DevOps Enginer

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.