Backend Technical Lead - Remoto

Responsibilities

Define and lead AI-assisted SDLC patterns for repository intake, code exploration, service mapping, build diagnosis, documentation, and engineering evidence generation.

Analyze OpenStack-derived control-plane services, APIs, dependencies, integration flows, and build structures across repositories and teams.

Evaluate and operationalize AI development platforms, coding agents, and approved open-weight or Chinese coding models for secure enterprise use.

Establish human-in-the-loop controls, quality gates, prompt libraries, reusable review patterns, and evidence standards for AI-generated engineering outputs.

Coach software engineers and platform specialists on safe and effective use of AI tools while coordinating with architecture, security, DevOps, and testing teams.

Produce senior stakeholder-ready artefacts covering transition risks, service decomposition, codebase maturity, and recommended engineering actions.

Requirements

At least 8 years of experience in software engineering, platform engineering, or technical architecture, with ownership of complex engineering workstreams.

Strong hands-on Python coding skills plus at least one backend or systems language such as Go, Java, C, C++, or Rust.

Deep practical experience using AI coding agents and LLM-enabled SDLC workflows for large codebases, technical documentation, and engineering acceleration.

Understanding of OpenStack-derived cloud software architectures, modular service decomposition, CI/CD, Kubernetes-based delivery, and platform operations.

Ability to lead senior engineers in ambiguous environments, challenge AI outputs, and turn incomplete evidence into structured engineering decisions.

Experience working in high-accountability, confidentiality-sensitive enterprise programs where auditability, traceability, and sovereignty constraints are mandatory.

Benefits

• Hybrid remote/on-site work model with flexible working hours.
• 26 or more working days of vacation per year and 100% salary coverage during medical leave.
• Flexible compensation plan including health insurance, meal vouchers, childcare, and transport, plus telemedicine, life and accident insurance, and a social fund.
• Access to Coursera, customized training, weekly English and German language classes, international mentoring sessions, and experience days.
• Free access to specialist medical, legal, and wellness services, along with social, sports, community, and health initiatives.