Platform Engineer - ServiceNow (Global Role)

Atos is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.

With more than 54,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.

A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.

About Atos Group

Atos Group is a global leader in digital transformation with c. 56,000 employees and annual revenue of c. €7.2 billion (at the go-forward perimeter), operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.

Job Title Servicenow Platform Engineer

Job Location Philippines

Work timing US Timezone

Job Type Remote

Platform Engineer - ServiceNow

Role Summary

We are looking for an experienced ServiceNow Platform Engineer who will design, build, integrate, secure, optimize, and support the ServiceNow AI Platform. The role will provide hands-on engineering expertise across platform configuration, enterprise integration, intelligent automation, security, performance, release management, and technical governance.

In this global role, you will design and deliver next-generation AI-powered solutions, intelligent workflows, and reusable accelerators that strengthen our ServiceNow portfolio and help shape the future of digital transformation.

You will work closely with architects, product leaders, engineering teams, and business stakeholders across regions to build scalable platform capabilities, develop differentiated intellectual property, and accelerate the adoption of AI-driven automation. This role is ideal for someone who combines deep ServiceNow expertise with a passion for emerging AI technologies and enterprise-scale innovation.

The successful candidate must have proven experience engineering ServiceNow in complex enterprise environments, with particular depth in Workflow Data Fabric (WDF), Integration Hub, Workflow Studio, REST and SOAP services, MID Server connectivity, and integration architecture. The candidate must also understand conversational AI and the integration of ServiceNow workflows with physical AI environments, including robotics, autonomous systems, operational technology, Internet of Things devices, sensors, and connected assets.

The candidate must work effectively with Solution and Technical Architects, platform owners, cybersecurity teams, integration teams, data teams, AI specialists, developers, operations teams, vendors, and senior customer stakeholders.

Key Responsibilities

Platform Engineering

• Engineer, configure, enhance, and support ServiceNow platform capabilities across development, test, and production environments.
• Build reusable platform services using scoped applications, App Engine, Flow Designer, Workflow Studio, business rules, Script Includes, scheduled jobs, events, notifications, UI policies, client scripts, and platform APIs.
• Apply ServiceNow development standards, object-oriented JavaScript, Glide APIs, configuration-first principles, and upgrade-safe design practices.
• Provide detailed technical design input to Solution, Technical, Security, Data, Integration, and AI Architects, including estimates, dependencies, constraints, and implementation options.

Integration and Workflow Data Fabric

• Design and implement integrations using Workflow Data Fabric, Integration Hub, Workflow Studio, prebuilt spokes, custom spokes, actions, subflows, data fabric tables, and external data connectors.
• Develop inbound and outbound integrations using REST, SOAP, Scripted REST APIs, web services, webhooks, JDBC, SFTP, LDAP, email, file transfer, message queues, and event-driven patterns.
• Configure MID Servers, connection and credential aliases, IntegrationHub ETL, import sets, transform maps, data sources, coalescing, reconciliation, and scheduled ingestion processes.
• Define canonical data models, mappings, validation, normalization, correlation, pagination, throttling, retry, idempotency, exception handling, reconciliation, and monitoring requirements.
• Implement secure authentication using OAuth 2.0, mutual TLS, certificates, JWTs, API keys, and managed credentials, avoiding embedded secrets and shared privileged accounts.
• Produce interface specifications, sequence diagrams, mapping documents, support procedures, operational dashboards, error queues, and integration runbooks.

AI and Intelligent Automation

• Configure and support conversational AI using Virtual Agent, Now Assist, AI Search, natural-language capabilities, AI agents, AI Agent Studio, Assistant Designer, and conversational integrations.
• Develop governed agentic workflows that retrieve context, invoke approved tools, update records, initiate workflows, and interact with enterprise systems through secure integrations.
• Integrate ServiceNow with physical AI and connected environments, including robotics, autonomous devices, OT, IoT, sensors, digital control platforms, and asset-management systems.
• Design physical-AI workflows that ingest telemetry and state, generate events and work, invoke authorized commands, and preserve human approval, safety, auditability, and fail-safe behavior.
• Apply AI governance controls covering model and tool access, data grounding, prompt and configuration management, testing, observability, output validation, privacy, and protection against data leakage or prompt-based attacks.

Platform Security

• Design and maintain roles, groups, access-control rules, security attributes, user criteria, scoped-application boundaries, and segregation-of-duties controls.
• Apply least-privilege and need-to-know principles to users, integration accounts, service accounts, AI agents, APIs, MID Servers, and administrative capabilities.
• Support single sign-on, multifactor authentication, OAuth, certificate management, encryption, data classification, secure credential storage, audit logging, and security monitoring.
• Harden integrations and MID Server connectivity through network segmentation, restricted egress, proxy controls, certificate validation, credential rotation, monitored service accounts, and controlled command execution.
• Use Security Center, Access Analyzer, platform logs, audit history, and enterprise security tooling to identify insecure configurations and support remediation.
• Perform secure code and configuration reviews, identify excessive access, insecure scripting, exposed secrets, weak authentication, and unsafe data-handling practices, and implement corrective action.

Performance, Optimization, and Technical Debt

• Monitor and optimize platform performance, availability, scalability, usability, manageability, and upgradeability.
• Analyze slow transactions, inefficient queries, missing indexes, synchronous processing, large data volumes, event storms, integration backlogs, scheduled jobs, flow execution, table growth, and excessive logging.
• Optimize scripts, business rules, flows, integrations, APIs, reporting, archiving, retention, and data-loading patterns without compromising functional or security requirements.
• Use HealthScan, Instance Scan, performance analytics, system diagnostics, transaction logs, and platform health data to identify defects, technical debt, and improvement opportunities.
• Define optimization backlogs, remediation priorities, success measures, and technical-debt controls, and verify that corrective actions deliver measurable improvement.
• Assess new ServiceNow releases, Store applications, patches, and platform capabilities, and recommend adoption, remediation, or retirement actions.

DevOps, Testing, and Release Engineering

• Support source control, application repositories, update sets, CI/CD pipelines, deployment automation, code review, branching, environment promotion, and release governance.
• Develop unit, integration, regression, security, performance, and user acceptance test assets, using Automated Test Framework where appropriate.
• Implement integration test harnesses, mocks, controlled test data, negative testing, retry testing, rate-limit testing, and failure-recovery scenarios.
• Support clones, upgrades, patching, instance configuration, release validation, rollback planning, production deployment, hypercare, and operational handover.
• Maintain technical documentation, configuration records, code comments, deployment evidence, support procedures, and knowledge-transfer materials.

Architecture, Governance, and Collaboration

• Lead or support technical workshops, integration discovery, platform assessments, design reviews, security reviews, and optimization sessions.
• Translate business and architectural requirements into implementable technical designs, user stories, acceptance criteria, data requirements, and non-functional requirements.
• Challenge designs that create unnecessary customization, duplicated integration logic, insecure access, tight coupling, poor performance, unsupported technology, or avoidable upgrade risk.
• Work with customer and supplier teams to resolve cross-system defects, clarify ownership, manage dependencies, and coordinate end-to-end testing and deployment.
• Provide technical guidance to developers, administrators, integration engineers, and support teams, and contribute reusable standards, templates, accelerators, and engineering patterns.
• Support pre-sales activities, including discovery, solution shaping, demonstrations, estimates, proposals, statements of work, and technical presentations.

Mandatory Qualifications And Experience

• Current ServiceNow Certified System Administrator certification.
• Current ServiceNow Certified Application Developer certification, or equivalent demonstrable application-engineering expertise.
• ServiceNow Certified Technical Architect (CTA) – highly preferred
• Excellent soft skills – executive communication (written/verbal), adaptability, problem solving, teamwork, relationship building, dependability, and organization
• At least 3 x Certified Implementation Specialist certificates
• Extensive hands-on experience architecting and delivering ServiceNow solutions
• Proven success leading technically complex implementations
• Ability to lead technical discussions confidently with customers and stakeholders
• Prior consulting experience
• Experience leading teams and supervising others
• Proven experience engineering and supporting ServiceNow in complex enterprise environments.
• Advanced experience with Workflow Data Fabric, Integration Hub, Workflow Studio, Flow Designer, MID Server, REST, SOAP, Scripted REST APIs, import sets, transform maps, and custom integration development.
• Strong JavaScript, Glide API, data-model, security, debugging, and performance-analysis skills.
• Experience implementing secure authentication, credential management, API security, role-based access, encryption, and integration monitoring.
• Experience configuring or integrating conversational AI, AI agents, generative AI capabilities, or intelligent automation on ServiceNow.
• Experience integrating enterprise workflows with OT, IoT, robotics, autonomous systems, connected assets, or similar physical-AI environments is strongly preferred.

Expected Experience

• Eight or more years of relevant platform engineering, enterprise integration, application development, or automation experience.
• Five or more years of hands-on ServiceNow platform experience.
• Three or more years designing and delivering complex ServiceNow integrations and platform-engineering solutions.
• Experience delivering at least two substantial end-to-end ServiceNow implementations or major platform-transformation programs.
• Experience in large, regulated, multinational, government, financial services, healthcare, energy, utilities, telecommunications, manufacturing, or similarly complex organizations.

Technical Knowledge

• Workflow Data Fabric, Integration Hub, Workflow Studio, Flow Designer, custom spokes, actions, subflows, and orchestration patterns.
• REST, SOAP, webhooks, Scripted REST APIs, JDBC, SFTP, LDAP, event-driven integration, message brokers, and integration observability.
• MID Server design, clustering, upgrades, security, network connectivity, proxies, certificates, and high-availability considerations.
• JavaScript, Glide APIs, scoped applications, App Engine, data modeling, CSDM, CMDB, import sets, transform maps, and reconciliation.
• Virtual Agent, Now Assist, AI Search, AI agents, conversational design, AI governance, and agentic workflow controls.
• Integration patterns for OT, IoT, robotics, autonomous systems, telemetry, events, commands, digital assets, and physical-AI platforms.
• ACLs, roles, groups, security attributes, OAuth, mutual TLS, SSO, MFA, encryption, credentials, audit, Security Center, and secure coding.
• HealthScan, Instance Scan, performance diagnostics, Automated Test Framework, CI/CD, upgrades, release management, and technical-debt remediation.

Preferred Qualifications

• ServiceNow credentials or micro-certifications relevant to Integration Hub, Application Development, Flow Designer, Automated Test Framework, Virtual Agent, Now Assist, AI agents, Security, CMDB, or Performance Analytics.
• Experience with cloud integration services, API gateways, enterprise service buses, event-streaming platforms, integration-platform-as-a-service technologies, or robotic process automation.
• Professional qualifications in integration architecture, cloud engineering, cybersecurity, DevOps, data engineering, or artificial intelligence.

Professional Competencies

• Strong analytical, diagnostic, engineering, documentation, and structured problem-solving skills.
• Ability to communicate risks, constraints, dependencies, and recommendations clearly and objectively.
• Ability to work independently, manage competing priorities, mentor colleagues, and collaborate across distributed, multicultural, and multidisciplinary teams.
• High standards of professionalism, security awareness, integrity, accountability, and continuous improvement.

Working Arrangements

The role will be primarily remote, although on-site working may be required depending on customer and project needs. The candidate must be willing to participate in workshops, governance meetings, critical deployments, incident support, and delivery activities across global time zones.

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