Senior Backend / Platform Engineer

🏢 Summary: Senior Python Developer role focused on building and maintaining high-performance backend services and REST APIs using Python and FastAPI in a fully remote environment. The position involves designing scalable solutions, integrating with internal and third-party systems, and contributing to architectural decisions and CI/CD improvements. You will work on core product services with strong ownership and emphasis on clean, testable code. 🗂️ Requirements: 5+ years commercial experience with Python, Strong production experience with FastAPI, Experience designing and building REST APIs, Knowledge of async programming, Understanding of authentication and data validation, Experience with SQL databases (PostgreSQL or MySQL), Experience with at least one NoSQL database (Redis or MongoDB), Experience with Docker, Experience with Git, Experience with CI/CD pipelines, Experience writing tests with pytest 📃 Skills: Python, FastAPI, REST, SQL, PostgreSQL, MySQL, Redis, MongoDB, Docker, Git, CI/CD, pytest, Async 🏢 Description: About us We are a fast-growing iGaming company building modern, scalable products for international markets. We work in a fully remote, international setup and value clean code, ownership and pragmatic engineering over buzzwords. About the role We are looking for a Senior Python Developer with strong FastAPI experience to join our backend team. You will be designing and developing high-performance services that power our core products, working closely with product, design and other engineers. What you'll do - design, build and maintain backend services and REST APIs using Python and FastAPI - integrate with internal and third-party systems - write clean, testable, well-documented code - participate in code reviews, technical discussions and architectural decisions - contribute to improving our development practices, CI/CD and code quality What we expect - 5+ years of commercial experience with Python - strong, hands-on experience with FastAPI in production - solid background in web development (REST API design, async, auth, data validation) - good command of SQL databases (PostgreSQL/MySQL) and at least one NoSQL store (Redis, MongoDB) - experience with Docker, Git and CI/CD pipelines - comfortable writing tests (pytest) - English at B2+ level Nice to have - experience in iGaming, fintech or other high-load industries - message queues (RabbitMQ, Kafka, Celery) - cloud platforms (AWS/GCP) - Pydantic, SQLAlchemy, Alembic - microservices and event-driven architecture What we offer - B2B contract, fully remote - competitive salary in EUR - international, English-speaking team - modern tech stack and real ownership of what you build - flexible working hours

🏢 Summary: Senior Python Backend Engineer role focused on building and scaling a platform for testing and monitoring AI agents in simulated environments. The position involves designing distributed microservices, developing high-performance REST APIs, and deploying scalable systems to production. The role requires strong architectural decision-making and experience with production-grade backend systems. 🗂️ Requirements: 7+ years of backend development experience with Python, Strong knowledge of Python 3.10+, Experience designing REST APIs, Experience building distributed systems, Experience with NoSQL databases, Experience with message queues or event-driven architectures, Experience building scalable production systems, Ability to make architectural decisions, Experience working in production environments 📃 Skills: Python, REST, Microservices, DistributedSystems, NoSQL, MongoDB, Redis, Kafka, Docker, Kubernetes, CICD, OpenTelemetry 🏢 Description: Poszukujemy Senior Python Backend Engineer do pracy przy rozwoju platformy służącej do testowania i monitorowania agentów AI w środowiskach symulacyjnych. Osoba na tym stanowisku będzie odpowiedzialna za projektowanie i rozwój skalowalnych mikroserwisów, budowę wydajnych API oraz wdrażanie rozwiązań do środowisk produkcyjnych. Rola wymaga bardzo dobrej znajomości Pythona , doświadczenia w budowie systemów rozproszonych i wysokowydajnych backendów , a także umiejętności podejmowania decyzji architektonicznych i pracy w środowisku produkcyjnym. Wymagania 7+ lat doświadczenia w backend development (Python) Bardzo dobra znajomość Python 3.10+ Doświadczenie w projektowaniu REST API i systemów rozproszonych Praca z bazami NoSQL oraz systemami kolejkowymi / event-driven Doświadczenie w budowie skalowalnych systemów produkcyjnych Komunikatywny język angielski Nice to have FastAPI, Pydantic, mypy Kafka lub inne systemy streamingowe Kubernetes, Docker, CI/CD Monitoring / observability (OpenTelemetry, metryki, SLO) Doświadczenie z systemami high-throughput Integracje z LLM / OpenAI Stack: Python, FastAPI, MongoDB, Redis, Kafka, Docker, Kubernetes, CI/CD, OpenTelemetry.

🏢 Summary: Senior Full-Stack Engineer role focused on building and scaling an AI-powered document processing and automation platform in a cloud environment. The position involves developing backend services in Python and front-end applications in TypeScript while delivering scalable APIs, microservices, and data workflows. The role requires hands-on contribution to architecture, cloud deployment, and integration of AI-driven features. 🗂️ Requirements: 6+ years of professional software engineering experience, Strong proficiency in Python, Experience with FastAPI, Flask, or Django, Solid experience with TypeScript, Experience with React or Next.js, Hands-on experience designing and implementing microservices, Experience building and integrating REST APIs, Strong knowledge of relational or NoSQL databases, Experience with AWS or Azure, Familiarity with CI/CD pipelines, Experience with Docker, Proficiency with Git, Understanding of scalability, reliability, performance, and security principles 📃 Skills: Python, FastAPI, Flask, Django, TypeScript, React, Next.js, REST, Microservices, PostgreSQL, MySQL, MongoDB, Firestore, AWS, Azure, Docker, Git, CI/CD 🏢 Description: Client Overview Our client is a global UK-based financial services and investment banking organization developing an AI-powered document processing and automation platform used across multiple business units. The platform focuses on large-scale data processing, workflow automation, integration with internal systems, and delivering modern digital capabilities for the wider banking group. Position Overview We are looking for a Senior Full-Stack Engineer to join a cross-functional engineering team building core components of the AI-driven document processing platform. This position requires strong backend engineering experience with Python as well as solid front-end or full-stack proficiency with TypeScript (preferably React, Next.js, or similar frameworks). You will work on delivering scalable APIs, microservices, data workflows, and UI components that power document automation features, internal tools, and operational dashboards. The role involves close collaboration with product, architecture, GenAI, and platform engineering teams. This role is ideal for someone who is hands-on, highly technical, and comfortable designing, developing, and deploying production-grade systems in cloud environments (preferably Google Cloud). Key Responsibilities Design, develop, and maintain backend services using Python (FastAPI, Flask, Django, or similar frameworks). Build front-end components and UIs using TypeScript (React, Next.js, or similar frameworks). Develop and integrate REST APIs and microservices, ensuring strong performance, reliability, and observability. Collaborate closely with GenAI engineers to integrate AI-driven features and document-processing flows. Implement data processing pipelines for structured and unstructured data. Contribute to the platform’s architecture, design patterns, and technical decision-making. Write automated tests and ensure a high level of code quality, maintainability, and security. Partner with product managers, designers, and QA engineers to deliver high-quality solutions on time. Document code, service interfaces, workflows, and architectural decisions. Requirements 6+ years of professional software engineering experience, with significant work in both backend and full-stack roles. Strong proficiency in Python (FastAPI, Flask, Django, or similar). Solid experience with TypeScript and modern front-end frameworks (React, Next.js, or similar). Hands-on experience designing and implementing microservices, APIs, and backend systems. Strong understanding of databases: relational (PostgreSQL, MySQL) and/or NoSQL (MongoDB, Firestore). Experience with any cloud providers (AWS/Azure). Familiarity with CI/CD pipelines, Docker, Git, and modern DevOps practices. Strong understanding of software engineering principles: scalability, reliability, performance, and security. Experience working in agile, cross-functional teams on complex products. Excellent communication skills and ability to work with both technical and non-technical stakeholders. Nice to Have Experience working with AI/ML or GenAI-driven systems. Experience with Google Cloud Platform Familiarity with Vertex AI, Gemini, or integration with LLM-powered services. Experience with WebSockets, event-driven architectures, or Pub/Sub. Knowledge of authentication/authorization standards (OAuth2, JWT, IAM). Experience with document processing, OCR, or workflow automation.

🏢 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 Backend Engineer role focused on designing and scaling a high-throughput, event-driven platform. The position centers on building and optimizing large-scale event processing services and APIs in distributed systems. It involves solving complex scalability and reliability challenges in a massive-scale environment. 🗂️ Requirements: Senior-level experience in backend development, Strong Python expertise, Experience scaling message queue systems, Experience with distributed systems and microservices architecture, Proven track record building high-throughput backend services, Experience designing scalable and fault-tolerant systems, Ability to implement and optimize APIs 📃 Skills: Python, Azure, ServiceBus, StorageQueues, EventHubs, Microservices, DistributedSystems, APIs, EventDriven, EventSourcing, Streaming, Observability, Monitoring 🏢 Description: Location: Remote Type: Full-time Level: Senior Duration: 4 months Start: ASAP We are looking for an experienced Senior Backend Engineer to join a team responsible for building and scaling a high-throughput, event-driven platform operating at massive scale. Your primary focus will be the event processing backbone — designing, developing, and optimizing services that handle large volumes of messages reliably and efficiently. You will work closely with architects and other senior engineers to implement APIs that expose data and support advanced triage and processing workflows. This role is ideal for someone who enjoys solving hard scalability problems , working with distributed systems, and building resilient backend services that operate under real-world load. Responsibilities Design and build backend services responsible for large-scale event processing Optimize and scale message-based systems to handle high throughput and reliability requirements Implement APIs defined by system architects to expose data and collect processing results Collaborate with cross-functional teams to improve platform performance and resilience Contribute to architectural decisions around scalability, fault tolerance, and observability Core Skills Strong experience with Python as a primary backend language Deep expertise in scaling message queue systems (e.g. Azure Service Bus, Storage Queues, Event Hubs or similar) Solid understanding of microservices architecture and distributed systems Proven experience building high-throughput, resilient backend services Strong problem-solving skills and ability to work with complex systems Highly Desirable Experience with event-driven or event sourcing architectures Background in data processing frameworks or streaming systems Experience building platforms related to observability, monitoring, or large-scale event management Familiarity with designing systems for fault tolerance and graceful degradation What we offer Work on technically challenging systems operating at very large scale High level of autonomy and real influence on system architecture Collaboration with experienced engineers in a mature engineering environment Competitive compensation and flexible working model Project with strong technical ownership

🏢 Summary: Senior Python Backend Engineer role focused on building scalable backend services and APIs to power AI-driven investment research platforms for hedge fund clients. The position involves integrating AI/LLM capabilities, ensuring high reliability, compliance, and secure data delivery in production environments. Fully remote within the EU. 🗂️ Requirements: 6+ years professional Python development in production environments, Strong knowledge of REST API design, Strong understanding of backend architecture patterns, Experience delivering production-ready code, Experience troubleshooting live, customer-facing systems, Fluent English, Legal right to work in Europe 📃 Skills: Python, REST, API, AI, LLM, OpenAI, Anthropic, LangChain, Java, Go, Azure, SEC 🏢 Description: Empower the Future of Investment Research — Lead Innovation with Cutting-Edge AI and Backend Solutions! Remote (EU-based) opportunity with full remote work flexibility As a Senior Python Backend Engineer at our client, you will be working for an industry leader revolutionizing investment research through advanced AI-driven infrastructure. You will contribute to building scalable, reliable platform services that support complex AI workflows, expert network management, and data delivery—serving demanding hedge fund clients with strict compliance needs. This role offers a dynamic environment for growth and impactful technological innovation. Your main responsibilities: Design, develop, and maintain robust backend services and APIs in Python to support AI and data pipelines Collaborate with AI/ML teams to integrate language model capabilities into production systems Write well-structured, maintainable, and tested code with a focus on correctness and reliability Troubleshoot and resolve issues impacting live, customer-facing products Contribute to system architecture decisions and participate in code reviews Ensure compliance with SEC regulations and data security standards You're ideal for this role if you have: At least 6 years of professional experience in Python development in production environments Strong knowledge of REST API design and backend architecture patterns Proven experience delivering high-quality, production-ready code Ability to thrive in fast-paced, high-impact settings with live user products It is a strong plus if you have: (optional) Hands-on experience with AI/LLM integrations (OpenAI, Anthropic, LangChain, or similar) Background in statically typed languages such as Java or Go, enhancing AI prompting and system design skills Familiarity with prompt engineering and handling structured LLM outputs Experience working with cloud infrastructure, preferably Azure Language Required for the role: Fluent English Eligibility for the role: Only candidates with an existing legal right to work in Europe 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 Backend Engineer (Python) responsible for designing, building, and maintaining scalable backend services in production environments. The role covers end-to-end ownership from architecture design to production deployment, with strong focus on asynchronous programming and distributed systems. The position is fully remote under a B2B contract. 🗂️ Requirements: Minimum 7 years of experience with Python, Minimum 3 years of experience with Python 3.10+, Experience with asyncio and asynchronous programming, Experience building backend services in production environments, Experience designing and implementing REST APIs, Experience designing scalable distributed systems, Experience with event-driven architecture or queue-based systems, Experience designing fault-tolerant and resilient systems, Experience maintaining production systems, Production experience with NoSQL databases, Experience with data modeling, schema management, and migrations, Experience optimizing database queries and structures, End-to-end ownership from requirements analysis to production deployment, Ability to make technical decisions and manage risks, Very good English communication skills 📃 Skills: Python, Asyncio, REST, NoSQL, MongoDB, Microservices, DistributedSystems, EventDriven, Queues, Kubernetes, CI/CD, OpenTelemetry, Monitoring, SLO, AI, LLM, APIs 🏢 Description: Dla naszego klienta poszukujemy Senior Backend Engineer'a – Python! ZADANIA Senior Python Backend Engineer będzie współpracować z wewnętrznym zespołem developerskim oraz liderami technicznymi. Rola obejmuje pełną odpowiedzialność za budowanie i rozwój rozwiązań oraz wdrażanie ich do środowisk produkcyjnych. WYMAGANIA Min. 7 lat doświadczenia w pracy z Python - co najmniej 3 lata doświadczenia z wersjami 3.10 i nowszymi Asyncio, współbieżność, programowanie asynchroniczne Doświadczenie w budowie usług backendowych działających w środowisku produkcyjnym Projektowanie i implementacja REST API Projektowanie skalowalnych systemów rozproszonych Doświadczenie z architekturą zdarzeniową lub systemami opartymi o kolejki zadań Projektowanie systemów odpornych na błędy i przeciążenia Doświadczenie w utrzymaniu systemów produkcyjnych Doświadczenie produkcyjne z bazami danych (NoSQL, preferowane MongoDB) Modelowanie danych, zarządzanie schemą, migracje Optymalizacja zapytań i struktury bazy Odpowiedzialność end-to-end za dostarczane rozwiązania, od analizy i weryfikacji dostarczonych wymagań, zaprojektowanie architektury, po wdrożenie produkcyjne Umiejętność podejmowania decyzji technicznych, analizy i adresowania ryzyk Dobra/bardzo dobra komunikacja w języku angielskim MILE WIDZIANE Chmura i konteneryzacja Kubernetes i wdrożenia kontenerowe CI/CD i automatyzacja procesów wdrożeniowych Obserwowalność systemów Systemy śledzenia rozproszonego (np. OpenTelemetry) Monitorowanie oparte na metrykach i SLO Integracje AI / LLM Integracja z API modeli językowych Projektowanie pipeline’ów oceny i scoringu Zarządzanie limitami i kosztami zapytań do modeli CO OFERUJEMY NA TYM PROJEKCIE? Współpracę w oparciu o umowę B2B i stawkę: 145-165 zł/h Pracę 100% zdalną Wsparcie dedykowanego opiekuna. Po dołączeniu do speedapp, otrzymasz kontakt do dedykowanego opiekuna, który zadba, aby współpraca z nami oraz z klientem sprawiała Ci satysfakcję Wydarzenia oraz spotkania integracyjne, a także udział w różnych inicjatywach np. sportowych Dostęp do oferty benefitów (opieka medyczna, ubezpieczenie na życie, karta Multisport). JAK WYGLĄDA REKRUTACJA? Zgłoszenie : Zaaplikuj i prześlij swoje CV. Po weryfikacji aplikacji rekruter skontaktuje się telefonicznie z wybranymi kandydatami. Screening : Porozmawiaj z rekruterem speedapp o Twoim doświadczeniu . Kolejne etapy: Rekruter speedapp przedstawi Ci jak wygląda proces rekrutacji na dane stanowisko. Rekruter speedapp pozostanie z Tobą w kontakcie podczas całego procesu. O SPEEDAPP W speedapp wierzymy, że organizacja jest tak dobra jak tworzący ją ludzie. Jesteśmy zespołem ekspertów IT i innych specjalistów pracujących dla naszych klientów na całym świecie (m.in Izrael, Austria, USA). Wykraczamy daleko poza kategorię HR. Budujemy zespoły IT, a także pomagamy w ich zarządzaniu. 👉 10 lat doświadczenia 👉 +100 klientów na całym świecie +300 zatrudnień rocznie 💎 Jesteśmy laureatem prestiżowej nagrody Diamenty Forbes cztery lata z rzędu (2022, 2023, 2024, 2025), członkiem sieci Fast Growth Icons oraz FinTech Poland. MASZ PYTANIA? Skontaktuj się bezpośrednio z rekruterem odpowiedzialnym za ten proces. Karolina Kizowska Senior IT Delivery Consultant karolina.kizowska@speedapp.pl +48 608 487 448

🏢 Summary: Senior Python Backend Developer role focused on building scalable microservices and AI-driven data integration solutions for Generative AI workflows in a hybrid Kraków-based environment. The position involves developing cloud-based data pipelines, integrating diverse data sources, and supporting secure AI ecosystems within the financial sector. 🗂️ Requirements: 5+ years of Python backend development experience, FastAPI expertise, Microservices architecture experience, Experience with MongoDB, Experience with PostgreSQL, Experience with GCP BigQuery, Knowledge of Vector stores, Knowledge of Hadoop, Knowledge of Starburst, Experience with GCP or Azure, Familiarity with Google ADK, Familiarity with Memory stores, Familiarity with RAGs, Familiarity with Context Engineering, Familiarity with Evaluation systems, Good English communication skills, Legal right to work in the European Union 📃 Skills: Python, FastAPI, MongoDB, PostgreSQL, BigQuery, Hadoop, Starburst, GCP, Azure, ADK, RAG, Microservices 🏢 Description: Unleash innovation at the forefront of AI – Empower data-driven solutions that transform industries! Kraków-based opportunity with a hybrid work model (up to 3 remote days per week). As a Senior Python Backend Developer – Generative AI Data Integration, you will be working on delivering cutting-edge Generative AI experiences. The team focuses on expanding data integration capabilities to unlock new insights, enhance decision-making, and create innovative, efficient solutions that impact global financial operations. Your main responsibilities: - Develop and maintain scalable microservices leveraging Python and FastAPI to support Generative AI data workflows. - Design and implement efficient data transfer pipelines sourcing data from various systems for AI models. - Build agents that interact with diverse data sources, ensuring seamless integration with GenAI solutions. - Collaborate with cross-functional teams to optimize data architecture and pipelines in cloud environments. - Ensure robust data security, governance, and compliance in all integrations. - Contribute to the continuous improvement and innovation of data solutions within the AI ecosystem. - Maintain documentation and support hands-on testing and deployment procedures. You're ideal for this role if you have: - At least 5 years of experience in Python backend development within complex data-driven environments. - Strong expertise with FastAPI framework and microservices architecture. - Hands-on experience with databases such as MongoDB, PostgreSQL, and GCP BigQuery. - Knowledge of Vector stores, Hadoop, and Starburst (Data Virtualization). - Experience working with Google Cloud Platform (GCP) and/or Azure Cloud. - Familiarity with Google ADK, Memory stores, RAGs, Context Engineering, and Evaluation systems. It is a strong plus if you have: - Certifications or experience in AI/ML systems. - Knowledge of data security and compliance standards pertinent to financial services. Language Required for the role: - Good command of English – communicative level required. Eligibility for the role: - Only candidates with an existing legal right to work in the European Union will be considered for this role.

🏢 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 Backend Engineer role focused on building and scaling a cloud-based SaaS platform using modern .NET services and REST APIs. The position involves designing distributed systems, improving reliability and observability, and working with cloud and container environments. You will contribute to technical decisions and engineering best practices within a collaborative team. 🗂️ Requirements: 5+ years backend development experience, Experience with SaaS and web applications, Strong knowledge of C#, Strong knowledge of modern .NET/.NET Core, Solid computer science fundamentals, Experience with distributed systems design, Experience with cloud platforms, Experience with containers and orchestration, Understanding of concurrency and performance, Knowledge of authentication and authorization mechanisms 📃 Skills: C#, .NET, .NETCore, REST, Azure, AWS, GCP, Kubernetes, Kafka, RabbitMQ, SQS, Docker, SQL, HTML, CSS, JavaScript 🏢 Description: We’re hiring a Senior Backend Engineer to help build and scale a cloud-based SaaS platform. You’ll work on modern .NET services and APIs, improve reliability and observability, and contribute to technical decisions as part of a collaborative engineering team. Responsibilities: Build and maintain backend services and REST APIs in C# / .NET (.NET Core). Design scalable solutions for distributed systems (async workflows, messaging, integrations). Work with cloud services (Azure/AWS/GCP) and container environments (e.g. Kubernetes). Strengthen system reliability with logging, metrics, tracing, and monitoring. Support secure access patterns: authentication/authorization, API gateway concepts. Contribute through code reviews, good engineering practices, and automation. Requirements: 5+ years of backend development experience, including SaaS and web applications. Strong knowledge of C# and modern .NET + solid CS fundamentals. Familiarity with containers/orchestration and cloud-native approaches. Experience with some of: Kafka/RabbitMQ/SQS, workflow orchestration, job scheduling, search. Good understanding of concurrency and performance. Strong communication skills; Agile/Scrum is a plus. Bonus: basic front-end knowledge (HTML/CSS/JS).