DevOps / Site Reliability Engineer (SRE)

SilverSearch, Inc.

United States

3 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Compensation

$135,200.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Application Release Automation Microsoft Azure Cloud Computing DevOps Distributed Systems Github Monitoring of Systems Python (Programming Language) Linux System Administration Machine Learning

+29 more

Performance Tuning Reliability Engineering Prometheus Software Engineering Software Vulnerability Management Datadog Pulumi Scripting Google Cloud Cloud Platform System Spring Cloud Istio Delivery Pipeline Large Language Models Grafana Cloudformation Containerization AI Platforms Gitlab-ci Kubernetes Infrastructure Automation Frameworks Deployment Automation Machine Learning Operations Terraform Splunk Devsecops Docker Jenkins Vulnerability Analysis

Job description

We are seeking a highly skilled DevOps / Site Reliability Engineer (SRE) with experience supporting modern AI platforms and cloud-native infrastructure. This role will focus on building scalable, reliable infrastructure for AI workloads while partnering closely with security and engineering teams to operationalize findings from an emerging AI-driven security platform used to identify code vulnerabilities and infrastructure risks.

This position is ideal for an engineer who enjoys automating infrastructure, improving software delivery pipelines, and supporting the rapid adoption of AI technologies in enterprise environments., * Design, build, and maintain highly available infrastructure supporting AI and machine learning platforms.

Develop scalable platform engineering solutions that enable reliable deployment and operation of AI services.
Partner with development and security teams to remediate vulnerabilities and infrastructure issues identified by the AI driven security platform.
Improve platform reliability through automation, monitoring, observability, and proactive performance tuning.
Build and maintain robust CI/CD pipelines for application and infrastructure deployments.
Automate operational workflows using Python and Infrastructure-as-Code practices.
Implement DevSecOps best practices throughout the software development lifecycle.
Support containerized workloads and cloud-native applications.
Troubleshoot production issues, perform root cause analysis, and implement long-term reliability improvements.
Optimize deployment strategies, release automation, and infrastructure scalability.
Collaborate with AI engineering teams to ensure AI services are secure, resilient, and production-ready.

Requirements

5+ years of experience in DevOps, Site Reliability Engineering, or Platform Engineering
Strong experience designing and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or similar)
Strong Python scripting and automation skills
Experience supporting cloud infrastructure (AWS, Azure, or Google Cloud Platform)
Experience with Infrastructure as Code (Terraform, CloudFormation, or Pulumi)
Hands-on experience with Docker and Kubernetes
Strong understanding of Linux systems administration
Experience implementing monitoring and observability solutions (Prometheus, Grafana, Datadog, Splunk, etc.)
Experience working with security scanning tools and vulnerability remediation
Familiarity with DevSecOps principles and secure software delivery
Experience supporting AI platform engineering or machine learning infrastructure, * Understanding of AI model deployment, inference infrastructure, and scalability considerations
Familiarity with GPU-enabled infrastructure and AI compute environments
Knowledge of vector databases, LLM deployment, or MLOps concepts
Experience with Kubernetes operators, service mesh, or distributed systems
Exposure to AI security tooling
Experience integrating automated security scanning into CI/CD pipelines