## About the Role You will own the backbone that runs thousands of concurrent AI-powered phone calls inside bank-grade on-premise environments. Not just keeping pods alive, you architect distributed systems that handle real-time voice, scale STT / LLM / TTS inference across customer GPU clusters, integrate with enterprise telephony (Cisco CUBE, Genesys, Asterisk), and deploy behind the firewalls of largest financial institutions. Your work decides whether our platform answers a bank's rush-hour traffic or leaves customers on dead air. ## What You'll Do *
- **Own on-prem deployments** into OpenShift clusters inside banks. Helm charts, image registries, GPU allocation, CyberArk integration, SAML 2.0 / OIDC SSO. *
- **Scale GPU inference infrastructure** for our STT, TTS, and LLM models across multiple customer environments (H100 / H200, NVLink, Triton or vLLM). *
- **Integrate with telephony**: Asterisk, SIP trunks, Cisco CUBE, Genesys, WebRTC. SIP header parsing (X-Genesys-\*), direction routing, warm transfers, DTMF. *
- **Own reliability**: Splunk SIEM forwarding, Langfuse and Grafana observability, incident playbooks for bank-grade 24/7 SLAs. *
- **Security and compliance**: RBAC, pentest remediation, KVKK and BDDK compliance patterns, pod security policies. *
- **Scale with growth**: we onboard a new bank or insurer every quarter. Each is a new on-prem environment with its own constraints. *
- **Spot flaws early**. We are building new architecture for a regulated industry. You help us see what needs to be solved next. ## Interesting Problems to Own *
- **On-prem meets streaming**. Most voice AI stacks assume cloud. We run the same stack inside banks with zero internet egress. Novel problems in image delivery, model updates, secrets rotation. *
- **Bank-scale concurrency**. A single campaign can put millions of customers on the line the same afternoon. Queueing, graceful degradation, GPU-aware autoscaling are yours to design. *
- **Legacy-meets-new telephony**. Cisco CUBE, Asterisk, Genesys, SIP, WebRTC. You wrangle old-school protocols alongside modern streaming stacks. ## What Makes You a Great Fit *
- **3+ years** building and scaling distributed systems. Deep Kubernetes / OpenShift knowledge. AWS / GCP helpful. *
- **Fundamentals plus**. You can sketch how a SIP INVITE flows through a proxy, explain a K8s GPU scheduler, or tell us the obscure thing you fell asleep reading last night. *
- **Real-time systems** experience. Low-latency streaming or inference. Voice / video is a big plus. *
- **On-prem mentality**.
You have
shipped software into environments you did not fully control: Turkish bank, European healthcare, US regulated finance, anything similar. * • **Startup hats**.
You have
worked where problems find you before process does. *
- **Opinionated without alienating**. Opinions drive progress, but you find compromises with customers and teammates. *
- **Familiar with**: Kubernetes / OpenShift, Helm, Docker, Terraform, NVIDIA GPU stack, Asterisk, SIP, Cisco CUBE, Genesys, Splunk, Grafana, CyberArk, Python or Go. ## Bonus Points *
- Telephony systems (SIP, VoIP, WebRTC). *
- ML infrastructure, model serving, or GPU computing (Triton, vLLM, TensorRT). *
- Real-time audio processing. *
- Banking / fintech / BDDK and KVKK compliance familiarity. *
- Fluent Turkish or comfortable working with Turkish customer teams daily.\ \ _Don't worry about the checklist. We hire for how you think, not how many boxes you tick. The work is hard, the hours_ _are long, and most of what we ship nobody has built before. If that sounds good instead of scary, apply._
