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Key skills for this role
Lasso Informatics is a SaaS start-up with a live research data management and analysis platform that brings together multi-modal (imaging, genetics, behavioral, and biosample) data for large-scale studies. Thousands of researchers across the globe rely on our platform today, and we are rapidly iterating and improving to push the boundaries of what is possible in research data management.
We live to innovate, and empower scientists to focus on the science, not the technology, leading to a faster time to science and cure.
Our team is incredibly diverse both by background and expertise, and that is not by accident. We believe that the most creative and powerful solutions come from different ways of thinking about the world. You will be working in an inspiring ecosystem alongside world-renowned professionals in medicine, physics, engineering, imaging, epidemiology, software development, and genetics. We thrive on empowering our colleagues to be thought leaders and innovate fresh new solutions for an exciting and rapidly changing field.
Own and operate multi-account AWS and GCP environments (access, reliability, cost, and security posture)
Lead capacity planning, patching, and cost optimization proactively
Manage infrastructure using Infrastructure as Code (Terraform, Ansible, or equivalent)
Identify and remediate security risks, misconfigurations, and reliability gaps
Own and evolve the Datadog observability stack across all environments
Ensure strong coverage across logs, metrics, and alerting for production systems
Continuously improve signal-to-noise ratio in alerting
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Build and maintain a unified operational dashboard with real-time system visibility
Drive measurable improvements in MTTD and MTTR within the first 6 months
Lead incident response, root cause analysis, and post-mortems
Improve system resilience by addressing root causes and preventing recurrence
Identify and close monitoring and operational gaps before they surface as incidents
Maintain production-grade documentation for critical systems, including architecture diagrams, SOPs, and incident runbooks
Ensure documentation enables independent execution by other engineers
Keep documentation aligned with system reality as environments evolve
Deliver consistent, measurable improvements across automation and toil reduction, observability coverage and quality, security posture and compliance readiness, and operational processes and tooling. Approach problems with a systems mindset: fix root causes, not symptoms.
CORE EXPECTATION
5+ years of infrastructure / cloud systems experience, with substantial recent hands-on AWS ownership
Strong hands-on experience with core AWS services (EC2, S3, RDS, EKS, IAM, VPC, etc.)
Working experience with GCP (Compute Engine, GKE, IAM, etc.)
Experience building or significantly evolving an observability stack (Datadog preferred)
Proven ability to operate with autonomy: identifying problems, designing solutions, and driving outcomes
Experience in regulated or compliance-driven environments (HIPAA, GDPR, NIST, SOC 2, or equivalent)
Strong scripting and automation skills (Bash, Python, or equivalent)
Experience with Infrastructure as Code (Terraform preferred)
Ability to produce clear, production-quality technical documentation
Must be legally authorized to work in Canada
AWS or GCP certifications
Kubernetes experience (EKS, GKE)
Experience scaling infrastructure in a high-growth SaaS environment
Background in healthcare, life sciences, or government-facing systems
Experience acting as a senior or leading technical voice within a team
We work on infrastructure supporting real-world clinical and academic research across North America and Europe with high ownership, direct collaboration with engineering and leadership, and the chance to build a best-in-class SysOps function from a strong foundation.
Platform for managing complex, multi-modal research study data.
Visit company websiteJobs and hiring trendsCAD 80000-130000 yearly / year
Full-time
Senior · 5+ years experience
Hybrid
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