Senior DevOps Engineer
2 weeks ago
About the Role
We're seeking a highly skilled and motivated Senior DevOps Engineer to join our growing team. You'll take the lead in designing and managing robust infrastructure, CI/CD pipelines, observability platforms, and automation frameworks that power our core services — with a strong emphasis on Azure Cloud, AKS, GitOps, and AI/ML workloads.
This is a high-impact role, ideal for someone who's comfortable owning systems end-to-end and collaborating across development, AI/ML, and product teams to deliver secure, scalable cloud-native solutions.
What You'll Do
- Design, deploy, and manage infrastructure on
Azure
, including
AKS (Azure Kubernetes Service) - Build and maintain CI/CD pipelines using
GitHub Actions
with full lifecycle automation - Use
Terraform
and
Helm
to provision and manage infrastructure as code - Implement
GitOps workflows
using
ArgoCD
,
Flux
, or
Spinnaker - Set up and operate end-to-end
monitoring, logging, and alerting
systems (Prometheus, Grafana, ELK, Azure Monitor) - Support and scale
AI/ML model deployments
, including GPU infrastructure management - Administer and optimize
SQL and NoSQL databases
(e.g., PostgreSQL, MongoDB, Cosmos DB) - Manage secrets and credentials using
Azure Key Vault
or
HashiCorp Vault - Drive security, compliance, and cost optimization across environments
- Apply
ITIL principles
for incident, change, and release management - Lead root cause analysis, postmortems, and continuous improvement initiatives
- Coach and mentor junior engineers and promote DevOps best practices
What We're Looking For
- 5+ years of hands-on experience in
DevOps, SRE, or Cloud Infrastructure Engineering - Strong expertise in
Azure Cloud
and
AKS - Proven experience with
Docker
,
Kubernetes
, and
Helm - Deep understanding of
GitOps workflows
using
ArgoCD
,
Flux
, or
Spinnaker - Advanced skills in
Terraform
and managing Infrastructure as Code - Solid scripting experience with
Python
,
Bash
, or
PowerShell - Hands-on with full observability stack:
Prometheus
,
Grafana
,
ELK
,
Azure Monitor
,
Alertmanager
, etc. - Experience deploying and managing
AI/ML workloads
, especially with GPU integration - Expertise in both
SQL and NoSQL databases
(e.g., PostgreSQL, Cosmos DB, MongoDB) - Working knowledge of
secret management
(Azure Key Vault, Vault) - Familiarity with
policy-as-code
frameworks like
OPA
or
Kyverno - Proven ability to work in
ITIL-aligned environments
with structured processes - Cloud cost monitoring and
FinOps
awareness - Excellent verbal and written communication skills
-
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