Junior DevOps Engineer

This is a fully remote position, open to applicants in Bosnia and Herzegovina.

📋 Description

• Assist in the design, implementation, and maintenance of scalable, fault-tolerant systems utilizing cluster orchestration and containerization technologies, under the guidance of senior engineers.

• Collaborate with the Software Engineering and QA teams to facilitate deployment processes for microservices-based architectures.

• Contribute to the development and upkeep of CI/CD pipelines that enable container-based application deployment and rollback.

• Ensure system availability by performing health checks and aiding in zero-downtime deployments.

• Engage in a supported on-call rotation, appropriately escalating critical system issues as you gain incident-response experience.

• Work with information security teams to adhere to industry best practices and compliance standards.

• Leverage AI-assisted tools (e.g., LLM-powered coding assistants, chat-ops agents, scripted automations) to enhance routine tasks such as log triage, runbook execution, ticket drafting, and code review.

⛳️ Requirements

• 1–2 years of professional experience in DevOps, SRE, Cloud, or a related field — this includes internships, bootcamps, or significant personal/open-source projects.

• Basic understanding of containerization (Docker) and familiarity with a cluster orchestrator (preferably Kubernetes).

• Experience with at least one CI/CD platform (such as GitHub Actions, GitLab CI, Jenkins, CircleCI, etc.).

• Practical knowledge of at least one major cloud provider (AWS, GCP, or Azure).

• Understanding of infrastructure-as-code principles (Terraform, Pulumi, CloudFormation, or similar tools).

• Basic scripting skills in a language like Python, Bash, or Go.

• Foundational knowledge of networking concepts and protocols (TCP/IP, DNS, HTTP, TLS).

• Strong problem-solving ability and a proactive approach to learning, questioning, and documentation.

• Strongly Preferred — Experience with AI-Augmented Workflows.

• Candidates with significant, demonstrable experience using AI tools to automate workflow tasks will be prioritized over otherwise-equivalent candidates lacking this experience.

• Examples include using LLM-based coding assistants (e.g., Claude Code, Cursor, Copilot) to write, refactor, or review infrastructure and pipeline code.

• Developing AI-driven automations for log analysis, alert triage, runbook execution, or ticket routing.

• Crafting prompts, agents, or scripts that integrate AI with operational tools (Slack, Jira, Confluence, Git, observability stacks).

• A practical understanding of where AI can enhance work and where human oversight remains crucial.

• Bonus Points:

• Familiarity with observability tools — such as the LGTM stack (Loki, Grafana, Tempo/Jaeger, Mimir/Prometheus) and/or Sentry.

• Entry-level certifications related to cloud (AWS Cloud Practitioner, GCP ACE, AZ-900) or Kubernetes (KCNA, CKAD).

• Academic or personal projects involving distributed databases.

• Interest in microservices and service-mesh architectures.

• A public portfolio showcasing your work: GitHub, blog posts, homelab write-ups, or contributions to open-source DevOps projects.

🏝️ Benefits

• Competitive compensation rates

• Fully remote work opportunities

• Generous paid time off

• Team outings and special events

• Mentorship from experienced DevOps and SRE engineers, with a clear path for career advancement