Devops Engineer

Machine Learning Technologies, LLC; Charlotte (NC); In loco; USD 110.000 - 165.000; Tempo pieno

Descrizione del lavoro

Machine Learning Technologies, LLC is seeking a Senior DevOps Engineer to design, build, and operate scalable CI/CD pipelines for our cloud-native AI workloads.

You will automate GCP infrastructure (GKE, Cloud Run, IAM) with Terraform, implement blue/green deployment strategies, and monitor production health with Datadog and Cloud Monitoring, collaborating across engineering, security, and product teams to deliver a reliable agentic AI platform. Strong scripting in Python/Bash is a plus.

Competenze

• 6+ years in DevOps, SRE, or Cloud Engineering roles
• 2+ years building and maintaining CI/CD pipelines (Cloud Build, Jenkins, GitHub Actions, ArgoCD)
• 2+ years with Google Cloud Platform services (GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, IAM)
• Experience with IaC tools such as Terraform or Deployment Manager
• Scripting in Python, Bash, or Groovy

Mansioni

• Design, build, and operate scalable CI/CD pipelines for cloud-native AI workloads
• Automate provisioning and configuration of GCP infrastructure (GKE, Cloud Run, IAM) using Terraform
• Plan and execute releases across development, test, staging, and production CXAS environments
• Write and maintain automated deployment scripts and progressive rollout strategies (blue/green, canary)
• Configure and maintain monitoring, logging, and alerting (Cloud Monitoring, Cloud Logging, Datadog)
• Support integration between Kore.ai IVR platform and Google CXAS including webhooks and APIs
• Collaborate with security/compliance to enforce least-privilege access
• Document pipeline architecture, runbooks, and operational procedures
• Participate in stand-ups, sprint planning, and on-call rotations

Conoscenze

CI/CD pipelines

Cloud engineering

Communication skills

Team collaboration

English proficiency

Formazione

BA/BS in CS/IT

Strumenti

Terraform

GCP

Docker

Kubernetes

GitHub Actions

Descrizione del lavoro

Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD

Job Description: -

• Actively and consistently support all efforts to simplify and enhance the customer experience.


• Design, build, and maintain CI/CD pipelines (e.g., Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD) that deploy and version Google CCAI/Conversational Agents (CXAS) agent configurations, playbooks, flows, and supporting webhook services.


• Automate provisioning and configuration of Google Cloud Platform (GCP) infrastructure — including GKE, Cloud Run, Cloud Functions, Pub/Sub, Cloud Build, and IAM — using Infrastructure as Code (e.g., Terraform).


• Work with developers, testers, QA, and deployment teams to plan and execute releases across development, test, staging, and production CXAS environments.


• Write and maintain automated deployment scripts and progressive rollout strategies (blue/green or canary) to minimize risk and downtime for a customer-facing production system.


• Configure and maintain monitoring, logging, and alerting (e.g., Cloud Monitoring, Cloud Logging, Datadog) for both the CI/CD pipeline and the production agentic AI platform, including deployment health, latency, and error-rate signals.


• Support the integration pipeline between the Kore.ai IVR platform and Google CXAS, including webhook, API, and telephony-transfer configuration changes.


• Partner with security and compliance teams to remediate vulnerabilities, manage GCP IAM roles/policies, and enforce least-privilege access across projects handling customer data.


• Serve as a point of contact for production support, troubleshooting CI/CD pipeline and deployment-related issues for the agentic AI platform.


• Maintain clear documentation for pipeline architecture, deployment runbooks, and operational procedures.


• Participate in project-related stand-up meetings, sprint planning, and on-call rotation.

Experience:

• 6+years of experience in DevOps, Site Reliability Engineering, or Cloud Engineering roles, or an equivalent combination of education and experience


• 2+ years of hands-on experience building and maintaining CI/CD pipelines (e.g., Cloud Build, Jenkins, GitLab CI/CD, GitHub Actions, or ArgoCD)


• 2+ years of experience with Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud Build, Pub/Sub, and IAM


• Experience with Infrastructure as Code tools such as Terraform or Google Cloud Deployment Manager


• Experience with scripting languages such as Python, Bash, or Groovy

Education:

• BA/BS in Computer Science, Information Technology, or a related field, or equivalent work experience

Technical Skills:

• Working knowledge of containerization and orchestration technologies (Docker, Kubernetes/GKE)


• Working knowledge of source control systems (Git, GitHub, or GitLab)


• Foundational understanding of conversational AI/contact-center platforms (e.g., Google CCAI, Dialogflow CX/Conversational Agents, Kore.ai, or similar IVR/voice platforms)

Skills:

• Understanding of software design patterns, principles, and the software development life cycle (SDLC)


• Demonstrated verbal and written communication skills


• Ability to collaborate effectively across cross-functional engineering, product, and conversational AI/NLU teams

Abilities:

• Ability to read, write, speak, and understand English


• Ability to deal with ambiguity, uncertainty, and incomplete information when evaluating alternatives and making recommendations


• Ability to identify measures or indicators of system performance and the actions needed to improve or correct performance, relative to the goals of the system


• Ability to work seamlessly within a team as well as manage individual tasks


• Ability to write clear technical documentation for use by developers, testers, and operations

Preferred Qualifications

• Hands-on experience with Google Customer Engagement AI (CCAI) / Conversational Agents (Dialogflow CX/CXAS), including agent versioning, environments, and deployment


• Experience integrating cloud CI/CD pipelines with third-party IVR/contact-center platforms (e.g., Kore.ai) via APIs or webhooks


• Familiarity with monitoring/observability tools such as Cloud Monitoring, Datadog, or Grafana


• Experience with blue/green or canary deployment strategies for customer-facing production systems


• Knowledge of security and compliance practices for cloud-hosted customer support systems that process personally identifiable information (PII)

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.