• Design, build, and deliver features in Toast’s enterprise management products • Ensure quality by building automated testing for changes • Roll * features out to customers, including monitoring for success • Collaborate with UX and PM on the definition and design of features • Partner with a wide array of teams across Toast • Work with experienced engineers to deliver design and code review

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization. We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have - 2+ years of engineering experience in backend systems, distributed systems, or core platform development - Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning - Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium - Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) - Exposure to client-side technologies such as JavaScript and React is a plus - Good understanding of algorithms, data structures and their time and space complexity - Curiosity, a positive attitude, and a drive to continue learning - Excellent verbal and written communication skills Nice to Have - Familiarity with cloud-native distributed systems (e.g., Kubernetes) - Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL - Contributions to relevant open-source projects Position Expectations - Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform - Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap - Work to develop robust and efficient backend services that orchestrate AI functionalities - Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration - Participate actively in code reviews to enforce best practices and patterns - Help troubleshoot and resolve complex technical issues in our distributed systems - Give and solicit feedback on technical design documents and pull requests - Perform tasks related to process such as CI/CD, quality, testing, etc Success MeasuresWithin the first three months, you will have: - Familiarize yourself with the MongoDB database and aggregation language - Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka - Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks - Started collaborating with your peers and contributed to code reviews Within six months, you will have: - Familiarised yourself with the rest of our the application modernization tool stack - Delivered at least one large scale feature that spans the entire tech stack - Reviewed and contributed to scope and technical design documents Within 12 months, you will have: - Become a key contributor to our backend stack, capable of taking on complex features independently - Helped recruit and interview new members of the team - Collaborated effectively with other teams at MongoDB on cross-functional projects About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. REQ ID: 425547 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, 401(k) plan, mental health counseling, access to transgender-inclusive health insurance coverage, and health benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to U.S.-based candidates. MongoDB’s base salary range for this role in the U.S. is: $109,000—$215,000 USD

MongoDB is building a world-class team in North America to create tooling that helps customers modernize their applications and migrate their data from legacy relational databases to MongoDB in real-time. As companies modernise legacy workloads and data ecosystems, they are increasingly drawn to the flexibility and scalability of the document model. The tools developed by the Code Generation and Data Migration team are critical in this journey, helping customers with schema modeling, code generation, initial data loads, and continuous data synchronization. We're looking for a Senior Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and data-intensive applications to join our engineering team. In this role, you will be instrumental in designing, building, and optimizing the underlying data structures, algorithms, and database interactions that power our generative AI platform, code generation and migration tools. This involves crafting sophisticated orchestration layers, robust integration points, and high-performance data systems that seamlessly connect and leverage advanced AI capabilities for code generation and building a sophisticated data migration suite using a modern technology stack, which includes Java, Spring Boot, Kafka, Debezium, and React.You will work on critical components that ensure the scalability, efficiency, and reliability of our services, collaborating closely with AI researchers, product management and other engineers to design and implement cutting-edge products that solve complex customer challenges. This role will be based out of North America in the PST and MST zones only. The ideal candidate for this role will have - 2+ years of engineering experience in backend systems, distributed systems, or core platform development - Experience in one or several of Java, Rust, C/C++, and/or Python, with a strong understanding of systems-level programming, memory management, and performance tuning - Experience with streaming data platforms such as Apache Kafka and Change Data Capture (CDC) tools like Debezium - Experience with relational data modeling and hands-on experience with at least one SQL database (Postgres, MySQL, etc) - Exposure to client-side technologies such as JavaScript and React is a plus - Good understanding of algorithms, data structures and their time and space complexity - Curiosity, a positive attitude, and a drive to continue learning - Excellent verbal and written communication skills Nice to Have - Familiarity with cloud-native distributed systems (e.g., Kubernetes) - Experience with NoSQL databases and understanding of their trade-offs is great, but not required. We'll teach you NoSQL - Contributions to relevant open-source projects Position Expectations - Contribute high-quality, well-tested backend code to the data migration engine and core components of our generative AI orchestration platform - Collaborate effectively with Product Management, AI researchers and machine learning engineers and designers to build and deliver on the product roadmap - Work to develop robust and efficient backend services that orchestrate AI functionalities - Identify and address performance bottlenecks and architectural challenges in our systems, particularly within data flow and orchestration - Participate actively in code reviews to enforce best practices and patterns - Help troubleshoot and resolve complex technical issues in our distributed systems - Give and solicit feedback on technical design documents and pull requests - Perform tasks related to process such as CI/CD, quality, testing, etc Success MeasuresWithin the first three months, you will have: - Familiarize yourself with the MongoDB database and aggregation language - Familiarize yourself with the backend tech stack including Java, Spring Boot, and Kafka - Set up software development infrastructure (tech stack, build tools, etc) to enable development using the relevant tech stacks - Started collaborating with your peers and contributed to code reviews Within six months, you will have: - Familiarised yourself with the rest of our the application modernization tool stack - Delivered at least one large scale feature that spans the entire tech stack - Reviewed and contributed to scope and technical design documents Within 12 months, you will have: - Become a key contributor to our backend stack, capable of taking on complex features independently - Helped recruit and interview new members of the team - Collaborated effectively with other teams at MongoDB on cross-functional projects About MongoDBMongoDB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. MongoDB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, MongoDB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure. With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on MongoDB for their most important applications, we’re powering the next era of software. Our compass at MongoDB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us MongoDB. To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at MongoDB, and help us make an impact on the world! MongoDB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter. MongoDB is an equal opportunities employer. REQ ID: 425547 MongoDB’s base salary range for this role is posted below. Compensation at the time of offer is unique to each candidate and based on a variety of factors such as skill set, experience, qualifications, and work location. Salary is one part of MongoDB’s total compensation and benefits package. Other benefits for eligible employees may include: equity, participation in the employee stock purchase program, flexible paid time off, 20 weeks fully-paid gender-neutral parental leave, fertility and adoption assistance, Registered Retirement Savings Plan (RRSP) with employer match, mental health counseling, backup child and elder care, and health, dental, and vision benefits offerings. Please note, the base salary range listed below and the benefits in this paragraph are only applicable to candidates based in Canada. MongoDB’s base salary range for this role in Canada is: $108,000—$149,000 CAD

Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description About the team: We are a strategic innovation group focused on building intelligent, conversational experiences that transform how users interact with enterprise systems. The team is responsible for delivering AI-powered search and agentic workflows that enhance productivity, streamline operations, and improve user satisfaction across IT, HR, and customer service domains. What you get to do in this role: - Design and develop conversational AI agents that guide users through complex workflows like change management, onboarding, and incident triage. - Build intelligent search capabilities using LLMs to deliver context-aware results. - Contribute to agentic systems that automate browser and voice-based tasks without APIs. - Collaborate with cross-functional teams to deliver scalable, secure, and high-performance AI solutions. - Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) - Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. - Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs - Contribute to the design and implementation of new products and features while also enhancing the existing product suite - Be a mentor for colleagues and help promote knowledge-sharing 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. - Passion for software development, problem solving, coaching and mentoring other software engineers - High energy and an aptitude for learning new technologies - 10+ years of experience in designing & implementing user experience and server-side application frameworks - Exceptional Java and JavaScript skills - Deep knowledge and experience with declarative meta-data driven frameworks for enterprise applications - Deep knowledge of AJAX, JSON, HTML, XML, CSS, REST and associated technologies - Knowledge of web user interface unit testing, profiling, and code tuning - Exceptional problem- solving skills - Self-starter with a quick learning curve - Strong written and verbal communication - Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines - Understanding software quality principles including reliability, observability, and production readiness. - Ability to troubleshoot complex systems and optimize performance across the stack. - Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems JV21 For positions in this location, we offer a base pay of $217,500 - $380,700, 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 globaltalentss@servicenow.com 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.