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What we are looking for: An experienced engineer that is passionate about building enterprise grade systems and applying AIML concepts while implementing the solutions. You're passionate about new technologies and ready to push the boundaries of what is achievable. You're enthusiastic about working in the latest technologies and/or passionate about developing large scale server-side technologies for collaboration platforms supporting rich conversational experiences blended with Artificial Intelligence. You are looking for challenges and opportunities. You have the ability and desire to bring new ideas. You are a team player and will work with other experienced co-workers to help us evolve the technology stack to build modern and awesome conversational experience for our customers. You must possess a solid understanding of building amazing, performant and scalable user interfaces/servers with large scale data, an obsession with design aesthetics, and engineering excellence. What you get to do in this role: Build highly interactive applications that can scale with application complexity. Create tools, libraries, and frameworks for other developers to build upon. Apply new technology and innovation to improve platform functionality with AIML. Write high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes including Code Reviews and Unit testing. Collaborate with product owners to understand requirements and own the code from design to delivery. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Contribute to the design and implementation of new products and features while also enhancing the existing product suite. Mentor colleagues and promote knowledge-sharing. In order to be successful in this role, we need someone who has: 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. Bachelor's/Master's degree in Computer Science or a related discipline with 5+ years of software industry experience for bachelors. Significant experience designing and implementing highly interactive and high-volume applications. Expertise in backend technologies: Java, Junit, REST, JSON, AIML and associated concepts. Relational databases, SQL and frameworks like Spring, Hibernate and frontend technologies. Solid JavaScript experience along with python and AIML concepts. Competent in aspects of design, usability, and scalability. Experience in ML/Natural Language systems and Large Language Models, including their applications in conversational AI and natural language processing. Strong written and verbal communication. For positions in this location, we offer a base pay of $143,200 - $243,400 , 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.

Staff Software Engineer - ITAM and AI Cost We're looking for a Staff Full Stack Developer to help build and scale our AI-powered tools for application development. You'll work at the intersection of UI, backend, and AI-driven engineering — architecting solutions that improve developer experience, expand platform capabilities, and drive engineering excellence across the team. The Software Asset Management product(ITAM) empowers organizations to manage software licensing and compliance with precision. Our engineers build performance-efficient algorithms that help customers achieve the most accurate licensing position possible. You’ll be responsible for the full software development lifecycle—from design and implementation to testing and delivery—while partnering closely with product managers, architects, and quality engineers. Together, we improve product quality, efficiency, and performance. The SAM team is deeply aligned with company priorities and market expectations, delivering solutions that matter. You will be building the next generation of AI Cost Management capabilities that help enterprises understand, govern, optimise, and control AI spending across large-scale AI ecosystems. The product provides visibility into AI consumption, cost attribution, budgeting, forecasting, spend controls, alerts, and vendor integrations across AI services such as Anthropic, OpenAI, Microsoft Copilot, and future AI providers. What You Get to Do in This Role Design and implement AI-Native product development, using cutting-edge technical approaches to deliver business value Build high-quality, clean, scalable, and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit Testing, etc.) Own your code from design through implementation, test automation, and delivery Collaborate with product managers to define feature sets that solve real customer problems Work with architects to shape product design and with QE to enhance quality and performance Contribute to new product features and enhance existing offerings Mentor peers and promote knowledge-sharing across the team To be successful in this role you have: Experience in leveraging critical 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. 8+ years of experience in software engineering, with a track record of delivering high-quality products. Hands-on experience with columnar/analytical data stores (e.g., ClickHouse, Apache Druid, Snowflake, BigQuery, Redshift, or Vertica), including schema design, partitioning, and query optimization for large-scale analytical workloads. Experience building and operating distributed data pipelines for high-volume ingestion, transformation, and reconciliation (e.g., Apache Spark, Kafka, Flink, Airflow, or dbt). Experience creating dashboards and analytic reports with tools such as Power BI, Tableau, or Looker. Proficiency in Python, Java, or similar object-oriented languages. Experience with modern front-end frameworks such as Angular, React, or Vue. Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization Familiarity with automated testing frameworks (e.g., JUnit, Playwright, TestNG) and integrating tests into CI/CD pipelines Understanding software quality principles including reliability, observability, and production readiness. Ability to troubleshoot complex systems and optimize performance across the stack. Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency. Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems Why Join Us Build and deliver high-impact AI Native products that powers digital experiences for millions of users. Collaborate in a culture that values craftsmanship, quality, and innovation. Work as AI Native engineer and us AI productivity and automation tools that enhance engineering excellence and drive product reliability. Be part of a culture that encourages innovation, continuous learning, and shared success. 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.

To be successful in this role you have: You will own the design and delivery of significant components and core subsystems of our Kubernetes platform—for example secrets and certificate management, workload identity, storage, or cluster networking—from design through production operation. You will take a loosely defined platform problem and turn it into a design, a plan, and shipped software, with limited scaffolding from others. You will contribute to the architecture of distributed workloads running on the platform, working with the teams who depend on it to get the runtime and isolation model right. You will spend most of your time hands-on in code—operators and controllers, infrastructure automation, and platform services—and in the reviews that keep their quality high. You will own the operability of what you build: SLOs, failure modes, upgrade and migration paths, and on-call for your own systems. You will partner with senior staff and principal engineers to keep your work aligned with the wider platform architecture, and mentor engineers earlier in their careers. You will help us run a platform that serves regulated markets, where compliance constraints including FedRAMP shape design choices. To be successful in this role you have: Built and operated Kubernetes platform infrastructure in production before, at meaningful scale—not just consumed it. You can point to specific subsystems you designed, shipped, and then supported through real incidents and upgrade cycles. 8+ years building production software, including solid experience operating distributed systems. Strong programming skills in Go, with production Kubernetes controller or operator work behind you. Hands-on depth with at least one major hyperscaler (AWS, Azure, GCP)—its compute, networking, and IAM primitives, and where they leak into cluster design. A track record of owning complex components end to end, from ambiguous problem to production, whether or not you carried a lead title. Strong working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. Experience leveraging or critically thinking about how to integrate AI into engineering and platform work—AI-powered tooling, automated operational workflows, agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. It also helps if you have: Experience with managed Kubernetes (EKS/AKS/GKE) alongside self-managed clusters. Experience with container networking (CNI) and/or service mesh. Experience with mTLS, workload identity, and secrets management at fleet scale. Experience with observability—metrics, tracing, and SLOs. Experience with Terraform, Crossplane, or similar declarative infrastructure tooling. Experience designing or tuning distributed data or compute workloads on Kubernetes. 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Staff Software Engineer (IC4 Level) to join our Data Platform Engineering organization. You are a strong hands-on contributor who will own well-scoped components and projects within the team and deliver them end-to-end. What you get to do in this role: You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards. You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. You will help onboard and mentor junior engineers through code review, design feedback, and pairing. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes. Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives. A track record of delivering complex features or services as a key contributor. Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or another systems language with a willingness to work primarily in Go). It also helps if you have: Experience building Kubernetes controllers or working with the operator pattern. Familiarity with container networking (CNI) or service mesh. Experience with workload identity, mTLS, or secrets management. Experience with observability — metrics, tracing, and dashboards. Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Staff Software Engineer (IC4 Level) to join our Data Platform Engineering organization. You are a strong hands-on contributor who will own well-scoped components and projects within the team and deliver them end-to-end. What you get to do in this role: You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards. You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. You will help onboard and mentor junior engineers through code review, design feedback, and pairing. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes. Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives. A track record of delivering complex features or services as a key contributor. Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or another systems language with a willingness to work primarily in Go). It also helps if you have: Experience building Kubernetes controllers or working with the operator pattern. Familiarity with container networking (CNI) or service mesh. Experience with workload identity, mTLS, or secrets management. Experience with observability — metrics, tracing, and dashboards. Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Staff Software Engineer (IC4 Level) to join our Data Platform Engineering organization. You are a strong hands-on contributor who will own well-scoped components and projects within the team and deliver them end-to-end. What you get to do in this role: You will design, build, and operate components and services within the cloud-native platform, taking features from design through to production. You will lead well-scoped projects within your team, turning requirements and rough ideas into solid technical designs and delivering them. You will collaborate with senior, staff, and principal engineers to align your work with the platform’s architecture and standards. You will contribute to the reliability, scalability, and operability of what you build — writing tests and instrumentation, improving runbooks, and participating in on-call. You will spend most of your time hands-on building — operators, controllers, automation, and platform services that other teams depend on. You will help onboard and mentor junior engineers through code review, design feedback, and pairing. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering work — whether using AI-powered coding and operational tooling, automating workflows, or reasoning about how AI changes the way software and infrastructure are built. 8+ years of software development experience with a Bachelor's degree; OR 5+ years with a Master's degree; OR 3+ years with a PhD; OR equivalent work experience. 5+ years of hands-on experience building, deploying and operating workloads on Kubernetes. Working experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, and IAM primitives. A track record of delivering complex features or services as a key contributor. Solid working knowledge of containers, CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or another systems language with a willingness to work primarily in Go). It also helps if you have: Experience building Kubernetes controllers or working with the operator pattern. Familiarity with container networking (CNI) or service mesh. Experience with workload identity, mTLS, or secrets management. Experience with observability — metrics, tracing, and dashboards. Experience with managed Kubernetes (EKS/AKS/GKE) and infrastructure-as-code tools such as Terraform. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Senior Staff Software Engineer (IC5 Level) to join our Data Platform Engineering organization. You will be a hands-on technical lead who will lead t he design and delivery of shared, multi-tenant platform services — Postgres, queueing/streaming, and key-value stores — on Kubernetes, and serves as the technical anchor for their availability, resilience, and operating model. What you get to do in this role: You will lead the design and delivery of shared platform services — managed Postgres, queueing/streaming, and key-value/cache — that run on Kubernetes across a large global fleet and that product teams across the company depend on, owning them from design through production operation. You will act as the technical lead on major initiatives within your team, breaking down ambiguous problems — “offer HA Postgres as a service to every cluster,” “make our queueing tier survive a zone loss” — into clear, executable designs with explicit availability, durability, and cost targets. You will define the HA, failover, disaster-recovery, and multi-region architecture for the services you own, and the Kubernetes-native automation (operators, controllers, CRDs, self-service APIs) that provisions, scales, upgrades, and fails them over without human intervention. You will partner with principal and distinguished engineers to align your work with the broader platform architecture and standards, and with product teams to set consumption contracts, tenancy models, and SLOs for shared services. You will identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, and operability — leading failure-mode analysis, game days, and post-incident reviews for stateful systems. You will spend significant time hands-on — designing, coding, and reviewing the core systems your team builds, such as operators, controllers, infrastructure automation, and platform services. You will mentor mid-level and junior engineers and raise the engineering bar through code reviews, design feedback, and pairing — particularly around distributed-systems and data-service design. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering and platform work — whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. 8+ years building production software, with solid experience operating distributed systems and running stateful workloads on Kubernetes at scale. A track record of leading the design and delivery of at least one shared, multi-tenant infrastructure service used broadly by other teams — a relational database service (Postgres or similar), a message queue or streaming platform (Kafka, NATS, RabbitMQ, or similar), or a key-value/cache service (Redis/Valkey, etcd, or similar) — including its HA, failover, and operating model. Deep understanding of high availability and failure handling: replication topologies, leader election, quorum and consensus, split-brain avoidance, backup/restore and point-in-time recovery, and designing to explicit RPO/RTO and durability targets. Strong system design skills — you can reason rigorously about consistency models, partitioning and rebalancing, capacity planning, tenant isolation, and noisy-neighbor mitigation, and communicate the trade-offs clearly to engineers and stakeholders. Hands-on experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, storage, and IAM primitives. Strong working knowledge of containers and Kubernetes (including stateful primitives: StatefulSets, CSI/persistent storage, PDBs, topology spread), CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or strong systems-language skills with a willingness to work primarily in Go). It also helps if you have: Experience building or extending Kubernetes operators that manage stateful systems (e.g., CloudNativePG, Zalando/Crunchy Postgres operators, Strimzi, Redis/Valkey operators), and opinions on when to adopt versus build. Deep expertise in one of the target systems: Postgres internals (WAL, streaming/logical replication, vacuum, connection pooling with PgBouncer/PgCat, major-version upgrades); Kafka/NATS (partitioning, ISR/replication, exactly-once semantics, consumer scaling); or Redis/Valkey (cluster mode, persistence, eviction, hot-key handling). Experience running data services across multiple regions or clusters — cross-region replication, failover orchestration, and DR testing. Experience with zero-downtime upgrades, schema/data migrations, and fleet-wide rollouts of stateful services. Experience with observability and SLOs for stateful systems — replication lag, saturation, tail latency, error budgets — and with capacity and cost management for shared infrastructure. Experience designing multi-tenancy: quotas, isolation, chargeback/showback, and self-service provisioning APIs or CRDs. Experience with container networking (CNI) and/or service mesh, and with workload identity, mTLS, and secrets management as applied to data services. Experience with managed Kubernetes (EKS/AKS/GKE), managed data services (RDS/Aurora, Cloud SQL, MSK, ElastiCache), and infrastructure-as-code tools such as Terraform or Crossplane. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.

Position Location: This is a Flexible (Hybrid) position. Flexible positions require 2 days per week in a ServiceNow office location. We have offices in several locations, including San Francisco, CA; Pleasanton, CA; Santa Clara, CA; San Diego, CA; and Kirkland, WA Please Note: This position will include supporting our US Regulated Markets. “This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered. About the team: We are seeking a Senior Staff Software Engineer (IC5 Level) to join our Data Platform Engineering organization. You will be a hands-on technical lead who will lead t he design and delivery of shared, multi-tenant platform services — Postgres, queueing/streaming, and key-value stores — on Kubernetes, and serves as the technical anchor for their availability, resilience, and operating model. What you get to do in this role: You will lead the design and delivery of shared platform services — managed Postgres, queueing/streaming, and key-value/cache — that run on Kubernetes across a large global fleet and that product teams across the company depend on, owning them from design through production operation. You will act as the technical lead on major initiatives within your team, breaking down ambiguous problems — “offer HA Postgres as a service to every cluster,” “make our queueing tier survive a zone loss” — into clear, executable designs with explicit availability, durability, and cost targets. You will define the HA, failover, disaster-recovery, and multi-region architecture for the services you own, and the Kubernetes-native automation (operators, controllers, CRDs, self-service APIs) that provisions, scales, upgrades, and fails them over without human intervention. You will partner with principal and distinguished engineers to align your work with the broader platform architecture and standards, and with product teams to set consumption contracts, tenancy models, and SLOs for shared services. You will identify technical risks early and drive them to resolution, with a strong focus on reliability, scalability, and operability — leading failure-mode analysis, game days, and post-incident reviews for stateful systems. You will spend significant time hands-on — designing, coding, and reviewing the core systems your team builds, such as operators, controllers, infrastructure automation, and platform services. You will mentor mid-level and junior engineers and raise the engineering bar through code reviews, design feedback, and pairing — particularly around distributed-systems and data-service design. To be successful in this role you have: Experience leveraging or critically thinking about how to integrate AI into engineering and platform work — whether using AI-powered tooling, automating operational workflows, building agentic systems for fleet visibility and operations, or reasoning about AI’s impact on how infrastructure is built and run. 12+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's degree; OR 5+ years with a PhD; OR equivalent work experience. 8+ years building production software, with solid experience operating distributed systems and running stateful workloads on Kubernetes at scale. A track record of leading the design and delivery of at least one shared, multi-tenant infrastructure service used broadly by other teams — a relational database service (Postgres or similar), a message queue or streaming platform (Kafka, NATS, RabbitMQ, or similar), or a key-value/cache service (Redis/Valkey, etcd, or similar) — including its HA, failover, and operating model. Deep understanding of high availability and failure handling: replication topologies, leader election, quorum and consensus, split-brain avoidance, backup/restore and point-in-time recovery, and designing to explicit RPO/RTO and durability targets. Strong system design skills — you can reason rigorously about consistency models, partitioning and rebalancing, capacity planning, tenant isolation, and noisy-neighbor mitigation, and communicate the trade-offs clearly to engineers and stakeholders. Hands-on experience with at least one major hyperscaler (AWS, Azure, GCP), including its core compute, networking, storage, and IAM primitives. Strong working knowledge of containers and Kubernetes (including stateful primitives: StatefulSets, CSI/persistent storage, PDBs, topology spread), CI/CD and GitOps-based delivery, and infrastructure-as-code. Strong programming skills in Go (or strong systems-language skills with a willingness to work primarily in Go). It also helps if you have: Experience building or extending Kubernetes operators that manage stateful systems (e.g., CloudNativePG, Zalando/Crunchy Postgres operators, Strimzi, Redis/Valkey operators), and opinions on when to adopt versus build. Deep expertise in one of the target systems: Postgres internals (WAL, streaming/logical replication, vacuum, connection pooling with PgBouncer/PgCat, major-version upgrades); Kafka/NATS (partitioning, ISR/replication, exactly-once semantics, consumer scaling); or Redis/Valkey (cluster mode, persistence, eviction, hot-key handling). Experience running data services across multiple regions or clusters — cross-region replication, failover orchestration, and DR testing. Experience with zero-downtime upgrades, schema/data migrations, and fleet-wide rollouts of stateful services. Experience with observability and SLOs for stateful systems — replication lag, saturation, tail latency, error budgets — and with capacity and cost management for shared infrastructure. Experience designing multi-tenancy: quotas, isolation, chargeback/showback, and self-service provisioning APIs or CRDs. Experience with container networking (CNI) and/or service mesh, and with workload identity, mTLS, and secrets management as applied to data services. Experience with managed Kubernetes (EKS/AKS/GKE), managed data services (RDS/Aurora, Cloud SQL, MSK, ElastiCache), and infrastructure-as-code tools such as Terraform or Crossplane. For positions in this location, we offer a base pay of $149,800 - $262,200 , 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.