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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.

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.

We are the AI Control Tower Team and we are looking for a full stack engineer to help join a dynamic environment. We are responsible for the AI Control Tower application and so this individual will support us by building/upgrading applications as well as on the platform. Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Partner with developers and product owners to understand requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Help design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs. Help design and implement new products and features while also enhancing the existing product suite To be successful in this role: Passionate about learning and applying AI to solve Developer needs Passion for writing code in Java and leveraging the web as a platform, with a strong focus on reusability and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) 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. 2-5 years proficiency in Java, Javascript Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. Basic knowledge of relational databases and SQL Familiarity with RESTful APIs and modern web services Understanding of AI/ML concepts; hands-on experience with LLMs or AI APIs a plus This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Experience In using AI Productivity tools such as Claude, Windsurf, Cursor, etc is a plus or nice to have. For positions in this location, we offer a base pay of $125,700 - $194,800 , 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.

AI Solution Consultant Armis is seeking talented, motivated AI builders to join our Strategic Initiatives team as part of a new AI Center of Excellence. Reporting to the SVP of Strategic Initiatives, this team designs and ships AI-native solutions — agents, assistants, and reusable skills — that advance Armis's security mission and multiply the impact of teams across the company. This is a builder role. We're looking for engineers fluent in modern AI application development — agent frameworks, harnesses, tool use, prompting, retrieval, and evaluation — not machine learning engineers. You will be expected to train foundation models / frontier models . You will compose capable, production-grade AI systems on top of frontier models, get them into people's hands, and bring the rigor to prove they actually work. What you'll do Design, build, and bring to production ready: models, AI agents, assistants, and reusable skills that solve real problems for Armis and its customers. Turn ideas into working MVPs fast, then partner with engineering to harden them into reliable, production-ready systems. Build evaluation into everything you ship — define what "good" means for each solution, measure it, and hold the bar. Due diligence through rigorous evals is non-negotiable, not an afterthought. Compose agentic workflows that are secure by construction, using secure harnesses along with appropriate isolation, guardrails, and controls. Select and integrate the right frameworks, tools, and models for each job, and turn what works into reusable patterns and best practices for the COE. Also be a part of the COE Consult team to help across the organization. Document what you build and how it should be used, operated, and evaluated. Qualifications An AI Expert in Multi-agentic solutions. Demonstrated experience building real AI solutions — agents, assistants, copilots, or skills — that shipped and got used, not just prototyped. Deep, hands-on familiarity with modern agent frameworks and developer tooling (agent SDKs such as the Top 3 providers SDKs (Claude, OpenA and Google), thorough understanding and use of SKILL.md skills standard, plus the judgment to know which to reach for when. Strong evaluation discipline: building test sets, defining metrics, and measuring quality, safety, and reliability before and after deployment. Proficiency in Python and comfort integrating APIs, tools, and cloud services (AWS, Azure, or GCP) with containerization (Docker, Kubernetes). Bachelor's or Master's in Computer Science, Engineering, or a related field, or equivalent professional experience. Preferred Experience in security, or building AI for security use cases 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. Have run NPS at a company where the number was reported externally or to a board, with the scrutiny that brings Know the difference between a journey map that generated consensus and one that generated decisions Have worked across both product and post-sale organizations and can speak either language 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.