Job VC
DevOps Engineer
Technologies
Description
About the Role
We are looking for a
Senior DevOps / Platform Engineer
to help us design, build, and scale reliable cloud infrastructure. You will play a key role in improving system resilience, automation, and engineering practices across teams.
This role is ideal for someone who combines deep technical expertise with a proactive mindset and enjoys enabling teams through strong DevOps culture and platform thinking.
Key Responsibilities
Design, build, and maintain
scalable, secure cloud infrastructure
Develop and manage
Infrastructure as Code (IaC)
solutions
Build and optimize
CI/CD pipelines
to support fast and reliable delivery
Ensure high system
availability, performance, and resilience
Implement and improve
monitoring, logging, and alerting systems
Support and guide development teams on
DevOps best practices
Drive
automation
across environments and processes
Contribute to
multi-cloud and platform strategies
Troubleshoot and resolve complex production issues
Requirements
Experience
5+ years of experience in
DevOps / Platform Engineering / SRE
Proven experience designing and supporting
production-grade systems
English C1 (Advanced)
Operating Systems & Fundamentals
Strong experience with
Linux/Unix systems administration
Solid understanding of
networking, system internals, and server architecture
Version Control & Collaboration
Proficiency with
Git
(branching strategies, workflows, collaboration)
Cloud & Virtualization
Hands-on experience with
Azure
and cloud-native services
Experience with
multi-cloud environments (Azure, GCP)
is a strong plus
Infrastructure & Automation
Strong experience with
Infrastructure as Code
tools:
Terraform, Ansible, CloudFormation
Experience building and maintaining
CI/CD pipelines
:
Jenkins, GitLab CI, GitHub Actions, ArgoCD
Containers & Orchestration
Strong hands-on experience with
Docker
Experience with
Kubernetes
(deployments, cluster management)
Monitoring & Logging
Experience with observability tools:
Prometheus, Grafana, ELK/EFK stack, CloudWatch, etc.
Databases & Distributed Systems
Basic knowledge of databases and streaming systems:
PostgreSQL, MongoDB, Kafka, etc.
We are looking for a
Senior DevOps / Platform Engineer
to help us design, build, and scale reliable cloud infrastructure. You will play a key role in improving system resilience, automation, and engineering practices across teams.
This role is ideal for someone who combines deep technical expertise with a proactive mindset and enjoys enabling teams through strong DevOps culture and platform thinking.
Key Responsibilities
Design, build, and maintain
scalable, secure cloud infrastructure
Develop and manage
Infrastructure as Code (IaC)
solutions
Build and optimize
CI/CD pipelines
to support fast and reliable delivery
Ensure high system
availability, performance, and resilience
Implement and improve
monitoring, logging, and alerting systems
Support and guide development teams on
DevOps best practices
Drive
automation
across environments and processes
Contribute to
multi-cloud and platform strategies
Troubleshoot and resolve complex production issues
Requirements
Experience
5+ years of experience in
DevOps / Platform Engineering / SRE
Proven experience designing and supporting
production-grade systems
English C1 (Advanced)
Operating Systems & Fundamentals
Strong experience with
Linux/Unix systems administration
Solid understanding of
networking, system internals, and server architecture
Version Control & Collaboration
Proficiency with
Git
(branching strategies, workflows, collaboration)
Cloud & Virtualization
Hands-on experience with
Azure
and cloud-native services
Experience with
multi-cloud environments (Azure, GCP)
is a strong plus
Infrastructure & Automation
Strong experience with
Infrastructure as Code
tools:
Terraform, Ansible, CloudFormation
Experience building and maintaining
CI/CD pipelines
:
Jenkins, GitLab CI, GitHub Actions, ArgoCD
Containers & Orchestration
Strong hands-on experience with
Docker
Experience with
Kubernetes
(deployments, cluster management)
Monitoring & Logging
Experience with observability tools:
Prometheus, Grafana, ELK/EFK stack, CloudWatch, etc.
Databases & Distributed Systems
Basic knowledge of databases and streaming systems:
PostgreSQL, MongoDB, Kafka, etc.