Senior DevOps Engineer
Listed on 2026-06-28
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IT/Tech
Cloud Computing: Infrastructure & Operations, SRE/Site Reliability, Systems Engineer, Azure
Get to know us better
Codi Lime is a software and network engineering industry expert and the first-choice service partner for top global networking hardware providers, software providers and telecoms. We create proofs-of-concept, help our clients build new products, nurture existing ones and provide services in production environments. Our clients include both tech startups and big players in various industries and geographic locations (US, Japan, Israel, Europe).
While no longer a startup - we have 250+ people on board and have been operating since 2011 we’ve kept our people-oriented culture. Our values are simple:
- Act
to deliver. - Disrupt
to grow. - Team up
to win.
You will work on a cloud-native enterprise platform supporting AI-driven and data-intensive business applications for a global consulting organization.
The platform consists of:
- Modern cloud infrastructure deployed across multiple environments
- Containerized applications running on Kubernetes
- Secure networking and private connectivity architecture
- AI and data services integrated into business workflows
- CI/CD and infrastructure automation pipelines
Your primary focus will be Dev Ops and cloud platform engineering, including infrastructure automation, Kubernetes operations, cloud networking, and platform reliability. Additionally, you will support engineering teams with delivery processes, security, and operational excellence.
Technology stack:
- Infrastructure & IaC:
Terraform, Terraform Cloud - Cloud:
Azure (AKS, ACR, App Services, Key Vault, Front Door, Application Gateway, Storage Accounts, OpenAI, VNets, Private Endpoints, DNS, NSGs, Load Balancing, Subnets) - Containers & Platform:
Kubernetes (AKS), Docker - CI/CD:
Git Hub Actions, Git Hub Private Runners - Monitoring & Observability:
Datadog, Azure Application Insights - Databases:
Azure SQL Serverless, PostgreSQL Flexible Server, Cosmos DB, Snowflake (integration) - Security & Identity:
Entra , Managed Identities, Okta - Automation:
Bash, Power Shell, Python
What else you should know:
- Team:
Cloud Architects, Dev Ops Engineers, Software Engineers, Security Engineers, Product Owners, Data Engineers - Distributed team across Europe and India
- Agile, collaborative, proactive and impact-driven environment
- Modern cloud-native engineering practices
We work on multiple interesting projects at a time, so it may happen that we’ll invite you to an interview for another project if we see that your competencies and profile are well suited for it.
Your roleThis is a hands-on cloud platform engineering role combining infrastructure automation, Kubernetes operations, cloud networking, and Dev Ops practices.
You will:
- Design, provision, and maintain cloud infrastructure using Terraform and Terraform Cloud.
- Manage Azure networking, including VNets, subnets, Private Endpoints, DNS zones, and NSGs.
- Manage Azure Kubernetes Service (AKS) clusters.
- Implement and optimize CI/CD pipelines using Git Hub Actions.
- Manage container build, deployment, and release processes.
- Implement monitoring and observability solutions.
- Support incident analysis and root‑cause investigations.
- Collaborate with architects, developers, and security teams.
- Promote an automation-first and Dev Ops culture across engineering teams.
- Participate in technical discovery, proof‑of‑concepts, and architecture discussions.
As a Senior Dev Ops Engineer, you must meet the following criteria:
- Minimum 7+ years of commercial experience
- 5+ years of hands‑on experience with Azure cloud services including:
- AKS, ACR, App Services, Key Vault, Front Door, Application Gateway, Storage Accounts
- VNets, Private Endpoints, DNS, NSGs, Load Balancing, Subnets
- Strong experience with Terraform and Infrastructure as Code (IaC)
- Hands‑on experience operating Kubernetes clusters in production environments
- Experience building and maintaining CI/CD pipelines (Git Hub Actions, Azure Dev Ops, or equivalent).
- Experience with Docker and container lifecycle management.
- Experience with monitoring and observability platforms (Datadog, Azure Application Insights, or similar).
- Proficiency in Linux administration and scripting (Bash, Power Shell, and/or Python).
- Experience with cloud security,…
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