AI Engineer 1 - Platform Integration & AI/Data

🏢 Summary: Full Stack Engineer role building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and enterprise systems. The position involves end-to-end development across frontend, backend, and databases, with strong ownership and direct customer impact. Candidates will work in a fast-paced seed-stage environment with high accountability and real-world deployment exposure. 🗂️ Requirements: Experience shipping production software end-to-end, Strong proficiency in TypeScript, Strong proficiency in JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL databases, Experience designing database schemas and data models, Understanding of testing, documentation, and code review best practices, Ability to work in fast-moving, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing, Documentation, CodeReview 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Full Stack Engineer role focused on building and scaling a mission-critical AI-native platform for defence logistics, integrating with legacy government and ERP systems. The position involves end-to-end development across frontend, backend, and databases, delivering customer-driven features in high-stakes environments. Engineers take ownership of production systems, ensuring scalability, reliability, and code quality. 🗂️ Requirements: Proven experience shipping production software end-to-end, Strong proficiency in TypeScript and JavaScript, Experience with at least one frontend framework (React, Svelte, Next.js or similar), Solid knowledge of SQL and database design, Experience with PostgreSQL, Ability to integrate with legacy and external enterprise systems, Understanding of testing, code reviews, and documentation practices, Ability to work in fast-paced, high-accountability environments 📃 Skills: TypeScript, JavaScript, React, Svelte, Next.js, SQL, PostgreSQL, APIs, ERP, Testing 🏢 Description: ABOUT THE COMPANY We're building the AI-native command centre for defence logistics. The US defence industrial base — distributors and manufacturers managing billions of dollars in supply chain — still runs on infrastructure built in the 1980s, stitched together with email threads, supplier quotes, PDFs, government solicitations, and archaic ERP exports. We're changing that. Our platform eliminates the manual bottlenecks slowing down critical national security workflows, helping defence distributors and manufacturers quote faster, win more contracts, and deliver the components that keep allied defence forces operational. We're at seed stage, moving fast, and building a small core engineering team to scale the platform. ABOUT THE ROLE We're looking for a Full Stack Engineer to join the core platform engineering team and contribute directly to the development, scalability, and reliability of mission-critical software supporting defence and supply chain operations. You'll work closely with engineering leadership, founders, and customer-facing deployment teams to design, build, and maintain systems that integrate with complex legacy environments and support high-value, high-impact workflows. No two days will be the same — from integrating with legacy government interfaces to architecting dynamic workflows, the scope is wide and the stakes are real. Onboarding includes an on-site implementation. Expect late nights and direct customer pressure — everyone on the platform team goes through it, because experiencing forward-deployed reality is how you build software that actually works in the field. WHAT YOU'LL WORK ON Full-stack platform development Design, develop, and maintain full-stack application functionality across frontend interfaces, backend services and APIs, and database schemas and data models. Legacy system integrations Implement integrations with external systems including legacy government and enterprise platforms — ERPs, government procurement interfaces, and everything in between. Customer-driven feature delivery Collaborate with forward-deployed teams to translate customer requirements into production-ready features that drive measurable revenue outcomes for clients. Code quality and standards Ensure code quality through best practices, testing, documentation, and code reviews. Set the standard for customer-centric engineering excellence — code is a means to an end, and you build with that in mind. Team mentorship and onboarding Support the onboarding and technical development of new engineering team members as the team grows. WHAT WE LOOK FOR A track record of shipping Experience delivering real projects and products to production. You've owned things end-to-end and have the scars to show for it. TypeScript and JavaScript fluency Strong proficiency in TypeScript and JavaScript, plus solid experience with at least one frontend framework — React, Svelte, Next.js, or similar. SQL and database design Solid knowledge of SQL databases, preferably PostgreSQL. Comfortable designing schemas and reasoning about data models. Software engineering best practices Strong understanding of testing, documentation, code review, and the longer-term cost of shortcuts — while also knowing when pragmatic compromises are the right call. High accountability in fast-moving environments You set reliable deadlines and meet them. When millions of dollars depend on a delivery date, you treat that seriously — and you communicate clearly when something is at risk. THE TEAM A small, tight-knit engineering team working directly with founders and customer-facing deployment strategists. The structure is flat, the feedback is direct, and the work has real-world consequence. You'll have genuine ownership from day one — both in terms of equity and the code you're responsible for. COMPENSATION & BENEFITS Salary $75,000 – $150,000 depending on experience. Equity 0.05% – 0.3% real equity. A meaningful slice at seed stage. Work model Remote, based in Warsaw.

🏢 Summary: Design, build, and maintain complex automation workflows using n8n, integrating external systems and AI-driven solutions including LLM and RAG-based agents. The role involves developing, optimizing, and operating self-hosted n8n instances while translating business needs into scalable technical automations. 🗂️ Requirements: Minimum 1+ year experience with n8n, Experience building complex n8n workflows, Experience integrating REST APIs and webhooks, Ability to configure and maintain self-hosted n8n, Knowledge of OAuth2, API keys, Basic Auth, Experience debugging and optimizing workflows, Knowledge of LLM integrations (OpenAI, Anthropic, Gemini), Understanding of RAG and AI agents, Proficiency in JavaScript, TypeScript, Python, Knowledge of JSON, XML, CSV, Ability to work with REST APIs and technical documentation, EU work permit and EU residency 📃 Skills: n8n, REST, Webhooks, OAuth2, OpenAI, Anthropic, Gemini, LLM, RAG, JavaScript, TypeScript, Python, JSON, XML, CSV, API, BasicAuth 🏢 Description: 🟣 You will be: designing, building, and maintaining complex automation workflows using the n8n platform, integrating external systems and services via REST APIs, webhooks, and authentication mechanisms, developing and operating AI-driven automations and agents, including LLM integrations and RAG-based workflows, configuring, managing, and optimizing self-hosted n8n instances to ensure reliability and performance, collaborating with technical and non-technical stakeholders to translate business requirements into scalable automation solutions. 🟣 Your profile: Platform: n8n minimum 1+ years of experience with the n8n platform, hands-on experience in building complex workflows, experience integrating with external services via REST APIs, webhooks, and built-in nodes, ability to configure and maintain self-hosted n8n instances, knowledge of authentication mechanisms such as OAuth2, API keys, and Basic Auth, experience in debugging and optimizing workflows. AI & Automation knowledge of LLM models such as OpenAI, Anthropic, and Gemini, and their integration with n8n, understanding of prompt engineering fundamentals, familiarity with current trends in the AI ecosystem, including RAG, AI agents, and multi-agent workflows. Programming knowledge of JavaScript, TypeScript, and Python, basic knowledge of data formats such as JSON, XML, and CSV, ability to work with REST APIs and technical documentation. Work from the European Union region and a work permit are required. 🟣 Nice to have: experience in building AI agents using n8n, familiarity with other no-code or low-code automation tools such as Make or Zapier. 🟣 Recruitment Process: CV review – HR call – Technical Interview – Client Interview – Hiring Manager call – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 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: 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: 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. 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🏢 Summary: Development and maintenance of dynamic web applications using Python and Django for a leading German telecommunications and IT distributor. The role focuses on building server-side rendered applications with modern frontend styling and seamless UX, while ensuring high quality through CI/CD and monitoring practices. You will collaborate closely with design and backend to deliver scalable, production-ready solutions. 🗂️ Requirements: Proficiency in Python, Strong knowledge of Django framework internals, Experience with HTMX, Proficiency in HTML, Proficiency in CSS, Experience with SSR, Good knowledge of Tailwind CSS, Experience with PostgreSQL or other relational databases, Experience with CI/CD pipelines, Experience with CircleCI, Knowledge of Sentry, Ability to develop and maintain dynamic web applications using Django 📃 Skills: Python, Django, HTMX, HTML, CSS, Tailwind, PostgreSQL, CircleCI, Sentry, SSR, CICD 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: Our client is one of the leading players in the German telecommunications and IT distribution market. With a broad portfolio of products and strong partnerships with major network operators, the company has built a reputation for reliability, innovation, and outstanding service. Recognized multiple times by industry leaders, they continue to grow by embracing new technologies and delivering top-tier solutions to a wide range of business partners. The ideal candidate will be well-organized, eager to learn and adapt, and driven to tackle complex challenges. Most importantly, you’ll thrive in a collaborative, team-oriented environment! Your Responsibilities: Co-develop and co-maintain web applications using Python and Django Crafting beautiful UI and styling the web application using Tailwind CSS Develop and maintain dynamic web applications using HTMX with the Django framework Implementing and integrating more compound web components Ensure consistent application of UX best practices to deliver intuitive and user-centered interfaces Close collaboration with the team (Designer and Backend Engineer) to make sure implementation meets requirements Implement CI/CD pipelines using CircleCI Monitor and debug issues using Sentry Attention to detail and sense of aesthetics, from clean code to beautiful UI Required Skills & Experience: Proficiency in HTML, and CSS and SSR Good knowledge of Tailwind CSS Good understanding of Django framework internals Proficiency in Python Experience with HTMX Experience with PostgreSQL or other relational databases Experience working with CI/CD pipelines (CircleCI) Knowledge of Sentry for monitoring and debugging Problem-solving mindset, ability to work both independently and within a team Excellent command in spoken and written English, at least C1 Nice to Have: Advanced knowledge of Docker and daily hands-on experience SQL proficiency for debugging and performance optimization Basic knowledge of Agile/Scrum methodology What We Offer: Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools (MacBook, external monitor, ergonomic chairs) Fully equipped kitchen with fresh fruit, hot & cold beverages Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Support for continuous learning – we encourage and invest in the professional development of our engineers Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!