BorderlessMind

Backend Engineer

• Design and build AI-powered enterprise solutions
• Develop agentic frameworks, AI agents, and intelligent workflows
• Architect and scale systems using Java, platform engineering, and DevOps practices
• Integrate AI capabilities (LLMs, RAG, APIs) into existing platforms
• Collaborate with stakeholders to drive practical AI adoption
• Contribute to shaping AI direction in an evolving and ambiguous environment

Senior Java, AI Architect

DevOps Engineer

• Operate and improve platform tools so product teams can ship reliably triaging tickets, fix build issues, and handling routine service requests (access, secrets, environment setup).
• Maintain and extend self-service workflows (templates, golden paths) by updating docs, examples, and guardrails under guidance from senior engineers.
• Perform day-to-day Kubernetes operations: deploy/update Helm charts, manage namespaces, diagnose rollout issues, and follow runbooks for incident response.
• Support CI/CD pipelines (e.g., GitLab CI): keep pipelines green, add/adjust jobs, implement basic quality gates, and help teams adopt safer deploy strategies (blue/green, canary).
• Monitor and operate the observability stack using Prometheus, Alert manager, and Thanos; maintain alert rules, dashboards, and SLO/SLA indicators; help reduce alert noise and improve signal quality.
• Assist with service instrumentation across the core observability pillars—tracing, logging, and metrics—with hands-on OpenTelemetry usage (collectors/SDKs) and related telemetry tooling.
• Contribute to and improve documentation: runbooks, FAQs, onboarding guides, and standard operating procedures.
• Participate in an on-call rotation as needed with a well-defined escalation path; assist during incidents, post small fixes, and capture learnings in docs.
• Help with cost- and performance-minded housekeeping: right-size workloads, prune unused resources, and automate routine tasks where appropriate.

Senior Java, AI Architect

Senior DevOps Engineer