DevOps Engineer III

3 days ago

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interface.ai

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Artificial Intelligence • Banking • Fintech

interface. ai is a company specializing in AI-driven solutions for the financial services industry. They offer advanced voice and chat AI technologies that enhance telephone banking experiences through voice biometrics and authentication solutions. Their generative AI is designed to integrate seamlessly with banking systems, automating call center operations and improving customer experience by providing secure, scalable AI solutions for financial services. interface. ai's platform is pre-built specifically for banks and credit unions, enabling significant enhancements in operational efficiency and customer engagement while driving revenue growth through personalized financial insights.

51 - 200 employees

🤖 Artificial Intelligence

🏦 Banking

💳 Fintech

📋 Description

• Infrastructure Ownership – Design, implement, and scale infra across AWS, GCP, or Azure; drive high availability, multi-AZ, and DR/BCP strategies. • Cloud-Native Enablement – Build and manage Kubernetes clusters (EKS/GKE), service mesh (Istio/Linkerd), and ingress controllers for secure and resilient workloads. • CI/CD & Automation – Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins) and build custom deployment portals and automation tools to accelerate developer productivity. • AI/LLM Reliability – Define and track key metrics (latency, cost, throughput, containment) for AI/LLMs and agent workflows. • Observability & Tracing – Implement end-to-end tracing for multi-turn queries and real-time pipelines using OpenTelemetry, Prometheus, and Grafana. • Vector Databases – Manage and tune vector DBs (Pinecone, Weaviate, Milvus, etc.) for high concurrency, hybrid retrieval, reranking, and resilience. • Resilience & Scaling – Design autoscaling, failover, and health-check–based routing strategies for workloads like WebSockets, RAG pipelines, and voice (STT/TTS). • Scripting & Tooling – Write Bash/Python/Go scripts for operational tooling, log rotation, API integrations, and rollout automation. • Collaboration – Partner with AI and engineering teams to support complex workflows, while driving DevOps best practices across the organization

🎯 Requirements

• 5–8 years of core DevOps experience with a strong track record of building infra from scratch (not just maintaining existing systems). • Deep expertise in Docker, Kubernetes, Helm, and container orchestration. • Hands-on with Terraform, Crossplane, and declarative infra management. • Strong experience in CI/CD pipelines (ArgoCD, Jenkins, GitOps workflows) and building custom automation. • Proven ability to deploy AI/LLMs & agent workflows reliably in production. • Expertise in defining/tracking AI workflow metrics and observability of multi-turn queries. • Mandatory expertise with vector databases – tuning, scaling, and optimizing retrieval performance. • Proficiency in monitoring & logging tools (Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch). • Familiarity with service mesh (Istio/Linkerd), networking, and multi-cluster workloads. • Proficiency in scripting/programming (Python, Bash, Go preferred). • Knowledge of security best practices in cloud environments (IAM, secrets, secure networking).

🏖️ Benefits

• Work on the most impactful and revenue-generating platform in the organization • Build infrastructure for real-time intelligent agents—across both chat and voice modalities • Collaborate with top-tier AI researchers, designers, and engineers in a fast-moving, high-trust environment • Help shape the future of human-AI interaction in a mission-driven company at scale