DevOps Engineer III at Interface AI

Banking is being reimagined—and customers expect every interaction to be easy, personal, and instant.

We are building a universal banking assistant that millions of U.S. consumers can use to transact across all financial institutions and, over time, autonomously drive their financial goals. Powered by our proprietary BankGPT platform, this assistant is positioned to displace age-old legacy systems within financial institutions and own the end-to-end CX stack, unlocking a $200B opportunity and potentially replacing multiple publicly traded companies.

Ultimately, our mission is to drive financial well-being for millions of consumers.

With over two-thirds of Americans living paycheck to paycheck, 50% holding less than $500 in savings, and only 17% financially literate, we aim to put financial well-being on autopilot to help solve this problem.

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?

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

Ready to lead with impact? Apply now.

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At interface.ai, we are committed to providing an inclusive and welcoming environment for all employees and applicants. We celebrate diversity and believe it is critical to our success as a company. We do not discriminate on the basis of race, color, religion, national origin, age, sex, gender identity, gender expression, sexual orientation, marital status, veteran status, disability status, or any other legally protected status. All employment decisions at Interface.ai are based on business needs, job requirements, and individual qualifications. We strive to create a culture that values and respects each person's unique perspective and contributions. We encourage all qualified individuals to apply for employment opportunities with Interface.ai and are committed to ensuring that our hiring process is inclusive and accessible.

DevOps Engineer III

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