DevOps Engineer

- Participate in infrastructure and environment architecture planning

- Design, implement, and improve CI/CD pipelines and automation processes

- Build and maintain scalable Kubernetes-based environments

- Optimize infrastructure performance, reliability, and operational efficiency

- Troubleshoot production infrastructure, networking, and application delivery issues

- Support and maintain existing environments

- Implement infrastructure security best practices, secrets management, and access control

- Collaborate closely with development teams on infrastructure-related topics

- Participate in incident response, root-cause analysis, and post-incident improvements

- Drive continuous improvement initiatives and recommend new technologies and practices

- 3+ years of commercial experience as a DevOps Engineer or Infrastructure Engineer

- Strong hands-on experience with Docker and Kubernetes

- Solid experience with CI/CD pipelines in Azure DevOps

- Good knowledge of YAML pipelines, reusable templates, approval gates, and Azure Repos governance

- Experience managing Linux and Windows build agents and Azure Artifacts feeds

- Practical experience with Terraform and/or Ansible

- Strong scripting skills with Bash and Python or PowerShell

- Experience with monitoring and observability tools such as Grafana, OpenSearch, or Elasticsearch

- Strong understanding of infrastructure and application security principles

- Experience with HashiCorp Vault or similar secrets management solutions

- Experience managing TLS certificates and secure infrastructure configurations

- Understanding of least privilege, network segmentation, and isolated environments

- Experience troubleshooting production systems and participating in incident response

- Upper-Intermediate English level

WILL BE A PLUS:

- AWS experience with EC2, S3, IAM, RDS, and VPC

- Experience with AI infrastructure or LLM-powered services

- Knowledge of Azure AI Foundry, OpenAI APIs, or Anthropic APIs

- Experience monitoring and supporting AI workloads in production

- Experience integrating AI-related automation into CI/CD pipelines

- Practical use of AI coding assistants such as GitHub Copilot or Claude Code

- Knowledge of AI-related data protection and audit logging practices

PERSONAL PROFILE

- Proactive and ownership-driven mindset

- Strong communication and collaboration skills

- Strong analytical and problem-solving skills

- Ability to work effectively in a collaborative team environment

- Attention to detail and commitment to infrastructure reliability

- Eagerness to learn and explore new technologies

We are inviting a DevOps Engineer to work in a top-notch DevOps team, which includes more than 30 talented specialists and continues to grow.

This is an unique opportunity to become part of a high-performing team, working with industry best practices and modern methodologies. You’ll have the chance to take ownership, contribute to key projects, and excel in a dynamic and collaborative environment.

Originally posted on Himalayas