Skip to content

Open nowPosted 16 hours ago

Sr DevOps Engineer

ArtosAI5 open roles

Pay
$166,500 – $231,000 a year
Where
San Francisco
Work mode
On site
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSr DevOps EngineerArtosAI · San Francisco
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on ArtosAI's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.6% of postings close within 7 days. Measured by our own scanner across the market. ArtosAI postings stay open a median of 14 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.7%3 days
  3. 13.6%7 days
  4. 21.9%14 days
  5. 36.9%30 days
  6. 59.0%60 days
This job: posted 16 hours ago

ArtosAI median: 14 days open

The posting

ABOUT ARTOS:

At Artos, we build tools that help biopharma companies create and manage their R&D documentation in a fraction of the time. If you’re looking to join a team whose mission is to fundamentally change the way that drug development gets done, we’d love to talk to you.

ABOUT THE ROLE:

We're looking for a Senior DevOps Engineer to design, build, and maintain the infrastructure that powers our platform. You'll play a critical role in scaling our AWS infrastructure, improving Kubernetes environments, automating deployments, and building tools that make our engineering team more productive.

This is a hands-on role for someone who enjoys solving complex infrastructure problems, building reliable systems, and eliminating operational friction through automation. You'll help establish scalable infrastructure patterns and developer-friendly workflows that allow engineers to ship software quickly, reliably, and securely.

We value pragmatic engineering, thoughtful automation, and choosing the right tools for the problem rather than introducing complexity for its own sake.

WHAT YOU'LL DO:

- Design, build, and maintain reliable, scalable AWS infrastructure across production and development environments.

- Manage and optimize Kubernetes clusters, containerized applications, and deployment workflows.

- Build and improve CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Argo CD, incorporating automated testing, dependency scanning, and container image scanning.

- Develop reusable infrastructure components and automate provisioning using Terraform and infrastructure-as-code best practices.

- Create standardized deployment patterns, infrastructure templates, and self-service tooling that improve developer productivity.

- Implement and maintain monitoring, logging, metrics, tracing, and alerting using tools such as Prometheus, Grafana, Datadog, or similar platforms.

- Improve infrastructure reliability, performance, availability, and cost efficiency.

- Automate repetitive operational tasks, environment configuration, and infrastructure maintenance.

- Integrate tools such as Trivy, Snyk, or Checkov into development and deployment workflows to identify vulnerabilities and infrastructure misconfigurations.

- Manage cloud access controls, IAM policies, secrets management, and secure configuration practices using AWS-native services or tools such as HashiCorp Vault.

- Troubleshoot production incidents, perform root cause analysis, and implement long-term improvements.

- Collaborate closely with software engineers to improve deployment workflows, application performance, and overall developer experience.

- Help establish infrastructure standards and operational practices that support a growing engineering organization.

WHAT WE'RE LOOKING FOR:

- 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering.

- Strong hands-on experience designing and operating production infrastructure on AWS.

- Deep experience with Kubernetes, Docker, and container orchestration.

- Experience building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Argo CD, or similar tools.

- Strong experience with Terraform or comparable infrastructure-as-code tooling.

- Proficiency in Python, Go, Bash, or similar scripting and programming languages.

- Strong understanding of Linux, networking, DNS, load balancing, and distributed systems.

- Experience with monitoring and observability platforms such as Prometheus, Grafana, Datadog, or OpenTelemetry.

- Experience with infrastructure automation, configuration management, and repeatable deployment processes.

- Familiarity with container security scanning, dependency scanning, and infrastructure validation tools.

- Working knowledge of AWS IAM, secrets management, and cloud networking best practices.

- Experience troubleshooting complex production issues and improving system reliability.

- Ability to make sound architectural decisions while balancing scalability, maintainability, cost, and operational simplicity.

- Strong ownership mindset and the ability to work collaboratively in a fast-moving engineering environment.

NICE TO HAVE:

- Experience building internal developer platforms, self-service infrastructure, or standardized deployment workflows (paved roads).

- Experience with Kubernetes packaging and configuration tools such as Helm templates or Jsonnet.

- Familiarity with declarative configuration languages and tools such as ytt/Starlark, CUE, or Dhall.

- Experience evaluating configuration and templating approaches based on expressiveness, maintainability, and operational practicality.

- Experience with GitOps workflows using Argo CD or Flux.

- Experience with Kubernetes operators, service meshes, or advanced cluster networking.

- Experience with cloud security and infrastructure scanning tools such as Trivy, Snyk, Checkov, or tfsec.

- Familiarity with policy-as-code tools such as Open Policy Agent (OPA), Kyverno, or HashiCorp Sentinel.

- Experience with secrets management tools such as HashiCorp Vault or AWS Secrets Manager.

- Experience supporting multi-tenant SaaS applications or distributed systems at scale.

- Experience with AI/ML infrastructure, data pipelines, or compute-intensive workloads.

- Experience operating infrastructure in regulated environments or supporting SOC 2 compliance requirements.

- Experience working in an early-stage or rapidly scaling startup.

WHAT SUCCESS LOOKS LIKE:

- Cloud infrastructure is reliable, scalable, observable, and cost-efficient.

- Kubernetes environments and deployment pipelines are stable, automated, and easy to maintain.

- Engineers can provision infrastructure and deploy applications with minimal operational friction.

- Infrastructure changes are repeatable, version-controlled, and consistently validated.

- Monitoring and alerting provide clear visibility into system health and performance.

- Security checks are integrated into existing engineering workflows without creating unnecessary bottlenecks.

- Manual operational work is reduced through automation and improved developer tooling.

- The engineering organization has infrastructure foundations that support continued growth and faster software delivery.

Other Information:

Very comfortable working in a fast-paced and intense startup environment

Willing to work in-person in our office in Mission Bay 4-5 days/week

Likes matcha KitKats, believes every LLM prompt is just Schrödinger’s cat waiting to be observed, and knows too many random facts about the Mongol postal system

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against ArtosAI's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on ArtosAI's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    ArtosAI's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.