Sr Staff Software Engineer (JavaGo, Kubernetes)

Workflow Data Fabric (WDF) connects the ServiceNow AI Platform to enterprise data wherever it lives - querying it in place streaming it in real time and ingesting it at scale so workflows and AI agents act on trusted current data. We are looking for a Senior Staff Software Engineer to be a senior technical leader across the WDF platform organization. You will set architecture direction across multiple scrum teams stay hands-on in the code and own the hardest performance scalability and reliability problems across our data-access and data-movement products. Zero Copy Connectors and Remote Process Sync are the anchor areas for this role with cross-team technical leadership spanning Data Fabric Trino-based connectors Stream Connect ETL/Import Sets Analytics Ingestion and data quality.

What Youll Do

• Own end-to-end architecture for Zero Copy Connectors: the federated query path from the ServiceNow platform through a Trino-based query engine to external warehouses and lakehouses (e.g. Snowflake Databricks BigQuery Redshift Oracle Iceberg) including pushdown connection pooling caching authentication and connector-framework extensibility as the connector portfolio scales.
• Own the technical direction of Remote Process Sync our instance-to-instance process synchronization framework driving throughput parallel processing ordering guarantees resiliency and supportability for high-volume customer and product integrations.
• Drive the architecture of Private Connectivity (Reverse Tunnel) which gives the platform secure outbound-initiated access to customer data sources behind firewalls. The work covers mTLS tunneling SNI-based routing stream multiplexing and the scale resiliency and security needed for enterprise and regulated customers.
• Provide cross-team technical leadership across the WDF portfolio Data Fabric tables Trino data connectors Stream Connect (Kafka) ETL and Import Sets analytics ingestion pipelines and native data quality ensuring coherent designs shared frameworks and consistent security and governance patterns. 
• Lead architecture and design reviews; write and approve technical specifications; make and document build-vs-buy protocol and platform trade-offs with long-term maintainability in mind.
• Write production code in critical paths prototype new approaches and review code across teams to raise the engineering bar.
• Define and drive performance and scalability strategy: benchmarks capacity models and end-to-end performance validation for query sync streaming and ingestion workloads before release.
• Serve as the senior technical escalation point for complex production and customer issues; drive root-cause analysis and turn recurring issues into durable platform fixes observability and runbooks. 
• Partner with Product Management Engineering Managers Quality Engineering Support and adjacent platform teams (query engine security cloud infrastructure) to shape roadmaps sequence technical investments and de-risk delivery commitments.
• Mentor and grow senior and staff engineers; build technical depth and knowledge continuity so that critical areas are never dependent on a single person.

Qualifications :

Required Qualifications

• 12 years of professional software engineering experience including significant time building and operating large-scale distributed systems or data platforms.
• Deep expertise in distributed systems and data platform fundamentals such as query processing data integration/replication change data capture streaming or batch pipelines concurrency consistency and fault tolerance.
• Experience with Kubernetes-based services multi-tenant SaaS architecture and data security/governance (ACLs encryption data residency).
• Demonstrated track record of leading architecture across multiple teams and delivering complex cross-functional platform initiatives end to end.
• Strong hands-on coding ability in at least one systems language (e.g. Java C Go Scala or similar) with a continued practice of writing and reviewing production code.
• Proven experience diagnosing and solving performance and scalability problems in production systems using profiling benchmarking and observability data.
• Ability to influence without authority aligning engineers managers product and partner teams around technical direction through clear written and verbal communication.
• Bachelors degree in Computer Science or a related field or equivalent practical experience.

Preferred Qualifications

• Experience with Trino internals connector SPI or other federated/distributed SQL query engines.
• Experience with lakehouse and big-data technologies such as Apache Iceberg Apache Polaris or other Iceberg REST catalogs Spark or Delta Lake.
• Experience with Kafka or other event-streaming platforms CDC or message-driven integration frameworks.
• Hands-on experience with cloud data warehouses and lakehouses (e.g. Snowflake Databricks BigQuery Redshift) and their JDBC/REST access patterns and authentication models (e.g. OAuth).
• Experience with the ServiceNow platform (Glide) IntegrationHub or Flow Designer.
• Hands-on experience owning customer escalations or high-severity production incidents for enterprise software.
• Familiarity with data quality data observability or AI-assisted data transformation.
• Open-source contributions patents publications

For positions in this location we offer a base pay of $171900 - $300800 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.

Additional Information :

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 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 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. 

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Remote Work :

No

Employment Type :

Full-time