Software Engineer, Core Infrastructure Moveworks (New Grad)

As a member of the core infrastructure team you will be responsible for architecting the next generation of the Moveworks AI infrastructure. As Moveworks grows fast the infrastructure team is tasked with designing and operating reliable and resilient foundational services as well as frameworks that allow our product to scale seamlessly and our engineering teams to build customer facing features very rapidly.

Were building a team that indexes on moving fast solving challenging product/engineering problems and providing value to our customers. To be successful youll be partnering with machine learning search product data and full stack teams to identify define and build elegant solutions. This is an opportunity to play an integral role at the fastest-growing AI startup in its space.

What youll do:

• Closely work with machine learning search product data and frontend teams understand their infrastructure needs influence infrastructure roadmap and lead as well as execute on various projects
• Build and enhance the core infrastructure and foundational functionalities such as distributed key value store schema-less data store authentication and authorization event streaming distributed configuration management and hot reloading rate limiting and circuit breaking system for feature flags and A/B testing traffic capture and replay etc.
• Improve observability and reliability of Moveworks systems by building and enhancing distributed logging tracing monitoring and alerting infrastructure
• Define methodologies and metrics to measure performance of microservices and product functionalities identify and fix bottlenecks as well as improve overall performance and scalability of Moveworks applications
• Regularly deliver deadline sensitive work that is interdependent with other engineering teams

Qualifications :

• 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 AIs potential impact on the function or industry.
• BS in computer science or a related field
• Strong problem solving skills and programming fundamentals in at least one backend language such as Java Go Python C etc.
• Solid understanding of data structures algorithms and object-oriented design
• Familiarity with building RESTful APIs/services request/response handling error handling and distributed service architecture
• Good understanding of concurrency networking scalability caching messaging containers and cloud platforms
• Experience working with and operating open source technologies like Kafka Elasticsearch or Opensearch Istio etc. is a plus
• High level of curiosity and desire to learn

For positions in this location we offer a base pay of $125700 - $194800 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 :

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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

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Remote Work :

No

Employment Type :

Full-time