interface.ai is the industry's-leading specialized AI provider for banks and credit unions, serving over 100 financial institutions. The company's integrated AI platform offers a unified banking experience through voice, chat, and employee-assisting solutions, enhanced by cutting-edge proprietary Generative AI.
Our mission is clear: to transform the banking experience so every consumer enjoys hyper-personalized, secure, and seamless interactions, while improving operational efficiencies and driving revenue growth.
interface.ai offers pre-trained, domain-specific AI solutions that are easy to integrate, scale, and manage, both in-branch and online. Combining this with deep industry expertise, interface.ai is the AI solution for banks and credit unions that want to deliver exceptional experiences and stay at the forefront of AI innovation.
We are seeking a highly skilled and passionate Platform Engineer to help redefine how infrastructure and operations are delivered to development teams. This is a role for someone moving beyond traditional DevOps into a space focused on developer enablement, tooling, and abstractions that make engineering teams more productive and self-sufficient.
As a Platform Engineer, you’ll be instrumental in designing and building internal platforms, frameworks, and interfaces (e.g., Web UIs, CLI tools, ChatOps interfaces) that abstract the complexity of infrastructure, enabling developers to focus on building features and shipping code confidently.
Key Responsibilities- Tooling & Automation: Design, build, and maintain self-service tooling for developers—enabling them to provision infrastructure, deploy applications, and monitor systems with minimal friction.
- Abstraction & Interface Building: Create easy-to-use abstractions and interfaces (like Web UIs, chatbots, and CLIs) that simplify operational tasks and workflows.
- Infrastructure as Code (IaC): Architect and maintain scalable, repeatable infrastructure using Terraform, Pulumi, or similar tools.
- Cloud Engineering: Work deeply within cloud platforms (AWS/GCP/Azure), leveraging native services to optimize performance, cost, and scalability.
- CI/CD Systems: Build and optimize robust continuous integration and deployment pipelines that reduce lead time and improve reliability.
- API Gateways & Service Meshes: Manage API gateways, ingress controllers, and service mesh implementations for resilient, observable services.
- Observability: Establish centralized monitoring, alerting, metrics, APM, and logging solutions to ensure system reliability and developer insight.
- Cost Optimization: Implement cost management tooling and visibility features to ensure sustainable platform usage.
- Environment Management: Develop systems for ephemeral and on-demand environments to support testing, experimentation, and feature validation.
- Experimentation Frameworks: Support teams with infrastructure and tooling for A/B testing and canary deployments.
- Security & Governance: Ensure platform tools comply with organizational security policies and audit requirements.
- Developer Collaboration: Serve as a partner to engineering teams, gathering feedback, running internal demos, and iterating quickly to improve the developer experience.
- Strong coding background in languages such as Go, Python, TypeScript, or similar.
- Experience range is 5-9 Years
- Hands-on experience with IaC tools (Terraform, Pulumi, AWS CDK, etc.).
- Deep knowledge of cloud environments (AWS, GCP, or Azure).
- Experience with container orchestration platforms (Kubernetes, ECS, Nomad).
- Proficient in CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions, etc.).
- Familiarity with API gateways, service mesh, and rate limiting
- Solid understanding of monitoring/alerting (Prometheus, Grafana), APM tools (Datadog, New Relic), and centralized logging (ELK, Loki, or similar).
- Experience managing costs in cloud environments.
- Proven ability to build interfaces and platforms (dashboards, chatbots, CLI tools).
- Strong communication skills and ability to collaborate cross-functionally.
- Proficiency in advanced prompt engineering, including designing, optimizing, and integrating LLM prompts into complex workflows and production systems.
- Experience with platform product thinking—prioritizing developer empathy and user feedback.
- Previous work in platform engineering or internal developer portals.
- Exposure to feature flag frameworks and progressive delivery
Benefits
- Remote First Policy
- Comprehensive Insurance Policy
- A chance to have a huge impact early in your career
#LI-Remote #LI-SS1
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.
