Hello!

We're looking for a Senior DevOps Engineer for Multilogin. Our DevOps practice is currently in transformation — we're modernizing tools, processes, and approaches across the whole team, and you'll play a key role in shaping how it develops.

What you'll be doing:

• Developing automated pipelines for building, testing, and deploying applications; creating, maintaining, and documenting CI/CD environments

• Ensuring platform reliability and availability, fault tolerance, and fast recovery from failures

• Establishing standards and guidelines for infrastructure and software configuration to support smooth CI/CD processes

• Proposing and implementing system improvements: installation, upgrades/patching, troubleshooting, configuration management, and security

• Participating in the development and scaling of our delivery platform's infrastructure

• Ensuring transparency and optimization of cloud costs, embedding cost-awareness into daily work alongside engineers and finance

• Designing and operating serverless architectures (AWS Lambda, Step Functions, API Gateway, or similar)

• Participating in the DevOps practice transformation and discussions on trade-offs between performance, scalability, cost, and time-to-market

What we offer:

• Transformation of a mature product with a strong reputation, adapted to the realities of an AI-driven world

• Strong product and engineering expertise: the team behind the product has extensive experience in browser and mobile profile automation

• Access to the best AI tools to boost work efficiency

• Compensation for professional development expenses (relevant courses, training, books, conferences) within the company's learning policy

What we expect:

• Production experience with a major cloud provider (AWS preferred) using Kubernetes, Helm, and Docker

• Solid command of Terraform: infrastructure as versioned code

• Experience building and maintaining CI/CD pipelines (GitHub Actions or similar) and understanding of GitOps delivery (Flux CD is a big plus)

• Experience operating monitoring and alerting stacks (Prometheus/Grafana or similar) and an understanding of what good reliability looks like

• Hands-on experience with distributed tracing and APM (OpenTelemetry, Jaeger, or similar) and the ability to implement them for deeper observability

• Systems thinking: understanding of networking fundamentals, distributed computing, and asynchronous messaging; automation via Bash and Python instead of repeating routine tasks

• Ownership: taking responsibility beyond your own task and digging to find the root cause of stack issues

• AI-forward approach: you use AI tools hands-on and have a point of view on where they're strong and where they still fall short — you see them as an amplifier for a senior engineer, not a toy

• Fluent English, B2 or above