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Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. PLEASE DO NOT APPLY IF YOU DON'T MEET THIS FEDERAL REQUIRMENT The ServiceNow Security Organization (SSO) The ServiceNow Security Organization (SSO) delivers world-class, innovative security solutions to reduce risk and protect the company and our customers. We enable our customers to migrate their most sensitive data and workloads to the cloud, accelerating our business so that we are the most trusted SaaS provider. We create an environment where our employees are proud to work and can make a positive impact About the role Our security teams pull data from a lot of separate systems. Asset inventory, identity governance, detection tooling, and threat intel all live in different places, so answering a basic question like which systems an attacker could reach from a compromised account can take a security analyst most of a day. We're building a platform that connects those systems behind a shared API and knowledge layer so those questions can be answered in seconds. We are not replacing the source systems or copying their data. You would be a senior individual contributor on a small team, responsible for whole areas of the platform: designing the API contracts, building the services behind them, getting them into production, and working with partner teams to actually adopt them. This is a hands-on role. You will write code, define interfaces other teams build against, and work directly with stakeholders in detection engineering, red team, blue team, and identity and asset management. What you'll do Design and build the platform's core APIs, covering context retrieval, risk scoring, entity resolution, data contracts, and coverage queries. Build and run asynchronous data pipelines on a message bus with a governed schema registry. Integrate security data sources including SIEM, identity governance, asset inventory, and our knowledge graph. Own platform workstreams from scoping through delivery, including the cross-team coordination that takes. Write design proposals and review other people's, as part of the platform's RFC process. Review code, mentor engineers on partner teams who contribute to the platform, and keep the technical documentation usable. Required qualifications Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 12+ years of professional software engineering experience, including systems you have operated in production and not just shipped. OR SIMILAR EXPERIENCE WITH EDUCATION Expert-level Python: data processing at scale, API development, and real testing discipline in a production codebase. Deep hands-on Splunk experience. SPL, data onboarding and normalization, search performance tuning, and working with the Splunk APIs. Software architecture ownership on distributed or data-intensive systems. You have defined service and API boundaries, documented the tradeoffs, and revised a design when the requirements moved. A real cybersecurity background: security operations, detection engineering, threat detection, incident response, or security data engineering. You should know how security telemetry gets produced and consumed, and be comfortable with frameworks like MITRE ATT&CK. Project ownership at a senior IC level. You have taken an initiative from a vague problem statement to a delivered result, worked across team boundaries to do it, and kept engineering leadership informed without needing to be managed through it. Beneficial qualifications Data science experience: statistical analysis, feature engineering, anomaly detection, or building and evaluating models against noisy operational data. Applied AI or ML experience, particularly LLM-based systems, retrieval-augmented generation, knowledge graphs, or agentic workflows, along with some interest in the security side of enterprise AI adoption. Experience with identity governance or asset inventory platforms. Experience defining data contracts or governance models for internal platform consumers. First year By the end of your first year you own one or more of the platform's core APIs, partner teams are building against contracts you wrote, and you are one of the people whose opinion carries weight in architecture and design discussions for the program. #SecurityJobs For positions in this location, we offer a base pay of $190,900 - $334,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

About the Team: The Security and Risk Engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, world-class AI-powered security solutions to reduce risk and protect the company and our customers. We value AI first solutions, clean architecture, intuitive user experiences, and a culture of continuous improvement. Security is a key strategic growth area for ServiceNow, and every engineer here plays a key role in driving innovation and shaping the quality and reliability of our security and risk products. What you get to do in this role Define the technical vision and architecture for AI-native security solutions , leveraging frontier models, agentic AI, reasoning, retrieval, knowledge systems, and advanced ML techniques. Explore and apply emerging AI capabilities to solve complex cybersecurity problems in fundamentally new ways—not simply augment existing products with AI. Define technical architecture and engineering standards that improve scalability, reliability, performance, and maintainability . Partner closely with Product, UX, security researchers, customers, and engineering leaders to identify high-value problems and translate them into differentiated product experiences . Champion AI-native engineering practices , including extensive use of AI coding agents and autonomous development, testing, evaluation, and operational workflows. Represent the team's technology and innovation with executives, customers, partners , and the broader engineering organization. Mentor senior engineers and raise the overall engineering bar through coaching and technical leadership. To be successful in this role, you have Deep technical expertise in modern AI/ML , with demonstrated experience building production AI systems using LLMs, foundation models, agentic architectures, RAG, embeddings, knowledge retrieval, model evaluation, and related technologies. Strong understanding of agentic architectures , including planning and reasoning, tool use, context and memory, multi-agent systems, evaluation, observability, guardrails, and human-in-the-loop patterns. Strong technical foundation in software architecture, distributed systems , cloud-native platforms , data systems, and APIs, with the ability to go deep into architecture and code. Experience designing and building highly performant and scalable distributed systems . Experience with cybersecurity problems such as threat detection, vulnerability and exposure management, security operations, identity security, investigation, risk prioritization, or autonomous remediation strongly preferred. Strong proficiency in Python and experience with modern AI frameworks and infrastructure; experience with Java, Go, or similar languages is valuable. An innovator's mindset with the ability to challenge conventional approaches, identify opportunities created by rapidly evolving AI technology, and turn ambitious ideas into working products. Ability to operate effectively in ambiguity and balance rapid experimentation with the rigor required for enterprise-grade security products. Strong product instincts and the ability to connect technology innovation to customer problems , differentiated experiences, and business outcomes. Executive-level communication skills and the ability to articulate a compelling technical vision to engineers, customers, and senior leadership. 15+ years of software engineering experience, including significant technical and engineering leadership responsibility. Demonstrated experience designing and delivering AI/ML-powered products and platforms in production . Strong backend engineering experience with distributed systems , APIs, microservices, and cloud-native architectures. Demonstrated ability to design systems that scale to enterprise workloads . Hands-on experience with modern AI development technologies, including frontier LLMs, agent frameworks, retrieval/vector technologies, model evaluation and observability. Extensive experience using AI-native development tools and coding agents such as Claude Code, Codex, Cursor, Windsurf, or equivalent as part of the software development lifecycle. Experience leading technical initiatives spanning multiple teams without direct authority. Experience with cloud platforms in Kuberneties is a must and modern DevOps practices. Experience in cybersecurity products or deep familiarity with modern security architectures and security operations is strongly preferred. Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience. For positions in this location, we offer a base pay of $221,200 - $387,100 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The Role We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time. This is not an ML role. This is a distributed systems engineering role at the heart of the agentic AI wave. Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency. The systems that make this possible are what you'll build and own. What you get to do in this role: Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations Distributed session management — Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointing Event-driven message pipeline — SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC and Socket.IO Structured concurrency — Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation Observability infrastructure — OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutes Caching and state layers — Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configuration To be successful in this role you have: You should have deep experience in at least 3 of these areas: Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub) Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics gRPC/protobuf: streaming RPCs, service interface design, error handling patterns Required: 5+ years building production backend/infrastructure systems Strong in Python or Go (ideally both) Experience designing and operating systems that handle real traffic at scale Comfort with ambiguity — these are novel problems without textbook solutions Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

The Role We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time. This is not an ML role. This is a distributed systems engineering role at the heart of the agentic AI wave. Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency. The systems that make this possible are what you'll build and own. What you get to do in this role: Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations Distributed session management — Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointing Event-driven message pipeline — SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC and Socket.IO Structured concurrency — Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation Observability infrastructure — OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutes Caching and state layers — Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configuration To be successful in this role you have: You should have deep experience in at least 3 of these areas: Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub) Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics gRPC/protobuf: streaming RPCs, service interface design, error handling patterns Required: 7+ years building production backend/infrastructure systems Strong in Python or Go (ideally both) Experience designing and operating systems that handle real traffic at scale Comfort with ambiguity — these are novel problems without textbook solutions Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

The Role We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time. This is not an ML role. This is a distributed systems engineering role at the heart of the agentic AI wave. Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency. The systems that make this possible are what you'll build and own. What you get to do in this role: Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations Distributed session management — Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointing Event-driven message pipeline — SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC and Socket.IO Structured concurrency — Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation Observability infrastructure — OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutes Caching and state layers — Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configuration To be successful in this role you have: You should have deep experience in at least 3 of these areas: Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub) Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics gRPC/protobuf: streaming RPCs, service interface design, error handling patterns Required: 12+ years building production backend/infrastructure systems Strong in Python or Go (ideally both) Experience designing and operating systems that handle real traffic at scale Comfort with ambiguity — these are novel problems without textbook solutions Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The Role We are looking for a Machine Learning Engineer to help build cutting edge ML infrastructure for building and serving LLM’s at Moveworks. This role will be critical in building, optimizing and scaling end-to-end machine learning systems. The ML infra team covers a variety of responsibilities including distributed training and inference pipeline for large language models(LLM), model evaluation and monitoring framework, LLM latency optimization, etc. These frameworks serve as a strong foundation for our hundreds of ML and NLP models in production serving hundreds of millions of enterprise employees. We are solving many challenges on scalability of services as well as optimization of core algorithms. In this role you will work closely with our machine learning team, data infrastructure team and every core skill. Above all, your work will impact the way our customers experience AI. Put another way, this role is absolutely critical to the long term scalability of our core AI product and ultimately the company. You will be responsible for building and productionizing ML infrastructure that runs state of the art models. If you are looking for a high-impact, fast-moving role to take your work to the next level, we should have a conversation. Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models. Build abstractions to automate various steps in different ML workflows Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features Leverage your experience to drive best practices in ML and data engineering What you get to do in this role: Design, build and optimize scalable machine learning infrastructure to support training, evaluation, and deployment of large language models. Build abstractions to automate various steps in different ML workflows Collaborate with cross functional teams of engineers, data analytics, machine learning experts, and product to build new features Leverage your experience to drive best practices in ML and data engineering To be successful in this role you have: US Citizenship or permanent resident status 12+ years of industry experience in Machine Learning, Infrastructure or related fields Experience with deep learning framework such as Pytorch or Huggingface or LLM serving frameworks such as vLLM or TensorRT-LLM. Experience with building and scaling end-to-end machine learning systems Experience building scalable micro services and ETL pipelines Expertise in Python and experience with performant language such as C++ or GoLang Bachelor's in Computer Science, Computer Engineering, Mathematics, or equivalent field. A love of research publications in the machine learning and software engineering communities Effective communicator with experience collaborating cross-functionally with other teams Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

The Role We're building the runtime infrastructure that powers Moveworks' AI agents — the systems that orchestrate, execute, and deliver agent responses to millions of enterprise users in real time. This is not an ML role. This is a distributed systems engineering role at the heart of the agentic AI wave. Our AI agents can plan, execute multi-step workflows, call tools, wait on human input, and resume — all while maintaining correctness, observability, and low latency. The systems that make this possible are what you'll build and own. What you get to do in this role: Agent orchestration engine — A state machine that manages long-running agent sessions, coordinating planning, execution, and user interaction across multiple LLM calls and tool invocations Distributed session management — Lease-based ownership using DynamoDB conditional writes, heartbeat protocols, and crash recovery via checkpointing Event-driven message pipeline — SQS FIFO queues for ordered delivery, Kafka consumers for event processing, and real-time streaming via gRPC and Socket.IO Structured concurrency — Python asyncio TaskGroups running multiple concurrent tasks per session (message polling, lease heartbeats, output publishing, orchestrator execution) with fail-fast semantics and graceful cancellation Observability infrastructure — OpenTelemetry instrumentation, distributed trace context propagation across async boundaries, custom span lifecycle management for sessions that span minutes Caching and state layers — Redis, DynamoDB KV stores with per-org/per-bot scoping, batch read optimization, and hot-reload configuration To be successful in this role you have: You should have deep experience in at least 3 of these areas: Distributed systems: consistency models, idempotency, exactly-once delivery, distributed locking/leasing Concurrent/async programming: Python asyncio, Go goroutines, structured concurrency, cancellation handling Event-driven architectures: message queues (SQS, Kafka), pub/sub, backpressure, delivery guarantees Database systems for infrastructure: DynamoDB (conditional writes, transactions), Redis (connection pooling, pub/sub) Observability: OpenTelemetry, distributed tracing, span context propagation, Prometheus metrics gRPC/protobuf: streaming RPCs, service interface design, error handling patterns Required: 5+ years building production backend/infrastructure systems Strong in Python or Go (ideally both) Experience designing and operating systems that handle real traffic at scale Comfort with ambiguity — these are novel problems without textbook solutions Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.

What you get to do in this role: Attract, inspire, and enable a thriving ecosystem through proactive direct engagement, with a bias toward ‘learning and listening’ and transforming community members into champions. Establish yourself as a trusted technical peer and community advocate by generating innovative content, whether it is blog posts, videos, code examples, workshops, webinars, etc. You will have tremendous freedom in this space to be creative and generative. As you grow in this role, you will support production needs of the Developer Advocate team, helping scale content creation. Identify, plan, and execute amazing developer experiences like hackathons, workshops, and meetups Help build and scale events and meetups to drive community collaboration. Help your established networks of developers understand why they want to be developing on ServiceNow Participate in social media and blogging activities to drive developer awareness Identify and drive action on new channels to reach and engage with developers Partner with a cross functional team including Product Marketing, Product Management, Engineering, Events and Campaigns team to deliver our developer program content. To be successful in this role you have: 3+ years of experience as a Developer Advocate or Developer Relations team member or related experience supporting Developer success. 6+ years of experience as a Developer or Engineer across any relevant disciplines including cloud software development, PaaS, SaaS. ServiceNow experience a bonus, but not necessary. A willingness to learn is! Video creation experience a plus, especially using Premier Pro. Experience speaking at technology conferences, blogging, video, and writing technical articles and contributing to popular open-source projects. Excellent communication skills as both a strong technical writer and a dynamic public speaker. Proven strong relationship building, especially in digital environments, to interact with peers, colleagues, customers, and third parties Travel: Up to 20% annually Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.