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 • Cloud • Information Technology • Software • Big Data Analytics • Automation
Hunt and close net-new enterprise accounts across Alberta, building executive relationships and value-based business cases. Drive pipeline via prospecting, partners, and events; lead complex sales cycles with Sales Engineers and Customer Success to deliver observability, security, cloud modernization, and AI-driven outcomes.
Top Skills:
AiopsAWSAzureCloud MigrationCybersecurityDevOpsDynatraceGCPObservabilityPlatform Engineering
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Design, deploy, and operate enterprise network infrastructure across data centers and cloud (GCP, AWS, Azure). Manage VPCs, VPNs, BGP, F5 BIG-IP, hybrid connectivity, and observability. Build IaC and automation with Terraform, GitLab CI/CD, and Ansible. Maintain monitoring, documentation, and participate in on-call support for critical incidents.
Top Skills:
AnsibleAWSAzureBgpCloud RouterCloudflareDnsF5 Big-IpFirewallsGCPGitlab Ci/CdHa VpnIp Address ManagementIpsec VpnLoad BalancingTerraformVpc
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead high-impact reliability projects to improve resiliency, scalability, and deployment safety for thousands of services. Build secure configuration and secrets systems, improve canary-based release systems, partner with critical teams to reduce operational toil, drive observability and reliability best practices, participate in on-call rotations, and communicate architecture decisions to stakeholders.
Top Skills:
AWSAzureDatadogGCPGenerative AiGoKibanaRubyTerraform
What you need to know about the Calgary Tech Scene
Employees can spend up to one-third of their life at work, so choosing the right company is crucial, not just for the job itself but for the company culture as well. While startups often offer dynamic culture and growth opportunities, large corporations provide benefits like career development and networking, especially appealing to recent graduates. Fortunately, Calgary stands out as a hub for both, recognized as one of Startup Genome's Top 100 Emerging Ecosystems, while also playing host to a number of multinational enterprises. In Calgary, job seekers can find a wide range of opportunities.
