• Develop, test and maintain Java backend applications • Write clean, efficient, and well-documented code • Design and implement data models and database schemas • Collaborate with the frontend team to integrate the backend with the user interface • Perform code reviews and ensure code quality standards are met • Troubleshoot and debug applications • Work with the DevOps team to deploy and manage applications in production • Continuously learn and stay up-to-date with new technologies and industry trends

• Sviluppare nuove funzionalità end-to-end, dal frontend al backend • Migliorare e rifattorizzare il codice esistente, con attenzione alla qualità, alla manutenibilità e alle performance • Contribuire all'evoluzione della nostra infrastruttura, rendendola sempre più scalabile e affidabile • Partecipare alle code review, condividendo feedback, idee e best practice con il resto del team • Collaborare quotidianamente con Product, Data, Design, Infra and Technical Support per trasformare problemi complessi in soluzioni

Title: Senior Software Engineer II, Cloud Data Ingestion & Transformation Location: Toronto Job Description: At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU’LL DO We are looking for a Senior Software Engineer II to join our Cloud Data Ingestion & Transformation (CDIT) team. This team is vital to Braze's growth, owning multiple systems that enable customers to quickly and successfully integrate their data with our platform. CDIT focuses on two main product areas. The primary one is Braze’s Cloud Data Ingestion, which allows customers to seamlessly leverage the data in their cloud warehouse in Braze. Our system processes trillions of data points annually and integrates with an ever-growing variety of Braze features. We also own Data Transformation, a platform for customizing the flow of data from external sources into Braze. By increasing the comprehensiveness and ease of use of these systems, the engineer who joins us will have a direct and meaningful impact on our customers' success and the company's growth. WHO YOU ARE - 6+ years of full-stack development experience, with a strong focus on building scalable web applications. While our primary focus is on the back-end, we own our features end-to-end and regularly deliver front-end experiences - Experienced technical leader with a track record of driving architectural decisions and contributing to technical strategy - Strong understanding of design, data structures, and algorithms - A self-starter with great communication and organizational skills who has worked in an agile team environment before - Willingness to learn the technologies required to deliver what customers need Bonus points: - Professional experience building software at scale, handling high volumes of data and traffic - Experienced building automated data pipeline, asynchronous processing, or ETL applications using tools like Kafka, Airflow, Sidekiq, SQS, and RabbitMQ - Professional experience with Python/Django, React, Ruby on Rails, Snowflake, microservice architecture, and distributed systems - Familiarity with modern data warehousing, BI, and analytics - Experience with agile processes - A passion for incrementally delivering high-quality software which delights customers For candidates based in Ontario, the pay range at the start of employment for this position is expected to be between CA$186,838 - CA$299,886/year, with an expected On Target Earnings (OTE) between CA$205,600 - CA$330,000/year (including performance-based or variable compensation (bonus or commission). Your particular offer may vary depending on multiple individual factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here. More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as: - Competitive compensation that may include equity - Retirement and Employee Stock Purchase Plans - Flexible paid time off - Comprehensive benefit plans covering medical, dental, vision, life, and disability - Family services that include fertility benefits and equal paid parental leave - Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend - A curated in-office employee experience, designed to foster community, team connections, and innovation - Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching - Employee Resource Groups that provide supportive communities within Braze - Collaborative, transparent, and fun culture recognized as a Great Place to Work® ABOUT BRAZE Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences. The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo. BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER At Braze, we strive to create equitable growth and opportunities inside and outside the organization. Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you. We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you. OUR AI-POWERED BRAZE RECRUITMENT PROCESS At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process. Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a decision. Please contact us at talentdata.privacy@braze.com for any requests or questions. To find out more about our hiring process, check out this page. Notice Regarding Automated Employment Decision Tool (NYC Local Law 144) Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. A summary of the most recent bias audit results for such tool is available here. Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.

Title: Senior Full-Stack Software Engineer (Global) Location: Bogota, Colombia LOCATION: Worldwide (Remote-first / Hybrid optional) REPORTS-TO: AI Engineer, Lead Job Description: CINC Systems CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly 300 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development. We are modernizing our architecture, product, and engineering culture to build a new generation of AI-enabled, modular, and intelligent SaaS applications. As a Senior Full Stack Engineer, you will play a key role in this transformation. About the Role As a Senior Full Stack Engineer, you will design and deliver modern, scalable applications that connect deeply with our users and form part of a larger AI-native platform. You will work across the stack, from backend services and APIs to responsive web applications and shared components. This role is ideal for an experienced engineer who thrives in a fast-moving, collaborative environment, values craftsmanship, and understands how to evolve large systems safely from monoliths to microservices. You will work closely with product, design, platform, and AI engineering teams to create software that is robust, maintainable, and forward-looking. Key Responsibilities - Design, build, and maintain high-quality web applications using TypeScript, Node.js, and frameworks such as React, Next.js, or NestJS - Contribute to the evolution of CINC’s architecture from monolith to modular microservices, applying sound system design principles and domain-driven thinking - Develop and consume RESTful and GraphQL APIs with strong understanding of service boundaries, contract design, and versioning - Implement event-driven and message-based integrations to improve scalability, resilience, and decoupling - Apply modern engineering practices including automated testing, CI/CD, and continuous delivery principles - Collaborate with design and product partners to translate complex requirements into simple, usable features - Participate in code reviews, pair programming, and iterative delivery following Extreme Programming (XP) values - Contribute to AI-enabled workflows by integrating APIs or shared AI services into user-facing features where appropriate - Mentor and guide engineers on best practices in system design, testing, and clean code - Engage in technical discussions around architecture, reliability, and performance to ensure quality and scalability across systems Qualifications Core Technical Expertise - 7+ years of software engineering experience building production web applications or SaaS products - Deep fluency in TypeScript and JavaScript with frameworks such as React, Next.js, or NestJS - Strong understanding of backend architecture, including monolith decomposition, microservice principles, and API design best practices - Experience designing and maintaining RESTful or GraphQL APIs with clear contracts and documentation - Knowledge of modern DevOps practices including CI/CD pipelines, observability, and containerized deployments - Familiarity with cloud environments such as AWS, GCP, or Azure - Solid experience with automated testing frameworks and test-driven development (TDD) Collaboration and Leadership - Excellent communicator who can clearly explain design choices and technical trade-offs to engineers, product managers, and designers - Demonstrated ability to take ownership of features from idea to deployment, balancing speed with quality - Experienced working in cross-functional teams and contributing to architectural discussions and reviews - Learning-first mindset with curiosity about new frameworks, design patterns, and AI-driven development Nice to Have - Experience integrating AI-powered services such as chatbots, copilots, or search assistants - Familiarity with LLM orchestration frameworks (LangChain, LangGraph, or similar) - Background in event-driven architecture or streaming systems such as Kafka, SNS/SQS, or Pub/Sub - Exposure to vector databases or retrieval-augmented workflows - Experience with infrastructure-as-code and container orchestration (Terraform, Docker) - Previous work in XP or Agile teams practicing pairing, refactoring, and continuous integration Mindset and Values - Builder’s mindset with a bias for simplicity, quality, and customer value - Clear communicator who values collaboration, feedback, and mentorship - Learning-first attitude with interest in emerging technologies and continuous improvement - Pragmatic engineer who can balance short-term delivery with long-term system health What Success Looks Like - Features are delivered quickly, safely, and predictably, with measurable improvements in performance and user satisfaction - Systems evolve from tightly coupled to modular and maintainable architectures - You are recognized as a trusted engineer who raises standards through code, communication, and collaboration - CINC’s full-stack engineering teams move faster with greater clarity and confidence