Senior Backend Engineer (Security Domain)

🏢 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

🏢 Summary: Senior Backend Engineer role owning the secure, multi-tenant trust layer for an AI-native claims platform. The position covers backend services, data models, APIs, integrations, and production operations for regulated claims data, with remote async collaboration and occasional onsite travel. 🗂️ Requirements: Senior-level backend or deep full-stack backend ownership experience, 3+ years of production product ownership, Python or TypeScript proficiency, Multi-tenant SaaS experience, Authentication, authorization and permissions experience, Distributed systems judgment, Cloud infrastructure experience, Database schema design and performance tuning, Security-focused handling of sensitive and regulated data, API design and backward compatibility, CI/CD and automated testing experience, End-to-end ownership from design through production rollout, English communication skills, Remote, async collaboration capability, Daily AI tooling experience 📃 Skills: Python, TypeScript, AWS, GCP, Azure, GDPR, CICD, APIs, SaaS, Codex, Claude 🏢 Description: Senior Backend Engineer Location: Remote This role is for a senior backend engineer who can design and own the trust layer of an AI-native claims operation. We want someone who is strong technically, communicates clearly, and has the judgment to make systems simpler, safer, and easier to evolve. Expect real ownership from system design through production — especially around multi-tenancy, access control, and regulated data. You solve ambiguous problems by shaping the right architectural approach, then ship, iterate, and keep it healthy in production. We build AI-native. Our agents handle claim logic; you own the system underneath — secure by design, multi-tenant, and compliant. Engineers use Codex, Claude Code, and agents they build themselves. We invest in harness engineering through skills, CLIs, logs, traces, and orchestration. This is a role for someone in a high-growth chapter of their career, who wants to do the best work of their life, learn fast, and win as part of a team going all-in on a hard mission. Location — Remote. International team; main office in Berlin. Expect async-first collaboration across time zones and occasional travel for onsites. Why this role You will own the application trust model behind our AI-native claims platform. While our agents decide what happens next on a claim, you make sure the system underneath is secure, multi-tenant, and compliant by design. You build the core services, the data model, and the partner-facing APIs that let insurers, property managers, and restoration companies work with claims in real time. High autonomy, small senior team — backend decisions directly shape how we handle regulated data. What you will own Design and ship backend services, APIs, data flows, and background processing for the claims platform Own the canonical data model for claims, stakeholders, policies, and documents Implement multi-tenancy and access control so every customer, partner, and user sees only what they should Build secure, stable integrations to CRM/core systems and external partner APIs Ensure GDPR-compliant data handling, isolation, and auditability across the stack Turn vague requirements into concrete technical plans, trade-offs, and execution Own services after launch: reliability, observability, performance, and incident follow-through Instrument what you ship and use production signal to iterate — not just to keep the lights on Design and maintain developer tooling, automated tests, and CI/CD pipelines Work closely with AI, frontend, product, and ops to deliver end-to-end outcomes Improve engineering leverage with AI tooling and automation, not AI as a gimmick Raise the quality bar through code review, design review, and pragmatic technical leadership What strong performance looks like You reliably move important backend work forward without waiting to be tightly managed Your systems are easier to operate and easier to change because of your design decisions You make smart trade-offs to unblock shipping — and you stand by those decisions Security and tenancy are baked into how you design, not bolted on later You keep raising the bar on engineering excellence for yourself and everyone else What we are looking for Strong senior-level backend (or full-stack with deep backend ownership) experience in production systems — typically 3+ years with real product ownership Strong Python and/or TypeScript skills; ability to design clean, maintainable backend code Experience building or operating multi-tenant SaaS Experience with authentication, authorization, and permissions models Good distributed systems judgment: concurrency, failure handling, data consistency, async work, and service boundaries Hands-on experience with cloud infrastructure (AWS, GCP, or Azure) Comfort with database schema design and performance tuning for real-time / high-throughput scenarios A security-conscious approach: enterprise-grade requirements, careful handling of sensitive data, and clear thinking about the security implications of systems and AI workflows You design clean, stable APIs and know how to keep them backwards-compatible You are used to CI/CD, automated testing, and shipping iteratively Ability to go from problem statement to design to production rollout with real ownership Clear written and verbal communication in English — you explain systems, trade-offs, and incidents without hiding behind jargon Comfortable working remote in an international team: strong written communication, async habits, and proactive ownership without constant oversight AI-native working style: you already use AI tools in your daily workflow, and you want to improve how the team builds — better tooling, workflows, and engineering leverage

🏢 Summary: Middle/Senior Front-End Engineer role focused on building scalable React-based customer experiences for onboarding, pricing, subscriptions, and payments. The position combines hands-on product development, automated testing, code quality, and cross-functional collaboration in a large-scale global product environment. 🗂️ Requirements: 4+ years of commercial software development experience, Strong React, TypeScript, JavaScript, and RxJS expertise, Experience building scalable front-end applications, Experience with Jest, Karma, WebdriverIO, and Cucumber, Knowledge of code-quality practices and tools, including SonarQube and ESLint, Experience in product-oriented, Agile environments, Familiarity with modern development tooling and CI/CD practices, Upper-Intermediate English or higher 📃 Skills: React, TypeScript, JavaScript, RxJS, SonarQube, ESLint, Jest, Karma, WebdriverIO, Cucumber, CI/CD, Webpack, GitLab, ELK, Tableau, PNPM, Miro, Claude, Backend 🏢 Description: Join a product-focused engineering team building experiences used by millions of users worldwide. We are looking for a Middle/Senior Front-End Engineer who is passionate about creating scalable customer-facing solutions and improving user journeys across onboarding, subscriptions, pricing, and payment flows. You will work in a highly collaborative environment alongside Product Managers, Designers, QA Engineers, and Back-End Engineers to deliver impactful features that directly support business growth. This role is suitable for specialists with strong React and TypeScript expertise who enjoy combining technical excellence with product thinking. We at Sigma Software offer the opportunity to work on meaningful large-scale products, influence technical decisions, grow within a mature engineering culture, and collaborate with experienced international teams. Remote/hybrid/on-site format, location, and employment type are to be confirmed. Customer Our Customer is an international product company operating a large-scale digital platform with millions of users globally. The company actively invests in improving customer acquisition, onboarding, trial experiences, subscription management, and payment solutions while maintaining a strong engineering and product culture focused on innovation, experimentation, and long-term growth. Project You will join one of the product development teams responsible for customer growth and experience optimization initiatives. The team works on strategic product areas including pricing evolution, onboarding journeys, trial conversion, and payment experience improvements. The project combines modern Front-end development practices with strong cross-functional collaboration and a data-driven product approach. Engineers are encouraged to contribute ideas, participate in technical discussions, and help improve development processes across teams. Requirements 4+ years of commercial software development experience Strong expertise in React, TypeScript, JavaScript, and RxJS Experience building modern scalable Front-end applications Strong understanding of software quality practices and code quality tools such as SonarQube and ESLint Experience with automated testing frameworks including Jest, Karma, WebdriverIO, and Cucumber Experience working in product-oriented companies and Agile development environments Familiarity with modern development tooling and CI/CD practices Ability to collaborate effectively within cross-functional teams Good communication skills and proactive mindset Willingness to learn and contribute beyond Front-end development when needed Upper-Intermediate English level or higher Will be a plus Experience with Webpack Familiarity with GitLab and GitLab CI Experience using ELK stack and Tableau Knowledge of PNPM Experience with collaboration tools such as Miro Exposure to AI-assisted development tools such as Claude Code Understanding of Back-end development concepts Personal profile Strong team player with a collaborative mindset Product-oriented thinking and customer-focused approach Passion for learning and continuous improvement Proactive attitude toward innovation and process enhancement Ownership mentality and willingness to contribute to team success Openness to knowledge sharing and mentoring culture Responsibilities Develop and enhance customer-facing product features focused on onboarding, pricing, subscriptions, and payment experiences Build scalable, maintainable, and high-quality Front-end applications using React and TypeScript Collaborate closely with Product Managers, Designers, QA Engineers, and Back-End Engineers in a cross-functional environment Participate in technical discussions, architecture decisions, and solution design activities Ensure code quality through testing, static analysis tools, and engineering best practices Write and maintain automated tests for UI and integration scenarios Participate in peer code reviews and knowledge-sharing initiatives Contribute to improving engineering processes, developer experience, and team collaboration Support continuous improvement initiatives that increase engineering efficiency and product quality Assist with Back-end related implementation tasks when needed

🏢 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.