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Software Engineer, Infrastructure

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

Location
San Francisco
Compensation
Not disclosed
Level
mid
Type
full time

Posted by employer 1 year ago

First seen on Joblaze 1 month ago

Last verified on the company career page 1 day ago

Apply at Doppel → Save job Scanned from doppel.com

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

Free lunch and dinner Quarterly team offsites Flexible PTO

Joblaze summary

In this role, the Software Engineer, Infrastructure will focus on developing and enhancing the backend systems that support Doppel's AI-driven platform for social engineering defense. 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 talent in the tech industry.

Joblaze insights

  • Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Doppel's careers page October 27, 2026.
  • Kubernetes appears in 28% of 528 comparable mid backend roles; Elasticsearch appears in 0.9% of 528 comparable mid backend roles.

Quick facts

What's the tech stack?
Joblaze extracted these technologies from the posting: Elasticsearch, 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 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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