Platform Engineer
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Requirements
• Strong coding background in languages such as Go, Python, TypeScript, or similar. • Strong coding background • Hands-on experience with IaC tools (Terraform, Pulumi, AWS CDK, etc.). • IaC tools • Deep knowledge of cloud environments (AWS, GCP, or Azure). • cloud environments • Experience with container orchestration platforms (Kubernetes, ECS, Nomad). • container orchestration platforms • Proficient in CI/CD pipelines (Jenkins, ArgoCD, GitHub Actions, etc.). • CI/CD pipelines • Familiarity with API gateways, service mesh, and rate limiting • API gateways • service mesh • rate limiting • Solid understanding of monitoring/alerting (Prometheus, Grafana), APM tools (Datadog, New Relic), and centralized logging (ELK, Loki, or similar). • monitoring/alerting • APM tools • centralized logging • Experience managing costs in cloud environments. • costs in cloud environments • Proven ability to build interfaces and platforms (dashboards, chatbots, CLI tools). • build interfaces and platforms • Strong communication skills and ability to collaborate cross-functionally. • Experience with platform product thinking—prioritizing developer empathy and user feedback. • platform product thinking • Previous work in platform engineering or internal developer portals. • platform engineering • internal developer portals • Exposure to feature flag frameworks and progressive delivery tools. • feature flag frameworks • progressive delivery • 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.
Responsibilities
• Infrastructure Ownership – Design, implement, and scale infra across AWS, GCP, or Azure; drive high availability, multi-AZ, and DR/BCP strategies. • Infrastructure Ownership • Cloud-Native Enablement – Build and manage Kubernetes clusters (EKS/GKE), service mesh (Istio/Linkerd), and ingress controllers for secure and resilient workloads. • Cloud-Native Enablement – • CI/CD & Automation – Architect CI/CD pipelines (ArgoCD/GitOps, Jenkins) and build custom deployment portals and automation tools to accelerate developer productivity. • CI/CD & Automation – • AI/LLM Reliability – Define and track key metrics (latency, cost, throughput, containment) for AI/LLMs and agent workflows. • AI/LLM Reliability – • Observability & Tracing – Implement end-to-end tracing for multi-turn queries and real-time pipelines using OpenTelemetry, Prometheus, and Grafana. • Observability & Tracing • Vector Databases – Manage and tune vector DBs (Pinecone, Weaviate, Milvus, etc.) for high concurrency, hybrid retrieval, reranking, and resilience. • Vector Databases – • Resilience & Scaling – Design autoscaling, failover, and health-check–based routing strategies for workloads like WebSockets, RAG pipelines, and voice (STT/TTS). • Resilience & Scaling – • Scripting & Tooling – Write Bash/Python/Go scripts for operational tooling, log rotation, API integrations, and rollout automation. • Scripting & Tooling – • Collaboration – Partner with AI and engineering teams to support complex workflows, while driving DevOps best practices across the organization • Collaboration –
Benefits
• Work on the most impactful and revenue-generating platform in the organization • most impactful and revenue-generating platform • Build infrastructure for real-time intelligent agents—across both chat and voice modalities • real-time intelligent agents • 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 • human-AI interaction • Ready to lead with impact? Apply now. • 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.