DevOps Engineer III

Get To Know Us First!

Who We Are

At interface.ai, we’re redefining the future of banking with AI. Our cutting-edge Generative AI-powered platform serves over 100 banks and credit unions, delivering hyper-personalized customer interactions across voice, chat, and employee-assisting solutions.

Our mission

To make banking effortless, intelligent, and profitable—enhancing user experience while boosting revenue and efficiency for financial institutions.

We’re not just another AI company. Our proprietary AI, built 100% in-house, is designed for zero-shot learning, achieving 90%+ accuracy on Day 1. With a world-class team from Microsoft, ISB, and IIMs, and a 1,800% growth rate in the last year, we’re shaping the future of AI in financial services.

Join us to build something transformative.

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Role – DevOps Engineer III

Location: India (Remote)

Function: Engineering – Product Engineering

Level: Senior

Reports to: Engineering Manager – Product Engineering

About the Role

At interface.ai, we are building BankGPT – the world’s first AI-powered digital banking platform that leverages large language models, multi-agent orchestration, real-time streaming, and voice AI. To support this mission, we are seeking a DevOps Engineer III who will own infrastructure end-to-end, design systems from scratch, and enable highly resilient AI workloads at scale.

This is a senior, hands-on role that requires deep expertise in cloud-native DevOps, infrastructure automation, observability, and security. You’ll not only build and optimize systems but also influence best practices, mentor peers, and contribute to critical decision-making around platform reliability and scalability.

What You’ll Do

• 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

What You’ll Bring

• 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).

Bonus Points:

• Experience working on AI-enabled or ML-integrated platforms
• Understanding of compliance, security, and auditability requirements in regulated environments
• Prior experience working in fast-paced, high-growth product teams

Why Join Us?

• Remote-first culture – Work from anywhere, with top-tier colleagues.
• High ownership, high impact – Your work will define the future of banking.
• Comprehensive Benefits – We take care of our people.