Senior Staff Software Engineer, Integrations (Tech Lead) — Veza at ServiceNow

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jul, 26

Salary

334100.0

Posted On

14 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, Java, RESTful APIs, Microservices, Data modeling, Identity security, Cloud platforms, SQL, NoSQL, Distributed systems, AI/ML models, System architecture, Technical leadership, Mentorship, Scalability, Integration design

Industry

Software Development

Description

Company Description Veza is the pioneer in identity security, purpose-built to answer the fundamental question enterprises face: who can and should take what action on what data. Veza's Access Graph platform maps an organization's entire identity ecosystem across users, groups, roles, policies, permissions, and resources providing deep visibility and control over human, non-human, and agentic identities across SaaS, cloud, on-prem, and custom applications. With over 30 billion access permissions under management, global enterprises including Blackstone, Expedia, and Wynn Resorts trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance. Founded in 2020 and headquartered in Redwood City, California, Veza is now part of the ServiceNow family, with the acquisition closing in March 2026. The combination brings together Veza's AI-native Access Graph with ServiceNow's AI Control Tower and agentic workflows, enabling organizations to enforce end-to-end identity security rooted in the principle of least privilege across applications, data, cloud environments, and AI agents. For engineers joining Veza today, this means the scale and resources of an enterprise platform company, with the product velocity and mission-driven focus of a security innovator at a pivotal moment in the industry. Job Description We are looking for a passionate Senior Staff (Tech Lead) Software Engineer who will play a key role in designing, developing, and maintaining product features of our IAM platform for our Integrations. You will collaborate closely with cross-functional teams to implement robust and scalable solutions that meet the evolving needs of our customers. The Integrations team builds the services which ingest data from external integrations (e.g. AWS, Okta) into the Veza platform, enabling Veza's suite of next-gen features across our wide and growing array of supported integrations. You will be exposed to a breadth of software products and have the opportunity to dig deep into large and complex data systems as you determine an efficient, yet comprehensive way to represent each integration's unique access relationships in Veza's data model. You will also drive the scalable way of adding integrations leveraging the latest AI/ML models. Veza can only do what its integrations enable; you will work closely with all other engineering teams as you enable them to consume your integrations' data and provide advanced tools to allow our customers to easily manage their entire Enterprise ecosystem. What you will do Design, develop, and build integrations with services like AWS, GCP, Azure and resources like Box, Hashicorp, Databricks. These integrations have to be built ensuring high performance, scalability, and reliability. Lead a team of backend software engineers, providing mentorship and guidance to help them grow their skills and expertise. Drive the technical direction for assigned projects,defining architecture, design patterns, best practices and leveraging the latest AI/ML models for integrations. Partner with Product, Solutions Engineering, Support, and customers to translate requirements into connector designs and prioritize the integration roadmap. Qualifications To be successful in this role you have: 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. Typically requires a minimum of 12 years of related experience; or an advanced degree with 8 years in backend software development, with a focus on data modeling, management, identity, security, or related areas. Strong proficiency in one or more programming languages, such as Golang, Java. Experience designing and implementing RESTful APIs and microservices architectures. Experience in optimization, building of databases, storage layers, or distributed systems. Experience with building pluggable modular software that allows code decouplings. Experience with cloud platforms, such as AWS, Azure, or Google Cloud Platform. Knowledge of database technologies (SQL and NoSQL), caching mechanisms, and distributed systems. Excellent problem-solving skills, attention to detail, and ability to work independently and collaboratively in a fast-paced environment. Strong communication and interpersonal skills, with the ability to effectively communicate technical concepts to both technical and non-technical stakeholders. For positions in this location, we offer a base pay of $190,900 - $334,100, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. 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, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license. Employee Type: Regular Region: AMS - North America and Canada Work Persona: Flexible or Remote

Responsibilities

You will lead a team of backend engineers to design and develop scalable integrations for the Veza identity security platform. This role involves defining technical architecture, leveraging AI/ML models, and collaborating with cross-functional teams to ensure high-performance data ingestion.