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Über
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
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 provisioningAzure 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).
AWS certification (preferred).
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Sprachkenntnisse
- English
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