Technical Solutions Engineer
San Francisco$167k - $231kFull-timePosted 1mo ago
About the role
Technical Solutions Engineer role at Artos focusing on DevOps, software engineering, and customer-facing deployments to help customers deploy, operate, and scale Artos across cloud and Kubernetes environments.
Responsibilities
- Lead technical deployments of Artos into customer-managed AWS, Azure, and GCP environments.
- Configure and troubleshoot Kubernetes, containers, networking, IAM, authentication, secrets, and other deployment dependencies.
- Diagnose issues across customer infrastructure, Artos application services, APIs, integrations, and application behavior.
- Use logs, metrics, traces, and code-level debugging to isolate root causes and drive issues through resolution.
- Reproduce application issues, investigate bugs, contribute to bug reports, validate fixes, and partner with Artos Engineering on resolution.
- Build and maintain deployment automation and infrastructure-as-code using Terraform and related tooling.
- Partner directly with customer DevOps, infrastructure, engineering, and security teams throughout deployment and ongoing operation.
- Improve CI/CD workflows, monitoring, observability, and operational tooling that make Artos easier to deploy and support.
- Own customer-facing technical documentation, including installation and deployment guides, architecture documentation, runbooks, and security review materials.
Qualifications
- 5+ years of experience in solutions engineering, DevOps, SRE, platform engineering, software engineering, cloud infrastructure, or a similar technical role.
- Strong hands-on experience with Kubernetes, Docker, Terraform, and cloud infrastructure.
- Experience deploying and supporting production applications on AWS, Azure, or GCP.
- Software engineering skills and the ability to debug application-level issues rather than treating the application as a black box.
- Ability to work with and troubleshoot APIs, application services, integrations, logs, and distributed systems.
- Ability to write and debug code or automation using TypeScript, Python, Bash, or similar languages.
- Strong understanding of networking, IAM, authentication, secrets management, and cloud security fundamentals.
- Familiarity with CI/CD, monitoring, logging, and observability tooling.
- Strong communication skills and experience working directly with customer engineering teams.
- Ability to independently take ambiguous technical problems from initial customer report through root cause and resolution.
Skills
Required:KubernetesDockerTerraformCloud platformsProgramming/Scripting
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Artos
Authoring documents for life sciences in minutes, not months.
Artos is an AI-based document-drafting platform that helps life sciences companies turn their data into critical documents in minutes. These submissions currently take months and are the final hurdle before life sciences companies are allowed to sell their product.
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