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À propos
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
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Responsibilities 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 Experience Requirements 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). Education Requirements Bachelor’s degree or equivalent in a technology-related field such as Computer Science or Engineering. Azure certification (preferred). xywuqvp AWS certification (preferred).
Compétences linguistiques
- English
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