Sr. Process Development Engineer - Pyrolysis Test

🏢 Summary: Hybrid Senior Performance Test Engineer role focused on building automated performance testing frameworks and strategies for scalable, resilient digital products. The position uses JavaScript and k6 to test APIs, web applications, and distributed systems, embed testing in CI/CD, and drive performance improvements across engineering teams. 🗂️ Requirements: JavaScript (ES6+) proficiency, Automated test framework development experience, k6 performance testing experience, Load, stress, scalability testing and performance tuning knowledge, REST API and GraphQL API testing experience, CI/CD test integration experience, Git collaborative workflow experience, Docker and Kubernetes experience, Experience with AWS, Azure, or GCP, Observability and monitoring tool experience 📃 Skills: JavaScript, k6, REST, GraphQL, GitHubActions, GitLabCI, AzureDevOps, Jenkins, Git, Docker, Kubernetes, AWS, Azure, GCP, Grafana, Prometheus, ApplicationInsights 🏢 Description: Location: Warsaw, Poland (Hybrid – 2–3 days per week from office) About the Role We are looking for a Senior Performance Test Engineer to join our engineering team and help us build highly scalable, reliable, and resilient digital solutions. In this role, you will design and implement advanced performance testing strategies, develop automation frameworks, and work closely with engineering teams to identify bottlenecks and improve system performance. You will play a key role in embedding performance engineering practices into the software development lifecycle, enabling teams to deliver high-quality products that perform reliably at scale. This is an excellent opportunity for an experienced engineer who enjoys solving complex technical challenges, working with modern cloud technologies, and influencing engineering practices across distributed teams. Key Responsibilities Design, develop, and maintain performance testing frameworks and automation solutions using JavaScript (ES6+) . Create and execute performance, load, stress, and scalability testing strategies for modern applications. Develop and maintain performance test scenarios using k6 . Test and analyze the performance of: REST APIs GraphQL APIs Web applications and distributed systems Identify performance bottlenecks and provide actionable recommendations for optimization. Collaborate with developers, architects, DevOps, and product teams to improve system scalability and reliability. Integrate performance testing into CI/CD pipelines and engineering workflows. Support performance monitoring and analysis using observability platforms. Contribute to performance engineering standards, best practices, and continuous improvement initiatives. Work effectively with global, distributed engineering teams and communicate technical findings to both technical and non-technical stakeholders. Required Skills & Experience Strong proficiency in JavaScript (ES6+) . Proven experience building automated test frameworks and reusable testing solutions. Hands-on experience with k6 performance testing . Strong understanding of performance engineering methodologies, including: Load testing Stress testing Scalability testing Performance analysis and tuning Experience testing modern web applications and APIs, including: REST APIs GraphQL APIs Experience integrating automated tests into CI/CD pipelines , using tools such as: GitHub Actions GitLab CI Azure DevOps Jenkins Strong experience with Git and collaborative software development workflows. Solid understanding of software engineering principles and modern development practices. Excellent analytical and problem-solving skills. Cloud & Infrastructure Experience Experience working with modern cloud and infrastructure technologies: Docker and containerized environments. Kubernetes and cloud-native architectures. At least one major cloud platform: AWS Microsoft Azure Google Cloud Platform (GCP) Experience with observability and monitoring tools, such as: Grafana Prometheus Application Insights Similar monitoring and analytics platforms Soft Skills & Mindset Strong communication and stakeholder management skills. Ability to influence technical decisions and drive improvements without direct authority. Passion for quality engineering, automation, and developer enablement. Continuous learning mindset and curiosity about emerging technologies. Ability to collaborate effectively across international and distributed teams. Comfortable working independently while contributing to a highly collaborative engineering culture.

🏢 Summary: Senior Python Developer role in a fast-paced, startup-style environment, owning the design and delivery of high-load, data-intensive systems. The position partners directly with clients, leads complex features from architecture through automated deployment, and helps maintain high engineering standards. 🗂️ Requirements: 5+ years of commercial software development experience, Strong professional Python experience, Expertise in Python 3.11+, Production experience with modern Python frameworks, API design experience, Database and data-driven systems knowledge, Advanced OOP, SOLID, YAGNI and TDD knowledge, Unit testing, CI/CD, Docker and deployment experience, Ability to build low-latency, scalable systems, Very good written and spoken English, Ability to work under tight deadlines and evolving requirements 📃 Skills: Python, FastAPI, Falcon, SQLAlchemy, REST, GraphQL, pytest, Docker, CICD, OOP, SOLID, YAGNI, TDD 🏢 Description: Startup Environment, High Ownership, Demanding Clients Join our startup-like environment filled with new ideas, rapid change, and a strong focus on priorities and delivery. We are looking for a Senior Python Developer - someone experienced, open-minded, and ready to take real ownership of both product and technical direction. You will work closely with demanding clients , solve complex engineering problems, and help shape ambitious, high-performance systems. This role is for engineers who enjoy responsibility, fast feedback loops, architectural challenges, and working under pressure . Your primary responsibilities beyond the will to change the world: Act as a technical partner for clients : analyze business needs, challenge requirements, and propose effective, scalable solutions Take full ownership of complex features - from concept and architecture through implementation, testing, and automated deployment Design system architecture, APIs, and data models for high-load, data-intensive systems Deliver core and business-critical components of projects Work in a dynamic, startup-style environment with changing priorities, tight deadlines, and real product pressure Proactively identify risks, bottlenecks, and technical debt , and drive improvements Ensure high code quality, performance, and reliability Support and mentor other developers, helping raise engineering standards across teams Must have: 5+ years of commercial software development experience, including strong professional experience in Python Excellent knowledge of Python 3.11+ (typing, dataclasses, modern best practices) Production experience with modern Python frameworks ( async FastAPI preferred, Falcon welcome, Async SQLAlchemy 2.0 ) Strong expertise in API design (REST, GraphQL) Solid understanding of databases and data-driven systems (relational, document, search, key-value stores) Advanced knowledge of software engineering principles (OOP, SOLID, YAGNI, TDD) Extensive experience with unit testing (pytest), CI/CD pipelines, Docker, and deployments Proven ability to build efficient, low-latency, scalable systems Confidence working with tight deadlines, pressure, and frequently evolving requirements Very good written and spoken English Strong communication skills and a proactive, ownership-oriented mindset Experience we'd appreciate, too: Experience in system architecture and technical leadership Asynchronous programming and high-concurrency systems Messaging systems and distributed architectures DDD and event-driven design Cloud and DevOps experience ( AWS / Azure ) Mentoring and influencing technical direction of projects Nice to have: Community involvement (meetups, open source, speaking) Writing technical articles or internal knowledge-sharing A list of benefits is long so we will mention only about the crucial ones: Challenging projects with real business impact Work in a startup-like environment : fast decisions, autonomy, responsibility 100% remote or office in Poland (Wrocław / Zielona Góra) Sport subscription Private healthcare

🏢 Summary: Senior Python Engineer role focused on designing, deploying, and operating production-scale AI and ML solutions. The position covers LLMs, RAG systems, data pipelines, cloud-native AI services, and MLOps across major cloud platforms. 🗂️ Requirements: Python proficiency, NumPy, Pandas, PyTorch, TensorFlow, and Transformers, Hands-on LLM experience, Machine learning, NLP, deep learning, and vector embeddings, Azure, AWS, or GCP experience, Serverless computing experience, MLOps tooling experience, Vector database experience, Docker and Kubernetes knowledge 📃 Skills: Python, NumPy, Pandas, PyTorch, TensorFlow, Transformers, OpenAI, AzureOpenAI, Anthropic, Llama, Azure, AWS, GCP, MLflow, Kubeflow, AzureML, SageMaker, Databricks, Pinecone, Chroma, FAISS, Docker, Kubernetes, REST, RAG, NLP, MLOps 🏢 Description: Position overview We are seeking a skilled Senior Python Engineer to design, develop, and deploy AI and ML driven solutions that enhance business capabilities, automate processes, and improve customer and employee experiences. The ideal candidate has a strong foundation in machine learning, large language models (LLMs), data engineering, and cloud platforms, with the ability to productionize models at scale. Responsibilities Design, build, and deploy machine learning and generative AI models, including LLMs, embeddings, transformers, and RAG pipelines. Develop scalable AI services and microservices using Python, REST APIs, and cloud native technologies. Optimize models for performance, accuracy, and cost efficiency. Work with structured and unstructured datasets for feature engineering, vectorization, and model training. Build data pipelines for training, validation, and inference. Collaborate with data engineering teams on data ingestion, storage, and governance. Implement CI/CD pipelines for machine learning models and MLOps workflows. Monitor model performance and drift, and implement retraining strategies. Manage model lifecycle processes, logging, and observability. Integrate AI systems with enterprise applications, APIs, and cloud platforms such as Azure, AWS, and GCP. Build Retrieval Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone, FAISS, Weaviate, or Azure AI Search. Ensure solutions align with enterprise security, compliance, and responsible AI standards. Work with product, engineering, domain experts, and business teams to translate requirements into technical solutions. Communicate AI capabilities and limitations to non technical stakeholders. Conduct proofs of concept (POCs), demonstrations, and conceptual solution design activities. Requirements Strong proficiency in Python, including NumPy, Pandas, PyTorch, TensorFlow, and Transformers. Hands on experience with LLMs, including OpenAI, Azure OpenAI, Anthropic, and Llama models. Experience with machine learning algorithms, natural language processing (NLP), deep learning, and vector embeddings. Experience with cloud platforms such as Azure, AWS, and GCP, including serverless computing services. Familiarity with MLOps tools such as MLflow, Kubeflow, Azure Machine Learning, Amazon SageMaker, or Databricks. Experience working with vector databases, including Pinecone, Chroma, FAISS, and Azure AI Search. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. What We Offer: Vacation days : Up to 26 business days per year. 10 illness/special days off per year (fully paid, no medical papers needed) for all contract types Health and life insurance (Luxmed) MyBenefit platform with Multisport option Internal psychological support service English language classes from the first working day Access to external learning platforms : O’Reilly, LinkedIn Learning, Udemy, and a wide catalog of diverse internal training Flexible workplace : work from the office, from home, or choose a hybrid option Tech Skills Mentoring Program Opportunities to develop as a public speaker, mentor, or technical interviewer Fully paid idle (bench) when not involved in a project Certification reimbursement (AWS, GCP, Microsoft, etc.)