Senior Software Developer – Specification-Driven Development Specialist

🏢 Summary: 6-month B2B contract for a senior consultant to lead and scale Specification-Driven Development (SDD) practices in a public transport project. The role focuses on defining structured, executable specifications to support AI-assisted development and modern engineering automation. The consultant bridges business and technical teams to ensure high-quality, specification-first software delivery. 🗂️ Requirements: 8+ years of software engineering experience, Proven hands-on experience with Specification-Driven Development (SDD), Experience with AI-assisted software development, Strong knowledge of Domain-Driven Design (DDD), Strong knowledge of Behavior-Driven Development (BDD), Strong knowledge of Test-Driven Development (TDD), Experience creating executable specifications, Experience in enterprise-scale systems, Experience with microservices and REST APIs, Experience with CI/CD pipelines, Experience with automated testing, Experience with cloud platforms, Proficiency with Git and DevOps practices 📃 Skills: SDD, DDD, BDD, TDD, .NET, C#, Java, Kotlin, REST, Microservices, CI/CD, Azure, Git, DevOps, AI, Event-driven, Integration 🏢 Description: PROJECT INFORMATION: Industry: Public transport Business trips : Visit the DK office if needed Remote Project language: English 6 month contract plus extension Start Date: ASAP Assignment type: B2B contract Assignment Overview We are looking for an experienced external consultant with deep expertise in Specification-Driven Development (SDD) to support strategic software initiatives. The consultant will play a key role in driving modern software engineering practices where detailed specifications are created before development begins — often to guide AI-assisted coding agents and automated development workflows. Specification-Driven Development (SDD) is a modern software methodology focused on defining structured, behavior-oriented specifications prior to implementation. This approach ensures that AI-assisted development tools and engineering teams clearly understand the required functionality, technical constraints, business rules, and acceptance criteria before code is generated or written. Unlike traditional development approaches that primarily focus on how to code a solution, SDD emphasizes what needs to be built through precise, structured, and verifiable specifications that can serve as executable contracts throughout the software lifecycle. The consultant will help establish and scale these practices across development teams, ensuring higher software quality, improved consistency, reduced defects, and stronger alignment between business requirements and implementation. Main Responsibilities Lead and drive Specification-Driven Development (SDD) practices across software teams. Define structured, behavior-driven specifications before implementation begins. Translate business requirements into precise, testable, and AI-consumable specifications. Create executable specifications including: functional requirements technical constraints architectural guidelines business rules acceptance criteria Collaborate with architects, developers, QA engineers, and product owners. Support AI-assisted development workflows and modern engineering automation. Ensure specifications are reviewed and validated before implementation. Improve software quality through specification-first engineering practices. Establish standards for traceability, consistency, and verification. Mentor development teams in modern specification methodologies and engineering discipline. Contribute hands-on to software design and implementation when needed. Key Requirements +8 years of experience in software engineering and enterprise system development. Proven hands-on experience with Specification-Driven Development (SDD). Strong understanding of: AI-assisted software development. Domain-Driven Design (DDD). Behavior-Driven Development (BDD). Test-Driven Development (TDD). Agile methodologies. Experience creating executable specifications and structured engineering documentation. Strong stakeholder management and communication skills. Ability to bridge business requirements and technical implementation. Experience working in large-scale or complex enterprise environments. Strong analytical and problem-solving skills. Technical Competences: Experience with several of the following is expected: .NET / C#/ Java/ Kotlin REST APIs and microservices CI/CD pipelines Automated testing frameworks Azure or cloud-native platforms Git and DevOps practices Event-driven architecture Enterprise integration patterns AI-assisted development tooling Nice to Have Experience from transportation, railway, or critical infrastructure environments. Experience with large-scale digital transformation initiatives. Familiarity with regulated or safety-critical systems. Experience working with AI coding agents and automated engineering workflows.

🏢 Summary: 6-month B2B contract for a senior consultant to lead and implement Specification-Driven Development (SDD) practices in a public transport software environment. The role focuses on defining structured, executable specifications to support AI-assisted development and enterprise-scale systems. The consultant will drive specification-first engineering standards and contribute to modern software architecture and automation workflows. 🗂️ Requirements: 8+ years of software engineering experience, Proven hands-on experience with Specification-Driven Development (SDD), Strong knowledge of AI-assisted software development, Strong knowledge of Domain-Driven Design (DDD), Strong knowledge of Behavior-Driven Development (BDD), Strong knowledge of Test-Driven Development (TDD), Experience creating executable specifications, Experience with enterprise system development, Experience with large-scale or complex systems, Ability to translate business requirements into technical specifications, Experience with Agile methodologies, Experience with CI/CD pipelines, Experience with automated testing, Experience with cloud platforms, Experience with microservices architecture 📃 Skills: SDD, DDD, BDD, TDD, .NET, C#, Java, Kotlin, REST, Microservices, CI/CD, Azure, Git, DevOps, Event-driven, AI, APIs 🏢 Description: PROJECT INFORMATION: Industry: Public transport Business trips : Visit the DK office if needed Remote Project language: English 6 month contract plus extension Start Date: ASAP Assignment type: B2B contract Assignment Overview We are looking for an experienced external consultant with deep expertise in Specification-Driven Development (SDD) to support strategic software initiatives. The consultant will play a key role in driving modern software engineering practices where detailed specifications are created before development begins — often to guide AI-assisted coding agents and automated development workflows. Specification-Driven Development (SDD) is a modern software methodology focused on defining structured, behavior-oriented specifications prior to implementation. This approach ensures that AI-assisted development tools and engineering teams clearly understand the required functionality, technical constraints, business rules, and acceptance criteria before code is generated or written. Unlike traditional development approaches that primarily focus on how to code a solution, SDD emphasizes what needs to be built through precise, structured, and verifiable specifications that can serve as executable contracts throughout the software lifecycle. The consultant will help establish and scale these practices across development teams, ensuring higher software quality, improved consistency, reduced defects, and stronger alignment between business requirements and implementation. Main Responsibilities Lead and drive Specification-Driven Development (SDD) practices across software teams. Define structured, behavior-driven specifications before implementation begins. Translate business requirements into precise, testable, and AI-consumable specifications. Create executable specifications including: functional requirements technical constraints architectural guidelines business rules acceptance criteria Collaborate with architects, developers, QA engineers, and product owners. Support AI-assisted development workflows and modern engineering automation. Ensure specifications are reviewed and validated before implementation. Improve software quality through specification-first engineering practices. Establish standards for traceability, consistency, and verification. Mentor development teams in modern specification methodologies and engineering discipline. Contribute hands-on to software design and implementation when needed. Key Requirements +8 years of experience in software engineering and enterprise system development. Proven hands-on experience with Specification-Driven Development (SDD). Strong understanding of: AI-assisted software development. Domain-Driven Design (DDD). Behavior-Driven Development (BDD). Test-Driven Development (TDD). Agile methodologies. Experience creating executable specifications and structured engineering documentation. Strong stakeholder management and communication skills. Ability to bridge business requirements and technical implementation. Experience working in large-scale or complex enterprise environments. Strong analytical and problem-solving skills. Technical Competences: Experience with several of the following is expected: .NET / C#/ Java/ Kotlin REST APIs and microservices CI/CD pipelines Automated testing frameworks Azure or cloud-native platforms Git and DevOps practices Event-driven architecture Enterprise integration patterns AI-assisted development tooling Nice to Have Experience from transportation, railway, or critical infrastructure environments. Experience with large-scale digital transformation initiatives. Familiarity with regulated or safety-critical systems. Experience working with AI coding agents and automated engineering workflows.

🏢 Summary: Senior Fullstack Engineer role focused on delivering full-stack solutions within an AI-integrated SDLC where AI is embedded across planning, development, review, testing, and deployment. The position combines backend and frontend engineering with AI orchestration, automation, and cloud-native architecture in a remote-first setup. The engineer will also evolve shared AI toolchains and contribute to architectural and code quality standards. 🗂️ Requirements: Team-level AI-integrated SDLC experience across planning, development, review, testing, deployment, Shared AI toolchain management under version control, Hands-on use of Claude Code, GitHub Copilot, Cursor or equivalent as team tools, Building and maintaining custom AI skills and sub-agents for team use, Experience with parallel AI agent orchestration, Spec-driven development using OpenAPI, ADRs, PRDs as AI context, AI-assisted code review integrated into PR process, Working knowledge of AI orchestration frameworks, Backend development with .NET / C# and ASP.NET Core, Frontend development with TypeScript and React or Angular, Experience with SQL databases and ORM frameworks, Experience with Docker and Kubernetes, Experience with CI/CD pipelines, Experience with cloud platforms (Azure, AWS, or GCP) 📃 Skills: C#, .NET, ASP.NET, SQL, SQLServer, PostgreSQL, EFCore, OAuth, JWT, Python, Java, Node.js, TypeScript, JavaScript, React, Angular, LangChain, LlamaIndex, CrewAI, Docker, Kubernetes, GitHubActions, AzureDevOps, Azure, AWS, GCP, OpenAPI, CQRS, DDD, EventSourcing, Microservices 🏢 Description: We are looking for a Senior Fullstack Engineer who combines deep technical expertise with real, team-level experience working in an AI-integrated software development lifecycle. Individual use of AI coding assistants is not sufficient for this role. We are specifically looking for engineers who have worked in teams where AI was embedded into every phase of delivery — from planning and design through development, review, testing, and deployment. We follow a remote-first setup with no mandatory regular office visits for this position. From time to time, you may be invited to join in-person meetings in one of our offices (Warsaw, Lodz, Wroclaw, Gdansk, or Bialystok), for example for client visits or team reunions. AI-First Requirements Experience working in an AI-enabled engineering team is mandatory — not a personal workflow preference. You have been part of a team where AI was systematically embedded across all delivery phases: planning, development, review, testing, and deployment. You can speak from direct experience about how it worked, what failed, and what you would change. Specific mandatory requirements: Team-level AI-integrated SDLC experience — shared toolchain, shared configurations, shared assets under version control Hands-on with Claude Code, GitHub Copilot, Cursor, or equivalent as a team tool, not only personal usage Built and maintained custom skills and sub-agents used across a team, not just personally Experience with parallel agent orchestration for concurrent workstream execution Disciplined plan → review plan → execute approach with AI involved at every phase Maintained shared prompt libraries, skill repositories, or agent configurations in version control AI-assisted code review integrated into the PR process: CodeRabbit, Copilot review, or similar Experience with spec-driven or document-driven development where structured specifications (OpenAPI, ADRs, PRDs) serve as AI context inputs, not just human references Working knowledge of at least one AI orchestration framework: LangChain, LlamaIndex, Microsoft Agent Framework, CrewAI, or equivalent Automation-first mindset: proactively identify repetitive or inefficient parts of current work and automate them using AI and other available tools. Cost-aware AI usage: understanding how AI credits are consumed across different tools, models, and workflows, and ability to choose the most appropriate model or approach for each task. Technical Requirements Backend: .NET / C#, ASP.NET Core, SQL Server / PostgreSQL, EF Core, OAuth 2.0 / JWT. Python, Java, or Node.js is a strong plus. Frontend: TypeScript, JavaScript, React(preferable) and/or Angular, state management, async patterns, frontend testing. Architecture: Full spectrum from monolith to microservices — DDD, CQRS, Event Sourcing, event-driven design, message brokers. Infrastructure: Docker, Kubernetes, CI/CD (GitHub Actions / Azure DevOps), Azure / AWS / GCP, structured observability. Responsibilities Deliver full-stack features to a high standard of quality, performance, and reliability Contribute to architectural decisions and system design trade-offs Evolve and maintain the team's shared AI toolchain across all SDLC phases Conduct code reviews including AI-assisted tooling; uphold and enforce engineering best practices Proactively surface risks, bottlenecks, and security concerns Communicate and collaborate directly with clients in English Mentor engineers on both technical fundamentals and AI-augmented workflow practices Professional Qualities Ownership mindset · Strong written and verbal English · Comfortable in client-facing roles · Raises the AI workflow maturity of those around them

🏢 Summary: Senior Full-Stack Developer role focused on leading the development of a new application within a Scrum team. The position involves technical ownership of key components, translating complex user stories into scalable solutions, and ensuring high-quality, secure, and maintainable code. The role also includes mentoring developers, implementing DevSecOps practices, and managing Azure cloud deployments. 🗂️ Requirements: 6+ years web software development experience, 4+ years SQL Server experience, Experience translating user stories into technical solutions, Experience with database schema design and query optimization, Experience implementing DevSecOps practices, Proficiency in Agile/Scrum methodologies, Experience with CI/CD pipelines, Ability to design scalable architectures, Experience conducting code reviews, Experience writing unit tests, Experience deploying and managing Azure services 📃 Skills: SQL, SQLServer, Azure, AzureAppServices, AzureKeyVault, CI/CD, DevSecOps, SonarQube, Snyk, Agile, Scrum, UnitTesting, Git, Cloud, DevOps 🏢 Description: Job Description: The candidate will work as a senior member in a team of full-stack developers to lead the development of a new application. Development will follow Scrum methodologies, under the leadership of a Business Application Owner, while mentoring junior team members and collaborating closely with the Development Lead. The role involves taking technical ownership of critical components and ensuring high-quality deliverables. Assignment, Context, Job Main Challenges & Key Expectations: Candidates are expected to quickly gain in-depth knowledge of the application, translate complex functional user stories into detailed technical tasks, and provide expert technical guidance to the team. The Senior Developer will also play a crucial role in supporting the design of scalable architectures and advocating for best coding practices. Job Scope: Develop, guide, and mentor team members. Responsibilities include: Analyzing user stories and converting them into technical tasks. Designing and developing robust and efficient software solutions. Performing code reviews. Optimizing database schema and queries. Documenting technical designs. Implementing unit tests and ensuring all deliverables meet quality standards. Troubleshooting production issues and identifying opportunities to enhance system performance. Main Responsibilities: Actively participate in all Agile ceremonies – daily standup, sprint planning, review, demo, and refinement. Collaborate with Product Owners, development leads, and other stakeholders to refine user stories and provide technical insights. Estimate user stories and guide junior developers during refinement and sprint planning. Translate user stories into high-quality technical designs and tasks. Implement user stories with clean, maintainable, and scalable code while mentoring team members. Apply DevSecOps practices within the CI/CD pipeline, including the use of SonarQube and Snyk for automated security scanning. Design and write comprehensive unit test cases to ensure code quality and reliability. Conduct thorough code reviews, providing feedback to ensure adherence to coding standards and best practices. Deploy and manage Azure cloud services including Azure App Services and Azure Key Vault. Support and troubleshoot production issues during hyper-care and beyond. Key Requirements: 6+ years of experience in web software development, with proven ability to translate complex user stories into robust technical solutions. 4+ years of experience in SQL Server, including schema design, advanced querying, and performance optimization. Experience in implementing DevSecOps practices. Proficiency in Agile methodologies and collaboration. Strong mentoring and leadership abilities. Nice to Have: Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Claude). Experience with Azure App Services and cloud performance monitoring. Knowledge of secure coding standards and practices. Other Details: This position allows for remote work flexibility, with a focus on collaboration across various development teams. The assignment is long-term, emphasizing innovative software solutions in a high-paced environment.

🏢 Summary: Senior Test Automation Engineer (SDET IV) role focused on designing and evolving scalable automation frameworks for large-scale, high-traffic fraud and regulatory platforms in a cloud-native microservices environment. The position involves influencing architecture decisions, driving shift-left and reliability practices, and optimizing quality infrastructure within CI/CD pipelines. Work is delivered in an Agile setup with modern cloud and container technologies. 🗂️ Requirements: Minimum 5 years of experience in test automation or SDET roles, Strong expertise in building automation frameworks for distributed systems, Proficiency in Python, Java or Go, Experience working with CI/CD pipelines, Hands-on experience with AWS or GCP, Hands-on experience with Kubernetes and Docker, Strong understanding of microservices architecture, Knowledge of infrastructure-as-code concepts, Understanding of observability concepts and root cause analysis, English proficiency at B2/C1 level, Residing in Poland 📃 Skills: Python, Java, Go, AWS, GCP, Kubernetes, Docker, CI/CD, Microservices, IaC, Observability 🏢 Description: We are looking for a highly experienced Senior Test Automation Engineer (SDET IV) to join a long‑term project delivered by Sii for an international organization developing large‑scale, high‑traffic fraud and regulatory platforms. In this role, you will influence architecture decisions, shape quality engineering strategy, and design next‑generation automation frameworks for complex, distributed microservices. You will work in a modern cloud environment (AWS/GCP, Kubernetes) and collaborate closely with Engineering and Product teams in an Agile setup. The position offers strong development opportunities through Sii’s certification programs and technology partnerships. If you want to drive reliability, shift-left practices, and automation excellence - apply now! Your tasks Lead architecture and design reviews, ensuring testability, observability, and reliability of distributed microservices and event-driven systems Design, develop, and evolve scalable, self-healing automation frameworks supporting CI/CD and high‑concurrency workflows Own and optimize the quality infrastructure, including automated test creation, execution, monitoring, and global trend analysis Drive shift‑left practices, reliability engineering, and proactive testing approaches such as chaos principles and performance validation Collaborate within Agile teams to define test strategies, release readiness criteria, quality KPIs, and maintain high-quality technical documentation Requirements At least 5 years of experience in test automation, SDET, or similar engineering roles Strong expertise in building automation frameworks for distributed systems (Python, Java or Go) and working with CI/CD pipelines Hands-on experience with cloud and container technologies (AWS or GCP, Kubernetes, Docker) Solid understanding of microservices, infrastructure‑as‑code, and observability concepts; ability to analyze root causes of failures English proficiency at B2/C1 level Residing in Poland required

🏢 Summary: Senior Java Developer role in an agile, international team focused on designing and building cloud-based backend and fullstack solutions. The position involves architecting scalable systems, ensuring high code quality, and contributing to CI/CD and DevOps practices. The role also includes technical leadership and collaboration with cross-functional teams to deliver secure, high-performance applications. 🗂️ Requirements: Expert knowledge of Java for backend and fullstack development, Experience architecting cloud-based SaaS solutions, Proficiency in automated testing and CI/CD pipelines, Experience with version control systems, Ability to deliver secure and scalable code, Bachelor’s degree in Computer Science, Engineering or related field with 5+ years of experience OR 9+ years of relevant industry experience 📃 Skills: Java, SaaS, CI/CD, Git, AWS, GCP, Azure, Docker, Kubernetes, TypeScript, Python 🏢 Description: About the Role: We are looking for a Senior Java Developer to join an agile, international engineering team working on cloud-based solutions serving diverse industries. As a technical leader, you will design, build, and maintain robust backend and fullstack systems, impacting both product performance and business outcomes. Must Have Expert knowledge of Java (backend/fullstack web development) Experience architecting cloud-based solutions (SaaS platforms or similar) Proficiency in automated testing, deployment pipelines, version control, and CI/CD practices Strong command of English for daily teamwork in multicultural environments Demonstrated ability to deliver secure, scalable, high-quality code Bachelor’s degree in Computer Science, Engineering, or related field with 5+ years of professional experience, OR 9+ years’ relevant industry experience (without degree) Nice to Have Exposure to other technologies (TypeScript, Python, etc.) Experience working with multiple data models and integrating acquired codebases Previous engagement in Agile/Scrum teams (sprint planning, retrospectives, hackathons) Background in industries like energy, IoT, finance, or regulated environments Familiarity with modern cloud platforms (AWS, GCP, Azure) and DevOps practices (Docker, Kubernetes) Your Profile Tech Enthusiast: Keen to learn and apply emerging technologies and best practices Analytical Thinker: Able to define requirements and design effective solutions to complex challenges Product Mindset: Understands how technical decisions influence user experience and business drivers Team Player: Works well in autonomous, distributed teams and supports collaborative engineering culture Key Responsibilities Design and develop Java-based backend and fullstack features for cloud-based applications Contribute to scalable, unified system architectures and help integrate diverse platforms and technologies Write and maintain high-performance, secure code and automated tests to ensure product quality Participate in sprint planning, code reviews, retrospectives, and technical discussions Work closely with product managers and business stakeholders to align technical development with commercial goals Mentor junior engineers and promote continuous improvement in team processes Ready for your next challenge? Send your CV detailing your experience in Java, cloud technologies, and agile teams. Tell us about your approach to system architecture and cross-team collaboration!

🏢 Summary: Senior Software Engineer responsible for defining technical standards and architecture, leading backend and frontend development, and ensuring secure, scalable, and observable solutions. The role drives CI/CD, enterprise integrations, and production support while aligning engineering practices with product and operations goals. 🗂️ Requirements: Proven experience defining technical standards and architecture, Experience with CI/CD orchestration, Experience with observability implementation, Experience implementing on-premises, hybrid, and cloud solutions, Experience leading backend and frontend architectural decisions, Experience maintaining CI/CD pipelines, Experience coordinating enterprise integrations, Knowledge of DDD and clean architecture, Expertise in Java and Spring Boot, Expertise in Python and FastAPI, Expertise in React or Angular, Experience with L2/L3 production support, Experience with Spring Security and OAuth 📃 Skills: Java, SpringBoot, Python, FastAPI, React, Angular, CICD, Observability, ServiceNow, Jira, Boomi, DDD, OAuth, SpringSecurity 🏢 Description: To strengthen the team, we are seeking a person for the role of Senior Software Engineer, responsible for defining technical standards and architecture, guiding the development team, ensuring quality practices, security, and CI/CD, and collaborating with product and operations in delivering scalable, business-aligned solutions. Main Responsibilities Define technical standards, architecture, and development practices, ensuring quality, security, performance, and resilience in production environments. Orchestrate end-to-end delivery with CI/CD and observability while promoting responsible autonomy among teams aligned with product and operational objectives. Implement on-premises, hybrid, and cloud solutions with security best practices, observability, and integration with existing systems. Lead architectural decisions in backend and frontend (Java/Spring Boot, Python/FastAPI, React/Angular), ensuring scalability, consistent testing and code reviews. Implement and maintain end-to-end CI/CD pipelines and observability (logs, metrics, distributed tracing). Coordinate enterprise integrations (ServiceNow, Jira, CRMs) and iPaaS (e.g., Boomi), including mapping, validation, and compliance. Apply practices such as DDD, clean architecture, application security, and secrets/IAM management throughout the development lifecycle. Provide technical guidance to the team, elevate quality standards, and align practices with product and operations. Lead L2/L3 support in production: incident triage and resolution, prevention escalation (on call), SLA management, and conducting post-mortems focused on root causes and corrective actions. Operate and evolve applications in on-premises, hybrid, or cloud environments: VMs, networks, VPNs, certificates, Nginx/reverse proxy, load balancing, and enhancing the security of exposed services. Key Requirements Proven ability to define technical standards, architecture, and development practices. Experience with CI/CD orchestration and observability practices. Knowledge of implementing on-premises, hybrid, and cloud solutions with security best practices. Leadership in architectural decisions for backend and frontend technologies. Experience with maintaining CI/CD pipelines and end-to-end observability. Ability to coordinate enterprise integrations and ensure compliance. Mastery of practices such as DDD and clean architecture. Technical expertise in Java/Spring Boot, Python/FastAPI, React/Angular. Experience in providing L2/L3 technical support and leading incident resolution. Expertise in security practices, including Spring Security and OAuth. Nice to Have Experience with Docker, Kubernetes, and cloud environments (Azure/AWS/GCP). Background in data management with PostgreSQL, MongoDB, and Redis. Familiarity with AI models, particularly RAG. Knowledge in security access management and policies based on the principle of least privilege.

🏢 Summary: B2B Senior Full-Stack Software Engineer role focused on building Java-based enterprise applications with strong integration of Agentic AI tools to enhance development workflows. The position involves end-to-end development, CI/CD pipeline design, automated testing, security implementation, and containerized deployments in an Agile environment. The role combines backend, frontend, DevOps, and AI-assisted engineering practices. 🗂️ Requirements: Minimum 5 years of hands-on Java development experience, Strong experience with Spring Boot and Spring Security, Solid knowledge of Hibernate / JPA and ORM concepts, Experience with relational databases (MySQL, PostgreSQL, or Oracle), Proficiency in HTML5, CSS3, JavaScript and one modern frontend framework (React, Angular, or Vue.js), Hands-on experience with JUnit, Mockito, Cucumber and integration testing, Practical experience designing and maintaining Jenkins CI/CD pipelines, Understanding of cryptographic principles and secure key management, Experience with Docker and Kubernetes, Experience designing and implementing RESTful APIs, Understanding of software architecture patterns and design principles, Experience working in Agile/Scrum environments 📃 Skills: Java, Spring, SpringBoot, SpringSecurity, Hibernate, JPA, MySQL, PostgreSQL, Oracle, HTML5, CSS3, JavaScript, React, Angular, Vue, JUnit, Mockito, Cucumber, Jenkins, Docker, Kubernetes, REST, Cryptography, GitHubCopilot, ChatGPT, Claude, Cline 🏢 Description: Senior Software Engineer (Full-Stack, Agentic AI Focus) Warsaw, hybrid 1 day/week B2B contract We are looking for a talented Senior Software Engineer to join our dynamic development team. This role focuses on full-stack development , with a strong emphasis on leveraging Agentic AI tools and technologies to drive efficiency, innovation, and smarter development workflows. The ideal candidate brings solid experience with Java-based enterprise applications , a strong engineering mindset, and a passion for using cutting-edge AI technologies to enhance productivity, code quality, and collaboration across the development lifecycle. Key Responsibilities 1. Development & Engineering Design, develop, and maintain full-stack applications using Java and modern web technologies. Build robust backend services using the Spring Framework (Spring Boot, Spring Security). Develop and optimize database interactions using Hibernate ORM . Create responsive, intuitive, and user-friendly frontend interfaces. Integrate Agentic AI tools and technologies to improve development efficiency and code quality. Participate in the entire software development lifecycle , from requirements analysis to deployment. Implement cryptographic solutions and security protocols to ensure safe handling of sensitive data. 2. CI/CD & DevOps Design, build, and maintain Jenkins CI/CD pipelines for automated build, testing, and deployment. Configure and optimize continuous integration workflows to ensure high code quality and rapid delivery. Implement automated testing integration within CI/CD pipelines. 3. Agentic AI Tools & Technology Integration Leverage AI-powered development tools (GitHub Copilot, ChatGPT, Claude, Cline, etc.) to accelerate coding, troubleshooting, and problem-solving. Utilize AI tools for code review, automated testing, and documentation generation . Stay up to date with emerging Agentic AI technologies and assess their potential to enhance development workflows. Share knowledge and best practices for AI-assisted development across the team. 4. Testing & Quality Assurance Write comprehensive unit tests using JUnit, Mockito, and other testing frameworks. Develop and execute integration tests to ensure system reliability and stability. Implement automated testing strategies and maintain strong test coverage standards . Participate in code reviews and uphold high coding and quality standards. Debug and troubleshoot complex technical issues . 5. Collaboration & Process Work closely with cross-functional teams including product managers, designers, and QA engineers. Actively participate in Agile/Scrum development processes . Contribute to technical documentation and internal knowledge sharing. Continuously improve development processes, tools, and team efficiency . Required Qualifications Technical Skills Java Expertise: Minimum 5 years of hands-on experience in Java development. Spring Framework: Strong experience with Spring Boot and Spring Security . Hibernate / JPA: Solid knowledge of ORM concepts, entity mapping, and database optimization. Database Technologies: Experience with relational databases such as MySQL, PostgreSQL, or Oracle . Frontend Technologies: Proficiency in HTML5, CSS3, JavaScript , and modern frameworks (React, Angular, or Vue.js). Testing Frameworks: Hands-on experience with JUnit, Mockito, Cucumber , and integration testing tools. CI/CD Tools: Practical experience designing and maintaining Jenkins pipelines . Cryptography: Understanding of cryptographic principles including encryption/decryption, digital signatures, and secure key management. Containerization: Experience with Docker and Kubernetes . API Development: Experience designing and implementing RESTful APIs . Architecture Knowledge: Understanding of software architecture patterns and design principles . Agile Methodologies: Experience working within Agile/Scrum environments . Preferred Qualifications Bachelor’s degree in Computer Science, Software Engineering, or a related field. Payment industry experience: 2+ years of experience working within payment systems or financial platforms.

🏢 Summary: The role focuses on designing and delivering high-complexity, scalable backend solutions in a large-scale distributed ecosystem, combining deep Kotlin expertise with AI-driven capabilities such as LLM integrations. The engineer will drive architectural decisions, ensure production-grade quality, and integrate agentic AI systems into real-world workflows. This position requires strong ownership, autonomy, and impact on systems operating at significant scale. 🗂️ Requirements: Proven experience as Senior Software Engineer in high-scale environments, Deep hands-on experience with Kotlin, Commercial experience with LLM integration, Experience with agentic systems or frameworks, Strong system design and architectural skills, Experience with scalability, performance, and reliability, Experience ensuring observability of distributed systems, Ability to manage technical debt and system risks, Experience integrating AI solutions into production systems 📃 Skills: Kotlin, LLM, AI, Agentic, Architecture, Scalability, Performance, Observability, DistributedSystems, GCP, Kubernetes 🏢 Description: Senior Software Engineer (Kotlin / AI Integration / Large-Scale Systems) We are looking for a highly experienced Senior Software Engineer to join a large-scale product ecosystem operating in a complex, distributed environment. This role is designed for a strong Individual Contributor who thrives on solving high-complexity problems, influencing architecture, and delivering scalable, production-grade solutions. You will work at the intersection of modern backend engineering and AI-driven capabilities, helping evolve systems that operate at significant scale. The ideal candidate combines deep Kotlin expertise with curiosity and practical interest in AI-powered solutions — particularly LLM integrations and agentic frameworks — and understands how to translate technical decisions into real user impact. What You’ll Be Responsible For Designing and delivering high-complexity features and system components Driving architectural decisions and evaluating technical trade-offs Ensuring quality, scalability, reliability, and observability of delivered solutions Taking end-to-end ownership of implementation, from concept to production Identifying and managing technical risks, dependencies, and technical debt Integrating AI-driven capabilities (LLMs, agentic systems) into production workflows Collaborating closely with Engineers, Product Managers, and Designers Evaluating technical decisions based on measurable user impact Operating with high autonomy and accountability in a mature engineering environment Must Have Proven experience as a Senior Software Engineer delivering complex, high-scale solutions Deep hands-on experience with Kotlin Basic commercial experience and strong interest in AI-driven solutions , especially LLM integration and Agentic Systems/Frameworks Strong architectural mindset and ability to drive system design Experience managing scalability, performance, stability, and observability Ability to identify technical debt and proactively address system risks Strong collaboration and communication skills High level of ownership and autonomy Nice to Have Experience with Cloud environments (GCP preferred) and Kubernetes Experience working with large-scale distributed systems Cross-team collaboration in complex organizational structures Providing technical consultancy and knowledge sharing within teams Advising on engineering standards and continuous optimization of development practices

🏢 Summary: Remote Software Engineer role focused on building AI-powered data products and backend services for the logistics domain. The position involves integrating AI/ML models into production, developing AI-driven features such as chatbots and recommendation engines, and orchestrating AI pipelines. You will work with TypeScript/JavaScript, Node.js, and Python to deliver scalable, intelligent solutions. 🗂️ Requirements: 3–4 years of experience with TypeScript/JavaScript, Proven commercial experience with Node.js, Professional experience with Python, Hands-on experience integrating AI/ML models into production systems, Experience building backend services consuming AI outputs, Experience orchestrating AI pipelines, Experience designing chatbots or recommendation engines, Experience integrating LLMs into applications, Upper-Intermediate English level 📃 Skills: TypeScript, JavaScript, Node.js, Python, AI, ML, LLMs, React, Backend, APIs, Chatbots, Recommendation, Pipelines 🏢 Description: Are you passionate about building intelligent systems that transform industries? We are looking for a Software Engineer to join our team and work on cutting-edge AI-powered solutions in the logistics domain. This is a remote position, offering flexibility and the opportunity to collaborate with international teams. We at Sigma Software value innovation, quality, and teamwork, and provide our specialists with challenging projects and professional growth opportunities. Why join us? You will work on impactful AI-driven products, gain exposure to advanced technologies, and be part of a company that supports continuous learning and career development. Customer Our customer is one of Europe’s leading logistics providers, headquartered in Germany. They specialize in developing and implementing integrated supply chain systems, leveraging advanced data analytics to optimize logistics operations. Recognized for innovation and efficiency, they deliver solutions that enhance operational performance across diverse industries. Project The project focuses on developing advanced data products, including an AI assistant capable of performing analysis and providing insights based on user queries. The team is also building tools to support the client’s internal processes, integrating AI/ML models into production systems, and designing AI-powered features such as chatbots and recommendation engines. Requirements 3–4 years of development experience with TypeScript/JavaScript technology stack Proven experience with Node.js Experience with Python Hands-on experience integrating AI/ML models into production systems Experience building backend services that consume AI outputs and orchestrate AI pipelines Experience designing AI-powered features such as chatbots or recommendation engines Familiarity with integrating LLMs into applications Strong communication and multitasking skills Strong problem-solving and decision-making abilities with a focus on results Upper-Intermediate level of English WILL BE A PLUS: Experience with React Personal Profile Motivated, self-driven, and positive individual Strong communication skills Ability to multitask and manage priorities effectively Skilled in solving complex problems under tight deadlines Passionate about leveraging technology to deliver impactful results Responsibilities Design, develop, and maintain backend services using TypeScript/JavaScript and Node.js Integrate AI/ML models into production environments to support business processes Build and orchestrate AI pipelines that consume model outputs and deliver actionable insights Develop AI-powered features such as chatbots and recommendation engines Collaborate closely with cross-functional teams to ensure seamless integration of AI solutions into applications Participate in architectural discussions and contribute to solution design Ensure high-quality code through testing, reviews, and adherence to best practices Communicate effectively with stakeholders and team members to align on requirements and deliverables