The Software Asset Management product empowers organizations to manage software licensing and compliance with precision. Engineers build performance-efficient algorithms to help customers achieve the most accurate licensing position.
Compensation
base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
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 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
Design and build features across Customer service workflows, owning complex components end to end and driving AI-enabled customer experiences on the ServiceNow platform.
Compensation
For positions in this location, we offer a base pay of $143,200 - $243,400, plus equity (when applicable), variable/incentive compensation and benefits.
Responsibilities
Build high-quality, scalable, clean, and reusable applications and integration solutions using ServiceNow platform and related technologies
Partner with product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability
Own critical technical initiatives from planning to deployment, continuously refining and improving existing applications and services
Explore the latest ServiceNow features and evaluate them for adoption
Requirements
Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience
Nice to have: AI coding tools such as Claude or Codex
Lead the design, governance, and adoption of AI-powered business solutions across the enterprise.
Responsibilities
Define and govern enterprise AI, automation, analytics, and agent-based architectures aligned with business transformation goals.
Design and deliver intelligent workflows that integrate AI agents, automation platforms, and enterprise data systems.
Evaluate and guide adoption of AI technologies including Copilot Studio, Copilot Agents, Claude, UiPath AI, Snowflake Cortex, and related platforms.
Establish reusable frameworks, governance standards, and guidelines for AI development, citizen developers, and the CBO Agent Marketplace.
Mentor global engineering teams and partner with IT, Security, Enterprise Architecture, and Data teams to deliver secure, scalable AI solutions.
Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related technical field, or equivalent practical experience.
Nice to have: Master's degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Information Systems, or a related field.
Nice to have: Hands-on experience with automation platforms such as UiPath or similar intelligent automation technologies.
Nice to have: Experience with AI platforms and technologies including Copilot Studio, AI agents, Snowflake Cortex, or similar enterprise AI solutions.
Lead the DevSecOps Engineering team as a Technical Security Product Owner, prioritizing backlog, driving security outcomes, and delivering internal cybersecurity tooling for the developer community.
Senior Full-Stack Software Engineer responsible for designing and building scalable, secure, and user‑centric applications for Versant’s next‑generation platforms.
Locations (2)
New York City, New York, United States
Englewood Cliffs, New Jersey, United States
Responsibilities
Collaborate with cross‑functional teams from ideation to launch
Design and build scalable, fault‑tolerant microservices and modern front‑end applications
Leverage SaaS, low‑code/no‑code platforms to accelerate delivery
Participate in code reviews, pair programming, and knowledge‑sharing sessions
Mentor junior engineers and contribute to a culture of continuous learning and improvement
Design, develop, and maintain backend services and full-stack applications using Java, Spring Boot, Spring Cloud, TypeScript, and JavaScript, while leveraging AWS infrastructure and AI-assisted development tools.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Executes software solutions, design, development, and technical troubleshooting
Design, develop, and maintain backend services, agentic workflows using TypeScript and APIs using Java, and Spring Boot
Implement micro-services architecture leveraging Spring Cloud for service discovery, configuration, and resilience
Containerize and deploy applications on AWS using services such as ECS, EKS, Lambda, or EC2
Implement and maintain AWS infrastructure using Infrastructure as Code (IaC)
Requirements
Nice to have: Agent2UI
Nice to have: A2A protocol
Nice to have: Python programming
Nice to have: Troubleshooting in multi-agent environments
Lead role responsible for maintaining critical data pipelines, data models, and application infrastructure using Snowflake, Python and AWS.
Compensation
Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity
Responsibilities
Building and maintaining Python-based ETL pipelines and data transformations sourcing from cloud data platforms
Owning the deployment and release pipeline for cloud-hosted web applications including CI/CD onboarding and repository management
Designing and maintaining SQL views and data models powering executive-facing dashboards and LOB reporting
Building lightweight HTML/JavaScript front-ends served through Python web frameworks
Serving as Application Owner responsible for compliance posture and platform health
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