01
TRCD-26-06046
Azure DevOps & MLOps Engineer (Kubernetes/GitOps, AWS/Azure)
Contract role for an Azure DevOps & MLOps Engineer (4–8 years) to design, automate, and operate cloud-native platforms for AI/ML and agentic workloads. You will run AKS/Kubernetes (with strong preference for EKS experience), build CI/CD with GitHub Actions/TeamCity and GitOps with ArgoCD, implement IaC (Terraform), and deliver observability using OpenTelemetry and tools like CloudWatch/Grafana/Loki/Splunk. The role also supports AI platforms (e.g., Bedrock, SageMaker, LLM gateways/model APIs) with a focus on secure, compliant architectures; at least one Kubernetes certification (CKA/CKAD/CKS) is required.
Position summary
- Location
- India
- Workplace
- Hybrid
- Employment
- Contract
- Experience
- Minimum 4 years and Maximum 8 years
Role overview
Why This Role Matters.
Contract role for an Azure DevOps & MLOps Engineer (4–8 years) to design, automate, and operate cloud-native platforms for AI/ML and agentic workloads. You will run AKS/Kubernetes (with strong preference for EKS experience), build CI/CD with GitHub Actions/TeamCity and GitOps with ArgoCD, implement IaC (Terraform), and deliver observability using OpenTelemetry and tools like CloudWatch/Grafana/Loki/Splunk. The role also supports AI platforms (e.g., Bedrock, SageMaker, LLM gateways/model APIs) with a focus on secure, compliant architectures; at least one Kubernetes certification (CKA/CKAD/CKS) is required.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Manage and operate Azure AKS/Kubernetes platforms.
03
Build and maintain CI/CD pipelines using GitHub Actions, TeamCity, and ArgoCD.
04
Deploy and support AI/ML/Agentic applications on AWS.
05
Implement GitOps and infrastructure automation practices.
06
Manage services like IAM, ACR, Blog storage, and networking.
07
Build observability solutions using OpenTelemetry, CloudWatch, Grafana, Loki, and Splunk.
08
Implement secure, scalable, and compliant cloud architectures.
09
Support AI platforms involving LLM Gateways, Model APIs, Bedrock, SageMaker, and distributed workloads.
10
Collaborate with development, security, platform, and data teams.
11
Troubleshoot infrastructure, deployment, performance, and security issues.
12
Mentor junior engineers and contribute to platform best practices.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Azure
Required
02
AKS
Required
03
Kubernetes
Required
04
AWS
Required
05
EKS
Required
06
ArgoCD
Required
07
GitOps
Required
08
GitHub Actions
Required
09
TeamCity
Required
10
Azure DevOps
Required
11
CI/CD
Required
12
Terraform
Required
13
IaC
Required
14
IAM
Required
15
ACR
Required
16
Blob Storage
Required
17
Networking
Required
18
OpenTelemetry
Required
19
CloudWatch
Required
20
Grafana
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
4+ years in DevOps/Cloud/Platform Engineering
Kubernetes administration/operations (EKS preferred)
AKS (Azure Kubernetes Service) platform operations
ArgoCD
GitOps workflows
CI/CD pipelines (GitHub Actions and/or TeamCity and/or Azure DevOps)
Azure services expertise
IAM (cloud identity and access management)
Terraform or Infrastructure as Code (IaC)
Cloud security and compliance fundamentals
AWS experience for deploying/supporting AI/ML/agentic applications
Observability/monitoring with OpenTelemetry
At least one certification: CKA or CKAD or CKS
Preferred
Nice to Have
MLOps/AIOps tooling: Azure Document Intelligence or MLflow or Kubeflow or Airflow or Bedrock or AgentCore (any one)
Observability tools: CloudWatch, Grafana, Loki, Splunk
Python scripting
Bash scripting
LLM Gateway experience
Model serving / model APIs
Celery
Knowledge of regulated compliance frameworks: GxP, HIPAA, EU AI Act
Terraform Associate certification
Azure certification
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for Azure DevOps & MLOps Engineer (Kubernetes/GitOps, AWS/Azure)
One page, about two minutes. We only ask for what we actually need to have a first conversation.