About Minga
Minga means community. It’s the belief that we achieve more together than we ever could alone. At Minga, joining our team isn't just about a new role, it's about joining a collective that is deeply invested in your growth, your impact, and your connection to the people around you.
We’re building the Student Behavior Platform schools can’t live without, and we’re having fun doing it.
We are a tight-knit group of curious, low-ego humans who genuinely enjoy the "we" over the "me."
- Supportive Growth: You aren’t on an island. You’ll have the autonomy to do your best work and a community that has your back every step of the way.
- Shared Ownership: Whether at our Kelowna HQ or remote, you’re a vital part of a team that cares as much about the people as the product.
- Real Impact: Everything we do supports the educators and students we serve, creating a ripple effect of connection in schools everywhere.
Ready to be part of the community?
Come help us make school life better for everyone.
The Role
We’re not just hiring for a position, we’re adding a teammate We are looking for a Lead Platform & Data Infrastructure Engineer to own and evolve the systems that power both our product runtime and our analytics ecosystem. This is a senior, systems-level role for someone who thinks in platforms, not just services.
Minga is scaling its product, its infrastructure, and its data capabilities. Today, our systems support current growth. But as we scale users, data volume, and engineering headcount, we need stronger foundations across:
- Infrastructure reliability
- Developer platform tooling
- Database scalability
- Data pipelines and analytics architecture
What You’ll Do
Infrastructure & Reliability at Scale
- Lead evolution of our Kubernetes-based infrastructure.
- Improve resilience, scalability, and fault isolation.
- Strengthen networking, database connection strategies, and service reliability.
- Reduce production risk through proactive reliability engineering.
Data Platform & Pipelines
- Design and implement reliable data pipelines from product systems to our data warehouse.
- Help decouple OLTP workloads from analytics workloads.
- Improve data reliability, monitoring, and lineage.
- Collaborate with product and analytics stakeholders to support reporting needs.
- Ensure data systems scale with customer growth and usage patterns.
Developer Platform & CI/CD
- Improve CI/CD reliability and deployment confidence.
- Simplify local and ephemeral development environments.
- Build repeatable infrastructure patterns via infrastructure-as-code.
- Reduce friction for engineers shipping features.
Observability & Operational Excellence
- Improve logging, metrics, tracing, and system visibility.
- Define SLIs/SLOs for both product runtime and data systems.
- Lead technical post-incident reviews and systemic improvements.
- Establish clarity in operational health reporting.
A Lead Platform & Data Infrastructure Engineer
- Anticipates scale constraints before they become outages.
- Designs systems that engineers don’t need to think about.
- Balances runtime reliability with data scalability.
- Improves velocity by reducing operational drag.
- Makes architectural decisions that hold up under 5–10x growth.
What We Require ✅
- 7+ years in backend, infrastructure, or platform engineering.
- Strong production experience with Kubernetes.
- Experience operating systems on GCP (or similar cloud provider).
- Experience building or maintaining data pipelines and warehouse integrations.
- Strong understanding of database scaling, connection management, and replication.
- Experience with CI/CD systems and infrastructure-as-code.
- Familiarity with containerized environments (Docker).
- Strong debugging skills in distributed systems.
- Clear written and verbal communication skills.
Who You Are
- Experience designing multi-tenant SaaS systems.
- Experience with streaming/event-driven architectures.
- Experience with data warehouse platforms (e.g., BigQuery, Snowflake, Redshift).
- Experience improving OLTP-to-OLAP separation.
- Familiarity with observability tooling (Honeycomb, Datadog, OpenTelemetry).
- Experience supporting analytics or BI teams.
Role Compensation
Base Salary: $130,000 - $150,000
Compensation Philosophy & Transparency
At Minga, we believe compensation should reflect impact, fairness, and market alignment, supporting our mission to empower educators and students while building a high-performing, people-first culture. Our standard is to pay at or near the midpoint of the range unless there is a clear business rationale to vary. This approach allows for growth and provides room to learn and develop within the role. We also conduct annual compensation reviews in November, which take into account both market benchmarks and individual performance.
Check out our Benefits & Perk Page for a full review of the overall compensation package.
AI at Minga
At Minga, we believe AI should make your work faster, smarter, and less repetitive — not more complicated. AI is meant to augment how we work, not replace human thinking or judgment
- Leverage AI, but stay you. We expect you to use the tools available to you, but remember that Minga is built on real people. Your resume and "Why Minga" answer will be read by a real life human, so give us a glimpse of the person behind the profile.
- During your interview we value your unique voice over a perfect prompt. It's okay to not answer perfectly.
What You Can Expect From Us
At Minga, you’re more than just an application, you’re a real person with a story we want to hear.
We believe in clear communication, mutual respect, and ensuring every candidate walks away feeling valued, whether we end up working together or not.
Ready to Apply?
If this role feels like a fit or even a maybe, hit apply.
We’re genuinely excited to learn more about you. Let’s build something meaningful together.
