DevOps Engineer (Java / AWS)

How we think about hiring

At Dinix, we value adaptability, problem-solving ability and engineering mindset more than ticking every technology box. If you have a solid foundation, learn quickly and care about the craft, missing pieces of the stack are something we will help you pick up.

AI-assisted engineering tooling is part of how we work day to day - Claude Code, ChatGPT, OpenAI Codex, GitHub Copilot and similar tools are integrated into our coding, review, operations and documentation workflows. We expect engineers to be open to using these tools critically and effectively, and we actively invest in the licenses, models and working patterns that make this productive.

What you will work on

• The CI/CD landscape end-to-end - build, test, release and rollback flows - focused on automation, reliability and delivery speed.
• The AWS cloud environment: account structure, IAM, networking, certificate lifecycle, cost optimisation and security baseline. You will work closely with our external AWS partner and gradually take more ownership of cloud standards and day-to-day decisions.
• Infrastructure-as-Code: extending the Terraform footprint, encouraging reusable modules and treating environments as reproducible artefacts.
• Observability across services: logs, metrics, traces, dashboards and actionable alerting.
• Developer experience: tooling, templates and self-service patterns that help product engineers ship safely and quickly.
• Driving the adoption and effective use of AI-assisted engineering workflows across the team.

The technology stack

• Java and Spring Boot microservices (the platform operates a sizeable fleet of services on AWS).
• AWS as the primary cloud platform.
• Source control and CI/CD: GitHub and GitHub Actions, alongside Jenkins for delivery pipelines.
• Infrastructure-as-Code with Terraform.
• Containerisation and orchestration with Docker and Kubernetes.
• Observability and monitoring tooling for logs, metrics, traces and actionable alerting.
• Release automation, developer tooling and internal automation across the engineering workflow.
• PostgreSQL for transactional data.
• Atlassian toolset (Jira, Confluence, Bitbucket) for collaboration and ticketing.
• AI-assisted engineering workflows as a first-class part of how we build, review and operate the platform.

What we expect

• Bachelor's or Master's degree in Computer Science or IT, or equivalent through professional experience.
• 4-5+ years of hands-on experience in a professional engineering environment.
• Working experience with Java / Spring Boot microservices in a cloud architecture.
• Practical experience with AWS, or a comparable cloud platform with willingness to deepen on AWS.
• Familiarity with at least one infrastructure-as-code tool (Terraform preferred) and container technologies (Docker, Kubernetes).
• A fast-learning mindset - able to pick up unfamiliar tools and parts of the stack independently, while asking good questions when needed.
• Comfortable troubleshooting issues across services, environments and infrastructure.
• Clear written and spoken English - you will collaborate daily with an international client team.
• Ability to document decisions, runbooks and operational procedures clearly and consistently.

Nice to have

• Experience designing reusable CI/CD pipelines across GitHub Actions and Jenkins, including shared workflows and release automation patterns.
• Experience with observability and monitoring tooling such as Prometheus, Grafana, CloudWatch, Datadog, OpenTelemetry or similar, with a focus on practical dashboards, useful alerts and clear visibility into system health.
• Building developer-enablement tooling: internal CLIs, golden-path templates, paved-road services and self-service infrastructure.
• Cloud-native delivery patterns - progressive delivery, blue/green and canary deployments, feature flags.
• PostgreSQL and relational database operations in a production environment.
• Linux systems administration, networking and security fundamentals (DNS, VPN, SSH, certificates, symmetric vs. asymmetric encryption).
• Microsoft Entra ID / Azure AD and Microsoft 365 administration.
• Scripting and automation with Bash, Python or similar.
• Secure delivery practices: secrets management, dependency and container scanning, least-privilege access.
• Practical day-to-day use of AI-assisted engineering tools in coding, review or operations.

Who succeeds here

• Fast learners - people who enjoy picking up new technologies and patterns, and who treat unfamiliar problems as something to figure out.
• Adaptable engineers who can move comfortably between codebases, infrastructure and tooling work.
• Team players who communicate clearly, listen well and help colleagues unblock themselves.
• Pragmatic engineers who value clean architecture, automation and long-term maintainability over short-term shortcuts - without turning that into perfectionism.
• Owners - people who take responsibility for the parts of the system they touch and follow problems through to a real fix.
• Engineers who use AI-assisted engineering tools in their daily work and have an honest view of where they help and where they don't.

What we offer

• Full-time employment with Dinix Software EOOD (Plovdiv), under a Bulgarian Labour Code contract with a clear path to long-term collaboration.
• Real ownership of the DevOps function, with a direct reporting line to the Managing Director.
• Hybrid working model as described above.
• Long-term, stable engagement with an established international client and a clear product roadmap.
• A modern technology stack and dedicated budget for training, conferences and tooling.
• Competitive compensation based on experience, technical depth and scope of ownership.