(Senior) Software Engineer (f/m/d/x) AI-Enabled Insurance Platform

🏢 Summary: Senior .NET Engineer role focused on modernizing and enhancing an insurance platform using Azure and microservices architecture. The position involves full-stack development, backend services in .NET Core, cloud deployment, and DevOps automation. The engineer will contribute to scalable, secure solutions and AI-driven initiatives within a cloud-native environment. 🗂️ Requirements: 5+ years of full-stack web application development, Proficiency in .NET Core (8–10), Experience with Entity Framework and Dapper, Experience building REST and XML APIs, Advanced MS SQL including query optimization and stored procedures, Experience with Azure App Service and Azure Container Apps, Hands-on experience with microservices architecture, Experience with Docker and containerization, Experience implementing CI/CD using Azure DevOps or similar tools, Familiarity with ReactJS, Vue.js or Angular, Knowledge of SignalR and WebSockets, Experience with GitHub Copilot, Understanding of secure coding practices 📃 Skills: .NET, C#, Azure, MS, SQL, Entity, Framework, Dapper, REST, XML, ReactJS, Vue.js, Angular, Docker, Microservices, CI/CD, Azure, DevOps, GitHub, Terraform, ARM, SignalR, WebSockets, Copilot 🏢 Description: We are seeking a skilled Senior .NET Engineer with expertise in Azure and full-stack development to join an exciting project for our client, a US-based insurance provider. This role focuses on enhancing the client's insurance platform through modernization and leveraging cutting-edge technologies. Responsibilities Work on the development and modernization of an insurance platform towards a modular and microservices architecture under Azure Implement backend services using .NET Core (8–10), Entity Framework and Dapper to ensure performance and scalability Build and integrate RESTful and XML-based APIs for application functionality and interoperability Develop advanced database solutions using MS SQL including query optimization and stored procedures Create dynamic responsive user interfaces using ReactJS or Vue.js Architect microservices and leverage Docker for efficient deployment and scalability Manage application deployment on Azure cloud platforms such as Azure App Service and Azure Container Apps Apply DevOps best practices for CI/CD, release management and automation with tools like Azure DevOps, Azure Repos, GitHub, Azure ARM or Terraform Contribute to AI-driven initiatives through the adoption of AI tools like GitHub Copilot Ensure adherence to secure coding standards throughout development processes Incorporate technologies for real-time communication including SignalR and WebSockets Work autonomously, manage time effectively and consistently meet project deadlines Collaborate with cross-functional teams to document technical solutions and specifications Requirements 5+ years of experience building full-stack web applications and delivering end-to-end solutions Proficiency in .NET Core (8–10), Entity Framework, Dapper, REST and XML-based APIs Advanced MS SQL skills including query optimization and stored procedure development GitHub Copilot experience and willingness to contribute to AI adoption within the team Expertise in Azure cloud platforms including Azure App Service and Azure Container Apps Familiarity with modern web frameworks such as ReactJS, Vue.js or Angular Hands-on experience with microservices architecture, Docker and containerization Skills in implementing DevOps practices for CI/CD and automation using Azure DevOps, Azure Repos, GitHub, Azure ARM or Terraform Awareness of SignalR and WebSockets for real-time communication Strong focus on secure coding practices and project deadline management Adaptability to work independently while effectively collaborating in a team environment and clearly documenting solutions We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: The role focuses on engineering production-grade AI features such as semantic search, intelligent assistants, and automated risk scoring by integrating external AI providers into a cybersecurity platform. You will own the full lifecycle from prototype to reliable, monitored production services, primarily using Python on Azure. This position emphasizes robust software engineering practices over model research or training. 🗂️ Requirements: 5+ years of professional experience building production systems in Python, Expert-level Python programming skills, Experience with ML frameworks and libraries, Proven experience shipping and operating production software, Experience integrating external APIs in production environments, Strong understanding of software architecture and design patterns, Practical experience with CI/CD pipelines, Experience with containerization using Docker, Understanding of AI/ML concepts including LLMs, embeddings, prompt engineering, RAG, Experience with unit and integration testing and mocking external services, Polish work permit, Professional proficiency in English 📃 Skills: Python, Azure, OpenAI, Anthropic, Docker, CI/CD, FastAPI, Flask, Pinecone, Weaviate, Chroma, .NET, REST, LLMs, RAG, Embeddings, Git 🏢 Description: About the Role As a Senior AI/ML Engineer you will be building AI-powered features at the core of our platform - semantic search, an intelligent assistant, automated risk scoring, and much more. We mainly integrate with external AI model providers (OpenAI, Anthropic, and others) to deliver these capabilities to our clients and internal users. This is a software engineering role, not a data science or ML research position. You won't train models from scratch or publish papers. You'll engineer production-grade systems that leverage AI to solve real cybersecurity problems. If you're a strong Python engineer excited about making AI reliable, maintainable, and impactful — we want to talk to you. We're looking for a versatile software engineer to own the journey from AI prototype to reliable production system: building robust integrations with external AI providers or fine-tuned models, standardizing our Python codebase and release pipelines, and ensuring our AI features meet the same quality bar as any other production service. What You'll Do Ship AI features end to end - from integration design through deployment to monitoring in production. You'll build and maintain Python services that power our AI-driven capabilities on Azure. Build production-ready AI / ML integrations - including retry logic, rate limiting, cost monitoring, fallback strategies, and abstraction layers that allow us to swap between model providers. Turn proofs of concept into reliable software - collaborate with our AI experts (who bring deep ML/data science expertise) to take working prototypes and engineer them into tested, documented, production-grade services. Standardize Python engineering practices - establish and evolve our code organization, testing strategies, CI/CD pipelines, and release processes for AI/ML features. Design clean service boundaries - our platform's core runs on .NET. You'll design and maintain well-defined APIs between the Python/AI layer and the rest of the system. Mentor and share knowledge - help other engineers grow their Python and AI engineering skills, and bring engineering rigor to the broader team's practices. Contribute to architecture decisions - work closely with other teams to shape how AI capabilities evolve within the platform. Who You Are Must-Haves 🔹 5+ years of professional experience building and maintaining production systems in Python. 🔹 Expert-level programming skills and proficiency with common ML frameworks and libraries. 🔹 A track record of shipping and operating software - not just building prototypes. You care about testing, monitoring, logging, and what happens after deployment. 🔹 Experience integrating external APIs in production systems - ideally AI/LLM provider APIs (OpenAI, Anthropic, Azure AI, or similar), but strong API integration experience in any domain counts. 🔹 Solid understanding of software architecture and design patterns - you have opinions about how to structure a Python project and can articulate trade-offs. 🔹 Practical knowledge of CI/CD pipelines, containerization (Docker), and modern development workflows. 🔹 A working understanding of AI/ML concepts - you know what embeddings, LLMs, prompt engineering, and RAG are. You can have a productive technical conversation with an ML specialist without needing every concept explained from scratch. 🔹 Experience with testing strategies - unit tests, integration tests, mocking external services. You instinctively write tests, not as an afterthought. 🔹 A highly adaptable, problem-solving and result-oriented mindset with the ability to work independently and take ownership in a fast-paced and dynamic environment. 🔹 Strong communication skills in English (our working language). 🔹 Willingness to learn continuously and share what you learn with the team. Nice-to-Haves 🔸 Experience with Azure cloud services. 🔸 Familiarity with FastAPI, Flask, or similar Python web frameworks. 🔸 Exposure to MLOps tooling or practices (model versioning, experiment tracking, feature stores). 🔸 Hands-on experience in Document AI / Intelligent Document Processing using traditional models and Generative AI. 🔸 Experience with vector databases (Pinecone, Weaviate, Chroma, or similar). 🔸 Any experience with .NET - helpful for cross-team collaboration, but not expected. 🔸 Background in or interest in cybersecurity as a domain. Your Team You'll join our Synapse team - a small, focused group responsible for all AI/ML capabilities within our platform. The team consists of: -> Team Leader / Architect - provides high-level architectural guidance, planning, and cross-stack delivery. -> AI / ML Engineer - deep expertise in AI/ML and data science. Your counterbalance: they bring the ML knowledge, you bring the production engineering discipline. -> AI / Backend Engineer - transitioning from .NET into AI engineering. A teammate you'll mentor and grow alongside. -> You - the person who bridges the gap between AI prototypes and reliable production systems. Why Join Us? / What We Offer: Competitive salary and benefits package. Remote work options and flexible working hours. Actual impact on the choice and shape of solutions developed. Opportunities for professional growth and development. Training and conference budget. A collaborative, innovative work environment with an iterative agile approach. The role is for six months with the possibility of extension. Both full-time and part-time cooperation are possible.

🏢 Summary: Senior Software Engineer role focused on designing and building AI-powered backend systems that automate healthcare operations while supporting human workflows. The position involves hands-on system architecture, workflow orchestration, distributed systems, and AI process automation in a regulated environment. Remote-first work with required overlap with US Central Time. 🗂️ Requirements: 6+ years of experience building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering skills, Experience with asynchronous, event-driven, or workflow-based distributed systems, Ability to work with 4–5 hour daily overlap with US team, Experience with AI or LLM-based systems and process automation, Strong spoken and written English communication skills, Ability to solve unclear problems with incomplete information, Self-motivated with strong ownership and responsibility 📃 Skills: TypeScript, Node.js, AI, LLM, Claude, Backend, APIs, HIPAA 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: Senior Software Engineer role focused on designing and building scalable backend systems that combine AI automation with human workflows in a regulated healthtech environment. The position involves hands-on system design, workflow orchestration, and development of reliable, auditable AI-powered processes integrated with external platforms. The engineer will lead technical decisions and ensure production-grade reliability, safety, and scalability. 🗂️ Requirements: 6+ years building and maintaining production software systems, Strong experience designing and owning complex backend systems, Strong backend engineering experience, Experience with asynchronous or event-driven distributed systems, Experience with workflow-based systems, Experience integrating AI or LLM-based systems into business workflows, Ability to design scalable, reliable, and auditable systems, Experience working with external or legacy APIs, Ability to overlap 4–5 hours with US time zone, Strong English communication skills 📃 Skills: TypeScript, Node.js, AI, LLM, Anthropic, Claude, APIs, DistributedSystems, EventDriven, Workflows, Backend, Architecture, Monitoring, Testing 🏢 Description: Please Note: Overlap with Central US Time required (until 20-21:00 CEST) We are a health technology company that helps older people and their families apply for important eldercare benefits, including Medicaid, Medicare, and VA programs. We work with healthcare, government systems, and people’s daily lives, so accuracy, reliability, and trust are very important. As the number of patients grows from hundreds to thousands, manual work is no longer enough. We are building AI-powered systems to automate routine tasks while keeping people involved for quality checks, difficult cases, and patient safety. Our goal is to make healthcare operations more scalable without losing the human connection. The Role We are looking for a Senior Software Engineer to lead the design and development of systems that combine AI automation with human workflows. This is an important role close to the core business. It is a fully hands-on position with no management duties or direct reports. You will not only build features, but also design systems, define best practices, and guide technical decisions as we grow. You should feel comfortable solving unclear problems, working closely with operations and product teams, and making smart decisions in a regulated environment. This role is a good fit for someone who enjoys system design, building reliable infrastructure, and taking ownership of their work. What You’ll Work On Designing workflow and orchestration systems for complex operations. Creating AI automations that handle routine tasks safely and send difficult cases to humans. Building systems where AI supports human work before, during, and after tasks. Managing long-running workflows that can last days or weeks. Connecting with external systems such as EVV platforms, insurers, government portals, and older messaging tools. Designing confidence scoring, auditing, and rollback systems for AI processes. Improving system reliability, monitoring, and error handling in production. Responsibilities Lead the technical design and development of scalable backend systems. Make and document architecture decisions with clear trade-offs. Create patterns for collaboration between AI systems and human workers. Work closely with operations teams to understand real-world issues and edge cases. Make sure systems are observable, auditable, and safe to run at scale. Identify technical risks early and suggest solutions. Maintain high standards for code quality, testing, and system design. Share knowledge and help improve the team’s technical standards through reviews and collaboration. What We’re Looking For Required 6+ years of experience building and maintaining production software systems. Strong experience designing and owning complex backend systems. Strong backend engineering skills (we use TypeScript and Node.js, but other languages are welcome). Experience with asynchronous, event-driven, or workflow-based distributed systems. Ability to work with a daily 4–5 hour overlap with the US team (until 20:00 or 21:00 Polish time). Comfortable working with unclear problems and incomplete information. Strong spoken and written English communication skills. Self-motivated with a strong sense of ownership and responsibility. Experience working with AI or LLM-based systems and process automation, such as using Anthropic’s API (Claude) or similar tools in business workflows. Nice to Have Experience in healthtech or other regulated industries. Knowledge of HIPAA and healthcare data privacy and security rules. Experience building systems with strict compliance or audit requirements. Experience with human review workflows. Experience integrating with unstable or legacy third-party APIs. Master’s or PhD in Computer Science, Engineering, or a related field. How We Work Remote-first company. Small, experienced teams with high trust and independence. Strong focus on system accuracy, reliability, and long-term maintenance. Practical and thoughtful use of AI, both for internal development and within our product. Direct connection to real users and operational impact.

🏢 Summary: The role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.

🏢 Summary: Senior Platform Engineer consultant role focused on building AI-native platform capabilities, governance, and developer productivity tooling in a cloud-native environment. The position involves developing secure AI agent workflows, improving CI/CD automation, and enabling self-service engineering solutions for internal teams. This hybrid Stockholm-based assignment runs until the end of the year in a fast-moving and exploratory environment. 🗂️ Requirements: 5+ years of software, platform, DevEx, or infrastructure engineering experience, Strong proficiency in Java, Strong proficiency in Spring Boot or Go, Hands-on experience with AWS, Hands-on experience with EKS/Kubernetes, Experience with service deployment and observability, Experience designing and automating CI/CD pipelines, Experience with GitHub Actions, Ability to build self-service developer solutions, Strong communication and presentation skills 📃 Skills: Java, Spring, Go, AWS, EKS, Kubernetes, CI/CD, GitHub, Actions, LLMs, MCP, DevEx 🏢 Description: Role: Senior Platform Engineer - AI, Consultant Start Date: ASAP/August Number of Consultants: 3 Assignment Duration: Until end of the year Location: Hybrid setup from Stockholm Project & Environment Overview We are building the foundations for an AI-native software development lifecycle , where engineering teams can safely delegate meaningful work to AI agents within clear governance, compliance, and auditability boundaries. The team owns key parts of the internal developer experience, including AI platform capabilities, developer productivity tooling, platform compliance, and self-service workflows for engineering teams. This is a fast-moving and exploratory environment. Priorities and technical direction may evolve as we learn, validate, and ship. We are looking for a senior engineer who is highly self-driven, comfortable with ambiguity, and able to turn unclear problems into practical platform capabilities. Profile & Requirements Required Senior platform engineering experience: 5+ years of software, platform, DevEx, or infrastructure engineering experience. Strong backend engineering skills: High proficiency in Java/Spring Boot or Go . Cloud-native platform experience: Hands-on experience with AWS, EKS/Kubernetes , service deployment, observability, and production-grade infrastructure. CI/CD expertise: Strong experience designing and automating pipelines, preferably with GitHub Actions . Developer experience mindset: Ability to identify engineering friction and build practical self-service solutions that improve speed, quality, and reliability. Strong communication skills: Comfortable presenting technical solutions, running demos, and driving adoption across engineering teams. Highly Valuable Hands-on experience with LLMs , AI-assisted development, or agentic engineering workflows. Experience building or integrating multi-agent orchestration systems . Experience with Model Context Protocol (MCP) servers, tools, or similar integration patterns. Experience working in regulated environments with auditability, compliance, security, and cost-control requirements. Responsibilities & Deliverables You will build and deliver functional platform capabilities directly used by internal engineering teams. AI Agent Platform: Build secure, production-grade platform capabilities that allow teams to delegate engineering tasks to AI agents in a controlled and observable way. Agent Governance & Auditability: Implement traceability, approval flows, audit logs, cost attribution, token/API spend tracking, and operational guardrails. AI-Native CI/CD Automation: Improve GitHub Actions pipelines and integrate compliance and quality checks suitable for both human-written and agent-generated code. Developer Experience Improvements: Work closely with product engineering teams to identify daily blockers and turn them into self-service tools, templates, workflows, or platform features. Internal Adoption: Lead demos, workshops, and technical walkthroughs to help engineers understand and adopt new AI platform capabilities.

🏢 Summary: The role focuses on designing and delivering high-complexity, scalable backend solutions in a large-scale distributed ecosystem, combining deep Kotlin expertise with AI-driven capabilities such as LLM integrations. The engineer will drive architectural decisions, ensure production-grade quality, and integrate agentic AI systems into real-world workflows. This position requires strong ownership, autonomy, and impact on systems operating at significant scale. 🗂️ Requirements: Proven experience as Senior Software Engineer in high-scale environments, Deep hands-on experience with Kotlin, Commercial experience with LLM integration, Experience with agentic systems or frameworks, Strong system design and architectural skills, Experience with scalability, performance, and reliability, Experience ensuring observability of distributed systems, Ability to manage technical debt and system risks, Experience integrating AI solutions into production systems 📃 Skills: Kotlin, LLM, AI, Agentic, Architecture, Scalability, Performance, Observability, DistributedSystems, GCP, Kubernetes 🏢 Description: Senior Software Engineer (Kotlin / AI Integration / Large-Scale Systems) We are looking for a highly experienced Senior Software Engineer to join a large-scale product ecosystem operating in a complex, distributed environment. This role is designed for a strong Individual Contributor who thrives on solving high-complexity problems, influencing architecture, and delivering scalable, production-grade solutions. You will work at the intersection of modern backend engineering and AI-driven capabilities, helping evolve systems that operate at significant scale. The ideal candidate combines deep Kotlin expertise with curiosity and practical interest in AI-powered solutions — particularly LLM integrations and agentic frameworks — and understands how to translate technical decisions into real user impact. What You’ll Be Responsible For Designing and delivering high-complexity features and system components Driving architectural decisions and evaluating technical trade-offs Ensuring quality, scalability, reliability, and observability of delivered solutions Taking end-to-end ownership of implementation, from concept to production Identifying and managing technical risks, dependencies, and technical debt Integrating AI-driven capabilities (LLMs, agentic systems) into production workflows Collaborating closely with Engineers, Product Managers, and Designers Evaluating technical decisions based on measurable user impact Operating with high autonomy and accountability in a mature engineering environment Must Have Proven experience as a Senior Software Engineer delivering complex, high-scale solutions Deep hands-on experience with Kotlin Basic commercial experience and strong interest in AI-driven solutions , especially LLM integration and Agentic Systems/Frameworks Strong architectural mindset and ability to drive system design Experience managing scalability, performance, stability, and observability Ability to identify technical debt and proactively address system risks Strong collaboration and communication skills High level of ownership and autonomy Nice to Have Experience with Cloud environments (GCP preferred) and Kubernetes Experience working with large-scale distributed systems Cross-team collaboration in complex organizational structures Providing technical consultancy and knowledge sharing within teams Advising on engineering standards and continuous optimization of development practices

🏢 Summary: Senior Data Scientist / AI Engineer role focused on designing and deploying production-ready AI solutions for the insurance industry. The position involves building Agentic AI systems, LLM and RAG-based applications, and Computer Vision solutions from architecture through production deployment. The offer includes flexible work formats, professional development opportunities, and competitive compensation. 🗂️ Requirements: 5+ years of commercial experience as Data Scientist or AI Engineer, Strong Python development skills, Hands-on experience with Machine Learning, Hands-on experience with Deep Learning, Hands-on experience with Generative AI, Experience with LLMs, Experience with RAG architectures, Experience with AI Agent frameworks, Experience building production AI systems, Solid software engineering background, Experience with data analysis and AI product development, Degree in Computer Science, Data Science, Mathematics, Physics, Engineering or equivalent technical background, Upper-intermediate English level, Ability to design scalable AI solutions 📃 Skills: Python, MachineLearning, DeepLearning, GenerativeAI, LLMs, RAG, ComputerVision, AgenticAI, MultiAgentSystems 🏢 Description: (#5468) N-iX  is looking for an experienced Senior Data Scientist with a strong focus on AI Engineering. The role involves designing and delivering production-ready AI solutions for the insurance industry, with a particular emphasis on Agentic AI, LLMs, RAG pipelines, and Computer Vision. Key Responsibilities: Design and develop autonomous AI agent systems for the insurance domain Build production-ready AI solutions using: Multi-Agent Systems Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Computer Vision Research, evaluate, and implement state-of-the-art AI technologies Develop scalable AI products for international markets Collaborate with a team of Data Scientists and AI Engineers Take AI solutions from architecture and proof of concept through production deployment Participate in building proprietary AI models for the insurance industry Required Skills: 5+ years of commercial experience as a Data Scientist / AI Engineer Strong Python development skills Hands-on experience with: Machine Learning Deep Learning Generative AI LLMs RAG architectures AI Agent frameworks Experience building production AI systems Solid software engineering background Experience with data analysis and AI product development Degree in Computer Science/Data Science/Mathematics/Physics/Engineering or equivalent technical background Upper-intermediate+ English level Strong analytical thinking, proactive mindset Ability to design scalable AI solutions Ability to explain complex technical concepts Independent and structured way of working Team player Nice to Have: Experience within the insurance industry German or Spanish language skills 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 Software Engineer role focused on building and modernizing a cloud native messaging platform using .NET, Azure, microservices, and event-driven architectures. The position involves developing scalable applications on Kubernetes, implementing CI/CD and Infrastructure as Code, and supporting cloud migration and data platform modernization initiatives. The role also includes collaboration within Agile teams on architecture, integration, security, and operational excellence. 🗂️ Requirements: 7+ years of software development experience, Expertise in C#, Experience with .NET 8 or later, Hands-on experience with Microsoft Azure, Experience with Docker, Experience with Kubernetes, Experience with event-driven architectures, Experience with Kafka, Strong knowledge of REST APIs, Experience building microservices, Experience implementing CI/CD pipelines, Experience with Azure DevOps or GitHub Actions, Familiarity with MongoDB, Strong problem-solving skills, Strong communication skills 📃 Skills: C#, .NET, Azure, Docker, Kubernetes, Kafka, REST, Microservices, AzureDevOps, GitHubActions, MongoDB, Snowflake, Terraform, Bicep, Grafana, Prometheus, AzureMonitor, ApplicationInsights, CI/CD 🏢 Description: We are seeking a highly skilled Senior Software Engineer (.NET & Azure) to help design and build the next generation cloud native messaging platform replacing fragmented legacy solutions. The successful candidate will develop modern, scalable microservices using Microsoft technologies while supporting cloud migration, system integration, and platform modernization initiatives. Job responsibilities: • Design, develop, and maintain cloud native applications using .NET and Microsoft Azure. • Build scalable microservices deployed on Kubernetes. • Develop APIs and integration services supporting event driven architectures. • Implement messaging solutions using Kafka and related middleware technologies. • Participate in migrating legacy functionality to modern services. • Contribute to modernization of data platforms and integration with Snowflake, MongoDB, and target architectures. • Implement Infrastructure as Code and CI/CD pipelines. • Ensure solutions meet security, resilience, performance, and operational requirements. • Participate in architecture discussions, code reviews, and technical mentoring. • Work closely with architects, Epic Owners, QA, and DevOps engineers in Agile teams. Required Skills & Experience: • 7+ years of professional software development experience. • Strong expertise in C# and .NET (.NET 8 or later preferred). • Hands on experience with Microsoft Azure services. • Experience developing containerized applications using Docker and Kubernetes. • Experience with event driven architectures and Kafka. • Strong knowledge of REST APIs and microservices. • Experience implementing CI/CD pipelines using Azure DevOps or GitHub Actions. • Familiarity with MongoDB and modern cloud native development practices. • Strong problem solving and communication skills. Preferred Qualifications: • Experience with cloud migration and application modernization programmes. • Knowledge of Snowflake or modern data warehouse platforms. • Experience with messaging systems, middleware, and integration platforms. • Financial Services, Payments, SWIFT, or ISO 20022 experience is highly desirable. • Familiarity with DevSecOps practices, Infrastructure as Code (Terraform/Bicep), and monitoring tools (Azure Monitor, Application Insights, Grafana, Prometheus).

🏢 Summary: Senior AWS DevOps / Platform Engineer role in a scalable fintech environment focused on AWS cloud infrastructure, CI/CD modernization, and production reliability. The position involves building and maintaining cloud-native platforms, automating infrastructure, and ensuring high availability and security of mission-critical systems. The engineer will work with global teams to drive SRE practices and continuous delivery excellence. 🗂️ Requirements: 7+ years of DevOps / Platform Engineering / SRE experience, Strong hands-on experience with AWS and networking, Strong experience with Kubernetes (EKS preferred), Strong experience with Docker, Experience building and maintaining CI/CD pipelines, Strong experience with Terraform, Experience with monitoring and observability tools, Experience supporting production environments, Experience with incident response and troubleshooting, Proficiency in Python and/or Bash, Understanding of distributed systems and microservices architectures, Knowledge of high availability systems 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, ARM, Jenkins, GitLab, Azure, GitHub, Python, Bash, Prometheus, Grafana, ELK, OpenSearch, Datadog, CloudWatch, ArgoCD, Linux 🏢 Description: 🚀 Senior AWS DevOps / Platform Engineer 📍 Remote (Poland) | Occasional visits to Warsaw 💰 Rate: up to 1,500 PLN/day We are looking for an experienced Senior AWS DevOps Engineer to join a highly scalable fintech environment. The role combines platform engineering, CI/CD modernization, cloud infrastructure, and production reliability , working closely with global engineering teams. You will support and evolve mission-critical systems used across international business units, ensuring high availability, security, and continuous delivery excellence. 💡 Your Mission ☁️ Cloud & Platform Engineering Design, build, and maintain scalable AWS-based infrastructure. Ensure high availability, resilience, and performance of distributed systems. Work with modern cloud-native architectures and microservices platforms. ⚙️ CI/CD & Automation Build and maintain CI/CD pipelines using: Jenkins GitLab CI Azure DevOps GitHub Actions Migrate and improve legacy deployment pipelines. Implement GitOps and automation best practices. 🧱 Infrastructure as Code Provision and manage infrastructure using: Terraform CloudFormation ARM templates (where applicable) Standardize infrastructure provisioning across environments. 📦 Containers & Orchestration Deploy and manage containerized workloads using Docker. Work with Kubernetes (EKS preferred). Support scaling, rollout strategies, and cluster optimization. 📊 Monitoring & Observability Implement monitoring and alerting solutions using: Prometheus Grafana ELK / OpenSearch Datadog CloudWatch Improve system visibility and proactive incident detection. 🚨 Production Support (SRE mindset) Support production environments and ensure system stability. Participate in incident management and root cause analysis. Improve MTTR and system reliability through automation. Drive SRE practices (SLI / SLO / SLA). 🔐 Security & Compliance Apply security best practices in cloud environments. Support secrets management, encryption, and access control. Work in a regulated fintech environment (compliance-aware engineering). 🎯 Must-Have Skills ✔️ 7+ years of experience in DevOps / Platform Engineering / SRE ✔️ Strong hands-on experience with: AWS (core services + networking) Kubernetes (preferably EKS) Docker ✔️ CI/CD tooling: Jenkins / GitLab CI / Azure DevOps / GitHub Actions ✔️ Infrastructure as Code: Terraform (must-have) CloudFormation or ARM templates (nice to have) ✔️ Scripting: Python and/or Bash ✔️ Strong experience with: Monitoring & observability tools Production support environments Incident response & troubleshooting ✔️ Understanding of: Distributed systems Microservices architectures High availability systems ⭐ Nice to Have Experience in fintech, banking or payment systems GitOps (ArgoCD or similar) Linux administration Security tooling (OWASP, scanning, secrets management) Experience with Java-based systems Cloud certifications (AWS / Azure) 🎁 What You’ll Get ✨ Work on large-scale fintech platforms with global reach ✨ Strong engineering culture focused on automation & reliability ✨ Exposure to modern AWS + Kubernetes ecosystems ✨ Real impact on CI/CD and platform architecture ✨ Hybrid/remote flexibility (Poland-based) ✨ Long-term stable project environment ✨ Opportunity to work with experienced DevOps & SRE teams 🚀 Ready to build and scale cloud platforms that power global fintech systems? Join us and help shape a modern AWS-driven DevOps & platform engineering environment focused on automation, reliability, and continuous delivery.