Intern/Junior DevOps

We're looking for a Junior DevOps Engineer to join our team and work on infrastructure for products used in international markets.

This is a growth position: you'll be embedded in real production environments from day one and learn the full cloud-native stack under direct mentorship.

Requirements

0.5 – 2 years of hands-on experience in DevOps, SysAdmin, or Infrastructure roles (personal projects, internships, or bootcamp labs with cloud infrastructure count)

Confident daily work in a Linux terminal: file system navigation, permissions, process management

systemd basics — start/stop/status services, reading journalctl logs

SSH: key-based authentication, tunneling, config files

Networking fundamentals: TCP/IP, ports, HTTP/HTTPS, DNS; ability to troubleshoot whether the issue is DNS, firewall, security group, or the application itself

Understanding of one major cloud platform (AWS, GCP, or Azure): compute, storage, networking, IAM, managed databases, logging

Ability to navigate the cloud console, read documentation, and follow existing infrastructure patterns

Docker — confident daily use; understanding of images, layers, volumes, and networks

Terraform — able to read, understand, and make small changes to existing configs

Git — daily working proficiency: branching, merging, rebasing, pull requests, resolving conflicts

Bash — simple scripts: loops, conditionals, variables, piping, grep/awk/sed for log parsing

Understanding of VPCs, subnets, security groups, and firewalls at a conceptual level

Attention to detail — routine operations require precision; a wrong terraform apply can be costly

Willingness to learn and comfort with asking questions — no silent struggling for hours

English — B1 or higher

We expect engineers to actively use AI in their daily work. Experience with tools such as Claude, Cursor, GitHub Copilot, ChatGPT, Codex, or similar is required.

You should be comfortable using AI for:

writing and refactoring Bash/Python scripts and Terraform configs;

debugging pipeline and build failures;

log analysis and troubleshooting;

writing runbooks and documentation;

speeding up routine operational work.

Nice to have

GitHub Actions — reading and modifying existing workflows, fixing common pipeline failures, adding simple stages (linting, notifications)

GitLab CI, BitBucket Pipelines, or any other CI tool

Any Kubernetes exposure — even local (minikube, kind) or tutorials: pods, deployments, services, kubectl basics

Any exposure to ArgoCD or GitOps concepts

Grafana — navigating dashboards, reading graphs, basic metric queries

Logs — searching and filtering in Loki, CloudWatch, or any log aggregator

Prometheus basics (metrics, targets, PromQL), Alertmanager

Python — basic level: reading and modifying scripts, simple API calls, JSON parsing

CloudFormation or Ansible basics, understanding of state management and remote backends

DNS record types (A, CNAME, MX, TXT), routine changes in Route53 or CloudFlare

Load balancers, reverse proxies (NGINX), TLS/SSL certificates

VPN / site-to-site connectivity basics

Basic SQL and backup/restore concepts for PostgreSQL or MySQL

Hands-on experience with a second cloud provider

Certifications: AWS Cloud Practitioner, AWS SAA, CKA/CKAD, LPIC-1, RHCSA, HashiCorp Terraform Associate

What you'll do

Maintain and update CI/CD pipelines — fix broken builds, add new stages, update dependencies

Monitor dashboards and respond to alerts — first-line triage, escalate to senior engineers when needed

Spin up and tear down dev, staging, and QA environments using existing Terraform configs

Build, tag, push, and troubleshoot Docker images in registries

Investigate application errors via Grafana/Loki, CloudWatch, or Datadog and write up findings

Rotate credentials, onboard/offboard users, manage IAM at the task level

Handle routine DNS record changes, SSL renewals, and domain configurations

Verify backups, perform minor database maintenance, monitor replication health

Keep runbooks, architecture diagrams, and onboarding guides up to date

Write small automations: cron jobs, cleanup scripts, notification integrations

Use AI-assisted tools as part of your daily workflow

What we offer

Competitive compensation

Direct mentorship from senior engineers and a clear growth path

Real production environments and a full cloud-native stack from day one

Flexible working hours

Modern development workflow

Opportunity to work on products used in international markets

Small team with quick decision-making and minimal bureaucracy