Staff Software Engineer Python & AI Agent Security Platform

Why Join Skyrelis? Build the world’s leadingAI security & observabilityplatform. Work on cutting-edge multi-cloud infrastructure and global PoP architecture. Own complex security + cloud problems end-to-end. Significant growth opportunity as one of the early engineers building the Skyrelis platform.About the role Skyrelis is looking for a Member of Technical Staff (MTS) / Staff Software Backend/Platform Engineer contractor to lead the design and development of cloud-native, Python-first systems that power AI agents, LLM integrations, safety/guardrails, and secure traffic inspection across modern deployments. This is a backend/platform role focused on production systems, security, and reliability. You will work on architecture, core platform services, proxy/HTTP systems, data pipelines, and AI agent runtime controls—shipping production-grade software with high reliability and strong security posture.Responsibilities Leadsystem design and architecturefor scalable backend/platform services supporting AI agents and LLM-driven workflows. Build and maintainPython services and libraries(APIs, pipelines, policy engines, telemetry, integrations). Develop secure, high-performance components involving: HTTP/HTTPS , TLS, certificates, and request/response processing Forward/explicit proxies , service-to-service traffic interception, and policy enforcement Design and implementguardrails/safety controlsfor AI agent workflows (prompt/response filtering, tool-use controls, policy checks, data loss prevention patterns). Build cloud-native deployments onAWS and/or GCP , including CI/CD, observability, and cost-aware scalability. Drive debugging and incident resolution: deep dives across app, network, and infra layers. Design data models and storage for operational analytics usingOpenSearch/PostgreSQLand related systems. Collaborate with product, security, and infra teams to define roadmaps, technical direction, and best practices. Mentor engineers and raise engineering quality through reviews, design docs, and operational excellence.Required Qualifications BS/MS in Computer Science, Engineering , or equivalent practical experience. 7+ yearsof hands-on software development experience with strong ownership of production systems. Strong background indesign and architecture(distributed systems, APIs, reliability, scaling). StrongPythondevelopment experience; comfortable with additional languages (e.g.,Go/Java/TypeScript/Rust ). 5+ years of working experience with FASTAPI or any other Python web framework. Working knowledge ofAWS and/or GCPcloud deployments (networking, compute, IAM, security). Excellentdebuggingskills across application, network, and infrastructure layers. Solid understanding ofHTTP/HTTPS protocols , TLS, certificates, and traffic flows. Knowledge/experience withproxies(forward/explicit/reverse), authentication patterns, and request/response transformations. Experience with databases and search/analytics systems:PostgreSQL, OpenSearch/Elasticsearch(indexing, mappings, query patterns).Preferred Qualifications Knowledge of AI / LLM / Agent Technology Requirements Hands-on experience buildingAI agentsusing common frameworks (e.g.,LangChain/LangGraph, LlamaIndex, Semantic Kernel ) and core patterns liketool/function calling, planning/execution, memory, RAG, and multi-agent workflows . Practical integration withLLM services/APIs(e.g.,OpenAI/Azure OpenAI, Anthropic, Google Vertex/Gemini, AWS Bedrock ) includingstreaming, structured outputs, routing/fallbacks . Experience implementing guardrails and safety controls (policy enforcement, prompt-injection defenses, PII/secrets detection, moderation, tool-use restrictions; tools like Prompt Guard, Guardrails AI, NeMo Guardrails, LLM Guard, etc.) Strong understanding ofRAGand retrieval systems, includingembeddings, chunking/ranking , and usingvector search(OpenSearch vector, pgvector, Pinecone/Weaviate/Milvus/FAISS). Familiarity withevaluation and observabilityfor LLM/agent systems:quality/safety metrics, cost/token tracking, OpenTelemetry tracing/logging . Experience buildingsecurity products(DLP, policy enforcement, identity integration, audit logging). Experience withservice mesh / sidecars(Istio/Envoy), certificate automation, or SDS/mTLS concepts. Experience withKubernetes(EKS/GKE), Terraform/CloudFormation, and production operations. Experience withOpenSearch(data streams, index templates, ISM/ILM, dashboards) and performance tuning.Tech Stack Languages:Python (primary), plus Go/Java/TypeScript Cloud:AWS/GCP, VPC networking, IAM, load balancers, CDN Data:PostgreSQL, OpenSearch, Redis; optional vector DBs AI:LangChain/LangGraph, LlamaIndex; OpenAI/Bedrock/Vertex/Gemini/Anthropic Observability:OpenTelemetry, logs/metrics/traces, dashboards/alerting Security/Networking:HTTP/HTTPS, TLS, proxies, authN/authZ, guardrailsSoft Skills Strong ownership and execution abilities. Excellent communication and documentation skills. Ability to operate independently in a fast-moving startup environment. Comfortable collaborating with engineering, security, and customer teams.We’re grateful to everyone who takes the time to apply. While we’re unable to respond to every applicant, we’ll be in touch directly with those whose experience aligns closely with the role.

Apply Now