Описание

The Developer Experience (DevEx) team builds the tools, platforms and automation that make ERGO NEXT engineers more productive. This role involves building a development lifecycle where AI agents work alongside every engineer.

Responsibilities

Build the tools, platforms and automation that make our engineers more productive, treating our platform as a product
Take a key part in building our Agentic SDLC, applying AI agents to every step from design and coding to testing and deployment
Work across the full spectrum of cloud and applicative infrastructure, including CI/CD, Kubernetes, Terraform and AWS
Work directly with developers to understand the challenges our platform needs to solve
Initiate, plan and lead projects that improve developers’ day-to-day work and help them bring value to the business
Track adoption and impact of what you build, and iterate based on developer feedback

Requirements

5+ years of hands-on software development in a cloud-oriented organization, building and owning production services or tools end to end (design, code, tests, review, maintenance)
B.Sc. in Computer Science or equivalent
Proven record of initiating, designing, implementing and leading meaningful projects
Strong proficiency in at least one general-purpose language: Python, TypeScript, Java, Kotlin or Go
Hands-on experience with at least two of the following: CI/CD pipelines (Jenkins preferred), Infrastructure-as-Code (Terraform), Kubernetes and containers, AWS or GCP
Hands-on use of AI development tools beyond autocomplete: working with coding agents (e.g. Claude Code, Cursor), connecting them to MCP servers, and building custom instructions and workflows into daily development
Product mindset and a people person: cares about the developers using their work, is accessible and easy to work with, and thinks in terms of adoption and impact
A proficient problem solver who quickly adapts to new technologies

Nice to have

Experience building AI-driven development systems, including automated code review, an AI software factory, ephemeral AI development environments, agentic workflow orchestration, and AI-run engineering processes such as automated upgrades
Experience improving development processes and developer experience, including Internal Developer Portals and self-serve tools (e.g. Backstage)
Experience building on LLM APIs (agents, MCP, tool and prompt design)
Experience building internal tools, libraries, CLIs or automation used by other developers
Familiarity with observability tools: monitoring, logging, tracing
Knowledge of build tools (Maven, Gradle, npm, nx), software testing methodologies and tools, and Bash scripting

We offer

Hybrid work model

Hiring process

Apply directly to open jobs via the careers page on the company website
Interviews are generally conducted via Zoom video conference unless other accommodations are requested