised $6.2M, grew to $1M in ARR in under one year, and has marquee clients around the globe including Kraken (US), Koho (Canada), and Viva (EU).
Their product enables customers to invoke (or “hire”) agents that automate AML, sanctions screening, adverse media monitoring, KYC, and transaction screening and monitoring. The solution combats revenue losses that result from high-friction customer onboarding and the rising costs of compliance missteps, and allows growing businesses to scale revenues rapidly without making compliance tradeoffs. The product is not versioned for customers, and the engineering team deploys daily.
The company is led by an experienced founder who has raised more than $100M to date and has grown their last venture to a $1.5B valuation. Both the founder and CTO have led fintechs that required large compliance teams and have had outlier experience in the domain. As of November 2025, the company does not yet have any direct competitors in its space.
- Software architecture and engineering: Design and implement event‑driven, real‑time, highly concurrent systems leveraging advanced concurrency patterns, asynchronous messaging, and performance optimizations to ensure low‑latency, high‑throughput and fault‑tolerance
- Systems architecture and engineering: Collaborate on cloud‑native architecture, infrastructure as code, CI/CD pipelines, autoscaling and load‑balancing strategies, security best practices, and observability efforts
- AI platform engineering: Integrate LLMs and other emerging AI technologies, select and potentially fine‑tune models, orchestrate deployments, and monitor performance
- Technical leadership and mentoring: Guide architecture and design decisions, conduct code reviews, establish best practices, and coach team members to accelerate their technical growth while reinforcing a culture of continuous improvement
- Back-end: Python (FastAPI), Go
- Front-end: React/Next.js
- Database: Cloud SQL, BigQuery, AlloyDB, GCS
- Infrastructure: GCP, Azure
- ML & AI services: OpenAI
- Containers: Kubernetes/GKE
- You are comfortable across the stack with deep architectural experience in large-scale distributed systems and data management
- You have a strong product mindset and are comfortable working iteratively with fuzzy requirements
- You have experience scaling backend infrastructure and are very comfortable with at least one major cloud provider
- You have a bias to action and subscribe to the gettings things done (GTD) engineering methodology
- You have experience building production services/APIs in Python
- You have a fantastic command of English
- You have experience scaling a fast-growing AI and/or B2B SaaS venture
- You have financial compliance domain experience
- You have experience shipping LLM-enabled products/features to production
The base pay range for this role is CA$150,000 – CA$200,000 per year.
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design and implementation of data integration and AI-powered automations. Build ITX transformation maps, optimize SQL databases, author SSRS reports and PowerShell automation, troubleshoot production issues across claims platforms, and support client migrations and product transitions.
Top Skills:
837 EdiAWSClearhealthCodeeditsDesign StudioGithub CopilotIrrItx (Ibm Transformation Extender)Microsoft Copilot 365PowershellSQLSsrsUmr/Ppcv
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Lead planning and execution of cross-team software initiatives, maintain delivery visibility, manage risks and dependencies, strengthen Agile practices, use metrics and OKRs to improve predictability, and coordinate stakeholders to ensure timely launches and continuous improvement.
Top Skills:
AirtableChatgptClaudeGeminiGoogle WorkspaceJIRAJpd
Fintech • Financial Services
Own end-to-end full-stack features using Next.js/React, NestJS GraphQL, and .NET/C#. Design, deploy, and operate services on AWS/EKS via CI/CD. Use AI tools to accelerate development, collaborate with product and distributed teams, contribute to architecture, mentor engineers, and participate in on-call rotations to support production.
Top Skills:
.NetAi ToolsAmazon EksAWSC#Ci/CdGraphQLKubernetesNestjsNext.JsReact
What you need to know about the Vancouver Tech Scene
Raincouver, Vancity, The Big Smoke — Vancouver is known by many names, and in recent years, it has gained a reputation as a growing hub for both tech and sustainability. Renowned for its natural beauty, the city has become a magnet for professionals eager to create environmental solutions, and with an emphasis on clean technology, renewable energy and environmental innovation, it's attracted companies across various industries, all working toward a shared goal: advancing clean technology.
