DevOps Engineer (Data & AI Platform)

<h2><span style="color: #000000;"><strong>DevOps Engineer (Data &amp; AI Platform)</strong></span></h2> <h3><span style="color: #000000;"><strong>Role Summary</strong></span></h3> <p><span style="color: #000000;">We are hiring a DevOps Engineer to support and scale our Data and AI platform in production. This role focuses on building reliable infrastructure for data pipelines and ML systems, standardizing deployment patterns, and ensuring performance, observability, and cost efficiency across compute-intensive workloads.</span></p> <h3><span style="color: #000000;"><strong>Responsibilities</strong></span></h3> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">Build and operate infrastructure for data pipelines and AI/ML workloads</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Develop and maintain CI/CD for application and model lifecycle (build, train, deploy)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Manage Infrastructure as Code (Terraform) across environments</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Support containerized workloads and orchestration (Docker, Kubernetes)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Partner with Machine Learning teams and engineering to productionize models</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Implement monitoring, logging, and tracing for data flow and model performance</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Improve reliability, scalability, and cost efficiency of data systems</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Enforce security and access controls for data and infrastructure</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Reduce operational overhead through automation and tooling</span></li> </ul> <h3><span style="color: #000000;"><strong>Required Qualifications</strong></span></h3> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">3+ years of experience in DevOps, SRE, or infrastructure engineering</span></li> <li style="color: #000000 !important;"><span style="color: #000000;"><strong>End-to-End MLOps/LLMOps Expertise:</strong> Experience deploying and maintaining ML/AI workflows. Familiarity with the unique nature of promoting AI assets (models, datasets, and code) through the lifecycle.</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Strong cloud experience (AWS preferred)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Proficiency with Terraform (or similar IaC tools)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with Docker and Kubernetes</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Familiarity with CI/CD and Git-based workflows</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience supporting data platforms (e.g., Airflow, Kafka, Spark, or similar)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Programming/scripting (Python, Bash, or similar)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with observability tools and practices</span></li> </ul> <h3><span style="color: #000000;"><strong>Preferred Qualifications</strong></span></h3> <ul> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with MLOps tooling (e.g., MLflow, SageMaker, Kubeflow)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Familiarity with LLM-based systems and AI observability(token usage tracking, prompt versioning) and evaluation loops</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with real-time or high-throughput data systems</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Exposure to security and compliance requirements (e.g., SOC 2, HIPAA)</span></li> <li style="color: #000000 !important;"><span style="color: #000000;">Experience with specific MLOps tooling (Outerbounds, SageMaker, Metaflow) and vector database</span></li> </ul> <h4>Benefits</h4> <p>We offer a competitive benefits program including:</p> <ul> <li>Privatized Medical, Dental &amp; Vision Coverage</li> <li>Work From Home stipend&nbsp;</li> <li>Flexible Time Off (FTO), wellbeing days, paid holidays, and Summer Fridays</li> <li>Monthly Meal Reimbursement</li> <li>Holiday Bonus, 15-day Aguinaldo</li> <li>Hybrid Work Schedule &amp; Catered Lunch</li> <li>A relocation bonus for candidates joining us from a different city&nbsp;</li> <li>Employee Resource Groups (ERGs)</li> </ul> <h4>California Job Applicant Privacy Notice</h4> <p>Thank you for your interest in opportunities at SimplePractice LLC (“SimplePractice” or “us” or “we” or “our”). Please note that when you submit your resume or application materials to us for employment purposes, you are subject to the&nbsp;<a href="https://www.simplepractice.com/california-applicant-notice/" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://www.simplepractice.com/california-applicant-notice/&amp;source=gmail&amp;ust=1675378662313000&amp;usg=AOvVaw2ZbzyQ21c6B5cOMzeuFQSZ">SimplePractice California Job Applicant Privacy Notice</a>.&nbsp;</p> <p><span id="m_1621214006982048391m_-6845499209137127035gmail-docs-internal-guid-91144e98-7fff-03fc-6900-7b622e04c05c">For more information about our privacy practices, please contact us at&nbsp;<a href="mailto:privacy@simplepractice.com">privacy@simplepractice.com</a>.</span></p> <p><strong>Notice to Candidate:</strong></p> <p>SimplePractice has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team. We do not have any affiliation or connection to these situations and only post open roles on our official Careers page (<a href="http://simplepractice.com/careers">simplepractice.com/careers</a>) and reputable job boards like our official LinkedIn or Indeed pages.&nbsp;</p> <p>All official SimplePractice recruitment emails will be sent from the domains @simplepractice.com, no-reply@greenhouse.io or no‑reply@linkedin.com email addresses.&nbsp;</p> <p>Examples of fraudulent domains include careers-simplepractice.com, simplepractices.com, and simplepractice.careers.</p> <p>Please note that SimplePractice will never ask candidates or new hires for money or payment of any kind at any stage of the recruitment or onboarding process.</p><div class="content-pay-transparency"><div class="pay-input"><div class="description"><hr> <p>Base salary is one component of total compensation. Employees may also be eligible for an annual bonus or commission. Some roles may also be eligible for overtime pay.</p> <p>The amount below represents the expected annual base compensation range for this job requisition. Ultimately, in determining your pay, we’ll consider many factors including, but not limited to, skills, experience, qualifications, geographic location, and other job-related factors.</p></div><div class="title">Base Compensation Range</div><div class="pay-range"><span>$1,124,480</span><span class="divider">&mdash;</span><span>$1,405,600 MXN</span></div></div></div>