Staff Backend / Database Infrastructure Engineer

🏢 Summary: Remote Staff Software Engineer role building high-scale cybersecurity platform features and public APIs using Ruby on Rails, Angular, and AWS. The offer emphasizes end-to-end ownership, low-latency API performance, engineering quality, and direct product impact, with compensation of approximately $150,000–$205,000 annually on a B2B contract. 🗂️ Requirements: 6+ years of commercial software development experience, Strong Ruby on Rails experience or deep Node.js expertise with ability to transition to Ruby, Experience delivering scalable, public-facing APIs, C1+ written and spoken English, Working-time overlap between UTC-5 and UTC+1, Experience in SaaS, fintech, or high-growth product environments 📃 Skills: Ruby, Rails, Node.js, Angular, AWS, APIs 🏢 Description: About Our Client On behalf of our Client - a highly profitable, US-headquartered scale-up in the Cybersecurity and Threat Prevention space—we are seeking an experienced Staff Software Engineer . Our Client builds real-time platform security solutions that protect global digital platforms from fraud, account abuse, and automated attacks. Operating at massive scale, their architecture processes high-throughput API traffic under stringent low-latency requirements. They combine deep backend scalability engineering with a heavy emphasis on intuitive product UI/UX and developer-first design. Location & Work Setup 100% Remote (requiring working overlap between UTC-5 and UTC+1 time zones). Hybrid Option: Access to a modern tech hub in Krakow, Poland if you prefer working from an office. Key Responsibilities Product Development: Architect and deliver end-to-end features using a tech stack centered on Ruby on Rails, Angular, and AWS . High-Throughput APIs: Design and optimize public-facing APIs with a focus on developer ergonomics, efficiency, and reliability. Engineering Standards: Drive continuous quality through thorough code reviews, architectural discussions, and technical mentoring. Product Impact: Work in an autonomous, streamlined engineering team where your technical decisions directly shape the platform's trajectory. Candidate Profile 6+ years of commercial software development experience, ideally within SaaS, fintech, or high-growth product companies. Backend Proficiency: Strong experience with Ruby on Rails (or deep expertise in Node.js with a fast learning agility to transition into a Ruby environment). API Ecosystems: Proven track record of shipping scale-ready, public-facing APIs optimized for developer consumption. Communication: C1+ fluent written and spoken English for daily collaboration in a distributed team. Work Culture High Autonomy: Strong emphasis on complete project ownership from concept to production release. Pragmatic & Modern: Openness to experiment, iterate, and leverage automation and modern AI tools to eliminate toil. What Is Offered Compensation: ~$150,000 – $205,000 USD / year (B2B Contract). Time Off: Unlimited PTO policy + flexible working hours focused on delivered outcomes. Benefits: Paid parental leave policy. Equipment: Full high-spec hardware setup (laptop + workstation gear).

🏢 Summary: Senior Infrastructure Engineer role for an on-site core team building an AI-powered developer platform. The offer focuses on end-to-end ownership of scalable cloud infrastructure, Kubernetes orchestration, distributed workflows, CI/CD, observability, and production TypeScript services, with compensation of 34,000–36,000 PLN net B2B or 31,000–32,000 PLN gross under an employment contract. 🗂️ Requirements: 8+ years of software engineering experience, 3+ years of cloud infrastructure or platform engineering experience, 3+ years of React development experience, 3+ years of enterprise CI/CD pipeline experience, Production experience with complex multi-service applications at scale, End-to-end ownership of cloud infrastructure decisions and delivery, Expert TypeScript, Node.js, React, and Next.js skills, AWS experience with EKS, networking, IAM, and secrets management, Production Kubernetes experience, Monorepo architecture experience, Hands-on on-site collaboration experience, Technical mentoring and architectural guidance skills 📃 Skills: TypeScript, Node.js, React, Next.js, AWS, EKS, Kubernetes, Nx, IAM, CI/CD, APIs, Microservices, Webhooks, Monorepos 🏢 Description: Position: Senior Infrastructure Engineer Working model: on-site only Location: Kraków (full time office) Salary: 34,000 – 36,000 PLN netto (B2B) or 31,000 – 32, 000 PLN brutto (UoP) Role overview: Our client does not just build software; they engineer competitive advantages. They are building a proprietary, near-deterministic AI-powered development platform designed for broad developer adoption, operating at the absolute frontier of technology alongside the world’s leading AI labs. They are looking for a Senior Infrastructure Engineer to join their core team to drive system design and take full ownership of infrastructure delivery. In this role, you will lead the architecture, construction, and operation of everything from container orchestration and distributed job queues to infrastructure-as-code patterns and production telemetry. This is a highly hands-on platform and infrastructure engineering role. You will routinely write production-grade TypeScript backend services, stand up scalable cloud infrastructure, and ensure that long-running, resource-intensive developer workflows remain completely reliable, highly observable, and thoroughly secure under heavy load. Requirements: Experience 8+ years of hard-core software engineering experience. 3+ years of dedicated cloud infrastructure or platform engineering experience. 3+ years of practical experience building responsive React applications. 3+ years building, maintaining, and optimizing enterprise-grade CI/CD automation pipelines. Proven track record of shipping and operating complex, multi-service production applications at scale. Complete comfort owning major cloud infrastructure decisions and delivery end to end. Technical Depth & Skills Absolute expertise in TypeScript, Node.js, React, and Next.js. Deep understanding of modern monorepo architectures (such as Nx) and why massive codebases rely on structured monorepo methodologies. Strong AWS cloud experience, specifically spanning Amazon EKS, complex networking, IAM policies, and secure secrets management. Production-grade Kubernetes experience—including deployments, custom ingress routing, advanced health checks, and autoscaling policies. Familiarity with the modern developer tools ecosystem, including IDE extensions, custom CLIs, and third-party developer integrations. Extreme ownership You actively monitor staging and production environments, identifying infrastructural gaps and closing them before they impact users. You design systems for failure from day one, planning for worker crashes, duplicate webhooks, cache restarts, and transient cloud outages. You focus entirely on delivering rock-solid, working systems in production rather than structural diagrams that never ship. Mentoring & Collaboration Ability to elevate the entire engineering team through high technical standards and clear architectural guidance. Confidence collaborating hands-on in a shared office environment through pair programming, interactive design discussions, and direct exchange. Skill in helping fellow engineers grow into entirely independent problem solvers. Business DNA Deep understanding that code serves core business objectives and strategic ROI, not just technical elegance. Ability to create durable operating leverage through sound technical choices and future-proof design. Strong instinct for connecting low-level system architecture choices directly with company value. What you can expect Frontier Product: Building state-of-the-art systems and state-machine architectures that redefine how modern developers interact with AI workflows. Elite Environment: Working alongside C-level executives, industry visionaries, and core platform architects with no corporate theater or bureaucratic overhead. Responsibilities: Platform APIs & Orchestration: Build, optimize, and deploy orchestrator-style APIs on Kubernetes (managing operations like agent initialization, suspension, state synchronization, and secure reads). Asynchronous Distributed Jobs: Implement and scale distributed job queues and background workers for long-running indexing, code building, and release management tasks. Data Layer Architecture: Design, scale, and evolve the platform’s data layer—including database boundaries, optimized access patterns, and strong consistency models at scale. System Integrations: Seamlessly connect internal microservices and external webhooks with reliable event handling, transactional callbacks, and distributed handoffs. Production Operations: Own and advance logging, distributed tracing, alerting frameworks, and modern incident response workflows across production environments. Developer Experience (DX): Take ownership of local development environments, monorepo tooling, and internal productivity scripts. Monorepo Structural Evolving: Plan and execute large-scale codebase structural migrations without freezing product delivery timelines. CI/CD Pipelines: Own the architecture and continuous execution of deployment and integration pipelines end to end. Perks in the office: Premium coffee selection Secure bike parking On-site shower facilities Free selection of beverages Complimentary snacks Modern, high-end office space No dress code policy Dedicated playroom and relaxation area Benefits: Dedicated conference and professional development budget Flexible working hours

🏢 Summary: Backend Engineer role focused on building and operating the AI inference and orchestration systems behind a production AI assistant. The position emphasizes low-latency, high-throughput APIs, distributed-system reliability, observability and performance optimization for mobile, desktop and machine-learning integrations. Remote-first collaboration is available for a candidate working from Poland, with base salary and equity assessed individually. 🗂️ Requirements: Production backend engineering experience, High-throughput, low-latency service experience, AI inference familiarity: LLMs, embeddings, multimodal models, Distributed-systems debugging under load, Production observability and incident-management knowledge, Performance-optimization expertise, Independent delivery in ambiguous environments, Working from Poland, Working-hours overlap with immediate team 📃 Skills: Python, Node.js, PyTorch, OpenAI, Anthropic, LLMs, Embeddings, SQL, NoSQL, Kubernetes, Docker, APIs, Caching, Batching, Streaming, Logging, Alerting 🏢 Description: About the product Our client is developing an AI-native assistant designed to support everyday communication, organization, errands and complex workflows with minimal user input. The product must reliably manage long-running processes, retain context, interact with external tools and complete real-world tasks despite the non-deterministic nature of modern AI models. The company’s objective is to make everyday activities significantly faster and easier for users. About the role As a Backend Engineer specializing in AI systems, you will own the inference and orchestration layer behind the product’s AI interactions. Your work will sit between models and end users, where latency, correctness, reliability and operating costs directly affect the product experience. You will build and operate production systems that transform model capabilities into fast, stable and observable APIs used by mobile and desktop applications. What you will do Build and operate backend systems serving AI-powered functionality in production. Design inference pipelines, orchestration layers and service boundaries around Machine Learning models. Take ownership of production monitoring, logging, alerting and incident response. Optimize latency and throughput across inference, caching, batching and streaming. Build reliable APIs supporting integration with mobile, frontend and Machine Learning systems. Diagnose distributed-system issues under production load. Continuously improve system performance and reliability using real-world production signals. What we are looking for Strong backend engineering fundamentals supported by experience with production systems. Experience building or operating high-throughput, low-latency services. Familiarity with AI inference patterns, including LLMs, embeddings and multimodal models. Confidence debugging distributed systems under load. Understanding of production observability, incident management and performance optimization. A delivery-oriented mindset focused on shipping, observing production behavior and improving through iteration. Ability to work independently and make pragmatic engineering decisions in an ambiguous environment. What success looks like Backend systems reliably handle production AI traffic at scale with low latency and high throughput. APIs remain stable, clear and easy to integrate with frontend, mobile and Machine Learning systems. Production incidents are detected quickly, diagnosed effectively and resolved with minimal impact on users. System performance and reliability improve continuously based on real-world usage and production data. Technology stack Python Node.js PyTorch OpenAI, Anthropic and open-source LLMs SQL and NoSQL databases Kubernetes Docker Compensation and employment The position is offered under an employment contract. The company does not publish a fixed external salary range. Compensation is assessed individually based on: professional experience and technical capability, scope of responsibility, location and relevant market benchmarks, expected impact on the product and organization. Candidates may share their expected compensation at the beginning of the recruitment process. The compensation package consists of a base salary and equity, with flexibility for exceptional candidates. A company laptop will be provided where required for the role. Remote work and global collaboration The company operates as a remote-first, globally distributed organization. There is no fixed company-wide working schedule and no requirement to follow one specific time zone. Team members are expected to maintain sufficient working-hours overlap with their immediate colleagues to collaborate effectively. The successful candidate will work from Poland and collaborate with backend, Machine Learning, mobile and product specialists located across different regions. Poland-based employees join existing global teams rather than a separate local team. The exact reporting line and hiring manager will be confirmed during the recruitment process. How the team works The company believes that outstanding products are built by small, highly capable and hands-on teams. Decisions are made collaboratively, while individuals are expected to take ownership, bring structure to ambiguous problems and execute independently. The team moves quickly while balancing production quality, experimentation and continuous learning from real user behavior. There is no fixed hiring quota for this position. The company is focused on identifying engineers who meet its technical and ownership standards rather than filling a predetermined number of seats. Recruitment process The standard recruitment process consists of up to four stages: Technical assessment, where relevant to the candidate’s background. HR interview. One or more technical interviews. Founder or leadership interview. Particularly strong candidates may be fast-tracked directly to the technical interview stage based on their experience and previous work. Applications are evaluated by members of the technical team. Interviews may be conducted virtually and, where relevant, onsite. The exact format and interviewers may vary. The company aims to make decisions efficiently and provide candidates with a prompt outcome.

🏢 Summary: Backend Engineer role focused on building AI-centric digital products for employees and HR stakeholders. The position involves Java/Spring Boot microservices development, API and cloud integration, production observability, and maintaining secure, reliable solutions in a hybrid Kraków or Wrocław work model. 🗂️ Requirements: Strong Java and Spring Boot experience, Spring Batch and Spring Cloud experience, Microservices development experience, REST API and GraphQL schema design proficiency, NoSQL data modelling experience, Data streaming experience, OAuth 2.0 and Microsoft Entra ID knowledge, Azure Cloud Services familiarity, English communication skills, Agile collaboration experience, Commitment to quality, maintainability and documentation 📃 Skills: Java, SpringBoot, SpringBatch, SpringCloud, Microservices, REST, GraphQL, NoSQL, CosmosDB, Kafka, OAuth2, EntraID, Azure, AppServices, AzureMonitor, APIManagement, Observability, Testing 🏢 Description: Role summary We are looking for a Backend Engineer to design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. 📍 Work mode: Hybrid (2–3 days/week) — Kraków or Wrocław office Primary skills Java, Spring Boot, microservices, REST APIs Key responsibilities: Design, develop, and continuously improve intelligent digital products and services that support employees and HR stakeholders, with AI at the core. Apply modern engineering practices, from analyzing user needs and developing new features to automated testing, deployment, and observability. Ensure quality, security, reliability, and compliance by applying digital principles and implementing functional and non-functional requirements. Build observability into solutions, monitor production health, help resolve incidents, and remediate root causes of risks and issues. Advocate for user and stakeholder needs, ensuring AI solutions are explainable, ethical, and human-centric. Share knowledge openly, contribute to hiring and onboarding, and help shape a collaborative, forward-thinking engineering culture. Required skills and experience: Strong experience in Java and Spring Boot, including Spring Batch and Spring Cloud, and building microservices. Proficiency in REST API and GraphQL schema design. Experience with NoSQL data modelling, such as Azure Cosmos DB ; data streaming, such as Confluent Kafka; and authentication/authorization protocols, including OAuth 2.0 and Microsoft Entra ID. Familiarity with Azure Cloud Services , including App Services, Azure Monitor, and API Management. Collaborative communication skills: able to express ideas clearly in English and adapt technical content for diverse audiences while working closely with product managers, designers, and engineers in agile settings. Strong commitment to quality, maintainability, documentation, and continuous learning. AI-related skills, such as Spring AI or LangChain, are a strong plus. Benefits ✅ Stable long-term cooperation with opportunity for extension Opportunity to work with modern technologies in an international environment Professional growth and continuous development opportunities Participation in challenging and impactful projects 📩 If you’re interested and meet the qualifications, please send your CV at alina.pchelnikova@dcvtechnologies.co.uk