K Health is hiring a Senior Platform Engineer

About the Role We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities — from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization. You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability. What You'll Be Doing • Design, build, and maintain production-grade backend services, APIs, and microservices. • Develop background workers, event-driven systems, and async processing pipelines. • Define and enforce backend architecture patterns — API design standards, service boundaries, data modeling, and error handling. • Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.). • Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality. • Contribute to the design and development of corporate AI-agent tooling — building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools. • Work closely with large language models (LLMs) — including prompt engineering, API integration, and building reliable pipelines around model inference. • Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations. • Design and manage CI/CD pipeline templates shared across engineering teams — covering build, test, security scanning, and deployment stages. • Develop internal developer platform tooling that improves self-service capabilities and deployment velocity. • Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus. What We're Looking For • 6+ years of backend engineering experience with strong proficiency in Python and/or TypeScript / Go / Java. • Hands-on experience with Kubernetes — beyond basic deployments; you understand scheduling, resource management, networking, RBAC, and cluster-level operations. • Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, or similar). • Strong background in designing and operating distributed backend systems, including microservices, message brokers (Pub/Sub, Kafka, RabbitMQ), and relational/NoSQL databases. • Experience developing internal developer tooling and platform abstractions. • Practical experience working with LLMs and AI agents — whether through API integrations (OpenAI, Anthropic, etc.), agentic frameworks (LangChain, LangGraph, CrewAI, or similar), or building tooling around model inference. • A DevOps mindset — you care about deployment safety, rollback strategies, and the lifecycle of code from commit to production. Advantages • Experience with GitOps workflows (ArgoCD, Flux). • Experience with cloud platforms (GCP preferred, AWS). • Contributions to open-source infrastructure tooling. • Experience building or productionizing agentic systems, including tool use, memory, and multi-step reasoning pipelines. • Familiarity with LLM infrastructure concerns — model hosting, context management, cost optimization, or evaluation frameworks.