Top Engineering Jobs

Architects and builds highly scalable distributed systems, data ingestion pipelines, and Data Lake platforms. Designs Kafka, Iceberg, Flink, and Spark solutions; develops reusable libraries and frameworks; optimizes JVM performance; troubleshoots production issues; and provides technical leadership for complex engineering initiatives. The role also requires cross-team collaboration, engineering best-practice enforcement, and evaluation of emerging technologies.

Lead enterprise reliability and infrastructure initiatives across cloud, on-premises, and SaaS environments. Architect scalable solutions, establish SRE practices, automate operations, respond to incidents, and implement compliance-focused infrastructure controls. Provide advanced customer support, onboarding, documentation, and technical guidance. Collaborate across Engineering, Product, Security, and Customer Success while mentoring engineers and driving reliability, operational excellence, and continuous improvement.

Lead full-stack engineering teams building ServiceNow’s AI Experience Framework, a Lit-based platform for reusable conversational user interfaces. Own roadmap delivery, architecture, technical direction, staffing, mentoring, production escalations, and cross-team coordination. Guide decisions involving AI integration, performance at scale, server-rendered components, routing, APIs, state management, and multi-team framework adoption.

Leads architecture and development for ServiceNow’s enterprise data access platform. Responsibilities include improving scalable, secure, high-performance data access; developing SQL generation and database metadata capabilities; troubleshooting complex production issues; driving architecture, design, code reviews, testing, and reliability practices; delivering cross-team projects; and mentoring engineers across levels. The role requires expert Java and backend platform development, relational database expertise, distributed systems knowledge, and technical leadership across teams.

Architect and build high-performance distributed systems, data ingestion pipelines, and Data Lake platforms. Develop scalable, fault-tolerant components using Java, Kafka, Iceberg, Flink, and Spark; optimize JVM performance; establish engineering best practices; troubleshoot complex production issues; and provide technical leadership for high-risk initiatives.

Build and maintain scalable Software Asset Management products across the full software development lifecycle. Responsibilities include designing and implementing features, writing reusable code, developing automated tests, optimizing performance, collaborating with product managers, architects, and quality engineers, and mentoring peers. The role also involves applying AI-powered tools and workflows, troubleshooting complex systems, and ensuring reliability, observability, and production readiness.

Develop scalable software asset management solutions across the full software development lifecycle, including design, coding, automated testing, performance optimization, and delivery. Collaborate with product managers, architects, and quality engineers to define features, improve product quality, and solve customer problems. Mentor peers, promote engineering best practices, and contribute to reusable, maintainable product capabilities.

Design, build, and operate high-volume telemetry infrastructure, Kafka pipelines, ClickHouse data systems, Kubernetes services, and full-stack analytics features. Own production reliability, observability, incident response, APIs, data models, and CI/CD. Lead complex multi-service designs, mentor engineers, and integrate AI capabilities safely into telemetry products and agent interfaces.

Build, scale, and operate Moveworks AI cloud infrastructure and developer platform. Design secure, resilient multi-region/cloud systems; create IaC-driven CI/CD pipelines; manage Kubernetes/Istio clusters; collaborate with platform, ML, data, frontend, and security teams to meet performance, observability, and cost objectives.

Leads the technical direction, architecture, and full-stack development of large-scale ServiceNow product experiences. Designs scalable distributed systems and modern user interfaces, drives AI-powered capabilities such as LLM experiences and intelligent workflows, owns production reliability and security, influences cross-team engineering strategy, conducts architecture reviews, and mentors senior engineers. Partners with Product, UX, Data Science, and Platform teams to deliver customer-facing enterprise products and improve engineering standards.