DevOps Engineer

Навыки

• AWS
• Коммуникация
• Datadog / New Relic
• Docker
• E-commerce
• Grafana
• Java

О компании и продукте

• Our client is an American company based in San Francisco, California, providing. This is a cloud communications platform that provides a set of building blocks for developers to incorporate voice, messaging, video, and other communication capabilities into their applications and services. Client Application Programming Interfaces (APIs) enable developers to integrate real-time communication features into websites, mobile apps, and other software applications. This enables businesses to enhance customer engagement, automate communications, and create customized solutions for their specific needs. The company is widely used by organizations to build and scale communication solutions, making it a fundamental tool for modern communication and customer interaction.
• Client's financial condition is robust and stable, characterized by strong revenue growth, healthy profit margins, and a solid balance sheet.
• For this project, it will be necessary to focus on migrating containerized services from VMs to K8S clusters on AWS.
• To ensure a minimum overlap with the Pacific Standard Time (PST) zone, availability is required until 10:00 AM PST (7 PM CET).

Задачи

• Migration of dozens of containerized services from VMs to K8S clusters
• Work with various AWS services
• Setting up connectivity
• Set up monitoring services like Datadog and Grafana
• Closely work with the product team to test out the flow
• DevOps Engineer — AKVELON
• Offshore

Требования

• Proven DevOps experience working with K8S and containerized services
• Strong experience in Docker
• Hands-on experience with AWS (EKS, EC2, Cloudwatch, etc.) or similar cloud technologies
• Experience working on the migrations of containerized services from VMs to K8S
• Experience with Unix/Linux environment
• Excellent communication skills
• Focus on best engineering practices for quality, clean code, testing & observability

Будет плюсом

• Experience with tooling like DataDog, Grafana
• Experience in Java and/or Python development

Условия

• Paid vacation, sick leave
• Official state holidays
• Professional growth while attending challenging projects and the possibility to switch your role, master new technologies and skills with company support
• Flexible working schedule: 8 hours per day, 40 hours per week
• Personal Career Development Plan (CDP)
• Employee support program (Discount, Care, Health, Legal compensation)
• Paid external training, conferences, and professional certification that meet the company’s business goals
• Internal workshops & seminars
• Automated Build Artifact Comparison: 30× Less Engineer Time With Standardized Reporting
• August 19, 2026
• AI-Accelerated Feature Flag Cleanup: Up to 75% Less Manual Effort per Flag
• August 5, 2026
• AI Transformation for Financial Services: RAISE, AI Readiness Assessment, and Enterprise Delivery
• July 8, 2026
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