Staff Software Engineer, Data Platform

🏢 Summary: Staff Software Engineer role on the Data Platform team focused on building and leading the next generation of customer-facing data product experiences. The position involves full-stack development across frontend, backend, APIs, and data-driven workflows to turn data capabilities into intuitive product solutions. You will shape architecture, drive engineering best practices, and deliver production-grade data applications. 🗂️ Requirements: Staff-level software engineering experience, Proven experience leading customer-facing product initiatives from concept to production, Strong full-stack web application development experience, Strong proficiency in TypeScript, Node.js, and React, Experience working with Python-based systems, Experience designing APIs and production backend services, Ability to write maintainable, testable, high-quality code, Strong technical design and architecture communication skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Architecture, Testing, Observability, Snowflake, dbt, Kafka, Flink, Materialize 🏢 Description: Built is looking for a Staff Software Engineer to join the Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. WHAT YOU'LL DO - Lead the design and delivery of the application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. - Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. - Partner with Product to shape ambiguous ideas into useful customer workflows and offer practical alternatives. - Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. - Bring strong software engineering practices through technical design, code review, mentoring, testing, and delivery patterns. - Help data engineers expand into software engineering work across frontend, backend, APIs, and production readiness. - Collaborate where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. - Use customer signals, usage data, product feedback, and support insights to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED - Staff-level software engineering experience leading ambiguous, customer-facing product initiatives from idea through production. - Strong product judgment and ability to assess customer value in workflows and requirements. - Full-stack web application experience with backend-leaning depth. - Strong experience with TypeScript, Node.js, React, and modern web application architecture. - Experience with Python or ability to work effectively in Python-based systems. - Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. - Ability to write high-quality, maintainable code with strong testing, readability, observability, and operational ownership practices. - Strong technical communication skills including design documentation and architecture discussions. - Collaborative leadership and mentoring ability. PREFERRED - Experience building data-heavy product experiences such as analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. - Experience working with data engineers, analytics engineers, or data scientists to productionize prototypes. - Experience with AI or agentic product experiences. - Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. - Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or similar domains. - Experience with product instrumentation, activation metrics, experimentation, and usage-based iteration. - Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Benefits - Salary range: $170,000 - $240,000 USD per year. - Equity as part of total compensation. - Medical, dental, and vision coverage. - Unlimited PTO policy. - 401k with match and expedited vesting. - Learning grant program for professional development.

🏢 Summary: Staff Software Engineer on the Data Platform team leading the design and delivery of customer-facing data product experiences across full-stack applications. The role focuses on building application layers, APIs, and workflows that turn data platform capabilities into intuitive, production-grade products. Requires strong product judgment and full-stack expertise to shape ambiguous ideas into high-value customer solutions. 🗂️ Requirements: Staff-level software engineering experience, Experience leading ambiguous, customer-facing product initiatives to production, Strong full-stack web application development experience, Strong TypeScript, Node.js, and React experience, Experience working in Python-based systems, Experience designing APIs and backend services, Ability to write high-quality, testable, maintainable code, Strong technical communication and architecture skills 📃 Skills: TypeScript, React, Node.js, Python, APIs, Snowflake, dbt, Kafka, Flink, Materialize, AI 🏢 Description: Built's Mission: Connect and simplify doing business in real estate.Built is the AI-powered platform transforming the way real estate is financed, developed, and managed. Purpose-built for real estate and construction, Built began by fixing construction draw management for lenders and has grown into a comprehensive operating system addressing some of the industry's most complex challenges. Today, Built is a partner to more than 350 lenders, over 80,000 borrowers and owners, and thousands of contractors, powering 86,000 active projects valued at more than $300 billion. Learn more at getbuilt.com.__________________________Built is looking for a Staff Software Engineer to join our Data Platform team and lead the next generation of customer-facing data product experiences. In this role, you will build the application layer where Built's data products are discovered, accessed, and used by customers. You will work across frontend, backend, APIs, services, and data-backed application workflows to turn platform capabilities into intuitive product experiences. The Data Platform team already has deep data engineering expertise. We are looking for a product-minded software engineer with strong full-stack application development experience to add depth to the team's software engineering capabilities. This includes thoughtful frontend experiences, well-designed backend services, durable APIs, practical architecture, strong testing practices, and a sharp instinct for what customers actually need. You will help overhaul Built's application-facing data products platform. This includes customer-facing experiences such as data product hubs, market insights, benchmarking workflows, portfolio intelligence, and data-specific agents. The right person is a builder with taste. You care when a workflow technically works but still feels confusing. You notice when a requirement does not map to customer value. You can push back, offer better alternatives, and still partner well when tradeoffs are needed. WHAT YOU'LL DO Lead the design and delivery of Built's application-facing data products platform, including product surfaces, backend services, APIs, frontend flows, and reusable patterns. Build full-stack customer experiences using TypeScript, React, Node.js, Python, and related technologies. Partner with Product to shape ambiguous ideas into useful customer workflows, challenge low-value requirements, and offer practical alternatives. Turn data science prototypes, analytics concepts, and platform capabilities into production-grade product experiences. Bring strong software engineering practices into a data-heavy team through technical design, code review, mentoring, testing, and delivery patterns. Help data engineers take on more software engineering work across frontend, backend, APIs, product decomposition, and production readiness. Collaborate across Built where data products integrate with application surfaces, platform capabilities, agents, or customer workflows. Use customer signals, usage data, product feedback, support issues, and discovery learnings to guide engineering decisions. SKILLS AND EXPERIENCE REQUIRED Staff-level software engineering experience with a track record of leading ambiguous, customer-facing product initiatives from idea through production. Strong product judgment, customer intuition, and ability to identify when a workflow or requirement does not create customer value. Full-stack web application experience, with backend-leaning product engineering depth. Strong experience with TypeScript, Node.js, React, and modern web application architecture. Experience with Python or demonstrated ability to work effectively in Python-based systems. Experience designing APIs, service boundaries, reusable application patterns, and production backend systems. Ability to write high-quality, maintainable code with strong instincts for testing, readability, observability, and operational ownership. Strong technical communication skills, including design docs, architecture discussions, and tradeoff analysis. Collaborative leadership style with the ability to challenge product direction constructively and mentor engineers without condescension. Bias toward customer value over technology for technology's sake. PREFERRED Experience building data-heavy product experiences, analytics products, reporting workflows, benchmarking tools, dashboards, or decision-support products. Experience working with data engineers, analytics engineers, data scientists, or teams that productionize data science prototypes. Experience with AI or agentic product experiences. Familiarity with Snowflake, dbt, Kafka, Flink, Materialize, or similar data platform technologies. Experience in fintech, lending, banking, construction, real estate, compliance-heavy SaaS, or other domains where trust and correctness matter. Experience with product instrumentation, activation metrics, customer adoption, experimentation, or usage-based product iteration. Experience mentoring engineers from adjacent disciplines into stronger software engineering practices. Built's salary range for this position is $170,000 - $245,000 USD per year. The pay range is designed to accommodate upward mobility in the role, therefore it encompasses the full span of proficiency levels for this role and we believe that the midpoint of the range is competitive in the market. Salary is just one component of Built's total compensation package for employees. Your total rewards package at Built will include equity, top-notch medical, dental and vision coverage, an unlimited PTO policy, and other benefits.__________________________Travel Requirement: If the role isn't required to be hybrid or on-site, non-local candidates (not based in Nashville metro) must be able to travel at minimum twice per year to Nashville, TN or another designated location for company-wide events (e.g., "Connect Week"). Additional travel may be required based on business needs and role responsibilities.Perks: The rare opportunity to radically disrupt a $1.5T industry Competitive benefits including: uncapped vacation [US ONLY], health, dental & vision insurance Robust compensation package, including equity in the form of stock options Learning Grant program to support ongoing professional development 401k with match and expedited vesting [US ONLY] Built brings together passionate people who are driven in a variety of disciplines, each bringing their unique perspective to everything they do. We're committed to building a safe, inclusive workplace where every employee can succeed, and we recruit, hire, and promote fairly - without bias based on race, color, religion, sex, sexual orientation, gender identity, marital status, veteran status, or any other characteristic protected by law.Greenhouse Data Disclosure: When you apply to a job on this site, the personal data contained in your application will be collected by Built Technologies ("Controller"). Your personal data will be processed for the purposes of managing Controller's recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results thereto, and as is otherwise needed in the recruitment and hiring processes. Your personal data will be shared with Greenhouse Software, Inc., a cloud services provider located in the United States of America and engaged by Controller to help manage its recruitment and hiring process on Controller's behalf. Your personal data will be retained by Controller as long as Controller determines it is necessary to evaluate your application for current or future employment. You have the right to request access to your personal data, to request that your personal data be rectified or erased, and to request that processing of your personal data be restricted. You also have to right to data portability. If you would like to contact Controller to ask questions surrounding processing of your personal data or to make a request, you can send an email to privacy@getbuilt.com. California residents: Please note that Controller does not sell your personal data or share it with third parties outside of Greenhouse Software, Inc.

🏢 Summary: The Customer Support Representative role focuses on delivering technical support for a real estate and construction finance platform, serving as the first point of contact for users. The position involves troubleshooting platform issues, managing tickets, analyzing support data, and collaborating cross-functionally to improve the customer experience. It offers competitive compensation, equity, comprehensive benefits, and professional development opportunities. 🗂️ Requirements: 2+ years experience in technical support, help desk, or customer service in software or financial services, Ability to troubleshoot technical issues and communicate solutions clearly, Experience logging and managing incidents in a ticketing system, Ability to analyze support data to identify root causes, Strong knowledge of customer support processes and performance metrics, Ability to document solutions and maintain knowledge bases, Willingness to travel at least twice per year if non-local 📃 Skills: Salesforce, Zendesk, Jira, Google, Ticketing, Monitoring, Chat, Email, Phone 🏢 Description: Client Support Representative At Built, the Customer Support team serves as the first point of contact for customers seeking guidance or solutions on the platform. As a Customer Support Representative, you will deliver exceptional customer experiences while mastering construction and real estate finance technology products. You will troubleshoot issues, advocate for customers, and contribute to enhancing the overall user experience in a dynamic and supportive environment. What You'll Do - Provide timely, effective support via phone, email, and chat, troubleshooting technical issues and clearly communicating solutions. - Escalate complex issues to senior team members as needed. - Collect data using monitoring and support tools to identify root causes and drive resolutions. - Log and categorize incidents in a ticketing system to extract customer and product insights. - Document resolutions and improve internal and customer-facing knowledge bases. - Expand understanding of products, services, and tools. - Advocate for customers and provide insights to enhance their experience. - Maintain professionalism and confidentiality in customer interactions. - Meet performance metrics, including response time and customer satisfaction. - Collaborate with the team to streamline support processes and raise standards. Ideal Profile & What You'll Bring - 2+ years of experience in technical support, help desk, or customer service, preferably in software or financial services. - Strong problem-solving skills and customer-first mindset. - Ability to explain technical concepts to non-technical users. - Team-oriented attitude with respect for colleagues. - Ability to quickly learn technical systems and tools. - Process-driven and dependable approach to work. - Familiarity with Salesforce, Zendesk, Jira, and Google Suite is a plus. Compensation & Benefits - Salary range: $45,000 - $65,000 USD per year. - Equity in the form of stock options. - Medical, dental, and vision coverage. - Unlimited PTO policy. - Learning Grant program for professional development. - 401k with match and expedited vesting (US only). - Travel required at least twice per year for company-wide events if non-local, with additional travel based on business needs.

🏢 Summary: The offer is for a Software Engineer (Data) role focused on building scalable data infrastructure and production-ready ML systems within an AI-driven environment. The position combines backend engineering, data engineering, and MLOps to design high-throughput pipelines and support AI solutions from experimentation to production. The role involves close collaboration with Data Science teams to shape architecture and engineering standards for next-generation data platforms. 🗂️ Requirements: 4+ years of software engineering experience, Strong proficiency in Python, Experience building scalable production systems, Experience with data-intensive applications and SQL databases, Knowledge of data modeling and query optimization, Experience with Terraform, Kubernetes, Docker or similar tools, Understanding of CI/CD pipelines and Infrastructure as Code, Experience implementing automated testing and clean architecture principles, Ability to productionize ML solutions with Data Science teams 📃 Skills: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker, Airflow, SQL, CI/CD, AWS, Snowflake, DBT, MLOps 🏢 Description: Our client helps small teams power big businesses with the must-have platform for intelligent marketing automation. Customers from over 170 countries depend on the Client’s mix of pre-built automation and integration to power personalized marketing, transactional emails, and one-to-one CRM interactions throughout the customer lifecycle. We’re looking for a Software Engineer (Data) to join our client’s growing AI and Data organization and help build the scalable foundations behind next-generation data and ML systems. In this role, you won’t just be working with data infrastructure; you’ll be shaping the software architecture, engineering standards, and production-ready platforms that power the company’s AI ecosystem. This is more than a traditional backend or data engineering position. You’ll work at the intersection of software engineering, data, and AI, partnering closely with Data Science and AI teams to bridge the gap between experimentation and production. From designing resilient systems to building scalable MLOps pipelines, your work will directly influence how AI solutions are developed, deployed, and scaled across the organization. Key takeaways: Stack: Python, MySQL, PostgreSQL, Spark, Terraform, Kubernetes, Docker Salary : 20 000 - 23 000 PLN gross/month, Contract of employment (+10% annual bonus, 75% Creative Tax) Working model: Hybrid, once a week in the office Location: Krakow, ul. Konopnickiej Recruitment process: Call with MOTIFE recruiter (30 min) Interview with Hiring Manager (45 min) Technical interview, live coding (1h) Cross-functional interview (1h) Responsibilities: Design, develop, and maintain scalable high-throughput data pipelines across complex data ecosystems. Build and optimize data models, schemas, and database structures to ensure long-term scalability and performance. Implement engineering best practices, including automated testing, CI/CD pipelines, and Infrastructure as Code (Terraform). Partner closely with AI and Data Science teams to productionize machine learning solutions and develop scalable MLOps pipelines. Engineer and maintain feature stores and data infrastructure supporting AI-driven initiatives. Monitor, maintain, and improve the reliability and efficiency of containerized environments using Kubernetes, Docker, and Airflow. Ensure platform stability, observability, and operational excellence through proactive system monitoring and health checks. Collaborate cross-functionally with engineering and business stakeholders to translate complex technical concepts into actionable insights. Contribute to the architectural direction and scalability of the organization’s AI and data platforms. Drive the adoption of robust software engineering standards across data and infrastructure projects. Requirements: 4+ years of experience in software engineering, with strong hands-on experience in backend development and building scalable production systems. Strong proficiency in Python and solid software engineering fundamentals, including clean architecture, testing, and maintainable code practices. Experience working with data-intensive applications, databases, and SQL, including data modeling and query optimization. Exposure to modern data engineering, cloud, or infrastructure environments, with familiarity in tools such as Terraform, Kubernetes, Docker, or similar technologies. Understanding of CI/CD pipelines, Infrastructure as Code, and general engineering best practices. Interest in AI/ML ecosystems and willingness to work closely with Data Science and AI teams on productionizing ML solutions. Familiarity with cloud platforms and modern data stack technologies such as AWS, Snowflake, Spark, or DBT is considered a strong plus. Ownership mindset and comfort working in evolving, fast-moving environments where systems and processes are still being built. What we offer: Health Benefits 1. Medical Full coverage for employees and their dependents through LUX MED. Employees have access to the “Premium” package, providing enhanced coverage and greater access to care. A client pays 100% of the premium for employees and 50% for dependents. 2. Dental No additional cost for dental coverage- integrated into LUX MED medical plan. 3. Vision Reimbursement for vision expenses up to 400 PLN every 2 years. Mental Health Tools Access to TELUS Health EAP to provide support and resources in a time of need. Additional Benefits 10% annual bonus 75% Creative Tax Vacation: 26 days. Home Office Stipend: One-time $150 equivalent home office stipend to outfit their home office. Calm Subscription: Premium subscription access to Calm, the #1 app for sleep, meditation, and relaxation. Hub Perks: Receive meal and transportation benefits when traveling to the Poland Hub. Baby Swag: If you have a baby or adopt, you’ll receive a company-branded first bath bundle. Sabbatical Program: After 5 years of employment, receive a month-long paid sabbatical leave, with a sabbatical leave bonus.

🏢 Summary: Backend-heavy Fullstack Engineer role focused on building and scaling a cyber risk reporting platform used by US MSPs. The position centers on designing and owning Node/NestJS backend systems, including integrations, job queues, and data modeling, within a fast-paced product environment. You will work closely with a small, autonomous team shipping features every sprint using AI-assisted development tools. 🗂️ Requirements: Minimum 2 years commercial backend experience in Node.js or NestJS, Production experience designing schemas and writing database migrations, Hands-on experience building and debugging job queues, Experience integrating third-party APIs on the backend, Solid knowledge of TypeScript, Working experience with React, Practical experience with PostgreSQL, Practical experience with Redis, Experience using Docker, Use of AI development tools, Fluent English, Availability to work evening hours aligned with US (UTC-6) team 📃 Skills: Node.js, NestJS, TypeScript, React, PostgreSQL, Redis, Docker, BullMQ, TypeORM, Auth0, Swagger, Express, Fastify, ConnectWise, Autotask, Kaseya, Microsoft365, GoogleWorkspace 🏢 Description: We're The Digital Bunch, a cross-disciplinary digital consultancy with offices in Warsaw, Riyadh, Sydney, and London. We combine strategy, design, and technology to help companies grow. Software development is one of our core verticals, and we embed with product companies long-term as part of their engineering teams. This role is for our work on a cyber risk reporting platform. The product scans networks, endpoints, and cloud environments (Microsoft 365, Google Workspace), checks breach databases, and generates risk reports with an AI layer on top for analysis and recommendations. The reports are sold to MSPs in the US who use them to show clients where they stand on security. It's cyber tooling, nothing else. The platform has been live for 5+ years, was acquired last year by a larger company (100+ people), and is actively growing. New features ship every sprint. The codebase is mature but moves fast. You'd join a small team on our side: our CTO and one other developer. On the client side in Dallas there's a PM, QA, support, and two engineers, plus people from the parent company who rotate in when needed. Flat setup, a lot of independence. We write code with Cursor and Claude Code every day. Not as a gimmick, that's how we actually work. If you're already using AI tooling, good. If not, you'll pick it up in the first week. ⚠️ Read this first, this is a backend-heavy role Most of the interesting work lives on the server: job queues, third-party integrations, data modeling, async scans, report generation. The frontend matters, but it's not where you'll spend most of your time. If your experience is mostly React with some REST calls, this isn't the right role. We need someone who's actually built and owned Node/NestJS backends in production, schemas, queues, integrations, migrations, the whole thing. We're happy to consider someone with ~2 years of experience if those two years are genuinely backend-heavy. We're not happy to consider 6 years of frontend with a skills-list backend section. ⏰ Working hours, read this too The client team is in Dallas, Texas (UTC-6). You need to be available in the evenings: - Daily standups happen between 19:00–21:00 Polish time, 30–45 minutes - Monday planning runs at 23:00 Polish time - The rest of the day is yours. Most people work something like 12:00–20:00 or 14:00–21:00 - No weekends, no on-call If you can't do evenings, this isn't the right fit. Wanted to be upfront about that. 📌 The work You'll ship features across the full stack, weighted toward the backend: NestJS on the server, PostgreSQL and Redis underneath, React on the frontend. The backend integrates with 15+ external services (breach intelligence APIs, cloud provider APIs, PSA systems like ConnectWise), runs BullMQ job queues, and uses TypeORM and Auth0. There's always something new to wire up. About 10% of your time goes to triaging production issues reported by customers. That's engineering debugging, not answering support tickets. Small team means you have real input into what gets built and how. Nobody's handing you pixel-perfect Jira tickets. We ship behind feature flags, get it in front of users fast, and iterate. If you're the type who spends three weeks perfecting architecture before writing a line of code, this isn't your pace. First-day commits. Our CTO onboards you personally, but we expect you shipping from the start. 👉 What we're looking for - At least 2 years of commercial backend work in Node.js / NestJS (or a close equivalent, Express or Fastify with real production ownership). We'll ask about it. - You've designed schemas, written migrations, debugged queues, and integrated third-party APIs, not just consumed them from a frontend - Solid TypeScript and React. You don't need to be a CSS wizard, you need to be comfortable moving across the stack - Hands-on with PostgreSQL, Redis, Docker - You use AI tools for development (Cursor, Claude Code, Copilot, whatever works for you) - Fluent English, spoken and written. You're on daily video calls with Americans - Actually okay with working late Polish hours (see above) - Self-directed. Nobody assigns you tasks step by step 👍 Bonus points - Worked in cybersecurity, SOC/SIEM tooling, or compliance before - Know your way around BullMQ, TypeORM, Auth0, or Swagger codegen - Built integrations with PSA systems (ConnectWise, Autotask, Kaseya) or MSP-facing tooling - Worked with US-based teams or in product companies 🚫 Probably not for you if - Your CV lists React/Next/Tailwind projects and the backend section is a skills list with no project evidence - You've mostly consumed REST APIs, not built them - Your backend experience is a single side project or a bootcamp module - You want to spend most of your day on UI polish 🎉 What you get - 20,000–26,000 PLN net/month, B2B - Fully remote, or Warsaw office in central Warsaw (dogs welcome) - Long-term product work on a single platform, not project hopping - Latest hardware and tooling - Multisport card - Regular salary reviews - Referral bonuses 💃 Hiring process 1. Intro call with Alex (CTO). 15–30 min. We talk about the role, you ask questions, and we see if it makes sense for both sides. 2. Take-home task. Build a small full-stack app (React + NestJS). The NestJS side carries most of the weight. Capped at 2 hours. Use AI tools, we don't care how you get there, we care that it works and you understand it. 3. Live review. 60 min. You walk us through your code, we ask you to add a feature live (should take minutes with AI, not half an hour), then we talk architecture and how you think about systems. 4. Meet the client team. Short call with the Dallas side before we finalize.

🏢 Summary: Full-Stack Application Developer role focused primarily on building scalable service-layer APIs and integrations, with additional responsibility for developing React.js front-end features. The position combines backend engineering (REST/GraphQL, data persistence, messaging) with modern UI development in a hybrid work model. You will design secure, reliable systems used at scale within a global enterprise environment. 🗂️ Requirements: B.S. degree in Computer Science, Engineering, Mathematics, Physics or related technical field, Minimum 8–10 years of relevant software development experience, Strong experience building service layers and APIs (REST or GraphQL), Proficiency in at least one backend stack: Node.js or Java, Solid experience with React.js and TypeScript, Experience with SQL or NoSQL databases and data modelling, Experience implementing authentication and authorization mechanisms, Experience with unit testing and integration testing, Familiarity with CI/CD and modern DevOps practices, Professional English communication skills, Willingness to enter into employment contract 📃 Skills: Node.js, Express, NestJS, Java, SpringBoot, React, TypeScript, JavaScript, REST, GraphQL, SQL, NoSQL, PostgreSQL, SQLServer, MySQL, MongoDB, Kafka, Testing, CICD, DevOps 🏢 Description: Think start-up energy, backed by enterprise scale. We are building a modern platform within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of an industry leader. You’ll work in a highly collaborative, international environment where your contributions directly shape real products used at scale. Who we are looking for Full-Stack Application Developer with a strong emphasis on the services layer (backend/API, integration, reliability) and a React.js UI. This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements. What you will be responsible for Services Layer / Backend (Primary Focus) Design, build, and maintain service-layer components (RESTful APIs and/or GraphQL), including domain services, orchestration, and integrations. Implement authentication/authorization, request validation, error handling, and consistent API contracts. Develop data access and persistence logic using SQL and/or NoSQL stores; optimize queries and data models for performance and reliability. Build integration patterns (event-driven, async messaging, batch, streaming) as needed using tools like Kafka/MQ UI / Front-End (React.js) Develop and maintain UI features using React.js, TypeScript, and modern state management patterns. Collaborate with design/UX to build reusable components, ensure accessibility, and deliver responsive experiences. Integrate the UI with backend services using well-defined API contracts; implement client-side validation and error handling. Proficiency in one or more backend stacks, such as: Strong experience building service layers and APIs (REST/GraphQL), including secure and scalable design. Node.js (Express/NestJS) and TypeScript Java (Spring Boot) Solid experience with React.js, modern JavaScript/TypeScript, component patterns, and API integration. Experience with databases (e.g., PostgreSQL, SQL Server, MySQL, MongoDB) and data modelling. Strong testing discipline: unit testing and integration testing Familiarity with CI/CD, code quality tools, and modern DevOps practices. What we value These skills will help you succeed in this role: Ability to collaborate with stakeholders across functions and geographies. Strong analytical skills, with ability to collect, absorb, and analyze information quickly and independently. Good written and verbal communication skills (English is a must) High level of engagement Willingness to enter into contract for employment. Education&Other B.S. degree (or foreign education equivalent) in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred. Min. 8-10 years of relatable experience. Minimum Salary: ​ zł182,004 Annual The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​ Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​ In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​ ​ We Offer: ​ Permanent contract from day one​ Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)​ Gold Medical Package for employees and their families (partner and children)​ Premium life insurance package and private pension plan​ Wide range of soft skills training, technical workshops, language classes and development programs​ Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice​ Variety of well-being programs​ Additional benefits available depending on the seniority of the role About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

🏢 Summary: Mid Full Stack Engineer role focused on building and improving AI-powered enterprise products across frontend and backend systems. The position involves developing web applications, APIs, and production features using modern technologies while collaborating closely with cross-functional teams. Candidates will work with AI development tools and contribute to scalable, high-quality software in a fast-growing environment. 🗂️ Requirements: 2–5 years of experience building production web applications, Knowledge of React, Knowledge of TypeScript or another modern frontend framework, Experience building backend services, Experience building REST APIs, Familiarity with testing and version control, Understanding of web application architecture, Understanding of client-server communication, Problem-solving skills, Attention to code quality, Strong communication skills, Experience using AI development tools, Willingness to collaborate across engineering, product, and design teams 📃 Skills: React, TypeScript, REST, Git, GitHub, Copilot, Claude, ChatGPT, Python, Node.js, AWS, GCP, Azure, Docker, CI/CD 🏢 Description: About Us Many companies want to use AI agents, but these agents often struggle with complex business tasks. We solve this problem by building a platform that understands company knowledge, policies, processes, and workflows, enabling AI to make reliable decisions instead of simply generating answers. Our technology helps businesses automate up to 85% of customer cases, reduce handling time by 20–25%, and complete tasks that previously took hours in just a few seconds. Our mission is simple: to give people better answers everywhere. About the Role We are looking for a Mid Full Stack Engineer who enjoys building products and solving real user problems. In this role, you'll work across both the frontend and backend, collaborating closely with engineers, product managers, and designers to deliver new features and improve existing ones. You'll have the opportunity to work with modern AI technologies, contribute to production systems, and grow your technical skills in a fast-moving environment. If you enjoy learning, shipping high-quality software, and working on products used by enterprise customers, we'd love to hear from you. Responsibilities - Build and maintain product features across both frontend and backend. - Develop user interfaces using modern frontend technologies. - Build and extend backend APIs and business logic. - Collaborate with engineers, product managers, and designers to implement new functionality. - Improve application performance, reliability, and usability. - Write clean, maintainable, and well-tested code. - Participate in code reviews and engineering discussions. - Help monitor production systems and improve features based on user feedback and product data. - Use AI development tools to improve productivity and software development workflows. Requirements - 2–5 years of experience building production web applications. - Good knowledge of React, TypeScript, or another modern frontend framework. - Experience building backend services and REST APIs. - Familiarity with modern software engineering practices, testing, and version control. - Understanding of web application architecture and client-server communication. - Good problem-solving skills and attention to code quality. - Strong communication skills and willingness to collaborate across engineering, product, and design teams. - Experience using AI tools such as GitHub Copilot, Claude Code, ChatGPT, or similar in day-to-day development. - Curiosity, ownership of your work, and a desire to continuously learn. Nice to Have - Experience with Python, Node.js, or both. - Experience working on AI-powered products or LLM integrations. - Familiarity with cloud platforms (AWS, GCP, or Azure). - Knowledge of Docker, CI/CD, or modern deployment workflows. - Understanding of performance optimization and accessibility best practices. What We Offer - B2B contract. - Company stock options. - MacBook Pro for work. - Modern technology stack with opportunities to contribute to open-source projects. - Access to advanced AI development tools, including GitHub Copilot, Claude Code, OpenAI Codex, TypingMind, and MCP Servers. - The opportunity to work on real AI products used by enterprise customers. - A collaborative engineering culture focused on learning, ownership, and continuous improvement. - The chance to grow your career alongside experienced engineers in a fast-growing AI company. Why Join Us Our leadership team brings deep experience in AI and knowledge management. We've raised over $60 million in funding and achieved three consecutive years of 3× growth. We believe great products are built by great teams, and our culture is shaped by these values: - Quality - We care about craftsmanship and building software that lasts. - Momentum - We move quickly, iterate often, and continuously improve. - Accountability - We take responsibility for our work, communicate openly, and support one another. - Hard Work - We believe ambitious goals require dedication and teamwork. - Learning Agility - We stay curious, embrace feedback, and continuously develop our skills. - Adapt and Thrive - We welcome change and see challenges as opportunities to improve. - Win Together - We succeed by collaborating, sharing knowledge, and helping each other grow.

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: The role involves building and scaling structured and unstructured database platforms that power distributed systems and machine learning infrastructure. You will design, optimize, and operate high-availability database systems in cloud environments, ensuring performance, scalability, and security. The position includes architectural ownership, cross-functional collaboration, and improving database standards and reliability at scale. 🗂️ Requirements: 5+ years experience as Database Engineer, Experience building real-time distributed systems, Experience designing and self-hosting databases on public cloud platforms, Strong expertise in database design, architecture, optimization, and tuning, Experience with SQL optimization, indexing, sharding, replication, Experience implementing backup and restore strategies meeting RTO goals, Proficiency in at least one programming language (Typescript, Python, Go, Java, or C++), Experience with containerization and Infrastructure-as-Code tools 📃 Skills: MongoDB, Postgres, MySQL, DynamoDB, Redis, SQL, Typescript, Python, Go, Java, C++, Docker, Kubernetes, Terraform, AWS, Datadog, ElasticSearch, Snowflake, Databricks 🏢 Description: Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: Build and mature database foundations for Scale, leveraging industry-standard platforms. Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Mentor other engineers and become deeply involved in architectural design and database best-practices. Improve our high engineering standards, tooling, and process. Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs. Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale. Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: 5+ years of industry experience as a database engineer post graduation. Engineering experience with building real-time and distributed system architecture. Experience designing and self hosting databases on industry standard public cloud platforms Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication Experience developing and optimizing backup and restore functionality to meet RTO goals Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand). Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: Prior startup experience to help us grow responsibly. Experience with AWS, Datadog, ElasticSearch Experience with cloud-based data warehouse solutions like Snowflake or Databricks. Experience with cost optimization strategies and techniques for database platforms. Experience developing and designing intermediary data abstraction layers. Mentored and grown members of your team or been a tech lead on large projects. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$162,400—$203,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.

🏢 Summary: Database Engineer role focused on building and scaling structured and unstructured database platforms that power distributed systems, data-intensive applications, and machine learning infrastructure. The position involves designing, optimizing, and securing high-availability database systems in cloud environments while collaborating across engineering and security teams. The engineer will own database services, improve reliability and scalability, and support large-scale data processing workloads. 🗂️ Requirements: 5+ years experience as a database engineer, Experience with real-time distributed systems architecture, Experience designing and self-hosting databases on public cloud platforms, Deep knowledge of database design, architecture, optimization, and tuning, Strong SQL query optimization and indexing skills, Experience with partitioning, sharding, and replication, Experience implementing backup and restore strategies meeting RTO goals, Proficiency in at least one programming language: Typescript, Python, Go, Java, or C++, Experience with containerization and Infrastructure-as-Code tools 📃 Skills: MongoDB, Postgres, MySQL, DynamoDB, Redis, SQL, Typescript, Python, Go, Java, C++, Docker, Kubernetes, Terraform, AWS, Datadog, ElasticSearch, Snowflake, Databricks 🏢 Description: Scale is powering this generative AI wave by providing the data and infrastructure for companies to build large-scale foundation models. AI is rapidly changing the world, and Scale is growing to meet that rapid demand. Our customers include OpenAI, Microsoft, Adept, Stability AI and many more major players in this space! The Platform team is responsible for building the core abstractions and infrastructure on which the products can be built and iterated rapidly. The team owns how data flows throughout the Scale platform. We’re looking for a database engineer with deep experience building and scaling both structured and unstructured database platforms supporting distributed systems, data-intensive applications, and machine learning infrastructure. You have a growth mindset and are comfortable learning new technologies. You will: Build and mature database foundations for Scale, leveraging industry-standard platforms. Collaborate with stakeholders across the organization, such as software developers, platform engineers, machine learning scientists, customer operations, etc. Own services or systems and define their long-term health goals, while also improving the health of surrounding components. Mentor other engineers and become deeply involved in architectural design and database best-practices. Improve our high engineering standards, tooling, and process. Work directly with our engineering and sales teams to create backend database solutions to meet their challenging data and security needs. Work with our Security Team on security compliance, pen tests and mitigations that improve security across Scale. Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability. This role could be a fit if you have: 5+ years of industry experience as a database engineer post graduation. Engineering experience with building real-time and distributed system architecture. Experience designing and self hosting databases on industry standard public cloud platforms Deep familiarity with design, architecture, optimization, and tuning multiple database platforms such as MongoDB, Postgres, MySQL, DynamoDB, Redis Deep familiarity with SQL query optimization, database indexing, scalability (partitioning/sharding), and replication Experience developing and optimizing backup and restore functionality to meet RTO goals Intermediate experience in at least one coding language: Typescript, Python, Go, Java, C++ (note that we are mostly language-agnostic and are open to using whatever is the best tech for the problem at hand). Experience working with Docker, Kubernetes, and Infra-as-Code (e.g. Terraform); bonus points for experience supporting GPU/ML workloads. Nice to haves: Prior startup experience to help us grow responsibly. Experience with AWS, Datadog, ElasticSearch Experience with cloud-based data warehouse solutions like Snowflake or Databricks. Experience with cost optimization strategies and techniques for database platforms. Experience developing and designing intermediary data abstraction layers. Mentored and grown members of your team or been a tech lead on large projects. Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$162,400—$203,000 USDPLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.