AI SWE Agentic SDLC Workflow Engineer for T Cloud Public (mfd)

Purpose

Mission
Industrialize AI-assisted engineering workflows for Meridian by packaging repeatable patterns that support codebase intake dependency extraction build triage documentation generation and technical evidence creation across cloud software work packages.

Role focus
This position emphasizes reusable workflow engineering. The candidate should combine Python APIs orchestration frameworks retrieval patterns and AI development platforms to create governed workflows that can be reused across repositories OpenStack-derived services CI/CD outputs architecture documentation and handover evidence.

WHAT WILL YOU DO

• Build reusable AI-assisted workflows for repository analysis code scanning service decomposition dependency discovery build diagnosis and documentation generation.
• Package prompts tools retrieval layers model routing evaluation checks retries and human approval steps into repeatable engineering accelerators.
• Integrate AI workflows with Git platforms CI/CD systems documentation stores issue trackers test outputs service catalogues and architecture evidence repositories.
• Create workflow outputs that remain auditable including traceable source references confidence indicators reviewer checkpoints and explicit assumptions.
• Experiment with open-source open-weight and Chinese coding models in approved environments to compare usefulness for SDLC automation and handover tasks.
• Support work-package leads by translating ambiguous engineering questions into structured AI-assisted workflows and validated deliverables.

Qualifications :

Key responsibilities

• Have 5 years in platform engineering DevOps SRE or MLOps with strong Kubernetes and Linux expertise
• Have proven experience with AI infrastructure model serving private or on-prem deployments and production operations for LLM-based workloads.
• Have strong hands-on skills in Python plus automation tooling such as Terraform Ansible Helm and GitOps workflows.
• Have good understanding of networking storage access control monitoring and operational hardening in high-security environments.
• Are comfortable working in sovereignty-driven environments where auditability isolation and controlled data handling are mandatory.

Examples of market tools models and SDLC platforms expected

• Agentic workflow frameworks such as LangGraph AutoGen CrewAI OpenAI Agents SDK LlamaIndex Workflows Semantic Kernel or comparable orchestration stacks.
• AI development platforms and editor integrations such as Cursor Windsurf Claude Code Continue Cline Aider or VS Code-compatible internal assistants.
• Model families relevant to SDLC automation such as DeepSeek Coder Qwen/Qwen-Coder CodeGeeX StarCoder Code Llama Mistral or enterprise-hosted frontier models.
• Supporting components including vector databases graph stores code indexing OpenAPI wrappers GitLab/GitHub APIs Jenkins APIs observability and evaluation dashboards.

Candidate profile

• 5 years of engineering experience across software development DevOps automation platform engineering or AI workflow implementation.
• Strong hands-on Python skills API integration experience and practical knowledge of orchestration frameworks RAG patterns tool calling and evaluation loops.
• Experience turning prototypes into reusable engineering workflows with clear interfaces logging error handling configuration and maintainability discipline.
• Good understanding of CI/CD Git workflows containers Kubernetes software architecture documentation and modular cloud software environments.
• Strong written communication skills for creating workflow documentation evidence packs usage guidance and decision support for senior stakeholders.
• Comfortable operating in ambiguous confidentiality-sensitive settings where AI outputs must be reviewed justified and converted into reliable engineering evidence.

Additional Information :

WHY SHOULD YOU CHOOSE US

We believe in balance between work and personal life. An attractive and extensive work-life balance portfolio guarantees lasting motivation for employees and thus a better quality of life promotes physical and mental well-being and contributes to a positive work environment. All this with the aim of providing more freedom in reconciling work career growth private life and individual lifestyle. Therefore we offer to our employees over 25 different benefits to improve their personal and professional life in these areas:

• Financial benefits
• Benefits with focus on learning and development
• Benefits with focus on health and sport
• Benefits with focus on family and work life balance
• Other benefits

For more information about our benefits click to Benefits

Salary

Final salary is negotiable.

We are offering base salary depending on seniority level and previous experience of addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 2100 /brutto.

Additional information

* Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation.

Remote Work :

No

Employment Type :

Full-time