Python Tech Lead (IoT & Cloud)

🏢 Summary: Senior Python Engineer role focused on owning backend architecture, leading technical decisions, and delivering scalable high-load systems with AI-powered features such as chatbots and voice-to-text integrations. The position combines hands-on backend development with team leadership, emphasizing architecture, scalability, and production reliability. You will drive backend strategy, mentor engineers, and ensure robust AI/LLM integrations aligned with product goals. 🗂️ Requirements: 5+ years of software development experience, Strong hands-on experience with Python 3 and asynchronous programming, Experience with FastAPI or Django DRF, Experience designing microservices or modular architectures, Strong knowledge of PostgreSQL, Experience with Redis or MongoDB, Experience with vector databases, Experience with pytest and TDD/BDD principles, Experience with Docker and CI/CD pipelines, Experience with Kubernetes, Experience with AWS or GCP or Azure, Knowledge of clean code and SOLID principles, Experience with typing and type checking, Experience with scalability and production monitoring, Experience building GenAI or LLM-powered products 📃 Skills: Python, FastAPI, Django, PostgreSQL, Redis, MongoDB, Qdrant, pytest, Docker, Kubernetes, AWS, GCP, Azure, CI/CD, mypy, Pydantic, LangChain, LlamaIndex, LLaMA, Mistral, Mixtral 🏢 Description: We are looking for Senior Python Engineer to take ownership of backend architecture, technical leadership, code quality, and team development. You will work on complex backend systems, design scalable architectures, and lead a talented engineering team, collaborating closely with business stakeholders to translate requirements into robust technical solutions. You will play a key role in shaping the product roadmap, making strategic architecture decisions, and ensuring that delivery aligns with business goals. A key component of the initiative is the development of internal AI-powered capabilities, including a generic chatbot and voice-to-text features. You will provide technical leadership for AI integrations, ensuring scalable, maintainable, and performant systems. Basic German is a plus, but your expertise in strategy, technical leadership, and hands-on delivery is what matters most. Why Join Us: Lead a high-impact project with real public-sector relevance Take ownership of architecture and system design end-to-end Influence the product roadmap and technical direction Work with a talented, collaborative engineering team Contribute to AI-driven, innovative features with large-scale impact Responsibilities: Own backend architecture and technical decisions for scalable, high-load systems Lead the team in designing, implementing, and maintaining backend services and APIs Guide technical design reviews, code quality, and engineering best practices Balance hands-on development (~40–60%) with leadership and mentoring (~40–60%) Oversee scalability, performance optimization, and reliability of production systems Lead incident response, bug fixing, and production issue resolution Provide technical guidance for AI/LLM-powered features, such as chatbots and voice-to-text integration Collaborate closely with Product, Frontend, and AI/ML teams to translate requirements into technical solutions Drive adoption of observability, monitoring, and testing standards across the team Mentor and support engineers to foster team growth and knowledge sharing Must-Have Skills: 5+ years experience in Software Development Strong product mindset with experience in team organization, task prioritization, and project planning Ability to make and own technical and architectural decisions Strong problem-solving and proactive approach Excellent communication and interpersonal skills for cross-team collaboration Strong analytical and organizational abilities; able to manage dependencies, risks, and cross-team planning Hands-on experience with Python 3, including asynchronous programming Experience with backend frameworks (FastAPI, Django DRF) Experience designing and developing microservices or modular architectures Strong knowledge of relational (PostgreSQL) and NoSQL (Redis, MongoDB) databases Experience with vector storage (e.g., Qdrant) Understanding of testing strategies (pytest, TDD/BDD principles) Familiarity with Docker, CI/CD pipelines, and production deployments Strong experience with Kubernetes and cloud platforms (AWS, GCP, Azure) Knowledge of clean code principles, SOLID, typing (mypy, Pydantic) Experience with scalability, production monitoring, and incident management Experience building GenAI or LLM-powered products Nice-to-Have Skills: Experience with public-sector or government digital transformation projects Familiarity with LangChain, LlamaIndex, or similar tooling Experience with open-source LLMs (LLaMA, Mistral, Mixtral) Experience in high-growth startup environments Knowledge of cost optimization for AI inference and infrastructure Basic German language skills for team onboarding and future customer projects

🏢 Summary: Full Stack Engineer role focused on building end-to-end IoT solutions connecting edge devices, cloud services, and user-facing applications. The position involves backend development with Python, frontend work with React, and integration with AWS IoT services including Greengrass. You will contribute to cloud-based, distributed systems handling device communication and time-series data. 🗂️ Requirements: 3–5 years of professional software development experience, Practical experience with Python in backend or systems development, Experience building APIs with FastAPI or similar frameworks, Hands-on experience developing user interfaces with React, Experience with AWS IoT Core and MQTT messaging, Basic to intermediate experience with AWS IoT Greengrass and edge deployments, Experience with InfluxDB for time-series data, Awareness of UDS and J1939 communication protocols, Understanding of distributed systems and cloud-based architectures 📃 Skills: Python, FastAPI, React, AWS, AWSIoTCore, MQTT, Greengrass, InfluxDB, UDS, J1939, REST, Edge, Cloud 🏢 Description: We are looking for a Full Stack Engineer with a strong interest and hands-on experience in AWS IoT and cloud-based systems . You will contribute to building and maintaining end-to-end solutions that connect devices, cloud services, and user-facing applications. In this role, you’ll work closely with senior engineers, product managers, and other teams to design, implement, and improve IoT-driven features, while continuing to develop your skills in edge computing, backend development, and modern frontend technologies. Responsibilities Contribute to the design and implementation of end-to-end features across backend, frontend, and IoT components Develop backend services using Python and FastAPI Support and extend solutions based on AWS IoT Core and MQTT Work with AWS IoT Greengrass to deploy and manage components on edge devices, with guidance from senior team members Build and maintain frontend applications using React Store, query, and visualize time-series data using InfluxDB Collaborate on CI/CD pipelines and follow deployment and automation best practices Requirements 3–5 years of professional experience in software development Practical experience with Python in backend or systems development Hands-on experience building APIs with FastAPI or similar frameworks Experience developing user interfaces with React Familiarity with AWS IoT Core and MQTT-based messaging Basic to intermediate experience with AWS IoT Greengrass , including understanding edge deployment concepts Experience working with or learning InfluxDB for time-series data Awareness of device or vehicle communication protocols such as UDS and J1939 (hands-on experience is a plus) Understanding of distributed systems and cloud-based architectures Ability to work collaboratively in a team and take ownership of assigned tasks Good problem-solving skills and willingness to learn complex systems Nice to Have Familiarity with CI/CD pipelines and infrastructure-as-code concepts Basic knowledge of observability and system monitoring We Offer Opportunity to grow into AWS IoT and edge computing expertise Hands-on experience with real-world connected device systems Mentorship and collaboration with experienced engineers A modern tech stack covering cloud, edge, backend, and frontend Supportive environment focused on learning, quality, and continuous improvement

🏢 Summary: The offer is for an AI Cloud Developer responsible for building and deploying scalable, cloud-native backend applications with integrated AI components. The role focuses on Python and Django development, workflow orchestration, containerization, and cloud infrastructure. It involves developing REST APIs, automating workflows, and maintaining secure, high-performance cloud environments. 🗂️ Requirements: Strong Python programming, Hands-on Django experience, Experience with Django Rest Framework, Practical experience with Apache Airflow, Hands-on Docker experience, Experience with Kubernetes, Proficiency with Git, Solid Linux knowledge, Experience with cloud platforms (AWS, Azure, GCP, or private cloud) 📃 Skills: Python, Django, DRF, Airflow, Docker, Kubernetes, Git, Linux, AWS, Azure, GCP, REST 🏢 Description: Position Overview We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django , hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems. This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure. Roles and Responsibilities Design, develop, and maintain backend applications using Python and Django . Build and optimize RESTful APIs using Django Rest Framework (DRF) . Integrate AI/ML components and services into cloud-based applications. Develop and manage workflow automation solutions using Apache Airflow . Deploy and maintain containerized applications using Docker and Kubernetes . Support cloud-native application architecture and scalability. Improve CI/CD and deployment processes. Monitor, troubleshoot, and optimize application performance in cloud environments. Collaborate with DevOps, infrastructure, and data teams. Create and maintain technical documentation. Required Skills and Experience Strong programming skills in Python . Hands-on experience with Django . Experience with Django Rest Framework (DRF) . Practical experience with Apache Airflow . Hands-on experience with Docker . Experience working with Kubernetes . Proficiency with Git version control. Solid understanding of Linux systems . Knowledge of cloud environments (AWS, Azure, GCP, or private cloud). Strong analytical and problem-solving skills. Ability to work independently and in a technical team. Nice to Have Experience with AI/ML integration in production systems . Familiarity with MLOps practices . Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Knowledge of CI/CD pipelines. Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK). Understanding of scalable cloud-native architecture patterns.

🏢 Summary: The offer is for a Senior Python Developer to design and build a scalable, high-performance backend platform supporting real-time communication and coordination of thousands of autonomous units. The role focuses on mission-critical systems, real-time telemetry processing, and high-availability architecture in a fully remote, international environment. The position involves strong influence on system architecture and technical decisions. 🗂️ Requirements: Minimum 5+ years of experience as a Python Developer, Strong knowledge of Python and backend service development, Hands-on experience with Flask or FastAPI or aiohttp, Practical experience with real-time data processing systems, Experience with message queues such as RabbitMQ or ZeroMQ, Experience with PostgreSQL or MySQL or MariaDB, Ability to design high-load, high-availability systems, Very good command of English (C1) 📃 Skills: Python, Flask, FastAPI, aiohttp, RabbitMQ, ZeroMQ, PostgreSQL, MySQL, MariaDB, APIs, Telemetry, Jira 🏢 Description: Our Client is a fast-growing technology company building advanced solutions in the field of autonomy and distributed systems, operating in a fully international environment. The project focuses on developing a scalable backend platform that supports thousands of autonomous units operating and communicating in real time. We are looking for an experienced Python Developers who want to have a real impact on the architecture of mission-critical systems and work on products where performance, reliability, and fast engineering decisions truly matter. WORK MODE: 100% remote - occasional visits to Warsaw (mokotów) WHAT WILL YOU BE WORKING ON? Designing, implementing, and developing scalable backend services in Python , handling real-time telemetry data processing (thousands of events per second) Co-designing the architecture of high-availability, high-performance systems responsible for coordination, analysis, and real-time data distribution Building and maintaining data pipelines (telemetry, sensor data, mission-critical events) using message queues and asynchronous mechanisms Designing and implementing APIs consumed by frontend applications, internal tools, and other platform components Working closely with backend, frontend, and autonomy/algorithm teams to ensure seamless system integration Participating in architectural design, code reviews, ensuring code quality, monitoring, and maintaining clear technical documentation WHAT DO WE EXPECT FROM YOU? Must-have: Minimum 5+ years of experience as a Python Developer Strong knowledge of Python and backend service development Hands-on experience with web frameworks such as Flask , FastAPI or aiohttp Practical experience with real-time data processing systems (must have) and message queues (e.g. RabbitMQ , ZeroMQ , or similar) Experience working with databases such as PostgreSQL , MySQL , or MariaDB Ability to design systems handling a high volume of requests and events per second Very good command of English (C1) Nice-to-have: Experience with Go Knowledge of distributed systems, data streaming, or event-driven architecture Background in building mission-critical systems (high availability, real-time processing) WHY IS IT WORTH IT? Permanent employment with end client with competitive compensation aligned with your experience Real influence on system architecture and product direction in a high-responsibility, large-scale project Work in an international team focused on outcomes rather than unnecessary processes 100% remote work and a flexible approach to work organization Paid time off and stable cooperation conditions 2-week sprints, Jira , clear goals, and fast feedback loops A work culture built on quality, ownership, and true partnership Thank you for all applications! We will contact selected candidates. TQLO Sp. z o.o. – Agencja Zatrudnienia (KRAZ nr 33580)

🏢 Summary: Remote Senior Python Developer role focused on building and scaling a high-performance backend platform for real-time coordination of thousands of autonomous units. The position involves designing scalable services, processing high-volume telemetry data, and co-creating high-availability system architecture. The role emphasizes performance, reliability, and real impact on mission-critical distributed systems. 🗂️ Requirements: 5+ years of experience as a Python Developer, Strong knowledge of Python and backend service development, Experience with Flask or FastAPI or aiohttp, Hands-on experience with real-time data processing systems, Experience with message queues (e.g. RabbitMQ or ZeroMQ), Experience with PostgreSQL or MySQL or MariaDB, Ability to design high-availability systems handling high volumes of requests and events, Very good command of English (C1) 📃 Skills: Python, Flask, FastAPI, aiohttp, RabbitMQ, ZeroMQ, PostgreSQL, MySQL, MariaDB, APIs, Telemetry, Asyncio 🏢 Description: Our Client is a fast-growing technology company building advanced solutions in the field of autonomy and distributed systems, operating in a fully international environment. The project focuses on developing a scalable backend platform that supports thousands of autonomous units operating and communicating in real time. We are looking for an experienced Python Developers who want to have a real impact on the architecture of mission-critical systems and work on products where performance, reliability, and fast engineering decisions truly matter. WORK MODE: 100% remote - occasional visits to Warsaw (mokotów) WHAT WILL YOU BE WORKING ON? Designing, implementing, and developing scalable backend services in Python , handling real-time telemetry data processing (thousands of events per second) Co-designing the architecture of high-availability, high-performance systems responsible for coordination, analysis, and real-time data distribution Building and maintaining data pipelines (telemetry, sensor data, mission-critical events) using message queues and asynchronous mechanisms Designing and implementing APIs consumed by frontend applications, internal tools, and other platform components Working closely with backend, frontend, and autonomy/algorithm teams to ensure seamless system integration Participating in architectural design, code reviews, ensuring code quality, monitoring, and maintaining clear technical documentation WHAT DO WE EXPECT FROM YOU? Must-have: Minimum 5+ years of experience as a Python Developer Strong knowledge of Python and backend service development Hands-on experience with web frameworks such as Flask , FastAPI or aiohttp Practical experience with real-time data processing systems (must have) and message queues (e.g. RabbitMQ , ZeroMQ , or similar) Experience working with databases such as PostgreSQL , MySQL , or MariaDB Ability to design systems handling a high volume of requests and events per second Very good command of English (C1) Nice-to-have: Experience with Go Knowledge of distributed systems, data streaming, or event-driven architecture Background in building mission-critical systems (high availability, real-time processing) WHY IS IT WORTH IT? Permanent employment with end client with competitive compensation aligned with your experience Real influence on system architecture and product direction in a high-responsibility, large-scale project Work in an international team focused on outcomes rather than unnecessary processes 100% remote work and a flexible approach to work organization Paid time off and stable cooperation conditions 2-week sprints, Jira , clear goals, and fast feedback loops A work culture built on quality, ownership, and true partnership Thank you for all applications! We will contact selected candidates. TQLO Sp. z o.o. – Agencja Zatrudnienia (KRAZ nr 33580)

🏢 Summary: Backend Engineer role focused on building production systems for AI agents, including backend services, APIs, and data pipelines for enterprise customers. The position involves designing reliable distributed systems, maintaining production services, and collaborating closely with cross-functional teams in a fully on-site Warsaw office environment. The company offers a modern AI-focused tech stack, B2B contract, stock options, and opportunities to contribute to open-source projects. 🗂️ Requirements: 3–5 years of experience building backend production systems, Strong Python skills, Understanding of distributed systems, Experience with AWS, GCP, or Azure, Knowledge of SQL and NoSQL databases, Database design experience, Security-focused approach to system design, Ability to manage projects from idea to production, Strong written and spoken communication skills, Experience using AI tools in software development, Ability to work fully on-site in Warsaw 📃 Skills: Python, AWS, GCP, Azure, SQL, NoSQL, AI, TypeScript, APIs, GitHub, Copilot, Codex, Claude 🏢 Description: Please note: This role requires working from our office in Warsaw city centre 5 days a week . This is a fully on-site position , and remote or hybrid work is not available . About us We believe that businesses are moving toward AI-powered work, and we are building a platform for this future. Many AI agents cannot handle complex business tasks. We created a platform that organizes company policies, workflows, and business knowledge into one AI data model. This helps AI agents make accurate decisions and deliver reliable results at scale. We already work with well-known enterprise customers such as Glovo, Nespresso, and HelloFresh. Our platform supports thousands of users and handles real production data. Customers trust us with important business knowledge because we provide a secure and reliable solution with SOC2, HIPAA-ready security practices, and strong integrations. Job description We are looking for a backend engineer with several years of experience who wants to take responsibility for real systems, not only complete assigned tasks. You will solve backend challenges, choose the best technical solutions, deliver new features, and support them in production. We are looking for someone with good technical skills, clear communication, and a desire to build systems that are simple, reliable, and easy to improve. You will help build production systems for AI agents, working on real problems for customers who already use our platform. The position is based in Warsaw and requires working from the office. Responsibilities Build backend services, APIs, data pipelines, and background processes for production systems. Turn business requirements into technical solutions and implementation plans. Monitor and maintain services after release, improving reliability, performance, and system monitoring. Design service interfaces and data models that fit well into the overall system. Create technical documentation and diagrams when they help the team. Work closely with product managers, frontend engineers, and platform engineers. Improve engineering processes using AI tools, automation, and better workflows. Help maintain high code quality through code reviews and design reviews. Requirements Around 3–5 years of experience building backend production systems. Strong Python skills and the ability to write clean and maintainable code. Good understanding of distributed systems, including concurrency, failures, data consistency, asynchronous processing, and service communication. Experience with cloud platforms such as AWS, GCP, or Azure, and knowledge of SQL, NoSQL, and database design. A security-focused approach when working with sensitive data and system design. Ability to manage projects from idea to production with increasing responsibility. Good written and spoken communication skills, with the ability to explain technical decisions clearly. Experience using AI tools as part of your daily software development work. Nice to have Experience with AI agents, orchestration, retrieval systems, tool calling, or LLM-based infrastructure. Knowledge of TypeScript or willingness to work across the full technology stack. Experience taking on more responsibility and learning quickly. What we offer B2B contract and company stock options. MacBook Pro. Modern technology stack and the opportunity to contribute to open-source projects. An AI-focused development environment with tools such as Claude Code, OpenAI Codex, and GitHub Copilot. Our values Our leadership team combines strong experience in AI, knowledge management, and enterprise SaaS. We have received more than $60 million in funding and have been recognized by Gartner as a Cool Vendor. Our work is guided by these values: Quality – We care about excellent work and high standards in everything we build. Momentum – We take initiative, share ideas, and keep moving forward. Accountability – We take responsibility for our work and give honest, respectful feedback. Hard work – We believe success comes from teamwork, dedication, and consistent effort. Learning agility – We stay curious, learn from mistakes, and continue improving. Adapt and thrive – We welcome change and see challenges as opportunities to grow. Win together – We work as one team, communicate openly, and support our shared goals.

🏢 Summary: Staff Python Engineer role focused on building a greenfield large-scale distributed backend platform for advanced manufacturing environments. The position involves leading architecture, API design, integrations, and event-driven systems with strong scalability and reliability requirements. Candidates will drive technical decisions, optimize system performance, and contribute to production-critical platform development. 🗂️ Requirements: 8+ years of software engineering experience, Extensive Python development experience, Experience designing large-scale distributed systems, Strong software architecture and system design expertise, Deep understanding of microservices, Experience with distributed system patterns, Experience designing scalable APIs, Experience with enterprise integrations, Strong database design skills, Strong data modeling skills, Experience with concurrency, Experience with performance optimization, Experience with high-availability systems, Ability to make architectural decisions, Experience mentoring engineers, Fluent English 📃 Skills: Python, Microservices, APIs, Databases, Concurrency, Scalability, Architecture, Integrations, DataModeling, Performance, DistributedSystems, EventDriven, HighAvailability 🏢 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. Quick Facts - 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 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 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.

🏢 Summary: Backend Engineer role focused on building secure, high-performance microservices and scalable data pipelines in AWS environments. The position involves designing Python-based REST APIs, implementing enterprise-grade security standards, and orchestrating containerized and serverless infrastructure. The engineer will work on real-time security analytics integrations, encrypted communication channels, and identity management systems. 🗂️ Requirements: Bachelor's degree in Computer Science, Engineering or related field, 3+ years of backend engineering experience, Experience with distributed systems, Strong knowledge of network security principles, Knowledge of encryption standards, Understanding of enterprise data privacy, Experience designing RESTful APIs, Experience with microservices architecture, Experience with AWS cloud services, Experience with containerization and orchestration 📃 Skills: Python, REST, Microservices, AWS, DynamoDB, IAM, Lambda, APIGateway, Redis, Docker, Kubernetes, Helm, SAML, MFA, RBAC, Splunk, Spacebridge, Protobuf, WebSockets 🏢 Description: Location: Warsaw, Poland (Hybrid preferred, open to remote within Poland) Experience: 3+ years Job Description: Backend Engineer – Security & Mobile Connectivity Team Description The team manages the Splunk Connected Experiences ecosystem, bridging the gap between core data and mobile accessibility. We specialize in the administration of Splunk Secure Gateway , leveraging Spacebridge technology to provide end-to-end encrypted, VPN-less access to operational intelligence. We are dedicated to maintaining a secure, high-performance infrastructure that allows stakeholders to monitor system health and respond to critical incidents via Splunk Mobile , ensuring data integrity through advanced MDM integrations, security ecosystems, and SAML authentication. Role Overview We are seeking a highly skilled Backend Engineer to contribute to our engineering initiatives, with a focus on building secure, scalable, and high-performance backend systems. This role demands a robust understanding of backend architecture, security integrations, and practical experience with a suite of contemporary technologies including Splunk Secure Gateway , Splunk Mobile . 🛠️ Core Technical Requirements Languages & Frameworks • Proficiency in Python 3 for backend service development. • Experience building RESTful APIs and microservices architectures. • Familiarity with React for collaborating on frontend interactions. Cloud Infrastructure (AWS) • AWS DynamoDB : NoSQL data modeling and management. • AWS IAM : Role-based access control and security policy enforcement. • AWS Lambda & API Gateway : Serverless architecture patterns. Data Management & Caching • Proficiency with Redis for in-memory caching, session management, and high-availability cluster configurations. Containerization & Orchestration • Docker & Docker Compose : Containerized development and multi-service environments. • Kubernetes : Orchestration, scaling, and operations of containerized applications. • Helm : Chart management and cluster administration. 🔐 Security & Integration Requirements Splunk & Mobile Connectivity • Splunk Secure Gateway: Administer and configure the Gateway to facilitate encrypted, VPN-less communication between Splunk instances and mobile devices via Spacebridge . • Splunk Mobile Deployment: Manage the rollout of Splunk Mobile to provide stakeholders with real-time alerts and mobile-optimized dashboards (Dashboard Studio/Classic). • Secure Firewall App for Splunk: Integration with Firewall Management Center (FMC) and configuration of eStreamer Client Add-On for data ingestion. • Secure Network Analytics (SNA): SSL certificate management and Webhook setup for forwarding alerts to Splunk HTTP Event Collector (HEC). Authentication & Access Control • SAML 2.0 & SSO: Hands-on experience with Identity Providers (IdP), Active Directory (AD) attribute mapping, and SAML group/role configuration. • Identity Security: Experience with Duo Single Sign-On and Two-Factor Authentication (2FA) policy enforcement. Endpoint Security Analytics 📊 Responsibilities • Design & Develop: Build and maintain scalable backend services and APIs that power our secure data pipelines. • Secure Connectivity: Implement and manage secure communication flows via Splunk Secure Gateway and Spacebridge. • Security Integration: Collaborate with security teams on Secure Firewall and SNA integrations to build real-time threat discovery dashboards. • Infrastructure Management: Manage containerized deployments using Docker and Kubernetes while optimizing AWS and Redis performance. • Mobile Optimization: Ensure critical business metrics and alerts are securely accessible via Splunk Mobile. ⭐ Desirable Experience • Protobuf for efficient data serialization. • WebSockets for real-time bidirectional communication. • Duo Network Gateway (DNG) for secure access to on-premises web applications and SSH/RDP hosts. • Knowledge of DMZ architecture and secure network design principles. 🎓 Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field. • 3+ years of backend engineering experience. • Strong understanding of network security principles and enterprise data privacy.