Title: Full-Stack Software Engineer - GDS Location: Malmö Sweden Job Description: About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. The Role Neo4j is the leader in graph analytics, and our cloud platform is at the heart of powering data-driven innovation for thousands of users worldwide. We are on the lookout for versatile Full-Stack Engineers to help us design and build exceptional features that lower the bar for users to perform graph analytics. In this role, you will own the user-facing surface of those products. You'll help new users get to value quickly by reducing friction in their first workflows, and make our internal tooling effective enough that the rest of the team can support and operate the service confidently. You will work closely with our internal design system at neo4j.design, and collaborate across product, design, backend, and SRE to ship cohesive, end-to-end experiences. This is a mid-to-senior role at the intersection of product UX, graph analytics, and cloud data platforms. What We Value We’re looking for engineers with experience in both frontend and backend development. You should have experience designing APIs, implementing data persistence, and integrating with third-party services. Familiarity with automated testing approaches, from unit testing to full-stack integration tests, is important. A willingness to learn, grow, and tackle new challenges as part of a distributed and collaborative team is essential. What You'll Do As a Software Engineer, you’ll play a key role in delivering impactful features that enhance how users interact with Neo4j Aura graph analytics. You’ll work on everything from user-friendly interfaces to robust back-end systems, ensuring our solutions are scalable, reliable, and adaptable to diverse user needs. - Build and evolve the Aura Graph Analytics user experience inside the Neo4j Aura console. - Develop and maintain the in-app GUI for the Neo4j Graph Analytics App for Snowflake, an application that guides users through a multi-step workflow: selecting Snowflake data, projecting them as graphs, configuring and running algorithms, and writing back. - Design the graph-projection and algorithm-configuration UX for users who are not graph experts: clear workflow steps, sensible defaults, validation, and interactive previews of sampled graphs. - Improve the internal support tooling used to inspect the state of Aura Graph Analytics deployments and diagnose customer issues. - Use our shared design system (neo4j.design) so our products feel like one family. - Partner closely with product, design, backend, and SRE to ship cohesive end-to-end experiences across team boundaries. What You'll Bring - Experience building and shipping production-quality software. - Strong TypeScript / JavaScript skills and significant frontend experience in production codebases. - Solid experience with React and modern frontend tooling (such as Tailwind). - Comfort collaborating with designers in Figma (or similar tools) and translating designs into accessible, responsive UI. - A user-centric mindset and a genuine interest in product UX, not just shipping components. - Experience creating API services in Golang, Java or Python Bonus Points - Experience working with Spotify’s Backstage framework. - Familiarity with graph data, graph algorithms, or data-science workflows. - Experience with Python-based UI tooling such as Streamlit and AnyWidget. - Experience with Snowflake, Snowpark, and building UIs that run inside a Snowflake Native App. #LI-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. - Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. - Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. - 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. - Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. - Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. - A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications.

Senior Full Stack Engineer Location: Framingham, Boston MA US Description Sincere is looking for a Senior Full Stack Engineer to help us make our products meaningfully better. This is a high-ownership individual contributor role for a seasoned engineer who can take a broad product area, understand the customer and business needs, and ship high-quality improvements. You will: - Build full-stack features across Ruby on Rails and Next.js - Own product initiatives end-to-end, from identifying opportunities and shaping solutions through implementation, launch, and iteration. - Partner with product/project managers and designers to identify customer pain points, uncover product opportunities, and deliver meaningful improvements. - Use tools like Claude Code and Codex as a core part of your workflow to explore, develop, test, and ship - Make practical technical decisions that balance speed, quality, maintainability, performance, and customer impact - Build polished, reliable, easy-to-use experiences with strong attention to UX - Use tools like Datadog and Mixpanel to monitor production behavior, investigate issues, and inform product decisions - Champion new ideas and continuously look for ways to improve our products, engineering practices, and customer experience. You are: - A seasoned full-stack engineer with 7+ years of professional software development experience - Comfortable working across our stack, including Ruby on Rails, TypeScript, React, Next.js, MySQL/Postgres, Redis, MongoDB, Sidekiq, OpenSearch, AWS, and Docker - Fluent with AI-assisted development tools such as Claude Code or Codex - Proven at building and maintaining large-scale customer-facing web applications - Product-minded, with strong instincts for customer needs, UX quality, business value, and technical tradeoffs - A self-starter who brings structure to loosely defined problems and drives them through execution - A strong partner to DevOps, with enough understanding of system architecture, cloud infrastructure (AWS), deployment, containerization, and infrastructure-as-code (Terraform) to collaborate effectively - Skilled at working in mature codebases, understanding existing architecture, and improving systems pragmatically - Detail-oriented, with high standards for both the code and the customer experience - Entrepreneurial, curious, and biased toward building, experimenting, and shipping - Collaborative and low-ego, with strong communication skills and pride in your craft Benefits Do you want to work at a growing company that invests in its team more than the average employer? Sincere is a family of brands with heart. The Company is home to Punchbowl®, Lovebird®, Timehop®, and Memento®, and builds technology that brings you closer and helps show you care to the people who matter the most. With Sincere Foundation, we support organizations that address basic needs, and envision a future where everyone has the opportunity to celebrate, recognize milestones, and honor memories. We provide a fun, casual, and innovative environment where hard work is recognized and rewarded. What We Offer: - 100% Health, Dental & Vision coverage - 401K Plan with Profit Share - Annual bonus potential - Health & Wellness stipends - Paid time off plus 12 paid holidays & Summer Fridays - Paid parental leave - Childcare benefits (dependent care FSA) - Flexible, hybrid work environment - In-person, all-expenses-paid Team Summits (2X a year) PLEASE NOTE: Our team is primarily based in Greater Boston. We will consider applicants who reside anywhere within a 2 hour drive of the city. While this role is remote, we have occasional in-person meetings at the office (every 4-6 weeks typically). The base salary range for this role is $110,000 - $130,000. Actual salary may vary based on skills and experience.

Title: Senior Full Stack Developer – Generative AI & Autonomous Agents (10036) Toronto, Canada - Hybrid Location: Toronto, Canada Workplace: hybrid Category: Engineering Job Description: We are seeking an experienced Senior Full Stack Developer with deep expertise in backend systems (Java, Python, microservices) and modern UI frameworks (Angular, React) to join our high-performing agile team. This role focuses on building robust, scalable, and user-friendly end-to-end solutions for GenAI applications, combining cutting-edge backend services with intuitive front-end experiences. Key Responsibilities - Full Stack Development: - Design, implement, and optimizeend-to-end solutions for GenAI applications, from backend services to user-facing interfaces. - Build modular and reusable UI components in Angular and React, ensuring responsive and accessible interfaces. - Develop and optimize backend services and APIs (REST, GraphQL, gRPC) to support real-time AI-driven applications. - Backend Engineering: - Architect and maintaindistributed microservices (synchronous and asynchronous) using Java, Python, and FastAPI. - Integrate ML models into scalable, production-ready systems in collaboration with ML engineers and scientists. - Manage workflow orchestration with DAGs and asynchronous task queues. - Implement automated testing, CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native deployments (AWS, Azure, GCP). - Ensure security, performance optimization, and fault tolerance in backend systems. - Frontend Engineering: - Collaborate with UX and product teams to create human-in-the-loop AI experiences with Angular and React. - Implement robust state management (Redux, NgRx, or equivalent) for real-time, data-intensive applications. - Optimize rendering, bundle size, and performance for enterprise-scale UIs. - Lead UI testing (Jest, Cypress, Playwright, Jasmine, Karma) to maintain quality and reliability. - Collaboration & Leadership: - Work closely with cross-functional teams to deliver cohesive GenAI-powered products. - Mentor junior developers, promote coding standards, and drive best practices across front-end and back-end development. - Communicate effectively with technical and non-technical stakeholders, ensuring transparency and alignment. Qualifications - 10+ years of professional experience as a full stack or combined backend/frontend engineer. - Backend expertise: Strong skills in Java and Python, with experience in microservices and distributed systems. Deep knowledge of FastAPI, OpenAPI, gRPC, and asynchronous workflows. Proficiency with SQL and NoSQL databases, distributed computing (Kafka, Redis, RabbitMQ), and performance optimization. - Frontend expertise: Expert-level experience with Angular and React, including TypeScript, JavaScript (ES6+), HTML5, CSS3/SASS. Strong grasp of state management frameworks (Redux, NgRx, etc.). Proven ability to build responsive, accessible, and performant enterprise UIs. - Cloud & DevOps: Hands-on with AWS/Azure/GCP, Docker, Kubernetes, and CI/CD pipelines. - Strong understanding of security best practices across the stack. - Excellent collaboration, problem-solving, and communication skills.

• Design, model, and implement graph data structures that capture complex system relationships, workflows, and time-dependent processes using Neo4j, Gremlin, or similar tools. • Build and integrate web application back ends and contribute to front-end development as needed to deliver complete, production-ready features. • Develop and maintain robust ETL and data pipelines spanning structured, semi-structured, and unstructured data, with strong attention to data quality. • Engineer real-time and event-streaming workflows that handle high-velocity, sequential data flows. • Deploy and operate enterprise applications in cloud environments using containerization and orchestration, applying DevOps, DataOps, and MLOps practices. • Apply GenAI/ML techniques, including GraphRAG, to graph-related and NoSQL data problems. • Write thorough unit, integration, and API tests to ensure robust, scalable, and maintainable solutions. • Run simulations and apply advanced analytics in Python to solve complex mission problems. • Align data engineering approaches with large-scale interconnected systems to ensure adaptability and scalability.