Sr. Product Manager

🏢 Summary: Senior Engineer role focused on owning and evolving the query and compiler pipeline, translating complex queries into efficient, scalable execution plans. The position drives advanced optimization strategies across AST transformations and execution planning while ensuring strict correctness of query semantics. The role directly impacts system performance, scalability, and database engine reliability in a graph-oriented environment. 🗂️ Requirements: Expert-level experience in C# and .NET backend development, Strong database design experience, Proven query performance optimization experience, Experience designing and tuning database indexes, Experience with graph databases or relationship-heavy data models, Ability to analyze and optimize query execution plans, Experience profiling backend or database-heavy production systems, Strong knowledge of data structures and algorithms for database workloads, Experience maintaining database stability, replication, and sharding 📃 Skills: C#, .NET, SQL, Cypher, Gremlin, SPARQL, ANTLR, Neo4j, Memgraph, FalkorDB, RedisGraph, PostgreSQL, SQLServer, AST, Compilers, Profiling, Sharding, Replication, Indexing, Algorithms 🏢 Description: About Cerebre Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. Maintain and extend the database engine in terms of stability, replication, sharding, and observability. Required Skills Expert-level C# / .NET backend engineering. Strong database design experience. Strong query performance optimization experience. Strong experience designing and tuning database indexes. Experience with graph databases, knowledge graphs, or relationship-heavy data models. Ability to reason about query execution plans, data access patterns, and performance tradeoffs. Experience profiling backend/database-heavy systems in production. Strong understanding of data structures and algorithms as applied to database/query workloads. Preferred Skills Experience building query engines, query planners, interpreters, rule engines, or DSLs. Experience with graph query languages such as Cypher, Gremlin, SPARQL, or similar. Experience with query rewrite techniques such as predicate pushdown, plan normalization, filter combination, or traversal simplification. Experience with parser generators such as ANTLR, or hand-written parsers. Experience with graph-specific operations such as neighbor traversal, pathfinding, subgraph matching, or recursive traversals. Experience with FalkorDB, Neo4j, Memgraph, RedisGraph, SQL Server, PostgreSQL, or similar database systems. More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Senior Engineer role focused on owning and evolving a query compiler pipeline, from parsing and AST construction to optimization and execution-plan generation. The position centers on designing advanced optimization passes and rewrite rules to ensure efficient, scalable, and semantically correct query execution. The engineer will shape system architecture and improve performance across traversal, filtering, aggregation, and backend interactions. 🗂️ Requirements: Strong professional experience in C# and .NET, Experience maintaining compilers, interpreters, query planners, or rule engines, Solid understanding of parsing, ASTs, semantic validation, and query generation, Experience designing optimization passes or rewrite rules with semantic correctness, Ability to reason about execution plans and backend-aware performance tradeoffs, Proficiency in English 📃 Skills: C#, .NET, ANTLR, gRPC, ASP.NET, Parsing, AST, Compilers, Optimization, Profiling, Graph, Relational 🏢 Description: About cerebre 👇 Cerebre is on a mission to build the data foundation of the physical world. We offer a live intelligence map of facilities, built from schematics to power AI. Often called the “brain” of the digital twin, cerebre helps engineers, data scientists, and business teams understand data within the context of the plant. We collaborate with the world’s largest companies and most innovative partners who are transforming the industrial sector. Cerebre is a global team of engineers, scientists, innovators, and explorers united by a mission to help the world’s largest manufacturing facilities build and use intelligence. Our development team is made up of world-class engineers who design and deliver novel solutions. This is an opportunity to join a market-leading team that is changing how the industrial world works. If you love building and creating value in the “white space,” if you thrive with the freedom and flexibility to think outside the box, if you are passionate about working with critical thinkers who challenge the status quo, and if you aspire to work in a fast-paced environment, then we would love to meet you! We believe flexibility drives creativity and that our team should live and work where we can be our best selves. We’re 100% remote and offer a competitive time-off package to ensure time for rest and recharge. 📌 About the role We are seeking a Senior Engineer to take ownership of critical components of our query and compilation systems. In this role, you will drive the design and evolution of the compiler pipeline, from parsing and AST construction through validation, optimization, and execution-plan generation, ensuring that complex queries are translated into efficient, scalable, and reliable operations across the platform. A core responsibility of this role is leading the design and implementation of advanced optimization strategies. You will develop and refine transformation pipelines, including rewrite rules and optimization passes, that significantly improve performance while maintaining strict correctness of query semantics. This includes optimizing how data is traversed, filtered, aggregated, and executed, with a strong awareness of backend behavior and system constraints. As a senior member of the team, you will operate with a high degree of ownership in ambiguous and complex problem spaces, shaping both system architecture and technical direction. You will collaborate closely with engineers across the platform to ensure that optimizations are robust, maintainable, and aligned with real-world usage patterns. Your work will directly influence system performance, scalability, and the overall developer and user experience. ⚙️ Key Responsibilities Maintain and extend the compiler pipeline, including grammar, AST construction, validation, compilation, and execution-plan generation. Design and implement optimization passes over the AST and execution plan, such as simplification, predicate pushdown, filter combination, dead-step elimination, repetition/path rewrites, and plan normalization. Improve query performance by identifying inefficiencies in traversal, filtering, projection, aggregation, and backend interaction. Preserve correctness of query semantics while introducing compiler optimizations and refactors. 📜 Required Skills Strong professional experience in C# and .NET. Experience maintaining compilers, interpreters, query planners, rule engines, or other transformation-heavy systems. Solid understanding of parsing, ASTs, semantic validation, and code or query generation. Experience designing optimization passes or rewrite rules with strong attention to semantic correctness. Ability to reason about execution plans, performance tradeoffs, and backend-aware optimization. Proficient in English language 🎯 Preferred Skills Experience with ANTLR or similar parser generators. Experience with query engines, graph databases, relational planners, or traversal-heavy workloads. Familiarity with optimization techniques such as constant folding, canonicalization, predicate pushdown, common-subexpression elimination, and plan simplification. Experience with gRPC and ASP.NET services in production systems. Experience profiling .NET applications and improving throughput or memory behavior in execution-heavy pipelines. More about cerebre 🚀 We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: Build and productionize AI systems that reason over structured industrial knowledge graphs using LLMs, RAG, and agent-based architectures. The role focuses on integrating AI with graph data, engineering documents, and operational workflows to deliver reliable, explainable outputs. You will design scalable APIs and backend services powering AI-native industrial applications. 🗂️ Requirements: 5+ years experience in software engineering, ML engineering, or applied AI, Experience building AI systems combining structured data with LLMs, Strong experience with RAG, embeddings, and retrieval systems, Experience building production-grade AI systems, Strong Python and backend engineering experience, Experience designing scalable APIs and services 📃 Skills: Python, LLMs, RAG, Embeddings, Retrieval, APIs, Backend, PyTorch, TensorFlow, LangChain, LlamaIndex, MCP, OpenAI, HuggingFace, VectorDBs, FalkorDB, GraphDB, DotNet, Cloud 🏢 Description: About Cerebre Cerebre builds software that helps industrial companies understand and operate complex facilities. Our platform transforms engineering diagrams, operational data, and documentation into an ontology -driven knowledge graph, PlantGraph, that models equipment, instrumentation, flow, and process relationships across a facility. This foundation enables engineers and operators to reason about industrial systems with greater clarity and speed. We are now integrating advanced AI capabilities directly into this platform, enabling natural language interaction with facility data, graph-aware reasoning over engineering systems, and AI-driven workflows that operate across diagrams, documentation, and operational processes. Quick Overview Build production AI systems that reason over industrial knowledge graphs (PlantGraph) Work on LLMs, RAG, and agent-based systems solving real-world engineering problems Integrate AI with structured data, diagrams, and operational workflows Own complex, ambiguous problems end-to-end in a high-impact domain What We’re Building Cerebre is building an AI-native platform that helps industrial companies understand and operate complex facilities. At the core is PlantGraph, an ontology-driven knowledge graph that models equipment, instrumentation, and process relationships across a facility from engineering diagrams (P&IDs), documentation, and operational data. We’re now embedding AI directly into this system - enabling: natural language interaction with facility data graph-aware reasoning over engineering systems AI agents that operate across diagrams, documents, and workflows This is not generic LLM work; it’s about making AI reliable, grounded, and usable in real-world engineering environments. What You’ll Do Build AI Systems That Reason Over Structured Industrial Data Design systems that allow LLMs to interpret and reason over PlantGraph and its underlying ontology, combining graph queries, ontology structures, and engineering data into reliable, explainable outputs. Create Natural Language Interfaces Over Complex Systems Build chat-based experiences that allow users to explore facility systems, navigate diagrams, and query equipment and process relationships through conversation. Orchestrate AI Across Graphs, Documents, and Workflows Develop systems that combine: graph queries engineering documentation (P&IDs, procedures, LOTO, work orders) real-world operational context to enable accurate, traceable AI outputs. Enable AI Agents to Safely Interact with the Platform Design APIs and tools that allow AI agents to operate on PlantGraph and system capabilities, ensuring interactions are observable, reliable, and production-safe. Productionize AI Systems at Scale Turn prototypes into production systems: scalable APIs and services performance and cost optimization evaluation, monitoring, and reliability frameworks Own Ambiguous, High-Impact Problems Work across engineering, ML, and domain teams to define and solve complex problems, including identifying and addressing gaps in data, ontology, and system design. Core Engineering Challenges Grounding LLMs in structured graph data Reliable agent workflows across multiple data sources Query optimization across graph + vector + document systems Ensuring correctness, traceability, and validation in AI outputs Building production-grade AI systems for real-world industrial use Required Qualifications 5+ years in software engineering, ML engineering, or applied AI Experience building AI systems that combine structured data with LLMs Strong experience with RAG, embeddings, and retrieval systems Experience building production AI systems (not just prototypes) Strong Python and backend engineering experience Experience designing scalable APIs and services Ability to take ownership of complex, ambiguous problems Preferred Qualifications Experience with LLM agents or tool-based AI systems that interact with external systems via APIs or structured tools, including familiarity with emerging standards such as MCP Knowledge graph or graph database experience Exposure to industrial systems, P&IDs, or engineering workflows Experience with PyTorch / TensorFlow  Distributed systems / cloud infrastructure experience Tech Stack LLMs: OpenAI, open-source models (Hugging Face) AI Frameworks: LangChain, LlamaIndex, MCP ML: PyTorch, TensorFlow Data: Vector DBs, FalkorDB (graph), hybrid retrieval systems supporting PlantGraph and structured reasoning over engineering data Backend: Python services & APIs Frontend: .NET-based applications Why This Role This is a chance to work on real AI problems that matter, not generic chatbots or isolated prototypes, but systems used to operate real-world infrastructure. You’ll be building AI that: reasons over structured engineering systems integrates deeply into workflows must be correct, explainable, and production-ready More about Cerebre We are cross-functional collaborators. We blend manufacturing process knowledge with software and big data engineering expertise to create value in physical settings We are experienced. We are armed with industry-leading experts in numerical simulation, combustion, power, computational fluid dynamics, and chemical process modeling We are serious builders. We develop our platforms using leading practices in IT/OT architecture, OT security, AI architecture, ML Ops, and Platform engineering

🏢 Summary: The offer is for an experienced Java Developer to build and integrate AI-driven backend solutions, including AI agents and LLM-powered services, within scalable distributed systems. The role focuses on designing reasoning pipelines, vector search integrations, and data-heavy architectures using modern AI tooling. You will contribute to architecture design, code quality, and AI-based system development in a collaborative environment. 🗂️ Requirements: Minimum 3 years of professional Java experience, Strong backend development skills, Experience with Spring Boot, Experience with Docker, Experience with Spring AI, Experience integrating LLMs into applications, Understanding of vector databases, Experience with AWS Bedrock, Experience with LangChain4j, Knowledge of embeddings, Knowledge of prompt engineering basics, Knowledge of retrieval-augmented generation (RAG), Understanding of Model Context Protocol, Experience building scalable distributed systems, Experience designing AI agents and reasoning pipelines 📃 Skills: Java, SpringBoot, Docker, SpringAI, OpenAI, Anthropic, Milvus, Pinecone, Qdrant, Elasticsearch, AWS, Bedrock, LangChain4j, Embeddings, RAG, MCP 🏢 Description: We are looking for an experienced Java Developer with strong backend engineering skills and proven experience in AI-related technologies and frameworks. The ideal candidate has at least 3 years of professional Java experience, writes clean, maintainable code, and is comfortable working on scalable distributed systems. A strong interest in data, AI-driven applications, vector search, and modern LLM tooling is highly valued. We are looking for a team player who thrives in collaborative environments, enjoys knowledge sharing, and contributes actively to technical discussions and solution design. Key Responsibilities Designing and implementing AI agents with reasoning pipelines (e.g. multi-step workflows, tool usage, RAG-based decision making) Integrating AI capabilities such as LLM-powered services, semantic search, and intelligent automation Contributing to scalable architectures for data- and event-driven systems Improving, refactoring, and maintaining existing codebases Designing tasks in collaboration with the Team Lead and Product Owner Participating in code reviews, architecture discussions, and knowledge sharing Contribute to the design of scalable architectures for data-heavy and AI-driven services Collaborate closely with the Team Lead and Product Owner to design tasks and shape technical solutions Participate in code reviews, architecture discussions, and knowledge-sharing sessions Required Skills & Technology: English min B2 + Polish or C1 Experience - minimum 3 years Java: Spring Boot Docker AI-related: Spring AI Experience integrating LLMs into applications (OpenAI API, Anthropic, local inference, etc.) Understanding of vector databases (Milvus, Pinecone, Qdrant, Elasticsearch vector search, or similar) AWS Bedrock LangChain4j Knowledge of embeddings, prompt engineering basics, and retrieval-augmented generation (RAG) Understanding Model Context Protocol Nice to Have: Redis Mongo DB AI-related: Experience with AI/ML frameworks or orchestration libraries (LangChain4j, Spring AI, Embabel, Haystack, etc.) Familiarity with LLM model lifecycle: prompt design, evaluation, latency considerations, cost/performance trade-offs Experience with Ollama / vLLM Experience with streaming architectures for AI pipelines (i.e. Kafka Streams) Experience with document processing, OCR, or semantic search Perks in the office: Modern office full of coffee, snacks, and beverages Bike parking, great location of the office Benefits: Training budget for self-development, courses, conferences, and more A smart benefits platform that lets you easily manage subscriptions and purchases — including sports and lunch cards. Flat structure and small teams International project Team Events Private healthcare, Life & group insurance We celebrate birthdays and other important employee events Recruitment process: Screening (15-30 min) -> We want to get to know you and answer your questions - it is up to you how much time we need. Recruiting Task - Show your skills :) We will send you a task, you decide how much time you need to complete it. Video call (1h/2h)-> Let's talk about your coding style, exchange experiences, and get to know each other a little better. Data Sharing - the best way to better data. We are passionate about new technologies and we constantly improve our stack. There is always enough room to learn the ropes as we provide internal and external training and education. We are looking for a person who loves high-quality of code and who is interested in big sets of data. 90% of the world's data has been produced in just the last two years. Our mission is to help companies with our innovative Data Quality Services. CDQ is the first company in the market to leverage Data Sharing as the best way to better data. Our customers share data quality rules, enrich their data from publicly shared sources, exchange hand-validated data records, and alert each other of data fraud. The result of collaborative master data management: Higher efficiency, shared efforts, better quality, less risks. With our cloud-based software platform, CDQ can provide Data Quality as a Service – customers' master data is monitored and updated continuously, using our Data Quality Tools software or fully integrated with their ERP or CRM systems.

🏢 Summary: The offer is for a Principal Software Engineer to lead technical strategy and architecture for a high-impact US-based project, with strong hands-on involvement in .NET and Azure environments. The role combines senior-level technical leadership, system design ownership, and the integration of AI/GenAI capabilities into products and engineering workflows. It requires operating strategically within complex global structures while driving scalable, secure solutions. 🗂️ Requirements: Extensive experience as Principal Engineer or senior engineering leader, Strong hands-on expertise in .NET, Strong hands-on expertise in Azure, Proven experience in large, complex global organizations, Practical experience with AI and GenAI solutions, Strong architectural and system design experience, Ability to define technical strategy and architecture, Experience mentoring senior engineers, English proficiency at C1 level 📃 Skills: .NET, Azure, AI, GenAI, Architecture, SystemDesign 🏢 Description: Working as a Principal Software Engineer, you will: Lead and drive technical strategy for a high-impact US-based project within the Sightline domain Operate at a senior leadership level, partnering with stakeholders across a complex, global organization Provide hands-on technical guidance in .NET and Azure environments, ensuring scalable and secure solutions Champion the adoption and integration of AI and GenAI capabilities across the product and engineering workflows Collaborate with cross-functional teams to define architecture, technical direction, and best practices Act as a key decision-maker in system design, balancing business needs with technical excellence Mentor senior engineers and support the growth of engineering teams Navigate and influence large organizational structures, ensuring alignment across multiple stakeholders Communicate effectively with both technical and non-technical audiences, translating complex concepts into clear insights Contribute to building a strong engineering culture focused on innovation, collaboration, and continuous improvement About Chabre IT Services Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions,  smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality. About our Client Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver endto-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Qualifications Extensive experience as a Principal Engineer, Engineering Manager, or Senior Manager-level leader Strong hands-on expertise in .NET and Azure Proven experience working in large, global organizations with complex structures (e.g., companies like PwC or similar) Solid understanding and practical experience with AI/GenAI solutions and their application in software development Strong architectural and system design experience Excellent communication skills, with the ability to engage confidently with diverse stakeholders Balanced personality: communicative and open, yet thoughtful and professional Experience mentoring and influencing senior engineers and technical teams Ability to operate strategically while remaining close to the technology English proficiency at C1 level We offer Rate up to 180,00 PLN /h + VAT Remote work Subsidy for peripherals in the amount of 500,00zł Working tool (MacBook Pro or Lenovo Legion 5) Co-financing of courses related to the position Benefits: MultiSport, Medicover

🏢 Summary: The offer is for a Principal Software Engineer to lead technical strategy and architecture for a high-impact US-based project within the Sightline domain. The role combines hands-on development in .NET and Azure with strategic leadership, driving scalable, secure solutions and integrating AI/GenAI capabilities. It involves system design ownership and guiding engineering teams in complex, global environments. 🗂️ Requirements: Extensive experience as Principal Engineer or Engineering Manager, Strong hands-on experience with .NET, Strong hands-on experience with Azure, Proven experience in large, complex global organizations, Practical experience with AI and GenAI in software development, Strong architecture and system design expertise, Ability to lead technical strategy and system design decisions 📃 Skills: .NET, Azure, AI, GenAI, Architecture, SystemDesign, Cloud, C# 🏢 Description: Working as a Principal Software Engineer, you will: Lead and drive technical strategy for a high-impact US-based project within the Sightline domain Operate at a senior leadership level, partnering with stakeholders across a complex, global organization Provide hands-on technical guidance in .NET and Azure environments, ensuring scalable and secure solutions Champion the adoption and integration of AI and GenAI capabilities across the product and engineering workflows Collaborate with cross-functional teams to define architecture, technical direction, and best practices Act as a key decision-maker in system design, balancing business needs with technical excellence Mentor senior engineers and support the growth of engineering teams Navigate and influence large organizational structures, ensuring alignment across multiple stakeholders Communicate effectively with both technical and non-technical audiences, translating complex concepts into clear insights Contribute to building a strong engineering culture focused on innovation, collaboration, and continuous improvement About Chabre IT Services Chabre IT Services is a global professional IT services provider, building long-lasting relationships with Enterprises. We specialize in the delivery of tailor-made solutions,  smart outsourcing, try&hire, and success fee services. We are a smart IT boutique with unique knowledge, which will deliver your ideas into reality. About our Client Our client is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. It operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver endto-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Qualifications Extensive experience as a Principal Engineer, Engineering Manager, or Senior Manager-level leader Strong hands-on expertise in .NET and Azure Proven experience working in large, global organizations with complex structures (e.g., companies like PwC or similar) Solid understanding and practical experience with AI/GenAI solutions and their application in software development Strong architectural and system design experience Excellent communication skills, with the ability to engage confidently with diverse stakeholders Balanced personality: communicative and open, yet thoughtful and professional Experience mentoring and influencing senior engineers and technical teams Ability to operate strategically while remaining close to the technology English proficiency at C1 level We offer Rate up to 180,00 PLN /h + VAT Remote work Subsidy for peripherals in the amount of 500,00zł Working tool (MacBook Pro or Lenovo Legion 5) Co-financing of courses related to the position Benefits: MultiSport, Medicover

🏢 Summary: The offer is for a DevOps Engineer responsible for maintaining and developing production infrastructure for a large-scale, real-time, multi-tenant AI and big data platform. The role focuses on ensuring reliability, scalability, and automation of cloud-based systems while collaborating closely with backend engineers. It involves designing infrastructure solutions, improving CI/CD processes, and supporting high-traffic, data-intensive environments. 🗂️ Requirements: Experience with production systems in cloud environments (Azure preferred), Good knowledge of Linux systems, Understanding of basic networking concepts, Experience with CI/CD pipelines, Experience with Infrastructure as Code tools, Hands-on experience with Kubernetes or container platforms, Experience with automation of deployments and infrastructure provisioning, Experience with incident handling and root cause analysis, Hands-on use of AI coding tools in software engineering work 📃 Skills: Azure, Linux, Networking, CI/CD, IaC, Kubernetes, Containers, Kafka, Databases, Monitoring, Observability, Security, AI, Claude, Cursor, Copilot 🏢 Description: We successfully deliver an all-in-one tool - Synerise (YouTube link) . An ever-evolving behavioral data platform, enhanced by AI to generate outstanding ROI in more than 30 markets for industry leaders in Retail, Banking, eCommerce, Automotive, Insurance, and Telco, processing more than 150 billion transactions annually. However, we don't limit ourselves solely to this solution. We're building BaseModel (website link) - a foundation model for behavioral data embedded within a novel platform for enterprise Data Science teams, that is another step on our path to create innovation in AI and demonstrate its potential for the business world. ‍ Having such great solutions, we are looking for a highly motivated DevOps Engineer  to join our brave and brilliant Synerise Team. See if you fit our diverse and dynamic environment, where we constantly evolve together with the growth of our clients. ‍ What will you do on a daily basis? Maintain and develop production infrastructure for a large-scale, real-time multi-tenant platform. Work closely with backend engineers to support reliability, scalability, and availability of services. Implement and improve automation for deployments, infrastructure provisioning, and operational tasks. Participate in incident handling, root cause analysis, and post-incident improvements. Take responsibility of designing new infrastructure solutions and initiatives. What will make us a perfect match? Experience working with production systems in cloud environments (Azure preferred). Good understanding of Linux systems and basic networking concepts. Familiarity with CI/CD pipelines and Infrastructure as Code tools. Hands-on experience with Kubernetes or container-based platforms. Willingness to take responsibility for the quality and stability of systems you work on. Practical, problem-solving mindset and openness to learning new technologies. Hands-on experience using AI coding (e.g., Claude Code, Cursor, GitHub Copilot) as part of daily software engineering work. What will convince us even more? Exposure to data-heavy or event-driven systems (e.g. Kafka, multi-terabyte databases). Basic knowledge of monitoring, alerting, and observability practices and tooling. Interest in system performance, reliability, or cloud cost efficiency. Awareness of security considerations in cloud and infrastructure environments. Exposure to infrastructure handling large traffic volumes and data throughput. What can we provide for you? Work on a production-grade product used by enterprise customers in the AI and big data domain. Opportunity to grow technically while working with real-world, distributed systems at scale. Support from experienced engineers and space to take on more responsibility over time. Influence on day-to-day technical decisions within your team. Fully remote work model.

🏢 Summary: Principal Software Engineer role focused on leading the architectural evolution of a complex SaaS platform, solving advanced backend challenges, and setting engineering standards across teams. The position combines deep hands-on development in a .NET monolith and microservices environment with high-level architectural ownership. It requires strong technical judgment to guide large-scale system design, performance optimization, and AI-native capabilities. 🗂️ Requirements: 8+ years backend engineering experience, Expert knowledge of C#, Expert knowledge of modern .NET, Experience in Staff/Principal/Senior Tech Lead role, Experience architecting large-scale monolithic and distributed systems, Expert SQL and database design skills, Experience diagnosing and optimizing slow production queries, Deep expertise with Entity Framework, Strong understanding of DDD and clean architecture, Experience defining backend engineering standards, Experience with test automation strategies, Strong English communication skills, Hands-on experience with AI coding tools 📃 Skills: C#, .NET, SQL, EntityFramework, AzureSQL, SQLServer, DDD, CleanArchitecture, MassTransit, AzureServiceBus, OpenTelemetry, Grafana, Azure, AzureDevOps, Angular, Cursor, Claude 🏢 Description: Principal Platform Engineer at Manufacturo 190-260 PLN/H Hybrid – Kraków B2B role Manufacturo powers operations for companies building satellites, fusion reactors, next-generation aircraft, and hypersonic vehicles. Our clients are working on some of the most advanced industrial programs in the world — and they rely on software that can keep up. Companies such as Hermeus, Relativity Space, and Sierra Space use Manufacturo to run complex manufacturing operations with greater control, traceability, and speed. We're a SaaS company with a team that includes former leaders from SpaceX. We move fast, operate globally, and make decisions swiftly - because the people we serve can't afford anything less. Your voice will be heard here, and the work you do will have a real impact on the world. We are hiring a Principal Software Engineer to help shape the technical future of our platform. This role is for someone who wants to solve hard backend problems, guide architecture with sound judgment, and raise the level of other engineers through mentorship, communication, and strong engineering standards. The Role As a Principal Platform Engineer at Manufacturo, you'll work at both levels: deep in the hardest problems on the platform, and wide enough to set the standard for others to follow. You'll define the architecture, raise the quality bar, and make sure the right technical decisions are made, not by directing from a distance, but by being the person in the room whose opinion carries weight because the work backs it up. This role requires both deep hands-on technical contribution and the ability to multiply the impact of others. We need someone who can take on the hardest problems while also helping senior developers and leads make better technical decisions through teaching, feedback, and clear standards. You will report directly to the Director of Software Engineering and act as their technical partner across the organization. This is a individual contributor role with no people management responsibilities. You should be comfortable working in a high-change environment where priorities evolve, new information appears quickly, and strong technical judgment is needed to keep teams moving in the right direction without losing quality. What you'll do Own the architecture and technical direction of the platform’s core Tackle the hardest engineering problems, including performance bottlenecks, complex integrations, and architectural evolution Define and evolve backend engineering standards across all teams Lead design reviews and author RFCs/ADRs for high-impact technical decisions Partner with the Director of Software Engineering, Product, and engineering leadership to assess technical feasibility early, shape direction, and resolve tradeoffs before they become delivery problems Mentor senior engineers code reviews, architecture workshops, pair programming, technical discussions, and tech talks that improve how the organization designs, builds, and operates software Raise the quality bar across the backend through example, teaching, and clear standards Required skills & experience 8+ years of backend engineering experience, with deep, proven mastery of C# and modern .NET A demonstrated track record operating successfully in a Staff Engineer, Principal Engineer, or Senior Tech Lead role Proven experience architecting, building, and owning large, complex systems end-to-end, including both monolithic and distributed architectures Expert-level SQL and database design skills, including diagnosing slow queries in production and designing schemas that hold up under real load Deep practical expertise with Entity Framework, including performance tradeoffs, query behavior, and data access strategy Strong architectural judgment and experience applying concepts such as DDD and clean architecture pragmatically A strong quality mindset, including test automation strategy and clear standards for what “done” means Strong written and verbal communication skills in English — you are comfortable explaining technical tradeoffs, mentoring other engineers, leading code reviews, and facilitating architecture discussions Enthusiasm for and hands-on proficiency with AI coding tools such as Cursor and Claude Code as productivity multipliers Nice to have You'll stand out if you bring any of the following: Hands-on experience with cloud infrastructure at scale, with Azure being a strong advantage Experience with Angular or a modern frontend framework - enough to make informed architectural decisions across the full stack Familiarity with Azure DevOps and CI/CD pipeline design at an organizational level, not just usage Experience designing for compliance-driven deployment constraints - data sovereignty, tenant isolation, and schema management across numbers of independent databases Background or genuine curiosity about Manufacturing Execution Systems (MES) -understanding the domain makes the hardest problems tractable Our tech stack Backend: .NET, C#, Entity Framework, SQL Server / Azure SQL Messaging: Azure Service Bus, MassTransit Observability: OpenTelemetry, Grafana stack Frontend: Angular, our own Angular Component Library Cloud: Azure CI/CD: Azure DevOps AI tooling: Cursor, Claude Code, and other modern AI-assisted development tools What you’ll get in return Real authority, real access. Direct collaboration with the CPO and Director of Development. Your decisions will be heard, debated, and acted on - with organizational backing to make standards stick. Customers building the next century. Rockets, fusion reactors, hypersonic systems. The problems you solve here have consequences that matter. People who will match you. You'll work alongside engineers and leaders with backgrounds from SpaceX and other high-bar organizations. Expect to be challenged, not just followed. AI at the foundation, not the edge. You'll be building the architecture that makes AI native to the platform - not retrofitting it later. Hybrid working with three days in our Kraków office, comprehensive healthcare including life insurance, and a Multisport Card. This role is for someone serious about their craft. If that is you, we would like to talk.

🏢 Summary: AI Product Manager role focused on defining and delivering AI-enhanced capabilities for a framework-agnostic UI component library, embedding agentic workflows and automated SDLC tooling into engineering practices. The position owns the product roadmap, backlog, and stakeholder alignment to drive measurable outcomes in an AI-powered development environment. 🗂️ Requirements: 3+ years experience as Product Owner or Product Manager in software engineering, Experience managing complex backlogs across multiple workstreams, Strong knowledge of Scrum and Kanban frameworks, PMBOK knowledge, Working knowledge of AI/LLM-powered tooling and prompt engineering, Understanding of agentic workflows and MCP concepts, Experience with CI/CD pipelines and SDLC automation, Experience with GitLab and automated code review tools, Ability to define acceptance criteria for AI features, Experience with delivery metrics and data-driven prioritization, Ability to produce PRDs and structured technical documentation, Business-level English (C1+) 📃 Skills: AI, LLM, MCP, CI/CD, GitLab, Scrum, Kanban, PMBOK, SDLC, LangChain, SemanticKernel, CrewAI, PowerBI, Grafana, Stencil, HTML 🏢 Description: (#5027) About the Role: AI Product Manager responsible for driving the success of AI products by combining expertise in product management principles with a deep understanding of AI technologies and their applications. We are looking for an AI-savvy Product Manager to join the project programme for our Client. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice. In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context. About the Client: Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software. Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc. Responsibilities: Product Strategy & Roadmap Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives. Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices. Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership. AI & Agentic Infrastructure Ownership Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines. Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle. Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents. Backlog & Delivery Management Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality. Coordinate and execute releases planning and scope management Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers. Stakeholder Alignment & Communication Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication. Produce executive-level product roadmaps reports aligned to Company’s brand guidelines. Identify, track, and escalate risks and dependencies in the delivery timeline. Consumer & Quality Focus Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers. Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria. Key Skills & Requirements: Product Ownership 3+ years of experience as a Product Owner or Product Manager in a software engineering environment. Proven track record of managing complex backlogs with competing priorities across multiple workstreams. Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas. AI & Technical Fluency Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts. Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams. Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM. Stakeholder & Delivery Management Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model. Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers). Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation. Communication & Documentation Excellent written and verbal communication in English (business-level required; C1+). Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations. Nice to have: Experience with UI platform or design system products (component libraries, Stencil.js, web components). Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns. Background working within large enterprise engineering organisations. Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting. Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports). Certifications: Advantageous AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate) ITIL 4 Foundation — for service and change management context in enterprise delivery

🏢 Summary: Executive technical leadership role to scale and evolve a global AI-driven brand compliance platform built on cloud-native architecture. The position focuses on defining technical vision, overseeing scalable and resilient systems on GCP, and integrating AI/ML into production-grade products. The mission is to transform the engineering organization into a high-performance team while maintaining startup agility. 🗂️ Requirements: Proven experience as CTO, VP Engineering, or Head of Tech in startup environment, Expert knowledge of Java, Python, and React, Strong experience with cloud-native architectures on GCP, Experience building data-intensive platforms, Experience integrating AI/ML into production systems, Experience designing scalable microservices architectures, Experience with event-driven systems, Ability to define and execute technical strategy, Experience leading and scaling cross-functional engineering teams 📃 Skills: Java, Python, React, GCP, Microservices, GraphQL, AI, ML, NLP, DevOps, QA, Cloud, Architecture, Event-driven 🏢 Description: What’s at stake? We’re changing the rules of the game in global brand compliance. Our product is in an extremely dynamic phase of development, and the largest e-commerce platforms on the market are already taking a direct interest in our innovative approach. What gives us a massive advantage is access to unique datasets—powerful fuel for building advanced AI-based solutions. We’re looking for a leader who will step up and take our product to the very top! Your mission and challenge : We need a technological visionary who will take the helm and transform our product and engineering organization into a high-performance machine. You must know how to scale processes and architecture without losing the agility and startup spirit that drives us. Our Tech Stack We build on a robust and modern foundation: Backend: Java (modern frameworks, microservices architecture). Frontend: React (building intuitive, data-rich management dashboards). AI/ML Module: Python (dedicated models for natural language processing of regulations and automated decision-making). Infrastructure: Google Cloud Platform (GCP). Engineering Philosophy: High focus on "Compliance by Design," high availability, and seamless integration with global regulatory data sources. Key Responsibilities Technical Strategy: Define the long-term technical vision and roadmap, ensuring the platform remains "right by design" and scalable for global markets. Architecture Oversight: Oversee the evolution of the GCP and Event-driven infrastructure, ensuring high resilience and security. Team Leadership: Scale and mentor a cross-functional engineering team (Software, Data, AI, DevOps, QA), fostering a culture of high velocity and low ego. Product-Tech Alignment: Collaborate with stakeholders to translate complex burdens into elegant, automated digital products. Innovation: Drive the integration of AI/ML and GraphQL layers. Requirements Leadership: Proven experience in executive technical leadership (CTO, VP Engineering, or Head of Tech) in a fast-paced startup environment. Deep Technical Roots: Expert knowledge of modern stacks (java, python, react) and cloud-native architectures (GCP). Data & AI Vision: Experience building data-heavy platforms and integrating AI/ML into production workflows. Business Acumen: Ability to align technical decisions with commercial goals and regulatory requirements. Mindset: A pragmatic leader who stays "close to the code," values ownership, and thrives on solving high-impact problems.