Staff Python Engineer

🏢 Summary: Staff Python Engineer role focused on building a greenfield large-scale distributed backend platform for advanced manufacturing environments. The position involves defining architecture, APIs, integrations, and event-driven systems with high scalability and reliability requirements. Candidates will lead technical decisions, optimize system performance, and develop enterprise-grade backend solutions. 🗂️ Requirements: 8+ years of software engineering experience, Extensive Python development experience, Experience designing large-scale distributed systems, Strong software architecture and system design expertise, Understanding of microservices and distributed system patterns, Experience designing scalable APIs, Experience with enterprise integrations, Strong database design and data modeling skills, Experience with concurrency and performance optimization, Experience with high-availability systems, Ability to make architectural decisions, Experience mentoring engineers, Fluent English 📃 Skills: Python, Microservices, APIs, Databases, Concurrency, Performance, Scalability, Architecture, Integration, Modeling 🏢 Description: We are looking for a Staff Python Engineer to join a greenfield initiative building a large-scale distributed backend platform for advanced manufacturing environments. The role focuses on defining system architecture, APIs, and data flows for highly scalable, event-driven systems with complex integrations and strong reliability requirements. ✅ Your responsibilities: Lead the design and implementation of large-scale distributed systems Define backend architecture, APIs, and data models Drive technical decisions across multiple services and components Design scalable integrations with enterprise platforms and external systems Build reliable data pipelines and event-driven workflows Improve system performance, resilience, and scalability 🧠 Our requirements: 8+ years of software engineering experience, including extensive Python development Proven experience designing large-scale distributed systems Strong software architecture and system design expertise Deep understanding of microservices and distributed system patterns Experience designing scalable APIs and enterprise integrations Strong database design and data modeling skills Experience with concurrency, performance optimization, and high-availability systems Ability to make architectural decisions and balance technical trade-offs Experience mentoring engineers and driving engineering excellence Fluent English ⭐ Nice to have: Experience with MES / manufacturing / industrial systems Knowledge of BOM, MRP, shopfloor, traceability Exposure to IoT / hardware integrations Experience with data streaming / cloud-native systems 🌟 What we offer: Private healthcare Multisport Life insurance Opportunity to build a greenfield production-critical platform from scratch High ownership over architecture and technical direction Work at the intersection of software and physical manufacturing systems Strong R&D engineering environment

🏢 Summary: The offer is for a Staff Python Engineer to lead and evolve a complex, real-time distributed backend system built in Python and Rust for an AI product. The role involves owning core infrastructure components, delivering large initiatives end-to-end, and resolving complex production issues in cloud-based environments. It requires strong expertise in high-performance systems, networking, and reliability at scale. 🗂️ Requirements: 10+ years of Python development experience at Staff/Principal level, Strong experience with Python Asyncio, Strong software design skills, Experience with at least one strongly typed language (Rust, C++, Go, Swift, or Java), Deep understanding of networking protocols, Deep understanding of operating systems, Experience with Python profiling, Experience delivering and troubleshooting production-grade cloud-based distributed systems, Experience with real-time low-level systems (kernel, drivers, RTOS), Experience with Kubernetes and Helm, Experience with observability stacks, Experience with gRPC and troubleshooting, Experience contributing to open-source projects, BSc in Software Development or equivalent experience 📃 Skills: Python, Asyncio, Rust, C++, Go, Swift, Java, Networking, Linux, Profiling, Kubernetes, Helm, gRPC, LLM, RTOS, Kernel, Drivers, Cloud, DistributedSystems, Observability 🏢 Description: For our international client - AI product company - we are looking for an experienced Staff Python Engineer. RESPONSIBILITIES Own parts of our core backend infrastructure, which is a complex, real-time distributed system written in Python and Rust. Own big initiatives end-to-end and deliver them with minimal guidance. Troubleshoot highly complex production issues. Constantly improve our development velocity while maintaining a very high reliability standard. REQUIREMENTS 10+ years of experience in Python development as a Staff/Principal Engineer. Strong Python Asyncio experience. Strong software design skills. Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc). Deep understanding of Networking Protocols, Operating Systems. Deep knowledge of Python Profiling. Experience in delivering and troubleshooting a production-grade cloud-based distributed system and a real-time low-level system (e.g. kernel, drivers, RTOS). Experience with Kubernetes, Helm and different observability stacks. Strong LLM prompting skills, but also being able to work without them. Experience with gRPC and its troubleshooting. Being a contributor or maintainer of an open-source package. Excellent communication skills, both verbal and written. BSc in Software Development or equivalent industry experience. NICE TO HAVE An understanding of one of the following: WebRTC, STUN/TURN, SIP, RTP, HLS, RTMP. Having worked with Rust and PyO3. Audio programming experien. WHAT DO WE OFFER ON THIS PROJECT? Cooperation based on a B2B contract and rate paid in USD. 100% remote work. The support of a dedicated mentor. In the relationship, we focus on direct communication. When you join speedapp, you will be put in touch with a dedicated mentor who will make sure that you enjoy working with us and with the client. Events and integration meetings, as well as participation in various initiatives, e.g., sports. Access to the benefits offering (medical care, life insurance, Multisport card). WHAT DOES THE RECRUITMENT PROCESS LOOK LIKE? Application: Apply and submit your CV. After the application review, the recruiter will contact selected candidates by phone. Screening: Have a conversation with a speedapp recruiter about your experience. Next steps: The speedapp recruiter will explain the recruitment process for the specific position. The speedapp recruiter will stay in touch with you throughout the entire process. ABOUT SPEEDAPP At speedapp, we believe that an organization is only as good as the people who make it up. We are a team of IT experts and other professionals working for our clients around the world (including Israel, Austria, USA). We go far beyond the HR category. We build IT teams and also help manage them. 👉 10 years of experience 👉 +100 clients worldwide 👉 +300 hires per year 💎 We have won the prestigious "Forbes Diamonds" award four times (2022, 2023, 2024, 2025). We are a member of the European Fast Growth Icons network and FinTech Poland. We are ranked 18th among the 100 fastest growing companies 2023 by Clutch. DO YOU HAVE ANY QUESTIONS? Contact the recruiter responsible for this process directly. Anna Więckowska Junior IT Delivery Consultant anna.wieckowska@speedapp.pl

🏢 Summary: Staff Java Engineer role focused on building a greenfield, large-scale distributed backend platform for advanced manufacturing environments. The position involves designing scalable event-driven architectures, microservices, APIs, and integrations with manufacturing and ERP systems. Candidates will drive technical direction, reliability, and engineering standards in a high-ownership R&D environment. 🗂️ Requirements: 8+ years in backend or distributed systems engineering, Strong expertise in Java, Experience with large-scale distributed architectures, Strong understanding of microservices, Experience with API design, Experience with event-driven systems, Experience with system integrations, Data modeling skills, Database design skills, Ability to work in greenfield or ambiguous R&D environments, Strong communication skills, Mentoring skills 📃 Skills: Java, Microservices, APIs, ERP, MES, IoT, BOM, MRP, Shopfloor, Traceability, Databases, Streaming, Cloud-native 🏢 Description: We are looking for a Staff Java Engineer to join a greenfield initiative building a large-scale distributed backend platform for advanced manufacturing environments. The role focuses on defining system architecture , APIs , and data flows for highly scalable, event-driven systems with complex integrations and strong reliability requirements . ✅ Your responsibilities: Design and evolve distributed backend architecture for a high-scale production platform Define system architecture, APIs, and data models across multiple domains Build microservices and integration layers connecting ERP, vendors, and manufacturing systems Design and implement event-driven data flows and workflows Evaluate and adapt enterprise and open-source solutions to guide architecture decisions Drive engineering standards, reliability, and scalability practices Collaborate with R&D engineers and manufacturing domain experts 🧠 Our requirements: 8+ years in backend / distributed systems engineering Strong expertise in Java and system design Proven experience with large-scale distributed architectures Strong understanding of microservices and API design Experience with event-driven systems and integrations Solid data modeling and database design skills Ability to work in R&D / ambiguous, greenfield environments Strong communication and mentoring skills ⭐ Nice to have: Experience with MES / manufacturing / industrial systems Knowledge of BOM, MRP, shopfloor, traceability Exposure to IoT / hardware integrations Experience with data streaming / cloud-native systems 🌟 What we offer: Private healthcare Multisport Life insurance Opportunity to build a greenfield production-critical platform from scratch High ownership over architecture and technical direction Work at the intersection of software and physical manufacturing systems Strong R&D engineering environment

🏢 Summary: Staff Java Engineer role for a greenfield initiative building a large-scale, distributed backend platform for advanced manufacturing environments. The position focuses on defining system architecture, APIs, and event-driven data flows, ensuring scalability, reliability, and complex system integrations. Offers high ownership over technical direction within a production-critical R&D environment. 🗂️ Requirements: 8+ years in backend or distributed systems engineering, Strong expertise in Java, Proven experience with large-scale distributed architectures, Strong understanding of microservices and API design, Experience with event-driven systems and integrations, Solid data modeling and database design skills, Ability to work in R&D or greenfield environments, Strong communication and mentoring skills 📃 Skills: Java, Microservices, APIs, DistributedSystems, EventDriven, DataModeling, Databases, ERP, MES, IoT, Cloud, DataStreaming 🏢 Description: We are looking for a Staff Java Engineer to join a greenfield initiative building a large-scale distributed backend platform for advanced manufacturing environments. The role focuses on defining system architecture , APIs , and data flows for highly scalable, event-driven systems with complex integrations and strong reliability requirements . ✅ Your responsibilities: Design and evolve distributed backend architecture for a high-scale production platform Define system architecture, APIs, and data models across multiple domains Build microservices and integration layers connecting ERP, vendors, and manufacturing systems Design and implement event-driven data flows and workflows Evaluate and adapt enterprise and open-source solutions to guide architecture decisions Drive engineering standards, reliability, and scalability practices Collaborate with R&D engineers and manufacturing domain experts 🧠 Our requirements: 8+ years in backend / distributed systems engineering Strong expertise in Java and system design Proven experience with large-scale distributed architectures Strong understanding of microservices and API design Experience with event-driven systems and integrations Solid data modeling and database design skills Ability to work in R&D / ambiguous, greenfield environments Strong communication and mentoring skills ⭐ Nice to have: Experience with MES / manufacturing / industrial systems Knowledge of BOM, MRP, shopfloor, traceability Exposure to IoT / hardware integrations Experience with data streaming / cloud-native systems 🌟 What we offer: Private healthcare Multisport Life insurance Opportunity to build a greenfield production-critical platform from scratch High ownership over architecture and technical direction Work at the intersection of software and physical manufacturing systems Strong R&D engineering environment

🏢 Summary: The offer is for a Staff Python Developer to design and build scalable backend services, internal core banking tools, and customer-facing banking systems deployed in the cloud. The role focuses on system design, third-party integrations, and improving engineering standards within a remote team. It combines hands-on development with technical leadership and architectural decision-making. 🗂️ Requirements: Strong experience with Python and backend development, Experience with Django framework, Experience designing scalable backend services and APIs, Hands-on experience with AWS, GCP, or Azure, Strong knowledge of PostgreSQL or MySQL, Experience with NoSQL databases, Knowledge of CI/CD and DevOps practices, Experience with logging, monitoring, and tracing tools, Understanding of security best practices and secure coding, Strong system design and architectural skills, Ability to lead technical initiatives and mentor engineers 📃 Skills: Python, Django, PostgreSQL, MySQL, Redis, MongoDB, DynamoDB, AWS, GCP, Azure, CI/CD, DevOps, Logging, Monitoring, Tracing, APIs, NoSQL, Security 🏢 Description: We are looking for a Staff Python Developer to expand our small remotely working team. Join us to develop internal core banking tools and customer-facing services for banking products. Systems developed by the group are used by customers daily and are critical to the company's success. They are based on Django and PostgreSQL and are deployed to AWS. In addition, you will play a central role in the development of new features and integration with third-party systems to improve the workflows of commercial teams worldwide. Responsibilities: Design and implement software solutions and integrations with third-party systems to support business activities Introduce and advocate for coding best practices, ensure well-tested and maintainable code Collaborate with other engineers, product managers and UX designers throughout the development to involve them in the decision making and set expectations Contribute to the documentation to share knowledge and increase the team's expertise Investigate and apply new technologies to make our systems simpler and more efficient Experience designing and building scalable backend services and APIs Hands-on experience with cloud platforms: AWS, GCP, or Azure Strong database expertise: PostgreSQL/MySQL, NoSQL databases (Redis, MongoDB, DynamoDB, etc.) Strong CI/CD and DevOps practices knowledge Experience with observability tooling:Logging, Monitoring, Tracing Understanding of security best practices and secure coding standards 100% commitment to our team - we maintain a single-employment policy Leadership & Staff-Level Expectation: Strong system design and architectural decision-making skills Ability to mentor senior and mid-level engineers Proven ability to lead technical initiatives across multiple teams Strong system design and architectural decision-making skills Ability to mentor senior and mid-level engineers Experience driving engineering standards and best practices Ability to influence technical direction without direct authority Strong ownership mindset and ability to lead ambiguous projects Ability to balance delivery speed with technical quality and scalability What we offer: Competitive salary tailored to your skills and experience Participation in the company stock option program (equity) 20 paid days off annually, starting after a 3-month trial period No corporate nonsense — just real work, focused engineering, and minimal process overhead Flexible work environment with trust-based collaboration Opportunity to work on meaningful, technically challenging projects Direct communication and fast decision-making processes

🏢 Summary: Senior Python Engineer role focused on building and scaling a cloud-native real-time Data Platform handling massive datasets. The position involves developing high-performance backend services, optimizing distributed systems, and integrating large-scale data storage solutions. Hybrid work model in Warsaw with employment benefits including private medical care and multisport card. 🗂️ Requirements: 8+ years of backend software development experience, Advanced Python expertise, Experience with scalable production-grade systems, Knowledge of concurrency and multiprocessing, Experience with Pandas or NumPy, Experience with Parquet or JSON data formats, Knowledge of relational and NoSQL databases, Experience with performance optimization and low-latency systems, Ability to use AI-assisted development tools responsibly 📃 Skills: Python, Pandas, NumPy, Parquet, JSON, SQL, NoSQL, API, OOP, Concurrency, Multiprocessing, Algorithms, Databases, Cloud 🏢 Description: For our client, a leading, high-growth global fintech company – we are looking for an experienced Senior Python Engineer to join a key engineering team responsible for the company’s core data foundation. The project focuses on building, optimizing, and scaling a cloud-native, high-throughput Data Platform designed to ingest, process, and distribute massive datasets in real-time. This platform serves as the backbone for various downstream analytical systems, requiring extreme reliability, performance, and scalability. This is a fantastic opportunity for a strong Python generalist who enjoys solving complex distributed system problems, optimizing data flows, and working with modern cloud architectures. Responsibilities Backend & Pipeline Development: Design and develop scalable backend services and high-performance data processing pipelines using Python. Performance Tuning: Identify bottlenecks and optimize system performance, focus on concurrency, throughput, and low-latency execution. Data Integration & Storage: Build robust integrations with modern cloud-native storage solutions and databases to manage large-scale datasets efficiently. Collaborative Engineering: Work closely with cross-functional technical teams to understand data requirements and deliver reliable API services and platform features. Engineering Excellence: Maintain top-tier coding standards, emphasizing clean code, robust testing (unit/integration), automation, and security. Requirements 8+ years of professional backend software development experience (with a strong track record in building scalable, production-grade systems). Deep expertise in Python (advanced OOP, concurrency/multiprocessing, memory management, data structures, and algorithms). Solid experience with data-centric libraries such as Pandas, NumPy, or similar data processing frameworks. Experience with large-scale data storage formats (e.g., Parquet, JSON, or column-oriented databases) and relational/NoSQL databases. AI-assisted development mindset: Comfortable utilizing AI tools  to accelerate delivery, while maintaining strong developer judgment regarding validation, testing, security, and refactoring. What our client offers: Hybrid work model in Warsaw (minimum 3 days a week in the office - strictly non-negotiable). Contract of Employment (UoP) with increased tax-deductible costs (KUP). Private medical care (including full dental care). Lunch card to cover your daily meals. Multisport card.

🏢 Summary: Python Software Engineer role focused on building and operating production-grade Python applications, APIs, and data pipelines in a governed data platform environment. The position involves transforming data science prototypes into deployable services, optimizing PySpark workloads, and collaborating with platform teams on Databricks and CI/CD practices. The offer includes flexible remote work, career development programs, certifications, and comprehensive benefits. 🗂️ Requirements: 3+ years of Python engineering experience, Experience with Python packaging, Knowledge of typing and clean architecture, Proficiency in error handling and performance-oriented development, Experience with Git workflows, Experience with automated testing, Experience with CI/CD, Expertise in Pandas, Expertise in NumPy, Experience with Parquet data formats, Experience building APIs or services, Experience with FastAPI, Flask or similar frameworks, Experience working in Databricks or containerized environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, Databricks, Spark, PySpark, Git, CI/CD, APIs, SDLC, scikit-learn 🏢 Description: We are seeking a Python Software Engineer to join our Production Data & Model Services team. In this role, you will build and operate production-grade Python applications, transform data science prototypes into deployable services and collaborate with platform teams to deliver robust data pipelines and APIs. Responsibilities Build and run production-grade Python applications (APIs and batch jobs) with strong SDLC practices including code reviews, testing, CI/CD, observability and documentation Develop robust data pipelines (batch and near-real-time) reading and writing governed storage with Parquet/columnar formats and approved patterns Transform quant and data science prototypes into deployable packages/services (typed, modular, versioned) Expose scoring and analytics via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks/Spark connectivity Optimize PySpark workloads when needed Ensure release discipline through Git workflows, automated tests and code reviews Requirements 3+ years of strong Python engineering experience including packaging (wheels/pyproject), typing and clean architecture Proficiency in error handling and performance-oriented development Proven production SDLC background with Git workflows, automated tests and CI/CD Expertise in Pandas and NumPy in production pipelines Familiarity with data formats like Parquet and governed data access patterns Experience building and operating APIs/services using FastAPI, Flask or similar frameworks Competency working in governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Knowledge of IDE-to-Databricks workflows such as Databricks Connect We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The offer is for a Python Software Engineer to build and operate production-grade applications and data pipelines within a Production Data & Model Services team. You will transform data science prototypes into deployable services, expose analytics via APIs or scheduled jobs and collaborate with platform teams in governed environments. The role emphasizes strong SDLC practices, CI/CD, and scalable data processing with Python and Spark-based technologies. 🗂️ Requirements: 3+ years of Python engineering experience, Experience with Python packaging (wheels, pyproject), typing and clean architecture, Strong production SDLC experience with Git workflows, automated tests and CI/CD, Proficiency in error handling and performance-oriented development, Expertise in Pandas and NumPy in production pipelines, Experience with Parquet and governed data access patterns, Experience building and operating APIs/services with FastAPI, Flask or similar, Experience working in governed platforms such as Databricks or containerized environments 📃 Skills: Python, Pandas, NumPy, Parquet, FastAPI, Flask, PySpark, Databricks, Git, CI/CD, Spark, scikit-learn, GCP, Azure, AWS 🏢 Description: We are seeking a Python Software Engineer to join our Production Data & Model Services team. In this role, you will build and operate production-grade Python applications, transform data science prototypes into deployable services and collaborate with platform teams to deliver robust data pipelines and APIs. Responsibilities Build and run production-grade Python applications (APIs and batch jobs) with strong SDLC practices including code reviews, testing, CI/CD, observability and documentation Develop robust data pipelines (batch and near-real-time) reading and writing governed storage with Parquet/columnar formats and approved patterns Transform quant and data science prototypes into deployable packages/services (typed, modular, versioned) Expose scoring and analytics via APIs or scheduled jobs rather than notebook-only deliverables Collaborate with platform teams on Databricks/Spark connectivity Optimize PySpark workloads when needed Ensure release discipline through Git workflows, automated tests and code reviews Requirements 3+ years of strong Python engineering experience including packaging (wheels/pyproject), typing and clean architecture Proficiency in error handling and performance-oriented development Proven production SDLC background with Git workflows, automated tests and CI/CD Expertise in Pandas and NumPy in production pipelines Familiarity with data formats like Parquet and governed data access patterns Experience building and operating APIs/services using FastAPI, Flask or similar frameworks Competency working in governed platform environments such as Databricks or containerized dev platforms Nice to have Skills in scikit-learn for production feature and scoring pipelines, including reproducible transforms and model packaging/versioning Background in PySpark and distributed processing Knowledge of IDE-to-Databricks workflows such as Databricks Connect We offer We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The offer is for a Senior Python Backend Engineer to design and maintain scalable, cloud-native backend systems on AWS, including REST APIs and AI/LLM integrations. The role focuses on distributed systems, asynchronous processing, observability, and high code quality within a modern CI/CD environment. It involves working with both serverless and containerized deployments in a collaborative, agile team. 🗂️ Requirements: 3–5+ years of professional Python backend development experience, Experience building cloud-native systems on AWS, Strong knowledge of REST API design and OpenAPI, Experience with asynchronous processing and queue-based architectures, Hands-on experience with core AWS services (Lambda, API Gateway, S3, IAM, ECS/EKS, CloudWatch), Knowledge of DynamoDB and NoSQL data modelling, Knowledge of PostgreSQL, SQL, and relational data modelling, Experience with serverless and containerized deployments, Experience integrating external APIs and third-party services, Experience with automated testing using pytest, Familiarity with CI/CD tools, Understanding of distributed systems, scalability, and reliability, Practical understanding of LLM-based or AI-driven applications, Ability to apply SOLID principles and clean code practices, Fluent English (written and spoken) 📃 Skills: Python, AWS, FastAPI, Pydantic, SQLAlchemy, boto3, REST, OpenAPI, Celery, SQS, Lambda, ECS, EKS, S3, CloudFront, IAM, SecretsManager, CloudWatch, DynamoDB, PostgreSQL, SQL, pytest, GitHubActions, Jenkins, NewRelic, Docker, Kubernetes, LLM, Cursor, Claude, Copilot 🏢 Description: We are looking for a Senior Python Backend Engineer with experience in building cloud-native backend systems on AWS. This role is focused on designing, developing, and maintaining scalable Python services, integrating AI/LLM-based capabilities, working with distributed systems, and ensuring high reliability, observability, and code quality. Your responsibilities: Design, build, and maintain backend services using Python in an AWS-based environment. Develop and maintain REST APIs together with clear OpenAPI documentation. Implement asynchronous processing and queue-based communication between services. Design data access patterns for application features using NoSQL and SQL storage. Integrate backend services with internal systems, external APIs, and AI/LLM-based components. Implement reliable communication patterns, including retries, timeouts, and circuit breakers. Build and maintain operational CLI tooling for day-to-day platform tasks (e.g. content ingestion). Contribute to architectural decisions across software and infrastructure as the stack evolves. Create observability for distributed systems, including logging, metrics, tracing, and alerting. Write automated tests and support high code quality across the backend codebase. Contribute to CI/CD processes and deployment automation. Collaborate with product, frontend, QA, DevOps, AI/ML teams, and content creators. Review code, share knowledge, and raise the bar for engineering practice across the team. We are looking for you, if you have: 3–5+ years of professional experience in Python backend development. Solid understanding of REST API design and OpenAPI standards. Experience with asynchronous processing and queue-based architectures, e.g. Celery, SQS. Experience with libraries and frameworks such as FastAPI, Pydantic, SQLAlchemy, boto3. Hands-on experience with core AWS services such as Lambda, API Gateway, S3, CloudFront, Secrets Manager, IAM, ECS/EKS, CloudWatch, etc. Good knowledge of DynamoDB and NoSQL data modelling. Good knowledge of PostgreSQL, SQL, and relational data modelling . Experience with both serverless (Lambda) and containerized (ECS/EKS) deployment models. Experience integrating with external APIs and third-party services. Experience with pytest and automated testing practices. Familiarity with CI/CD tools such as GitHub Actions and/or Jenkins. Experience with observability tools such as New Relic and CloudWatch. Understanding of distributed systems, scalability, reliability, and fault tolerance. Ability to apply SOLID principles, clean code practices, and common design patterns. Practical understanding of LLM-based applications or AI agentic frameworks. Ability to use AI development tools such as Cursor, Claude Code, or GitHub Copilot. Experience working in agile software development teams. Fluent English, both written and spoken. We offer: Participation in interesting and demanding projects. Flexible working hours. A great, non-corporate atmosphere. Possibility to work remote or hybrid (2 days per week from the office). Opportunities for development and promotion. Attractive package of benefits. We reserve the right to contact the selected candidates.

🏢 Summary: Senior Python Engineer role focused on building AI-powered products and internal platforms using Python and modern cloud technologies. The position involves developing secure, production-grade backend systems, contributing to frontend components, and implementing AI-driven solutions such as agentic systems and vector search. Work is delivered in agile teams with strong emphasis on cloud-native architecture and high engineering standards. 🗂️ Requirements: Bachelor’s or Master’s degree in technical field, 7+ years software development experience, Senior-level experience in large tech environment, Strong Python backend experience, Production experience with FastAPI, Hands-on experience with cloud platforms, Experience with Docker or Kubernetes, Experience with SQL and NoSQL databases, Experience with messaging queues, Practical experience with AI systems in production 📃 Skills: Python, FastAPI, Django, Vue, React, Angular, Svelte, AWS, Azure, GCP, Docker, Kubernetes, SQL, NoSQL, Pinecone, CrewAI, MCP, A2A, Microservices 🏢 Description: We’re looking for a Senior Python Engineer to help build AI‑powered products and internal platforms used across the company. You’ll join a fast‑moving engineering team where AI accelerates development, improves productivity, and shapes how new solutions are delivered. Security, compliance, and high engineering standards are essential, especially for production systems handling sensitive data. What you’ll do Build end‑to‑end features using Python (FastAPI, Django) as your primary backend stack. Contribute to frontend development when needed — experience with Vue is a plus, but React, Angular, or Svelte are also welcome. Develop cloud‑native systems on AWS, Azure, or GCP, working with containers, databases, and messaging systems. Contribute to AI initiatives, including agentic systems, vector search, and prompt‑driven workflows. Work in small, agile squads with the flexibility to move between projects as priorities evolve. Required qualifications Bachelor’s or Master’s degree in a technical field. At least 7 years of software development experience, including senior‑level work in a large tech environment. Strong backend experience with Python and FastAPI, with proven production delivery. Frontend experience is a plus (Vue preferred, but any modern JavaScript framework is welcome). Hands‑on experience with cloud platforms, Docker or Kubernetes, SQL and NoSQL databases, and messaging queues. Practical experience working with AI systems or AI‑driven features in production environments. Preferred qualifications Experience with vector databases such as Pinecone or Azure AI Search. Knowledge of prompt engineering, context management, and LLM‑driven workflows. Experience with agentic AI frameworks such as CrewAI, Microsoft Agent Framework, or AWS Agent Core. Familiarity with agentic protocols like A2A or MCP. Background in distributed systems and microservices. Experience working in agile teams. Understanding of agentic AI concepts or hands‑on exposure to agent‑based architectures. Strong grasp of engineering best practices, design patterns, and secure coding. Clear communication skills and the ability to explain technical concepts.