Software Engineering Technical Leader
Core
Principal technical authority driving next-generation enterprise AI and cloud-native platforms, defining multi-year roadmaps and bridging business goals with high-throughput architectures.
Role type
Senior IC software engineering technical leader (AI/ML & distributed systems)
Builds
Multi-tenant cloud platforms, foundational AI applications (RAG, agentic workflows, multi-modal LLMs), and high-scale distributed data systems.
Domain
Enterprise AI, Cloud-Native Infrastructure, Distributed Systems
Deliverable
production ML models | product features | infrastructure
Required skills
Python, microservices, event-driven architectures, cloud-native ecosystems (AWS/GCP/Azure), Kubernetes, CI/CD, high-concurrency distributed data pipelines, messaging systems (Apache Kafka), API contract design (gRPC/REST/GraphQL), domain-driven design (DDD)
Preferred skills
MLOps, LLM integration frameworks, agentic AI platforms, fine-tuning infrastructure, vector search engines (Pinecone/Qdrant), observability platforms (OpenTelemetry/Prometheus/Grafana), chaos engineering, SRE frameworks, open-source contributions
Technologies
Python, AWS, GCP, Azure, Kubernetes, Docker, Apache Kafka, Redis, PostgreSQL, DynamoDB, Cassandra, gRPC, REST, GraphQL, HashiCorp Vault, OAuth2, OIDC, OpenTelemetry, Prometheus, Grafana, Pinecone, Qdrant
Responsibilities
Lead end-to-end design and system topology for multi-tenant cloud platforms; Architect foundational AI applications including distributed RAG and agentic workflows; Design fault-tolerant, elastic systems with company-wide standards for concurrency and messaging; Enforce zero-trust integration patterns and data protection standards; Conduct global architecture review boards and champion best practices; Mentor Lead Software Engineers and drive technical consensus across matrixed pods; Partner with executives to translate long-term business strategy into actionable execution blueprints
Seniority
Senior, hands-on IC with strategic leadership
