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.

Careers -

https : / / interface.ai / open-positions

LinkedIn -

https : / / www.linkedin.com / company / interface-ai /

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.