Python Systems Engineer (HFT / Low Latency)

🏢 Summary: Mid-level Python engineering role focused on building data pipelines and analytical tooling for trading systems, working close to live trading infrastructure and high-resolution market data. The position involves developing libraries and monitoring frameworks to analyze execution quality and optimize trading performance in a high-performance environment. 🗂️ Requirements: 7+ years of professional Python development, Experience building libraries, data platforms, or analytical tooling, Experience with large-scale and time-series datasets, Strong knowledge of NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI practices, Familiarity with financial markets or electronic trading 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, Testing, Databases, Time-series 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Mid-Level Python Engineer role focused on building and optimizing data pipelines and analytical frameworks for trading systems in a high-performance, live market environment. The position involves processing large-scale trading data, improving execution quality, and supporting real-time monitoring within the trading stack. This is an on-site opportunity in Wroclaw with direct impact on trading efficiency and market transparency. 🗂️ Requirements: 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tooling, Strong experience with large-scale and time series datasets, Proficiency with NumPy and Pandas, Solid SQL knowledge, Experience with analytical databases, Experience working in Linux environments, Experience with testing, version control, and CI, Fluent English, Legal right to work in the European Union 📃 Skills: Python, NumPy, Pandas, SQL, Linux, CI, Git, C, C++, Rust 🏢 Description: Empower the future of trading technology — design innovative data pipelines and analytics that revolutionize market microstructure! Wroclaw-based opportunity with on-site work model. As a Mid-Level Python Engineer – Trading Systems & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in trading infrastructure. You will help build and enhance systems that analyze trading behavior, optimize execution strategies, and support high-performance live trading environments. This is a chance to directly impact the efficiency and transparency of global markets through cutting-edge engineering. Your main responsibilities: Develop Python libraries, data pipelines, and tooling to process exchange protocols, order flow, and large-scale trading data. Design analytical frameworks, metrics, and monitoring tools to evaluate execution quality and system performance. Operate close to the trading stack, working with high-resolution datasets for research and production use. Collaborate with stakeholders to translate analytical insights into measurable improvements in trading execution. Support live trading systems through data validation, pipeline reliability, and real-time monitoring. Analyze trading behavior across venues to identify inefficiencies and improve latency and fill performance. Work with research and infrastructure teams to support ongoing development of market behavior understanding. You're ideal for this role if you have: 7+ years of professional experience in Python development, building libraries, data platforms, or analytical tooling. Strong experience working with large-scale and time series datasets using tools such as NumPy and Pandas. Solid SQL knowledge and experience working with analytical databases. Excellent problem-solving skills and the ability to investigate complex data and system behaviors. Ability to translate analytical or trading-related problems into robust engineering solutions. Experience working in Linux environments, following best practices like testing, version control, and CI. Strong communication skills for collaborating across technical and non-technical teams. Familiarity with financial markets, electronic trading, or execution analysis. It is a strong plus if you have: Exposure to network protocols, packet analysis, or performance optimization techniques. Experience with lower-level programming languages such as C, C++, or Rust. Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER

🏢 Summary: The offer is for a senior Python Developer role focused on building and optimizing trading systems, data pipelines, and analytical tools that enhance execution performance and market insights. The position centers on integrating with trading infrastructure, analyzing large-scale market data, and improving latency, fill rates, and execution quality. It involves close collaboration with research and infrastructure teams to deliver robust, real-time trading solutions. 🗂️ Requirements: Bachelor’s or advanced degree in Computer Science, Engineering, Mathematics, or related quantitative field, 7+ years of professional Python development experience, Experience building libraries, data platforms, or analytical tools, Experience with large-scale and time series datasets, Strong SQL knowledge and experience with analytical databases, Experience working in Linux environments, Knowledge of software engineering best practices (testing, version control, CI), Knowledge of financial markets and electronic trading, Ability to design and maintain real-time data pipelines and monitoring systems 📃 Skills: Python, SQL, NumPy, Pandas, Linux, Git, CI, C, C++, Rust 🏢 Description: About the Client Our client, a global leader in investment management, specializes in pioneering and data-centric strategies. The firm operates across all liquid asset classes globally, harnessing technology and data science to guide their investment strategies. The team comprises experts in data, technology, research, and trading who collaboratively tackle complex problems and achieve outstanding returns. Role Summary As a Python Developer, you'll be instrumental in developing systems and tools that integrate with the trading infrastructure and market mechanisms. Your duties will involve building data pipelines, analytical tools, and libraries to enhance execution analysis and trade performance. This role has been created due to the company's expansion and its objective of further refining trading capabilities. Primary Responsibilities - Analyze trading behaviors across various venues to discover execution issues and enhance latency and fill rates. - Develop Python libraries, data pipelines, and tools to manage exchange protocols, order flows, and extensive trading datasets. - Design analytical frameworks, metrics, and monitoring systems to assess execution quality and system performance. - Oversee live trading systems with a focus on data integrity, pipeline durability, and real-time monitoring. - Collaborate with stakeholders to translate analytical insights into tangible improvements in execution performance. - Work closely with research and infrastructure teams to advance execution analysis and market behavior insights continuously. Required Skills & Experience - Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, or a related quantitative field. - Over 7 years of professional experience in Python development, including crafting libraries, data platforms, or analytical tools. - Expertise with large-scale and time series datasets utilizing tools like NumPy and Pandas. - In-depth SQL knowledge and experience with analytical databases. - Strong problem-solving skills for analyzing complex data and system behaviors. - Capability to translate analytical or trading-related challenges into reliable engineering solutions. - Experience working in Linux environments and applying best practices in software engineering such as testing, version control, and continuous integration. - Knowledge of financial markets, electronic trading, or execution analysis. - Experience with low-level programming languages such as C, C++, or Rust is advantageous. Compensation & Benefits - Competitive salary based on experience - Performance-based annual bonus - Outstanding compensation package Career Development & Growth - Clear pathways for advancement to Senior Developer and Tech Lead roles - Access to internal training resources and mentorship - Regular hackathons and allocated conference budget Ready to elevate your career? Join a team driven by innovation and collaboration. Apply today to be part of a forward-thinking company that values your expertise and supports your professional growth.

🏢 Summary: Senior Python Developer role focused on building high-performance data pipelines and monitoring solutions for low-latency trading systems. The position involves processing network packet data, developing analytics tools, and enhancing real-time trading infrastructure. It offers direct impact on trading performance within a financial technology environment. 🗂️ Requirements: Minimum 3 years of software development experience, Professional experience with Python, Experience with Shell scripting, Experience in data analytics and time series analysis, Basic knowledge of TCP/IP, UDP and Ethernet protocols, Understanding of GNU/Linux kernel and OS internals, Basic knowledge of C/C++, Fluent English, Legal right to work in the European Union 📃 Skills: Python, Shell, TCP/IP, UDP, Ethernet, Linux, GNU, C, C++, Analytics, TimeSeries 🏢 Description: Empower the Future of Trading — Shape High-Performance Data Pipelines in a Dynamic Financial Ecosystem! Wroclaw-based opportunity with on-site work model (5 on-site days per week allowed). As a Senior Python Developer – Trading Technology & Data Pipelines , you will be working for our client, a leading financial technology firm specializing in low-latency trading strategies. Join a team of innovative engineers and researchers dedicated to optimizing and transforming trading performance through cutting-edge data solutions and monitoring tools. This role offers a unique chance to directly influence trading outcomes and advance your career in financial technology. Your main responsibilities: Develop tools to collect and aggregate data from complex trading systems. Design and implement data pipelines to process network packet captures for low-latency network analysis. Build monitoring solutions with anomaly detection for network traffic and system metrics. Collaborate with the team to optimize trading strategies and improve system performance. Gain expertise in financial markets and trading technology while proposing measurable improvements. Contribute to high-performance data infrastructure supporting real-time trading decisions. Work closely with engineers to streamline data flows and enhance system reliability. You're ideal for this role if you have: At least 3 years of experience in software development, preferably in trading or finance. Strong proficiency in Python and Shell scripting. Experience in data analytics and time series analysis. Basic knowledge of TCP/IP, UDP, and Ethernet protocols. Understanding of GNU/Linux kernel and operating system internals. Fundamental knowledge of C/C++ programming. An interest in financial markets and trading technology. It is a strong plus if you have: (optional) Certifications or experience in network analysis or low-latency systems. Language Required for the role: Fluent in English, with excellent communication skills to collaborate effectively. Eligibility to work on this role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: Opportunity for a Quantitative Developer to build and optimize scalable research, analytics, and trading platforms handling large-scale real-time and historical market data. The role focuses on high-performance software development, data pipeline design, and low-latency system optimization in production environments. You will develop robust applications supporting quantitative strategy development and simulation workflows. 🗂️ Requirements: Degree in Computer Science, Engineering, Mathematics, Physics, or related field, Professional experience building and operating production software systems, Strong programming skills in Python, Strong programming skills in modern C++, Experience with SQL databases, Experience working in Linux environments, Experience with distributed systems, Knowledge of performance profiling, debugging, and optimization, Understanding of financial markets and quantitative data processing 📃 Skills: Python, C++, SQL, Linux, DistributedSystems, Profiling, Debugging, Optimization, MarketData, DataPipelines 🏢 Description: Quantitative Developer We are seeking an experienced engineer to design and develop scalable platforms supporting quantitative research, analytics, and trading workflows. The role combines software engineering, data processing, and performance optimization in environments handling large-scale real-time and historical datasets. Responsibilities: Develop and maintain research and analytics platforms used for strategy development and simulation. Build high-performance applications and libraries in Python and C++. Design scalable data pipelines and storage solutions for market data processing. Improve system reliability, automation, monitoring, and deployment processes. Optimize application and infrastructure performance for low-latency and high-throughput workloads. Collaborate closely with technical and business stakeholders to deliver production-ready solutions. Support engineering best practices and mentor junior team members. Requirements: Degree in Computer Science, Engineering, Mathematics, Physics, or a related field. Professional experience building and operating production software systems. Strong programming skills in Python and modern C++. Experience with SQL databases, Linux environments, and distributed systems. Knowledge of performance profiling, debugging, and optimization techniques. Understanding of financial markets and quantitative data processing. Strong analytical and communication skills. Nice to have: Experience with backtesting, pricing, or simulation frameworks. Familiarity with real-time market data systems. Exposure to cloud infrastructure and scalable compute environments. Background in quantitative finance, systematic trading, or financial engineering.

🏢 Summary: The offer is for an experienced Python Data Engineer to build scalable, cloud-based data and analytics solutions for global financial institutions. The role focuses on designing distributed data pipelines, enhancing system reliability, and developing financial and AI-driven data platforms. You will work with modern cloud and AI tools to advance enterprise data architecture and analytics capabilities. 🗂️ Requirements: 4+ years of professional experience in Python data or software engineering, Strong knowledge of data architecture, data modeling, and data warehousing, Advanced SQL skills and complex query writing, Experience building scalable distributed data pipelines, Hands-on experience with cloud environments (AWS preferred), Understanding of event-driven architectures, Experience with debugging and system reliability practices 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: Opportunity for an experienced Python Data Engineer to build scalable data platforms and analytics systems for global financial institutions. The role focuses on designing cloud-based data pipelines, enhancing system reliability, and integrating modern AI tools into engineering workflows. You will collaborate across distributed teams to deliver high-quality solutions in enterprise data, risk analytics, and AI-driven metadata applications. 🗂️ Requirements: 4+ years of professional experience in software or data engineering using Python, Strong knowledge of data architecture, data modeling, and data warehousing, Ability to write complex SQL queries and perform advanced debugging, Experience building scalable, distributed data pipelines in cloud environments, Experience with AWS, Familiarity with event-driven architectures 📃 Skills: Python, SQL, AWS, Databricks, Spark, PySpark, Scala, Delta, Airflow, dbt, Kafka, Kubernetes, MongoDB, Grafana, Loki, Prometheus, OpenTelemetry 🏢 Description: We are partnering with top-tier global financial institutions to scale their core technology and data infrastructure. We are looking for an experienced and product-oriented Python Data Engineer to join our technology group. In this role, you will work at the intersection of cutting-edge technology and institutional finance. You will collaborate closely with data consumers, engineering teams, and business stakeholders to push the firm's technological capabilities forward. What You’ll Do: Core Responsibilities: Design, develop, and deliver high-quality, scalable Python-based solutions. Drive engineering excellence by ensuring system reliability, automating processes, and maintaining high operational standards. Actively experiment with and integrate modern AI coding tools (e.g., Copilot, Cursor) to streamline engineering workflows. Lead design discussions, mentor junior colleagues, and communicate proactively across a geo-distributed team. Depending on the specific project or team, your focus may include: Enterprise Data Platforms: Building cloud-based (AWS) pipelines for data ingestion, streaming, and cataloging. Risk & Portfolio Analytics Systems: Developing software for financial data ingress/egress, performance/exposure monitoring, and automated reconciliation. AI & Metadata Applications: Extending AI-powered semantic data access layers and internal data catalogs. What We’re Looking For: Experience: 4+ years of professional experience in software or data engineering, specifically using Python . Data Skills: Solid understanding of data architecture, modeling, and warehousing. Excellent debugging acumen and comfort writing complex SQL statements. Cloud & Architecture: Experience building scalable, distributed pipelines in a cloud environment (preferably AWS ). Familiarity with event-driven architectures. Mindset: Impact-oriented, proactive, self-starting learner who embraces engineering automation, navigates ambiguity well, and holds themselves to high ethical standards. Nice to Have: Big Data & Orchestration: Expertise in Databricks, Spark (PySpark/Scala), Delta Lake, and orchestration tools like Airflow, dbt, or Kafka. Infrastructure & Observability: Working knowledge of Kubernetes, MongoDB, and observability stacks (Grafana, Loki, Prometheus, OpenTelemetry). Offer: Competitive compensation (30k - 45k PLN) with flexible contracting options (B2B/UoP). Premium office location in the heart of Warsaw. Comprehensive private medical and dental care. Sports card and wellness benefits. Private life insurance

🏢 Summary: The offer is for a senior Python Software Engineer responsible for improving and reinventing the software delivery lifecycle, focusing on developer tools, CI/CD, and Python package distribution. The role involves building and maintaining libraries and tooling that support secure, reliable, and scalable development across the organization. It emphasizes best practices in dependency management, testing, and cross-platform compatibility. 🗂️ Requirements: Minimum 10 years of software development experience or exceptional learning ability, BS or MS in Computer Science or related field, Expertise in Python or C++, Strong knowledge of Python, Proficiency with Python packaging tools, Strong coding skills focused on reliability, Ability to develop CI/CD scripts and developer tools, Experience with dependency management and testing practices 📃 Skills: Python, C++, CI/CD, pip, setuptools, Conda, SDLC, Git, ray, spark, TypeScript, React, Angular, Node 🏢 Description: Summary The Python Software Engineer plays a crucial role within the Technical Foundations team, responsible for developing and maintaining a robust ecosystem that empowers colleagues to produce high-quality research and production code. Main Responsibilities: As a Python Software Engineer, you will be tasked with reinventing the software delivery lifecycle and promoting best practices in software development. Reinvent the software delivery lifecycle, focusing on developer tools and CI/CD scripts for Python packages. Assemble 3rd-party tools into a unique distribution for cross-compatibility on various architectures. Promote best practices in software development, including dependency management and testing techniques. Develop libraries and tools to support SDLC, Security, Cloud, and other technical domains. Conduct technology watch and prototype modern technology solutions for firmwide challenges. Key Requirements: Minimum 10 years of software development experience or exceptional learning skills. BS or MS in Computer Science or related field. Expertise in Python or C++ with solid knowledge of Python. Proficiency with Python packaging solutions (e.g., pip, setuptools, Conda). Strong coding skills with a focus on reliability. Excellent communication skills in an international team. Nice to Have: Experience with distributed data manipulation libraries (e.g., ray, spark). Familiarity with TypeScript (React, Angular, Node).

🏢 Summary: Offer for a Python Developer to work on advanced financial and stock exchange projects, building and maintaining a secure web portal for managing financial accounts and investments. The role involves developing new functionalities, maintaining existing systems, and handling production issues within Agile teams using modern technologies. 🗂️ Requirements: Minimum 1 year of professional experience, Experience with Linux systems, Proficiency in Python programming, Knowledge of Bash scripting, Experience with Jenkins, Experience with Docker, Experience with Kubernetes, Experience with Spinnaker, Ability to work with CI/CD tools, Good written and spoken English 📃 Skills: Python, Bash, Linux, Jenkins, Spinnaker, Docker, Kubernetes, CI, CD, KVM, QEMU 🏢 Description: At Link Group we build tech teams for Fortune 500 companies and the hottest startups in the world. We run many different projects for which we are looking for experienced and talented candidates for clients from various industries. If you join us, we will make sure that the offer is tailored to your needs. We want you to receive tasks that match your interests, meet your financial expectations and, above all, will allow you to develop in the professional field. Currently, we are looking for Python developers to join our teams and work on the most advanced, innovative and diverse projects on the IT market. The project you will join is from the finance/stock exchange industry. Our client creates a web portal to manage financial accounts and make financial investments. Our Agile teams strive to use the latest technologies that ensure an appropriate level of security. Tech stack: Python, bash, Jenkins, Linux Responsibilities: Working on ambitious projects using the best technologies and standards; Generating and maintaining your code in accordance with the coding standard and best practices Designing technical solutions for new functionalities and maintaining the existing ones; Investigating, debugging, and delivering fixes for critical production incidents; Researching on the latest technologies to meet future business needs Requirements: At least 1 year of professional experience Linux system experience Python programing skills Knowledge of scripting languages like: bash, python Experience with tools: Jenkins, Spinnaker, Docker and Kubernetes Willingness to learn new tools and technology Good written and spoken English skills Nice to have: Commercial experience with Linux virtualization systems (KVM, QEMU, etc) Experience in continuous integration and continuous delivery systems We offer: Private healthcare Sport card Foreign languages classes Life insurance Cafeteria system

🏢 Summary: Senior Python Engineer role focused on building production-grade data pipelines and AI-driven systems, including LLM-based applications. The position involves designing scalable architectures, processing large datasets, and integrating modern cloud data platforms. You will work on complex, real-world data solutions used in production environments. 🗂️ Requirements: Senior-level Python experience, Strong knowledge of SQL and data processing, Experience building and maintaining data pipelines, Hands-on experience with orchestration tools (Airflow, Prefect, or Dagster), Experience with cloud data platforms (S3, BigQuery, Snowflake, or Databricks), Experience integrating LLM frameworks (LangChain or LlamaIndex), Ability to design scalable, production-ready systems 📃 Skills: Python, Pandas, NumPy, PySpark, SQL, Airflow, Prefect, Dagster, S3, BigQuery, Snowflake, Databricks, LangChain, LlamaIndex, LLM 🏢 Description: Our client is a technology consultancy that builds advanced data and AI systems for startups and enterprise companies. Their focus is on delivering production-ready solutions, especially in areas like data platforms, large-scale processing, and LLM-based applications. The Role As a Senior Python Engineer, you’ll be working on complex, data-heavy systems that go beyond prototypes. This includes designing and developing data pipelines, handling large-scale datasets, and integrating modern AI solutions (including LLMs) into real-world products. You’ll collaborate closely with experienced engineers and take part in architectural decisions, helping turn ideas into scalable, reliable systems used in production. What we’re looking for We’re looking for a strong senior-level engineer with deep experience in Python (including libraries like Pandas, NumPy, and PySpark), as well as solid knowledge of SQL and data processing. You should be comfortable working with data pipeline orchestration tools such as Airflow, Prefect, or Dagster, and have hands-on experience with modern cloud data platforms (e.g. S3, BigQuery, Snowflake, or Databricks). Experience with LLM frameworks like LangChain or LlamaIndex, especially in the context of data integration, is an important part of this role. Why join This is a great opportunity to work on real AI and data systems at scale, in a consultancy environment where engineering quality matters and you have a genuine impact on technical decisions. You’ll join a senior, low-ego team, work fully remotely from Poland, and contribute to projects for international clients.