Senior Java Engineer (with Python) (#4692)

🏢 Summary: Senior Java Engineer role focused on designing, developing, and supporting large-scale backend systems for an XDR cybersecurity platform processing billions of security events daily. The position involves building distributed services and microservices that enable secure communication between endpoints and a cloud-based management console. The engineer will drive architecture, scalability, performance, and observability improvements in a high-scale cloud environment. 🗂️ Requirements: 7+ years of software engineering experience, Experience with large-scale distributed systems, Experience with microservices architecture, Strong focus on performance, scalability, reliability, Proficiency in Java, Proficiency in Golang, Proficiency in Python, Experience with AWS and/or GCP, Experience with Kubernetes, Experience with Kafka or similar messaging systems 📃 Skills: Java, Golang, Python, AWS, GCP, Kubernetes, Kafka, Microservices, DistributedSystems, Linux, Windows, macOS 🏢 Description: We’re looking for a Senior Java Engineer with Python&Golang skills to join our team. About Us: Our client  is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With the Client, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack at every stage of the threat lifecycle. We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and define the pillars of our collaborative and unified global culture. We're looking for people that will drive team success and collaboration across a team. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team! About the team & role: Our team is responsible for the backend part for the main product line - securing tens of millions of devices across the globe of all kinds of OS (Windows, Linux, macOS), and processing billions of security events every day. We are building services (e.g. gateways, caching, threat data ingestion etc) that process traffic & serve for two-way interaction between client's Agents on the protected devices and our cloud-based Management console (a large-scale distributed system, with a client facing, data-heavy & complex web application) We also enable features in this console that allow tens of thousands of users on IT security teams of our clients to manage our security SW deployed on endpoints in client's environments (e.g. investigating threats & notifications from protected devices; creating blocklists, exclusions, policies etc.). You'll be joining a team with a significant impact on how our customers' environments (incl. 4 or Fortune10 companies, hundreds of Global2000 or governments) are protected, how they interact with agents, gain visibility into their security posture, and understand the risks and act upon them. As a core team, we're heavily involved in every end-to-end effort, features development and are key contributors to the design and build of the right architecture of client's cybersecurity solution to match the scale & hyper-growth of our business. What will you do? Design, develop and support backend system serving for endpoint security Help us with initiatives around moving our services to a new deployment model. Tuning and adjusting our services to work with new CPU architectures. Improving the observability for our services. Responsibilities: Cross-Team Collaboration: Work closely with product, validation, and front-end engineering teams to deliver and maintain high-quality features. Code Quality and Maintenance: Write clean, maintainable code. Stay up-to-date with the latest advancements in backend technologies and security best practices. Innovation and Creativity: Bring creativity to the table. Explore new solutions and technologies to improve our product continuously. Requirements: 7+ years of extensive software engineering experience, including proven expertise in developing large-scale distributed systems and microservices architecture, with a focus on performance, scalability and reliability Proficiency in Java, Golang and Python Experience with cloud platforms (AWS and/or GCP) and Kubernetes (must) Experience with Kafka or similar solutions is a plus Excellent problem-solving skills Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments and stakeholders We offer: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: Senior Automation QA Engineer role focused on designing and implementing automated tests for a SaaS cybersecurity platform, particularly its Endpoint Protection components. The position involves building TypeScript-based automation frameworks, ensuring high test coverage across APIs, backend, and infrastructure, and collaborating closely with development teams to maintain product quality. 🗂️ Requirements: 6+ years of automation development experience, Experience testing multi-layered products, Experience testing SaaS cloud-based applications, Experience with microservices architecture, Automation development in TypeScript, Hands-on experience with Playwright, Experience with API and end-to-end testing, Strong debugging and issue investigation skills, Experience with software validation and integration testing, Experience building and maintaining Jenkins jobs 📃 Skills: TypeScript, Playwright, Jenkins, Python, Pytest, SaaS, Microservices, API, E2E, Automation, Debugging, CI, Backend, Infrastructure 🏢 Description: N-iX is looking for an experienced Senior Automation QA Engineer to join our dynamic development team. About Us: The client is defining the future of cybersecurity through our XDR platform that automatically prevents, detects, and responds to threats in real-time. Singularity XDR ingests data and leverages our patented AI models to deliver autonomous protection. With a client, organizations gain full transparency into everything happening across the network at machine speed – to defeat every attack, at every stage of the threat lifecycle. We are a values-driven team where names are known, results are rewarded, and friendships are formed. Trust, accountability, relentlessness, ingenuity, and a customer define the pillars of our collaborative and unified global culture. We're looking for people who will drive team success and collaboration across the project. If you’re enthusiastic about innovative approaches to problem-solving, we would love to speak with you about joining our team! Responsibilities: Design, develop (TypeScript), and implement automation tests in all components of SentinelOne products, with a main focus on our SAAS platform and its Endpoint Protection part (e.g., API testing, E2E testing, backend and infrastructure testing, etc.) Testing the quality of SentinelOne solutions Triage and automate the triaging of test execution results Ensure coverage on critical components and close any test gaps that have been identified Work closely with other automation engineers, developers, and product managers to ensure high-quality products Requirements: 6-7+ Proven experience in automation development, testing multi-layered products Previous experience in testing SAAS products (cloud-based) and microservices architecture Automation experience in TypeScript using the Playwright framework Ability to reproduce issues and work closely with development to resolve Debugging skills and the ability to investigate and triage difficult problems Experience in SW validation methodologies and concepts, testing, and integration Strong self-management capabilities: proactive, initiative, self-learner, team player Experience with building and maintaining Jenkins jobs Nice to have: Basic experience with Python using the Pytest framework We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers

🏢 Summary: Senior Java Engineer role in a product team building a large-scale endpoint protection and detection platform. The position focuses on designing and developing scalable backend services within a distributed, microservices-based architecture deployed in the cloud. The engineer will contribute to a high-impact cybersecurity solution running across multiple operating systems. 🗂️ Requirements: 5+ years of software engineering experience, Proficiency in Java, Experience with large-scale distributed systems, Experience with microservices architecture, Experience with AWS and/or GCP, Experience with Kubernetes, Experience with Kafka or similar messaging systems 📃 Skills: Java, Go, Python, AWS, GCP, Kubernetes, Kafka, Microservices, REST, SQL 🏢 Description: N-iX is looking for a Senior Java Engineer (with Go/Python) to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform. You’ll contribute across the stack, building scalable backend services and intuitive frontend experiences, while actively using AI-powered development tools to improve productivity and code quality. The team follows Agile best practices, values clean architecture, ownership, and continuous improvement. As an engineer, you’ll help to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats — all in real time. Responsibilities: Design, develop, and maintain backend services Collaborate closely with backend, frontend, and QA engineers in an Agile/Scrum environment Write clean, testable, and well-documented code Integrate and work with APIs, data stores, and third-party services Use AI-assisted development tools (e.g., code assistants, testing tools, analysis tools) to improve delivery speed and quality Support production systems and participate in troubleshooting when needed Requirements: 5+ years of extensive software engineering experience Proficiency in Java Proven expertise in developing large-scale distributed systems and microservices architecture, with a focus on performance, scalability, and reliability Experience with cloud platforms (AWS and/or GCP) and Kubernetes (must) Experience with Kafka or similar solutions Experience with Python or Go is nice to have. Excellent problem-solving skills Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders Upper-intermediate level English

🏢 Summary: Senior Backend Engineer role focused on building secure, scalable backend services in Python and Node.js for advanced cybersecurity platforms. The position involves architecting and operating cloud-native solutions on GCP, optimizing databases, and implementing secure authentication flows. You will drive automation, reliability, and best practices in a hybrid Krakow-based environment. 🗂️ Requirements: Minimum 6 years backend development experience, Expertise in Python, Expertise in Django, Expertise in Node.js, Expertise in TypeScript, Experience with NestJS, Hands-on experience with GCP services, Experience with GKE, Experience with Cloud Run, Experience with Pub/Sub, Experience with Terraform, Strong knowledge of security principles, Experience implementing OAuth2, Experience implementing OpenID Connect, Experience with PostgreSQL, Ability to design scalable backend systems, Fluent English, Legal right to work in the EU 📃 Skills: Python, Django, Node.js, TypeScript, NestJS, GCP, GKE, CloudRun, PubSub, PostgreSQL, Terraform, OAuth2, OpenIDConnect, Go, Rust, Filestore 🏢 Description: Unleash innovation in security — shape the future of cyber defense! Krakow-based opportunity with hybrid work model As a Senior Python & Node.js Backend Engineer , you will be working for our client, a leading player in the cybersecurity industry, dedicated to building cutting-edge security platforms that protect organizations worldwide. You will contribute to developing innovative solutions that enhance digital safety, automation, and reliability—driving the next generation of security technology. Your main responsibilities: Hands-on development of high-quality, production-grade backend services in Python (Django) and Node.js (TypeScript/NestJS). Architect scalable, secure solutions on Google Cloud Platform (GKE, Cloud Run, Pub/Sub) and optimize PostgreSQL database performance. Lead the lifecycle management of cloud-native services, ensuring resilience, observability, and cost-efficiency. Design and implement OAuth2/OpenID Connect flows within GCP environments. Translate business opportunities into effective technical solutions. Develop automation to improve deployment, monitoring, and maintenance processes. Mentor team members and promote engineering best practices. Stay updated with the latest industry trends and share knowledge across teams. You're ideal for this role if you have: At least 6 years of experience in backend development or related fields. Deep expertise in Python (Django) and Node.js (TypeScript/NestJS). Hands-on experience with GCP services (Cloud Run, GKE, Filestore) and Infrastructure as Code (Terraform). Strong understanding of security principles, including zero trust models. Ability to build scalable, high-performance backend services, including some experience with Go or similar languages. A full-stack understanding with a focus on backend systems. Proven track record of creating secure, reliable, and efficient backend solutions. Demonstrated mastery in your technical discipline and a passion for engineering excellence. It is a strong plus if you have: Experience with Go, Rust, or other emerging languages. The ability to identify problems or opportunities and engineer effective solutions. Respected for your craftsmanship, not just your ideas. A holistic view to complex problem solving. Language Required for the role: Fluent English (written and spoken) 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: Senior Full Stack Python Engineer role focused on building scalable, secure microservices and REST APIs within the cybersecurity domain for a global financial institution. The position involves developing and deploying containerized solutions, integrating security tools, and contributing to DevSecOps-driven processes in a hybrid work model. You will design resilient software that protects digital banking systems used by millions of customers. 🗂️ Requirements: 6+ years of full-stack Python development experience, Experience with FastAPI, Flask, or Django, Strong knowledge of microservices architecture, Understanding of CQRS, SAGA, event sourcing, Experience with Docker and Kubernetes, Advanced SQL skills, Experience with BigQuery or RedShift, Linux administration skills, Knowledge of TCP/IP, DNS, firewalls, Proficiency with Git and GitFlow, Frontend experience with HTML, CSS, JavaScript, Experience with automated testing frameworks, Understanding of Agile and DevSecOps practices, Fluent English, Legal right to work in the EU 📃 Skills: Python, FastAPI, Flask, Django, REST, Microservices, CQRS, SAGA, Docker, Kubernetes, SQL, BigQuery, RedShift, Linux, TCP/IP, DNS, Git, GitFlow, HTML, CSS, JavaScript, Jira, Confluence 🏢 Description: Unleash cybersecurity innovation — develop resilient solutions at the forefront of digital defense. Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior Full Stack Python Engineer , you will be working for our client, a global leader in financial services, within the cybersecurity domain. You will help design and build scalable, secure software solutions that safeguard the bank’s digital assets, enabling millions of customers worldwide to bank confidently and securely. Join a dynamic team driving technological excellence and continuous innovation in cybersecurity. Your main responsibilities: Develop and deploy REST API services and microservices using Python frameworks such as FastAPI, Flask, or Django. Collaborate with cybersecurity experts to translate security requirements into scalable, automated software solutions. Integrate third-party vulnerability scanning tools and build in-house security testing capabilities. Support the deployment of services in containerized environments using Docker and Kubernetes, ensuring high availability and performance. Write automated test cases for unit, integration, and functional testing to maintain code quality. Conduct peer code reviews, support troubleshooting, and optimize existing services for operability and performance. Contribute to continuous improvement of development processes within an agile/DevSecOps environment. Document solutions and technical procedures in line with governance standards. You're ideal for this role if you have: Over 6 years of experience in full-stack Python development with frameworks like FastAPI, Flask, or Django. Strong understanding of microservice architecture, CQRS, SAGA, and event sourcing. Experience deploying services with Docker and Kubernetes. Advanced SQL skills, with ability to craft complex queries. Knowledge of cloud data warehouse platforms such as BigQuery or RedShift. Linux sysadmin skills and a solid grasp of networks and protocols like TCP/IP, DNS, firewalls. Proficiency with Git and branching strategies like GitFlow. Some frontend development experience using HTML, CSS, JavaScript. A test-driven mindset with experience in automated testing frameworks. Good understanding of agile methodologies and DevSecOps tools like Jira and Confluence. Excellent communication skills in English (fluent level). It is a strong plus if you have: Cybersecurity-related experience such as working with SAST, DAST, penetration testing, or threat detection. Experience in cloud platforms such as AWS, GCP, or Azure, including infrastructure as code with Terraform. Frontend frameworks like React. Database administration skills across relational and non-relational systems like MSSQL, Postgres, or MongoDB. Experience working with message queues like Kafka or RabbitMQ. 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: Senior Python Engineer role focused on building and maintaining scalable backend services and full-stack features for an enterprise-grade endpoint protection and detection platform. The position involves working in an Agile team, integrating APIs and cloud services, and leveraging AI-powered development tools to enhance code quality and productivity. 🗂️ Requirements: 5+ years of software engineering experience, Strong expertise in Python, Experience building full-stack applications end-to-end, Understanding of RESTful APIs, Knowledge of client-server architecture, Experience with AWS or GCP, Experience with Kafka, Experience with Redis, Experience with PostgreSQL, Familiarity with Agile/Scrum methodologies, Experience using AI-assisted development tools 📃 Skills: Python, AWS, GCP, Kafka, Redis, PostgreSQL, REST, Agile, Scrum, AI 🏢 Description: (#4763) N-iX is looking for a Senior Python Engineer (with Golang knowledge) to join a collaborative product team of around 8 engineers working on a complex, high-impact software platform. You’ll contribute across the stack, building scalable backend services and intuitive frontend experiences, while actively using AI-powered development tools to improve productivity and code quality. The team follows Agile best practices, values clean architecture, ownership, and continuous improvement. As an engineer you’ll help to develop the platform that serves as an enterprise next-generation endpoint protection (EPP) + endpoint detection & response (EDR) solution that runs on Windows (as well as macOS, Linux, servers, etc.). It comes as a single, unified agent designed to prevent, detect, respond, and remediate cyber threats, including malware, ransomware, fileless attacks, and advanced persistent threats — all in real time. Responsibilities: Design, develop, and maintain backend services in Python. Collaborate closely with backend, frontend, and QA engineers in an Agile/Scrum environment. Write clean, testable, and well-documented code. Integrate and work with APIs, data stores, and third-party services. Use AI-assisted development tools (e.g., code assistants, testing tools, analysis tools) to improve delivery speed and quality. Support production systems and participate in troubleshooting when needed. Requirements: 5+ years of experience in Software Engineering. Strong expertise with Python. Experience building full-stack applications end-to-end. Good understanding of RESTful APIs and client-server architecture. Familiarity with Agile development methodologies. Experience working in a team environment with shared ownership. Comfortable using AI tools in daily development (e.g., coding assistants, test generation, debugging, documentation support). Experience with AWS/GCP. Experience with Kafka ecosystem & Redis, PostgreSQL. Nice to have: Ready to work with Golang

🏢 Summary: Senior Backend Engineer role focused on building and improving a cloud-based security platform for large-scale forensic investigations and incident response. The position emphasizes backend development and infrastructure enhancements to enable scalable, reliable systems across millions of endpoints. You will collaborate on architecture and deliver backend features and integrations across distributed services. 🗂️ Requirements: 7+ years backend development experience, Proficiency in Python, Go, Java or similar language, Experience with CI/CD systems, Experience with AWS or GCP, Experience with Terraform, Experience with relational databases, Strong understanding of backend architecture, Strong understanding of distributed systems, Upper Intermediate English level 📃 Skills: Python, Go, Java, CI/CD, AWS, GCP, Terraform, SQL, Databases, DistributedSystems, Backend, Cloud 🏢 Description: N-iX is looking for a Senior Backend Engineer to join our team. Together with the client’s team, you’ll be building a next-generation cloud-based security platform as a backend engineer with strong infrastructure expertise. The team is working on products that enable security teams to orchestrate forensic investigations, run custom scripts at scale, and respond rapidly to cyber threats across millions of endpoints. The platform powers automated forensic evidence collection, customizable forensic profiles, and streamlined incident response workflows - all within a unified console alongside EDR data. This role focuses on improving infrastructure and backend systems to help the team ship faster and more reliably. Responsibilities : Drive developer experience initiatives that improve team velocity Implement backend features and integrations across multiple services Collaborate with the team on architectural decisions and code reviews Work independently while aligning with team priorities Requirements : 7+ years of backend development experience Proficiency in Python (preferably) , Go, Java, or any similar language Experience with CI/CD systems, clouds (AWS/GCP) Experience with Terraform Experience with relational databases Strong understanding of backend architecture and distributed systems Strong communication skills and ability to work in hybrid/remote teams Self-directed with the ability to drive initiatives independently At least Upper Intermediate English level Nice to have: Kafka and event-driven architectures E2E and integration testing strategies Kubernetes and container orchestration

🏢 Summary: Senior Software Engineer responsible for defining technical standards and architecture, leading backend and frontend development, and ensuring secure, scalable, and observable solutions. The role drives CI/CD, enterprise integrations, and production support while aligning engineering practices with product and operations goals. 🗂️ Requirements: Proven experience defining technical standards and architecture, Experience with CI/CD orchestration, Experience with observability implementation, Experience implementing on-premises, hybrid, and cloud solutions, Experience leading backend and frontend architectural decisions, Experience maintaining CI/CD pipelines, Experience coordinating enterprise integrations, Knowledge of DDD and clean architecture, Expertise in Java and Spring Boot, Expertise in Python and FastAPI, Expertise in React or Angular, Experience with L2/L3 production support, Experience with Spring Security and OAuth 📃 Skills: Java, SpringBoot, Python, FastAPI, React, Angular, CICD, Observability, ServiceNow, Jira, Boomi, DDD, OAuth, SpringSecurity 🏢 Description: To strengthen the team, we are seeking a person for the role of Senior Software Engineer, responsible for defining technical standards and architecture, guiding the development team, ensuring quality practices, security, and CI/CD, and collaborating with product and operations in delivering scalable, business-aligned solutions. Main Responsibilities Define technical standards, architecture, and development practices, ensuring quality, security, performance, and resilience in production environments. Orchestrate end-to-end delivery with CI/CD and observability while promoting responsible autonomy among teams aligned with product and operational objectives. Implement on-premises, hybrid, and cloud solutions with security best practices, observability, and integration with existing systems. Lead architectural decisions in backend and frontend (Java/Spring Boot, Python/FastAPI, React/Angular), ensuring scalability, consistent testing and code reviews. Implement and maintain end-to-end CI/CD pipelines and observability (logs, metrics, distributed tracing). Coordinate enterprise integrations (ServiceNow, Jira, CRMs) and iPaaS (e.g., Boomi), including mapping, validation, and compliance. Apply practices such as DDD, clean architecture, application security, and secrets/IAM management throughout the development lifecycle. Provide technical guidance to the team, elevate quality standards, and align practices with product and operations. Lead L2/L3 support in production: incident triage and resolution, prevention escalation (on call), SLA management, and conducting post-mortems focused on root causes and corrective actions. Operate and evolve applications in on-premises, hybrid, or cloud environments: VMs, networks, VPNs, certificates, Nginx/reverse proxy, load balancing, and enhancing the security of exposed services. Key Requirements Proven ability to define technical standards, architecture, and development practices. Experience with CI/CD orchestration and observability practices. Knowledge of implementing on-premises, hybrid, and cloud solutions with security best practices. Leadership in architectural decisions for backend and frontend technologies. Experience with maintaining CI/CD pipelines and end-to-end observability. Ability to coordinate enterprise integrations and ensure compliance. Mastery of practices such as DDD and clean architecture. Technical expertise in Java/Spring Boot, Python/FastAPI, React/Angular. Experience in providing L2/L3 technical support and leading incident resolution. Expertise in security practices, including Spring Security and OAuth. Nice to Have Experience with Docker, Kubernetes, and cloud environments (Azure/AWS/GCP). Background in data management with PostgreSQL, MongoDB, and Redis. Familiarity with AI models, particularly RAG. Knowledge in security access management and policies based on the principle of least privilege.

🏢 Summary: Senior Python Engineer role focused on building and deploying enterprise-grade, AI-powered solutions in a cloud-based microservices environment for a large-scale professional services project. The position involves end-to-end development of scalable Python applications, integration of Generative AI and LLM capabilities, and technical leadership within a cross-functional team. Offered as a remote B2B contract with a competitive hourly rate. 🗂️ Requirements: 5+ years of commercial experience in software development, Strong hands-on experience with Python and FastAPI, Practical knowledge of Pydantic for schema modelling and data validation, Experience with asyncio and asynchronous/parallel programming, Experience with Generative AI and Large Language Models in real business use cases, Understanding of RAG pipelines and hybrid search with vector databases, Strong analytical and problem-solving skills, Very good organizational and self-management skills, Strong troubleshooting and communication skills, English level Intermediate+ 📃 Skills: Python, FastAPI, Pydantic, asyncio, LLM, RAG, LangChain, LangGraph, Azure, MongoDB, AzureSQL, Angular, Kendo, GitHub, Copilot, Docker, Kubernetes, .NET, ASP.NET, Microservices 🏢 Description: For our client we are looking for an experienced Senior Python Engineer to join a modern technology initiative delivered for one of the Big Four firms - the world's largest professional services network, headquartered in London and operating across more than 150 countries. The team behind this project is responsible for designing, building, and deploying enterprise-grade tools and AI-powered solutions that support tax service delivery. It is a cross-functional environment bringing together experts in software engineering, tax, project management, and change management. The scope of work includes solution design, implementation, rollout, training support, and broader stakeholder collaboration. Tech stack Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs Responsibilities Analyse business and technical requirements, contribute to system design, and support end-to-end Python and AI solution development Build, enhance, and maintain scalable Python applications using FastAPI and Pydantic Develop asynchronous and parallel processing solutions with asyncio Perform detailed code reviews to ensure consistency with engineering standards and maintain high code quality Integrate and test multi-modal GenAI capabilities, including areas such as text-to-image and text-to-audio Work effectively both independently and as part of a collaborative team Support day-to-day team coordination by giving clear guidance and helping organize ongoing work Stay in regular contact with the client and support smooth communication Provide technical leadership within the team by mentoring others, coaching colleagues, and setting a strong example Requirements 5+ years of commercial experience in software development Strong hands-on experience with Python and FastAPI Good practical knowledge of Pydantic for schema modelling and data validation Experience with asyncio and asynchronous / parallel programming Practical experience with Generative AI and Large Language Models, including building agentic AI solutions for real business use cases Good understanding of RAG pipelines and hybrid search with vector databases Strong analytical thinking and problem-solving skills, with close attention to detail Pragmatic mindset and the ability to balance process, structure, and flexibility in delivery Very good organizational skills, including self-management, prioritization, and effective work under deadlines Strong troubleshooting and communication skills English level: Intermediate+ Nice to have Experience with Azure Cloud services or other major cloud platforms, including SaaS tools such as Service Bus, Data Lake, Blob Storage, Redis, and similar solutions Familiarity with agentic protocols such as MCP and A2A Hands-on experience with the LangGraph ecosystem, especially long-term memory, state management, and human-in-the-loop workflows Familiarity with .NET Experience with Docker and Kubernetes Solid understanding of microservices architecture and scalable distributed systems Offer rate: 140 - 160 pln B2B remote

🏢 Summary: Senior Python Engineer role focused on building scalable, secure backend systems and infrastructure for a machine learning platform in a global fintech environment. The position centers on developing production-grade services, real-time data pipelines, and cloud-native platform capabilities that enable ML model deployment and monitoring. The role supports low-latency, high-availability systems such as fraud detection. 🗂️ Requirements: Strong commercial experience building production-grade backend systems in Python, Experience designing and operating distributed systems, Practical experience with AWS services (EKS, S3, Lambda), Experience with Docker and Kubernetes, Experience with databases, data pipelines, or streaming platforms, Knowledge of testing methodologies and CI/CD practices, Ability to work in high-availability, regulated environments 📃 Skills: Python, FastAPI, Microservices, DistributedSystems, AWS, EKS, S3, Lambda, Docker, Kubernetes, Kafka, Flink, Databases, Streaming, CICD, GitOps, GitHub, ArgoCD, Datadog, Observability 🏢 Description: We are looking for a Senior Python Engineer to join our ML Platform team. You will be responsible for building the backend systems and infrastructure that power machine learning across a global fintech project. This is a platform engineering role focused on building scalable, reliable, and secure systems that enable ML engineers and data scientists to develop, deploy, and operate models in production. Your work will directly support low-latency, real-time environments, such as fraud detection. Please note: Prior Machine Learning experience is NOT required! If you are a strong backend engineer with an interest in data-driven platforms and ML systems, this is the perfect role for you. Responsibilities: Backend Development: Design and build production-grade Python services (FastAPI / microservices) that support the ML lifecycle, including feature computation, model inference, and monitoring. Real-Time Data Pipelines: Develop and operate data pipelines to support low-latency, high-availability use cases (like fraud detection) using event-driven architectures (Kafka, Flink). Platform Engineering: Build capabilities to enable online and offline feature stores, working closely with Data Engineering to ensure reliable data flows. Developer Experience (DevEx): Improve the daily lives of ML engineers and data scientists through better tooling, automation, and self-service APIs. Cloud & DevOps: Build and maintain CI/CD pipelines (GitOps, GitHub Actions, ArgoCD) and ensure the observability (Datadog), resilience, and scalability of platform services. Security & Compliance: Collaborate with Infrastructure and Security teams to ensure all systems meet strict financial and regulatory standards. Min requirements: Python Mastery: Strong commercial experience in building production-grade backend systems and microservices in Python (this is not a scripting role). Distributed Systems: Proven experience designing, building, and operating backend services or distributed systems. Cloud & Containerization: Solid practical experience with AWS (EKS, S3, Lambda) and container orchestration ( Docker, Kubernetes ). Data Systems: Experience working with databases, data pipelines, or streaming platforms. Engineering Best Practices: Solid understanding of testing methodologies, CI/CD, and code quality standards. High-Availability Focus: Ability to work in highly regulated, high-availability environments where system resilience is critical. Would be a plus: Experience with real-time streaming technologies (Kafka, Flink) and low-latency systems. Background in fintech, payments, risk systems, or fraud detection. Experience with ML platforms/tools (e.g., SageMaker, Ray, Tecton) or exposure to feature stores (online/offline architectures). A general understanding of the machine learning lifecycle (training, inference, feature engineering). We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.