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Software Engineer, Infrastructure (TOR)

Join Doppel as a backend engineer to build scalable infrastructure for an AI-native social engineering defense platform.

Location

Toronto, ON

Compensation

Not disclosed

Level

mid

Type

full time

Posted by employer 5 months ago

First seen on Joblaze 1 month ago

Last verified on the company career page 8 hours ago

Apply at Doppel → Save job Scanned from doppel.com

Skills & Technologies

Terraform Kubernetes

AI in the day-to-day

Our AI-native platform uses agentic AI to protect against digital threats.

Not disclosed in this posting: compensation, years of experience, work arrangement, visa sponsorship.

Benefits

Quarterly team offsites Flexible PTO Free lunch and dinner in the office

Joblaze summary

In this role, the Software Engineer will focus on developing and enhancing the backend infrastructure to support Doppel's AI-driven social engineering defense platform. Key skills include expertise in Kubernetes, Elasticsearch, and Terraform, as well as a strong understanding of observability practices. This position is ideal for experienced engineers who thrive in a fast-paced startup environment and are passionate about cybersecurity. Doppel's mission-driven culture emphasizes ownership and collaboration, making it a compelling place for those looking to make a significant impact.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Doppel's careers page October 29, 2026.
Kubernetes appears in 27.2% of 533 comparable mid backend roles; Terraform appears in 6.8% of 533 comparable mid backend roles.

Quick facts

What's the tech stack?: Joblaze extracted these technologies from the posting: Kubernetes, Terraform.
What seniority level is this role?: Doppel targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Software Engineer, Infrastructure (TOR) role at Doppel.

From the original posting

What We're Looking For

We’re looking for an experienced backend engineer to build out the infrastructure required to rapidly scale up our engineering organization. A few examples of the work we’ve done recently:

Built self-hosted Elasticsearch infrastructure on Kubernetes, enabling real-time search across millions of alerts and associated metadata.
Defined core infrastructure using Terraform (IaC), allowing reproducible, version-controlled environments and faster onboarding for new engineers.
Stood up a dedicated staging environment, enabling safer releases, feature validation, and automated integration testing before production rollouts.
Introduced observability and tracing (metrics, logging, distributed tracing), improving our ability to debug performance issues and maintain reliability at scale.

🌴 Flexible PTO

✈️ Quarterly team offsites

Standard company text repeated across Doppel's postings is omitted here.

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