Senior DevOps Engineer

Machine Learning Technologies, LLC; Austin (TX); Vor Ort; USD 140.000 - 190.000; Vollzeit

Zusammenfassung

Machine Learning Technologies, LLC in Austin, TX is seeking a hands-on DevOps Technical Lead/Engineer with deep expertise in AWS, Kubernetes, CircleCI, Argo CD, New Relic, Python, and Bash. You will design and operate cloud infrastructure, CI/CD pipelines, and Kubernetes deployments, applying GitOps, observability, and automation.

You will troubleshoot production issues, collaborate with development, QA, security, and platform teams, and drive reliability, security, and deployment efficiency

Qualifikationen

• Hands-on DevOps experience with AWS, Kubernetes, CI/CD
• Strong knowledge of observability and incident management
• Experience with GitOps, automation, and production reliability

Aufgaben

• Design, build, and maintain CI/CD pipelines using CircleCI.
• Manage Kubernetes deployments using Argo CD and GitOps practices.
• Deploy and operate production workloads on AWS and Kubernetes.
• Automate infrastructure, deployment, monitoring, and operational processes.
• Implement observability with New Relic, including dashboards, alerts, monitoring, and performance analysis.
• Troubleshoot application, infrastructure, Kubernetes, networking, and deployment issues.
• Improve system reliability, scalability, availability, security, and deployment efficiency.
• Develop automation scripts using Python and/or Bash.
• Participate in incident management, root-cause analysis, and continuous improvement.
• Work with Kubernetes components including Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, and RBAC.
• Apply DevSecOps practices and security controls.
• Use AI-assisted development/coding tools for scripting, troubleshooting, testing, documentation, and code reviews, with appropriate testing, security validation, and human review.

Kenntnisse

DevOps leadership

AWS Specialist

Kubernetes

CircleCI

New Relic

Python

Bash

GitOps

Observability

Incident management

Tools

Argo CD

Kubernetes

Terraform

Git

Jobbeschreibung

We are looking for a hands-on DevOps Technical Lead / DevOps Engineer with strong experience in AWS, Kubernetes, CircleCI, Argo CD, New Relic, Python, and Bash.

The ideal candidate should have strong experience building and supporting cloud infrastructure, CI/CD pipelines, Kubernetes deployments, GitOps, observability, automation, and production operations. Candidates should be comfortable independently troubleshooting production issues and working closely with development, QA, security, and platform teams.

Must Have Skills:

• AWS: EC2, S3, IAM, VPC, Load Balancing, Auto Scaling, CloudWatch
• Docker
• CircleCI
• New Relic
• Python and/or Bash
• CI/CD and deployment automation
• Cloud networking and security
• Production troubleshooting and incident management

Key Responsibilities:

• Design, build, and maintain CI/CD pipelines using CircleCI.
• Manage Kubernetes deployments using Argo CD and GitOps practices.
• Deploy and operate production workloads on AWS and Kubernetes.
• Automate infrastructure, deployment, monitoring, and operational processes.
• Implement observability with New Relic, including dashboards, alerts, monitoring, and performance analysis.
• Troubleshoot application, infrastructure, Kubernetes, networking, and deployment issues.
• Improve system reliability, scalability, availability, security, and deployment efficiency.
• Develop automation scripts using Python and/or Bash.
• Participate in incident management, root-cause analysis, and continuous improvement.
• Work with Kubernetes components including Pods, Deployments, Services, ConfigMaps, Secrets, Ingress, Namespaces, and RBAC.
• Apply DevSecOps practices and security controls.
• Use AI-assisted development/coding tools for scripting, troubleshooting, testing, documentation, and code reviews, with appropriate testing, security validation, and human review.

Preferred Skills:

• Terraform
• AWS certification
• CKA / CKAD certification
• Experience with AI coding assistants and developer productivity tools
• Experience in the US Real Estate domain, including property platforms, MLS, mortgage, title, valuation, or related systems

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.