Director of Global Security Operations
MongoDB
For our client, we are looking for a Middle/Senior DevSecOps Engineer (Azure) to join an AI project and strengthen cloud operations, scalability, and automation.
This is a hands-on position for an engineer with solid Azure expertise, strong DevOps practices, and a passion for building reliable, secure, and scalable systems. You will focus on infrastructure automation, monitoring, cloud migration, and DR planning, while collaborating with cross-functional teams in a fast-paced environment.
2+ years of experience in Cloud Infrastructure, DevOps, or SRE roles.
Hands-on experience with Azure Cloud (App Services, AKS, Container Apps).
Familiarity with AWS or GCP is a plus.
Strong knowledge of cloud-native technologies, containerized microservices, and architecture patterns.
Experience migrating from VMs to managed services.
Knowledge of Disaster Recovery (DR), RTO/RPO.
Deep understanding of Azure Policies, governance, and networking (TCP/IP, DNS, VPNs, security).
Experience with SQL Server, PostgreSQL, ElasticSearch, Redis and performance tuning.
Strong skills in Terraform and Ansible (preferred).
Scripting with PowerShell, Bash, or Python.
CI/CD: GitHub Actions, Azure Pipelines.
Monitoring: Prometheus, Grafana, Datadog with custom metrics and advanced alerting.
Solid understanding of distributed systems, scalability, and cost optimization.
English: Upper-Intermediate+.
Monitoring & Observability: Enhance Datadog monitoring, create custom metrics & real-time dashboards.
Infrastructure Optimization: Migrate VM-hosted workloads to Azure managed services; improve reliability, cost, and performance.
Automation: Build and maintain IaC with Terraform/Ansible; reduce manual operations.
Security & Compliance: Enforce Azure policies, governance, and conduct audits.
Backup & DR: Define RTO/RPO, design strategies, and maintain runbooks.
CI/CD & Release Management: Build/optimize pipelines (GitHub Actions, Azure Pipelines).
Cost Management: Identify and implement cloud cost-saving opportunities.
Incident Management: Handle incidents, perform root cause analysis, and document prevention measures.
Collaboration: Work closely with teams, document infrastructure, and explain complex topics to non-technical stakeholders.
Competitive salary and compensation package.
Exciting AI startup projects with modern stack.
Corporate English courses and international client interaction.
Professional study compensation, certifications, career growth with regular reviews.
VIP medical insurance or sports coverage.
Flexible working hours (start 8:0011:30).
Unlimited remote work worldwide or offices in Kyiv & Lviv (Starlink & generator).
Coworking compensation (outside Kyiv & Lviv).
Corporate lunch, team buildings, soft skills clubs.
Informal, friendly atmosphere without micromanagement.
Originally posted on Himalayas
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For our client, we are looking for a Middle/Senior DevSecOps Engineer (Azure) to join an AI project and strengthen cloud operations, scalability, and automation.
This is a hands-on position for an engineer with solid Azure expertise, strong DevOps practices, and a passion for building reliable, secure, and scalable systems. You will focus on infrastructure automation, monitoring, cloud migration, and DR planning, while collaborating with cross-functional teams in a fast-paced environment.
2+ years of experience in Cloud Infrastructure, DevOps, or SRE roles.
Hands-on experience with Azure Cloud (App Services, AKS, Container Apps).
Familiarity with AWS or GCP is a plus.
Strong knowledge of cloud-native technologies, containerized microservices, and architecture patterns.
Experience migrating from VMs to managed services.
Knowledge of Disaster Recovery (DR), RTO/RPO.
Deep understanding of Azure Policies, governance, and networking (TCP/IP, DNS, VPNs, security).
Experience with SQL Server, PostgreSQL, ElasticSearch, Redis and performance tuning.
Strong skills in Terraform and Ansible (preferred).
Scripting with PowerShell, Bash, or Python.
CI/CD: GitHub Actions, Azure Pipelines.
Monitoring: Prometheus, Grafana, Datadog with custom metrics and advanced alerting.
Solid understanding of distributed systems, scalability, and cost optimization.
English: Upper-Intermediate+.
Monitoring & Observability: Enhance Datadog monitoring, create custom metrics & real-time dashboards.
Infrastructure Optimization: Migrate VM-hosted workloads to Azure managed services; improve reliability, cost, and performance.
Automation: Build and maintain IaC with Terraform/Ansible; reduce manual operations.
Security & Compliance: Enforce Azure policies, governance, and conduct audits.
Backup & DR: Define RTO/RPO, design strategies, and maintain runbooks.
CI/CD & Release Management: Build/optimize pipelines (GitHub Actions, Azure Pipelines).
Cost Management: Identify and implement cloud cost-saving opportunities.
Incident Management: Handle incidents, perform root cause analysis, and document prevention measures.
Collaboration: Work closely with teams, document infrastructure, and explain complex topics to non-technical stakeholders.
Competitive salary and compensation package.
Exciting AI startup projects with modern stack.
Corporate English courses and international client interaction.
Professional study compensation, certifications, career growth with regular reviews.
VIP medical insurance or sports coverage.
Flexible working hours (start 8:0011:30).
Unlimited remote work worldwide or offices in Kyiv & Lviv (Starlink & generator).
Coworking compensation (outside Kyiv & Lviv).
Corporate lunch, team buildings, soft skills clubs.
Informal, friendly atmosphere without micromanagement.
Originally posted on Himalayas