Jobs in the United States

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Added just now
Director - Customer Response Engineering
Trellix
Jefferson City, MO
Practical use of AI or LLM tools in debugging, triage, or engineering workflows.
Added just now
Advanced Forward Engineering - Implementation Engineer - Senior
EY
Jefferson City, MO · St. Louis, MO · Kansas City, MO
Practical experience with modern AI application stacks (e.g., LLM‑backed systems, agentic workflows, orchestration frameworks).
Added 1 min ago
Lead AI and Data Science Engineer II
Deloitte
St. Louis, MO · Kansas City, MO
Lead the design of, and advise on, Large Language Model (LLM) solutions for enterprise-wide documentation (e.g., Retrieval-Augmented Generation (RAG), Continued Pre-training (CPT),…
Added 1 min ago
Principal AI Security Architect (Prisma AIRS) - NAM
ManpowerGroup
Kansas City, MO
Experience securing AI/LLM environments in AWS, Azure, or GCP.
Added 6 mins ago
RGM Product Manager
The Coca-Cola Company
Atlanta, GA
Added 15 mins ago
Artificial Intelligence Software Engineer
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 15 mins ago
Software Engineer - AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 15 mins ago
Software Engineer - AI Agents / Generative AI
PNC Bank NA
PA · Strongsville, OH · Birmingham, AL · Dallas, TX
Experience building or integrating AI, machine learning, Generative AI, or LLM-based solutions.
Added 15 mins ago
Quantitative Analytics & Model Analyst Senior - Credit Loss Forecasting (CLF)
PNC Bank NA
PA · Tysons Corner, VA · East Brunswick, NJ · WA
Evaluate and apply generative AI, and LLM-based capabilities where appropriate to improve analytics, model operations, monitoring, and documentation, with appropriate testing, security,…
Added 18 mins ago
Director, Organic Acquisition
Cars.com LLC
Remote, United States
Own and lead organic acquisition strategy for Cars.com including all aspects of SEO from technical, to content to LLM optimization and innovation to drive transformative growth in website…
Added 25 mins ago
Staff Software Engineer, Google Ads, Full Stack
Google
New York, NY
…pipelines) used daily by publishers. We are actively integrating LLM and generative AI capabilities directly into these workflows, making this an ideal role to drive massive, real-world AI…
Added 31 mins ago
Lead Software Engineer - AI
Humana Inc.
Charlotte, NC · Louisville, KY · Work at Home, TX · Tampa, FL · Dallas, TX · Fort Lauderdale, FL · Washington, DC · Chicago, IL · Atlanta, GA · Nashville, TN · Boston, MA
…end-to-end architecture of Centerwell's AI systems, including LLM-powered clinical tools, RAG pipelines, harnesses, agent-based workflows, and intelligent automation. Make and communicate…
Added 34 mins ago
PI
Sr Software Engineer
PayPal, Inc.
San Jose, CA
- $143,500 to $212,850 USD / year
Hands-on experience integrating AI/ML into backend systems: serving and calling ML models and LLM APIs, building feature pipelines, and supporting real-time inference for risk decisioning.
Added 37 mins ago
S
GPU Kernel Engineer
Sciforium
San Francisco, CA
- $190,000 to $250,000 USD / year
- Profile and optimize end-to-end performance of ML operations, with a focus on large-scale LLM training and inference.
Added 37 mins ago
UG
Associate Software Engineer
UnitedHealth Group
Minneapolis, MN
- $60,200 to $107,400 USD / year
Build and maintain agentic workflows using LangGraph (and related libraries) to orchestrate multi-step LLM interactions, tool use, state management, and human-in-the-loop review patterns
Added 40 mins ago
Principal Platform Engineer - People Systems
Apple
Sunnyvale, CA
…configuration recommendations, workload-aware scheduling, and LLM-powered interfaces that simplify complex operator…
Added 42 mins ago
Agentic AI Director of Software Engineering
JPMC page
Columbus, OH · OH
Strong LLM application architecture skills (RAG, tools, agents, orchestration) with a focus on safety and reliability.
Added 45 mins ago
Lead Software Engineer
ZBETA Consulting
Remote, United States
Added 47 mins ago
Deployment Strategist, Public Sector (Federal & SLED) - North America
ElevenLabs
Remote, United States
- Basic Python and API integration skills, enough to prototype, demo and talk credibly with engineering teams, plus familiarity with LLM and AI agent frameworks.
Added 50 mins ago
Staff Software Architect
CVS Shared Services Resources LLC
Remote, United States
…cost-optimized platforms supporting clinical AI/ML workloads - including LLM inference pipelines, document processing at scale, and real-time clinical data…
Added 51 mins ago
A
Sr DevOps Engineer
ArtosAI
San Francisco, CA
- $166,500 to $231,000 USD / year
…You'll help establish scalable infrastructure patterns and developer-friendly workflows that allow engineers to ship software quickly, reliably, and…
Added 52 mins ago
Staff Forward Deployed Engineer
Suki
Redwood City, CA
Experience shipping LLM features to production, including prompt design, evaluation, and trade-offs between latency, cost, and quality.
Added 55 mins ago
C
Senior AI Developer
ClickUp
Remote, United States
- $200,000 to $250,000 USD / year
- Design, build, and own ClickUp's AI evaluation system, including golden datasets, LLM-as-judge and automated scorers, regression detection, and quality tracking across AI features.
Added 1 hour ago
Director of Artificial Intelligence
Compass Group
CHICAGO, IL
Experience with LLM applications, agentic systems, or AI product development beyond traditional ML
Added 1 hour ago
Principal AI Engineer
Scotiabank
Dallas, TX
Develop and integrate machine learning models, LLM-powered applications, retrieval services, and agentic workflows into enterprise systems.

ArtosAI

Sr DevOps Engineer

San Francisco, CA, United States

$166,500 to $231,000 USD / year

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Job details

Pay: $166,500 to $231,000 USD / year
Experience: 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering.
Posting language: English
Posted: Nov 6, 2026

Original job description

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

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More about this job

Skills

AWS
Kubernetes
CI/CD
GitHub
GitLab
Test automation
IBM Terraform
Infrastructure as code
Prometheus
Grafana
Datadog
Identity and access management
Troubleshoot
Root cause analysis
DevOps
Docker
Jenkins
Python
Go
Bash
Programming languages
Linux
DNS
Troubleshooting
Packaging
ML
Regulatory compliance

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