DevOps / MLOps Engineer

Hybrid 50% ON SITE, requires candidates local to the area within Westlake, TX / DFW greater metro

We are seeking a hands-on DevOps Engineer to support and modernize cloud infrastructure for a large, mission‑critical platform in the financial services industry. This role is strongly focused on core DevOps engineering — building, automating, securing, and operating cloud-native infrastructure at scale, including build and automate functions within cloud infrastructure for a global set of platforms. The role requires strong skills with Python automation, work with Kubernetes, Azure, Terraform, ARM templates, IAM, networking, and strong Python scripting. You will design CI/CD, manage AKS and containerized workloads, and implement observability and security best practices. You will collaborate with engineers to deliver reliable, scalable services.

This role will require deep DevOps experience and a passion to gain experience / exposure to AI or AI/ML based automation concepts as they exist in the broader environment, however - this role is not AI‑focused. Candidates with primarily configuration‑based tool experience (e.g., Azure DevOps only) will not be a fit unless they also bring strong foundational DevOps engineering skills and a desire to perform more AI driven functions over the long term.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $70.00 to $77.00/hr. w2

Main functions of the role:

• Kubernetes (production experience required)
• Microsoft Azure Cloud
• Infrastructure as Code: Terraform (required), ARM Templates / Azure Bicep
• Strong scripting skills, primarily Python (plus Bash)
• Identity & Access Management (IAM) and RBAC
• Networking fundamentals (cloud and on‑prem concepts)

Core Responsibilities

• Design, build, and maintain cloud-native infrastructure using Infrastructure as Code
• Deploy, manage, and scale containerized applications on Azure Kubernetes Service (AKS)
• Write and maintain Python and Bash scripts for automation, provisioning, and operational tasks
• Build and maintain CI/CD pipelines with a strong emphasis on automation and reliability
• Manage Kubernetes clusters, including:
  • Deployments, scaling, upgrades, and node pools
  • Helm charts and release management
  • Cluster networking and RBAC
• Implement and maintain secure cloud networking, identity, and secrets management
• Support monitoring, logging, and observability for distributed systems
• Troubleshoot complex infrastructure and deployment issues across environments
• Partner closely with application engineers to ensure reliable, scalable delivery

DevOps & Platform Engineering Expertise

Linux, Scripting & Automation

• Advanced Linux experience
• Bash and Python scripting for automation and tooling

Containers & Kubernetes

• Dockerfile creation and image lifecycle management
• Container security best practices
• Kubernetes cluster operations, scaling, and networking
• Helm chart development and maintenance

CI/CD

• Designing and maintaining pipelines (e.g., Jenkins)
• Writing automation logic using Groovy, YAML, shell, and Python
• Artifact management and environment promotion
• Deployment strategies such as blue/green and rolling deployments

Infrastructure as Code

• Terraform for infrastructure provisioning
• Azure ARM Templates / Bicep
• Version control and repeatable deployments

Networking & Security

• Core networking concepts: DNS, TCP/IP, routing, load balancing
• Azure networking: VNets, subnets, NSGs, firewalls
• Identity and secrets management (Key Vault, RBAC, least privilege)

Monitoring & Observability

• Metrics, logs, and traces using tools such as Datadog, Splunk, or OpenTelemetry
• Proactive alerting and performance monitoring

Azure‑Focused Cloud Skills

• Deploying and managing AKS clusters, including autoscaling and upgrades
• Experience deploying workloads from CI/CD pipelines into AKS
• Hands‑on experience with:
  • Virtual Machines, App Services, Functions
  • Storage accounts and backup/DR fundamentals
  • Service Bus, Redis / managed cache, Blob Storage, Key Vault
• Strong understanding of high availability and scaling patterns
• Azure governance basics: resource groups, policies, and management groups
• Azure Monitor, Log Analytics, and Application Insights

• 6+ years of experience in DevOps, Cloud Engineering, or Platform Engineering
• Proven experience supporting production systems at scale
• Strong troubleshooting and root‑cause analysis skills
• Experience working in regulated or enterprise environments preferred

Nice to have:

• Knowledge of Docker and container security; experience with Kubernetes platforms such as OpenShift or Rancher (preferred).
• Experience building DevSecOps functions and secure code execution and isolation (preferred).
• Experience with RAG systems, vector databases, and LLM integrations (preferred).
• Familiarity with languages such as Java, Go, JavaScript, and shell (preferred).
• Cloud platform certifications in AWS or Azure (preferred).

• Bachelor’s degree or equivalent in a technology-related field such as Computer Science or Engineering.
• Azure certification (preferred).
• AWS certification (preferred).