DevOps

Intellectsoft is a digital transformation consultancy that provides cutting edge engineering solutions for global organizations.

Our mission is to help enterprises accelerate adoption of new technologies, untangle complex issues that always emerge during digital evolution, and orchestrate ongoing innovation. Established in 2007, the company is headquartered in New York and operates in multiple offices and engineering centers in the US, the UK, the Nordic region and Eastern Europe.

Our main focus is on new and emerging technologies, such as Cognitive Computing, Decentralized Applications, and Internet-of-Things. Among our clients are globally recognized brand names, such as Universal Pictures, Jaguar Motors, Qualcomm, Ernst & Young, Clinique, Bombardier, London Stock Exchange, Harley-Davidson and many others.

For more information please visit our website www.intellectsoft.net.

Our customer is a leading consulting, software, and technology company servicing industries such as healthcare, private equity, technology, and more. It develops products that create value and deliver company results across critical areas of its business, including portfolio strategy, customer insights, research and development, operational and technology transformation, marketing strategy, and many more. Besides, the company is at the forefront of innovation, actively expanding its AI services to deliver cutting-edge solutions.

Requirements

• 3-7 years of hands-on experience in DevOps.
• Proficiency with cloud platforms such as AWS, Azure, or GCP.
• Strong experience with Kubernetes for deploying and maintaining applications.
• Expertise in release automation, CI/CD, etc.
• Experience with Terraform for IaC, Helm charts, and Kubernetes manifests.
• Proficient in Linux commands and script automation.
• Solid understanding of development tools, source control, and CI/CD systems such as Azure DevOps, Jenkins, GitLab, or TeamCity.
• Experience in agile development environments with short release cycles.
• Experience with deploying LLM models and related toolchains.
• Configuration management experience across different environments.

Nice to have skills

Programming skills in Python or Go

Responsibilities

• Implement and manage cloud infrastructure using AWS, Azure, or GCP.
• Create, update, and maintain container images and registries.
• Deploy and maintain production-grade applications on Kubernetes clusters, utilizing GitOps for deployment automation.
• Develop YAML scripts and Helm charts for Kubernetes deployments.
• Contribute to cloud architecture design and support lead architects in building cloud-agnostic applications.
• Automate cloud infrastructure deployment with Infrastructure-as-Code (IaC) templates.
• Develop and manage CI/CD pipelines to automate containerized deployments to cloud and Kubernetes environments.
• Maintain and manage source code repositories, establish branching strategies, and oversee release management processes.
• Monitor applications on cloud and Kubernetes using tools like ELK Stack, Grafana, or Prometheus.
• Automate routine tasks through scripting.
• Troubleshoot and resolve issues related to build, release, and deployment, providing root cause analysis and thorough documentation.
• Ensure system security and compliance with industry standards.

Benefits

• 35 paid absence days per year for work-life balance of each specialist + 1 additional day for each following year of cooperation with the company
• Up to 15 unused absence days can be add to income after 12 month of cooperation
• Health insurance for you
• Depreciation coverage for personal laptop usage for project needs
• Udemy courses of your choice
• Regular soft-skills trainings
• Excellence Сenters meetups