Software Engineer and Technical Lead at ServiceNow

Compensation

$190,900 – $334,100/yr

Setup: Remote, Hybrid
Location: California
Type: Full-time
Level: Lead
Posted: Jul 8, 2026

Description

ServiceNow is seeking a Software Engineer and Technical Lead to design, develop, and operate containerized backend services in Kubernetes environments. The role involves extending ServiceNow's core platform with modern Python and Java microservices, focusing on AI-native capabilities like enterprise data integration, scalable APIs, and reliable deployment patterns. Responsibilities include API design, distributed system building, AI SDK integration, and leading technical direction.

Required Skills

Java
Python
Kubernetes
distributed systems
APIs
backend service design

Additional Information

Required Previous Experiences: 8+ years of professional software engineering experience
Demonstrated experience as a technical lead, Staff Engineer, or equivalent senior individual contributor responsible for architecture, technical direction, code quality, and mentoring
Preferred Qualifications: Prior experience working on AI/ML products, collaborating with research teams, or translating advanced AI/ML capabilities into production software
Knowledge of NLP, search, and knowledge extraction
Experience with multi-modal systems such as document ingestion and processing, image processing, and voice
Working experience with frontier AI SDKs such as Anthropic, Google, or OpenAI
Familiarity with prompt engineering, structured outputs, tool calling, agentic design patterns, Model Context Protocol, or AI-assisted development workflows
Experience with observability tools such as Prometheus, Grafana, Instana, or equivalent monitoring/logging platforms
Knowledge of MLOps or applying machine learning models to production use cases
Experience with infrastructure backends such as PostgreSQL, Redis, Kafka, RabbitMQ, S3-compatible object storage, or equivalent technologies
Published work, patents, conference papers, or open-source contributions related to AI systems, knowledge systems, search, retrieval, or large-scale data processing.