DevOps Engineer III

🕒 Dezembro 1, 2025

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interface.ai

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🤖 Inteligência Artificial

🏦 Bancário

💳 Fintech

Artificial Intelligence • Banking • Fintech

A interface. ai é uma empresa especializada em soluções impulsionadas por IA para a indústria de serviços financeiros. Eles oferecem tecnologias avançadas de IA de voz e chat que aprimoram as experiências de banco por telefone através de soluções de biometria de voz e autenticação. Sua IA generativa é projetada para se integrar perfeitamente com sistemas bancários, automatizando operações de call center e melhorando a experiência do cliente ao fornecer soluções de IA seguras e escaláveis para serviços financeiros. A plataforma da interface. ai é pré-construída especificamente para bancos e cooperativas de crédito, permitindo aprimoramentos significativos na eficiência operacional e no engajamento do cliente, enquanto impulsiona o crescimento da receita por meio de insights financeiros personalizados.

Descrição

• 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

🎯 Requisitos

• 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).

🏖️ Benefícios

• 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