Senior Software Engineer

🏢 Summary: Development of LLM-powered applications and data pipelines for a modern insurance platform, integrating multiple data sources in AWS and Snowflake environments. The role focuses on building and improving a domain-specific chatbot using advanced LLM techniques such as RAG, prompt engineering, and feedback loops. It requires close collaboration with cross-functional teams and availability in the PT timezone. 🗂️ Requirements: Commercial experience with TypeScript, Experience building LLM-powered applications, Hands-on experience with AWS, Experience with Snowflake, Experience designing ETL or ELT pipelines, Experience integrating APIs and external data sources, Ability to design data transformations and data-access layers, Fluent English, Availability for meetings in PT timezone 📃 Skills: TypeScript, Snowflake, AWS, LLM, RAG, APIs, ETL, ELT, Chatbots, SQL, Prompting, Evaluation, Orchestration, EventDriven 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Please note that working within this project means availability for meetings in PT timezone (mainly till 19:00, usually no later than 18:00) and fluent English. About project: It is a modern insurance brokerage and advisory firm that supports fast-growing companies, particularly in the technology, life sciences, and professional services sectors. The organization combines deep risk management expertise with advanced technology and AI-powered tools to deliver more efficient, tailored insurance solutions to its clients. Its mission is to transform the traditional insurance industry, which is often perceived as complex, slow, and not well suited to the needs of modern businesses. Through digital workflows, automation, and a customer-centric approach, the company simplifies insurance processes, accelerates decision-making, and improves transparency across the entire client experience. By partnering with ambitious leaders and innovative organizations, it helps businesses identify, manage, and mitigate risks associated with growth. Beyond providing insurance coverage, the company offers strategic advisory services that enable clients to make confident decisions and scale their businesses with greater security and peace of mind. What you will do : Work with the following technologies and environments: Agentic AI , TypeScript, Snowflake, AWS, LLM-related technologies , data integrations, APIs, ETL/ELT pipelines. Build LLM-powered applications using modern approaches such as retrieval-augmented generation, tool usage, context management, prompt engineering, evaluation, and feedback loops. Work on a chatbot that can learn from user interactions, improve over time, and support users with domain-specific knowledge. Design and implement integrations with multiple internal and external data sources. Prepare reliable data pipelines, transformations, and data-access layers that enable LLM applications to use structured and unstructured data effectively Take ownership of ambiguous problems and drive solutions end-to-end. Communicate with the team, discuss new ideas, and work closely with non-technical users. Work on a dynamic, startup-style project where learning the domain, experimenting, and iterating quickly are important. Nice To Have: Experience with event-driven architectures and workflow orchestration tools. Experience in regulated domains such as insurance, fintech, or healthcare. Familiarity with AWS services and distributed backend infrastructure. Benefits: B2B contract International projects, often at the cutting edge of technology Experienced team - exchange your expertise with other passionate engineers A challenging yet thriving work environment - we push ourselves to be better everyday Modern tech stacks Remote working possibilities Flexible hours

🏢 Summary: Technical role supporting an AI platform that automates and scales ML processes, focused on maintaining and developing documentation infrastructure and API docs generation. The position involves working with OpenAPI specifications, static site generators, and CI/CD pipelines to ensure high-quality, automated documentation delivery. Includes participation in on-call rotations and collaboration within modern DevOps-driven environments. 🗂️ Requirements: Proven experience with MkDocs and MkDocs-Material, Proficiency in Python, Experience with static site generators, Experience generating API documentation from OpenAPI spec, Strong knowledge of REST API principles, Experience with Git and GitHub workflows, Experience with CI/CD pipelines and GitHub Actions, Scripting skills for task automation, Understanding of dependency management tools (e.g., Poetry), Availability for on-call duty (5 AM–5 PM CEST, once every six weeks) 📃 Skills: Python, MkDocs, Material, OpenAPI, REST, Swagger, Redoc, Git, GitHub, CI/CD, GitHubActions, Poetry, Markdown, Docker, Bash, Shell, HTML, CSS, JavaScript, WCAG 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Currently, we’re working with a client specialising in AI solutions at scale. The platform helps automate and scale ML processes, allowing access regardless of technical prowess. Please note that working on this project requires availability for on-call duty once every six weeks from 5 AM to 5 PM (CEST time zone). Responsibilities Support projects and smaller “paper cuts” for the docs portal Work with OpenAPI spec for REST services (portions of documentation generated from spec) Markdown, MkDocs/Material CI/CD, Git, basic shell/bash scripting Docker, k9s (work with test/deploy pipelines) Some frontend/CSS experience is a plus Required Skills and Experience Proven experience with MkDocs and MkDocs-Material. Experience with other static site generators (e.g., Hugo, Jekyll, Sphinx) is a plus. Proficiency in Python. Familiarity with dependency management tools like Poetry. Experience with scripting to automate tasks, such as managing redirects, generating documentation, and integrating with external systems. Deep understanding of REST API principles and the OpenAPI Specification. Experience with generating API documentation from spec files (e.g., using tools like Swagger or Redoc). Expertise in using Git and GitHub for version control, including pull request workflows. Experience with continuous integration/continuous deployment (CI/CD) pipelines, particularly with GitHub Actions for tasks like linting (Vale) and build processes. Knowledge of modern development best practices, including writing clean, maintainable code, and testing. Experience with web accessibility standards (e.g., WCAG) is a plus, as it's often a component of a quality front-end experience. Desirable Experience (Plus) Strong proficiency in front-end technologies: HTML, CSS, and JavaScript. Proven capability to translate design specifications into precise, pixel-accurate implementations. Understanding of basic security best practices in a development environment—especially when handling credentials, API keys, and sensitive configuration files. Awareness of potential risks in integrating AI tools (e.g., prompt injection, data exposure) is beneficial. Benefits: B2B contract International projects, often at the cutting edge of technology Experienced team - exchange your expertise with other passionate engineers Modern tech stacks Flexible hours Integration meetings

🏢 Summary: Technical leadership role focused on designing, developing, and scaling complex system-level solutions in areas such as deployment, monitoring, databases, and load balancing. The position combines hands-on programming with architectural ownership and coordination of a small engineering team. Emphasis is placed on building reliable, high-performance distributed systems within large-scale infrastructure. 🗂️ Requirements: Extensive programming experience, Experience designing complex IT systems, Ability to lead technical design and implementation, Experience leading project teams, Strong knowledge of concurrent programming, Strong knowledge of distributed systems, Performance analysis and optimization skills, Understanding of infrastructure components (deployment, monitoring, databases, load balancing), Ability to conduct code reviews, C1 English, C1 Polish 📃 Skills: Java, Python, Kubernetes, Prometheus, Aerospike, Memcached, GCP, BigQuery, MinIO, Kafka, ClickHouse, PostgreSQL, Elasticsearch, Jenkins, Graphite, Concurrency, DistributedSystems, LoadBalancing, Monitoring, Deployment 🏢 Description: If you enjoy working on technically complex and challenging solutions, have a strong interest in system-related topics such as deployment, monitoring, databases, and load balancing, and have experience leading the design and development of complex projects while coordinating the work of others, this role could be a great fit for you. You Will: Plan and then hands-on lead further development within a given technical area like deployment, monitoring, databases or load balancing, in the context of existing infrastructure within RTB House; Coordinate the work of a project team of 3-4 people, also making arrangements with other teams and units within RTB House; Ensure the reliability and scalability of the solutions built. Desired Experience: Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms; Ability to proactively define requirements, ask appropriate questions and draw conclusions that will combine technical constraints and business needs; Ability to lead the design and implementation of a solution; Experience in leading project teams; Willingness to be involved in topics that go beyond programming and design, such as responsibility for technical areas or communication with other teams; Proactive attitude, independence in taking action; Extensive experience in programming and readiness to implement key system elements as well as involvement in code reviews; Good knowledge of methods of creating concurrent programs and distributed systems; Ability to critically analyze created solutions in terms of performance (from estimating the theoretical performance of designed systems to detecting and removing actual performance problems in production); C1 level in English and Polish. Selected technologies used: Java, Python Kubernetes, Prometheus Aerospike, Memcached Google Cloud Platform, BigQuery, MinIO Kafka, Clickhouse PostgreSQL Elasticsearch Jenkins, Graphite We Offer: Attractive compensation; Work in a team of enthusiasts who are willing to share their knowledge and experience; Flexible cooperation conditions - we do not have core hours, we do not have holiday limits; Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project; You can work fully remotely or in a hybrid model (we have an office in Warsaw and Cracow).

🏢 Summary: Technical leadership role combining hands-on backend development with architecture ownership for cloud-native IoT and robotics platforms. The position focuses on designing and building scalable, low-latency distributed systems processing real-time data from sensor networks in AWS. You will drive architectural decisions, support engineers, and deliver end-to-end solutions. 🗂️ Requirements: Proficiency in Python, Experience building RESTful APIs (FastAPI, Flask, or Django), Strong knowledge of AWS core services (Lambda, S3, ECS/EKS, IoT Core), Experience with cloud-based architectures, Experience in IoT projects (device communication, data ingestion, real-time processing), Hands-on experience with distributed systems (microservices or event-driven architectures), Experience designing scalable systems end-to-end, Ability to lead technical discussions and own architecture decisions, Experience mentoring engineers, Fluent English 📃 Skills: Python, FastAPI, Flask, Django, AWS, Lambda, S3, ECS, EKS, IoT, Microservices, Event-driven, Kafka, MQTT, Pulsar, Monitoring, Tracing, Logging 🏢 Description: We’re looking for a technical leader who combines hands-on backend development with architecture responsibilities. You’ll act as a technical authority in the team - shaping architecture, supporting engineers, and driving key technical decisions. You’ll work on cloud-native systems powering IoT and robotics platforms - handling real-time data from distributed sensor networks, ensuring efficient communication with control centers, and building scalable, low-latency systems. Robotics experience isn’t required, but strong IoT knowledge and experience building high-performance distributed systems are essential. Your motivation to grow in this field matters most. We’re looking for engineers with Proficiency in Python and experience building RESTful APIs (FastAPI, Flask, or Django). Good understanding of AWS ecosystem - familiarity with core services (e.g. Lambda, S3, ECS/EKS, IoT Core) and cloud-based architectures. Experience working on IoT-related projects - understanding of device communication, data ingestion, and real-time data processing. Experience designing and owning scalable systems end-to-end - hands-on experience with distributed architectures (e.g. microservices, event-driven systems). Ability to lead technical discussions with clients and take ownership of proposed solutions - comfortable explaining trade-offs and making decisions. Experience mentoring engineers and influencing technical direction within a team. Fluent English (written and spoken). Nice to have Experience with messaging/streaming systems (e.g. Kafka, MQTT, Pulsar). Familiarity with observability (monitoring, tracing, logging) in distributed systems. Who we are? Spyrosoft’s Robotics team - a group of specialists supporting global tech companies in designing, building, and scaling robotic platforms for mobile robots, drones, and industrial platforms. Our focus spans cloud-native architectures, real-time data processing from robots, and integration with enterprise systems. Responsibilities Act as a technical go-to person for the team and client stakeholders. Design, validate, and develop end-to-end robotics platforms. Support technical workshops and discovery sessions with clients. Build and validate prototypes for new solutions and concepts. Own architecture decisions and drive system design across projects. Write high-quality, maintainable code and support best engineering practices. Collaborate with engineers, product, and other stakeholders. Contribute to technical direction in backend and cloud solutions.

🏢 Summary: Hands-on ML Engineer role to evolve a computer vision mobile app from prototype to production, improving model accuracy and building scalable ML infrastructure. You will design automated pipelines for adding new species, optimize models for on-device deployment, and extend support to Android. The role focuses on end-to-end ML lifecycle ownership, from training to mobile deployment. 🗂️ Requirements: 5+ years of ML engineering experience, Strong experience with PyTorch, Experience with vision transformers (ViT/timm), Experience with YOLO or Ultralytics, Experience with full ML lifecycle (training, evaluation, export, deployment), Experience deploying models to CoreML or TFLite, Experience building ML pipelines with versioning and experiment tracking, Experience implementing CI/CD for ML workflows, Experience working with small or noisy datasets, Experience designing scalable classification systems, Experience with orchestration tools (Airflow, Prefect, or Dagster) 📃 Skills: Python, PyTorch, ViT, timm, YOLO, Ultralytics, CoreML, TFLite, Airflow, Prefect, Dagster, CI/CD, MediaPipe, Quantization, Pruning, Distillation 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Our client is building a mobile app that uses computer vision to identify fish species, classify sex, and estimate length from photos. We’ve proven the concept — species classification at 87.6% accuracy, a length regression model with 73% improvement over baseline, and CoreML export running on iOS. Now we need someone to take this from working prototype to production-grade ML system. The founder has built the initial models and pipeline in Python, and your job is to improve model accuracy, build the infrastructure to support continuous improvement, and extend deployment to Android. This is a hands-on, build-it-yourself role — not a management position. What You’ll Own Design and build a repeatable, scalable process for adding new fish species to the classifier. Today, adding a species involves manual image scraping, hand-curated CSVs, and ad hoc retraining. We need a system where a new species can go from “we want to support this” to “it’s live on device” with minimal manual effort. What We’re Looking For 5+ years of experience in ML engineering, with meaningful time spent on both model development and production infrastructure. Specifically: Strong PyTorch experience, ideally with vision transformers (ViT/timm) and object detection (YOLO/ultralytics) Familiarity with the full model lifecycle — training, evaluation, export, and on-device deployment Hands-on experience deploying models to mobile (CoreML and/or TFLite); you don’t need to be an iOS/Android app developer, but you need to produce optimized model artifacts that mobile engineers can integrate Experience building ML pipelines with proper versioning, experiment tracking, and CI/CD Comfort working with small, noisy datasets and knowing how to get the most out of limited labeled data Experience designing classification systems that scale — adding new classes without full retraining or accuracy regression Familiarity with at least one orchestration tool (Airflow, Prefect, Dagster) Self-directed — you’ll be working with a small team and need to make pragmatic architecture decisions without a lot of oversight Nice to Have Experience with MediaPipe or similar pose/landmark detection frameworks Background in ecological or biological image classification Experience with on-device A/B testing frameworks Familiarity with edge inference optimization (quantization, pruning, distillation) Experience with few-shot learning or other techniques for bootstrapping new classes with limited data

🏢 Summary: Technical leadership role within Platform Engineering focused on designing and developing scalable, reliable infrastructure components such as deployment, monitoring, databases, and load balancing. The position involves leading complex system-level projects and coordinating a small engineering team while contributing hands-on to critical system elements. The role centers on building and optimizing distributed, high-performance systems in a large-scale production environment. 🗂️ Requirements: Extensive programming experience with hands-on contribution to core system components, Strong knowledge of concurrent programming and distributed systems, Experience designing and implementing complex system architectures, Ability to analyze and optimize system performance in production environments, Experience with deployment, monitoring, databases, and load balancing, Experience leading technical projects and coordinating engineering teams, Understanding of complex IT systems from hardware to software and algorithms, Ability to define technical requirements aligned with business constraints 📃 Skills: Java, Python, Kubernetes, Prometheus, Aerospike, Memcached, GCP, BigQuery, MinIO, Kafka, Clickhouse, PostgreSQL, Elasticsearch, Jenkins, Graphite, Concurrency, DistributedSystems, LoadBalancing, Monitoring, Databases, Deployment 🏢 Description: Our Platform Engineering team, within the Bidding Platform structure, is looking for engineers with a strong interest in system-related topics (deployment, monitoring, databases, load balancing), as well as experience in leading the specification and development of complex projects and coordinating the work of others. If you want to work on technically challenging and sophisticated solutions, this is the opportunity for you! You Will: Plan and then hands-on lead further development within a given technical area like deployment, monitoring, databases or load balancing, in the context of existing infrastructure within RTB House; Coordinate the work of a project team of 3-4 people, also making arrangements with other teams and units within RTB House; Ensure the reliability and scalability of the solutions built. Desired Experience: Excellent understanding of how complex IT systems work - from the hardware level, through software, to algorithms; Ability to proactively define requirements, ask appropriate questions and draw conclusions that will combine technical constraints and business needs; Ability to lead the design and implementation of a solution; Experience in leading project teams; Willingness to be involved in topics that go beyond programming and design, such as responsibility for technical areas or communication with other teams; Proactive attitude, independence in taking action; Extensive experience in programming and readiness to implement key system elements as well as involvement in code reviews; Good knowledge of methods of creating concurrent programs and distributed systems; Ability to critically analyze created solutions in terms of performance (from estimating the theoretical performance of designed systems to detecting and removing actual performance problems in production); C1 level in English and Polish. Selected technologies used: Java, Python Kubernetes, Prometheus Aerospike, Memcached Google Cloud Platform, BigQuery, MinIO Kafka, Clickhouse PostgreSQL Elasticsearch Jenkins, Graphite We Offer: Attractive compensation; Work in a team of enthusiasts who are willing to share their knowledge and experience; Flexible cooperation conditions - we do not have core hours, we do not have holiday limits; Access to the latest technologies and the possibility of real use of them in a large-scale and highly dynamic project; You can work fully remotely or in a hybrid model (we have an office in Warsaw and Cracow).

🏢 Summary: The offer is for a DevOps Engineer responsible for building and supporting tools, processes, and infrastructure that enable fast, reliable, and scalable software delivery. The role focuses on CI/CD, cloud infrastructure, container orchestration, observability, and integrating AI-powered tools into the software development lifecycle. It involves ensuring high availability, automation, and operational insight across AWS-based environments. 🗂️ Requirements: 3+ years of experience with DevOps practices and Continuous Delivery, Practical experience with AI-powered development assistants, Hands-on experience with AWS services and networking, Experience with Kubernetes and container orchestration, Knowledge of Python, Experience with GitOps practices, Experience with CI/CD pipelines and tooling, Experience with monitoring, logging, and observability tools, Knowledge of Terraform and Helm, Proficiency in Bash and PowerShell scripting, Knowledge of API management tools, Security awareness (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the EU 📃 Skills: AWS, Kubernetes, EKS, Python, GitOps, ArgoCD, Terraform, Helm, Bash, PowerShell, GitLab, GitHub, CI/CD, Prometheus, Grafana, AppDynamics, OpenSearch, Apigee, Tyk, Kiro, OWASP, Encryption 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: mart and tech-savvy engineer with 3+ years of experience working with DevOps practices and Continuous Delivery, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, practical knowledge of AWS services, infrastructure and networking, working experience with Kiro, practical knowledge of Tyk, proficiency in Google Cloud Apigee, experience with Kubernetes (ideally EKS on AWS) and container orchestration, Python knowledge, hands-on with GitOps practices, preferably with ArgoCD, medium skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required. 🟣 Nice to have: Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, MultiSport card - we subsidise a MultiSport card, mental Health Support.

🏢 Summary: The offer is for a backend-focused AI Engineer role building a modern AI platform for business process automation and multi-agent system integration in a production-grade enterprise environment. The position centers on developing scalable Python-based services, secure API integrations, and cloud-native AI solutions using LLMs and RAG. The role involves designing robust, secure, and scalable architectures deployed on AWS or Azure with containerized infrastructure. 🗂️ Requirements: Extensive experience in backend development with Python in production environments, Hands-on experience with AI Agents, RAG, MCP, or LLM-based solutions, Experience with system integrations and API architecture, Experience with scalable cloud-based applications, Experience with AWS or Azure, Experience with Docker and Kubernetes, Experience designing secure and scalable enterprise solutions, Experience with multi-agent systems and workflow automation, Ability to conduct code reviews and mentor developers, Fluent English and Polish 📃 Skills: Python, LLM, RAG, MCP, AWS, Azure, Docker, Kubernetes, API, Microservices, Cloud, AI, Agents 🏢 Description: Additional information The project focuses on building and developing a modern AI platform supporting business process automation and the integration of intelligent agents with enterprise systems. The team is creating scalable solutions based on Python, cloud technologies, and multi-agent architecture, leveraging technologies such as LLMs, RAG, and advanced workflow automation. A key aspect of the project is designing secure integrations between AI platforms, internal systems, and external APIs within a production-grade environment. The project is delivered in an international technology-driven environment with a strong focus on innovation, high-quality architecture, and the development of cutting-edge AI solutions for a global industrial organization. You’re ideal for this role if you: Have extensive experience in backend development with Python in production environments Have hands-on experience with AI technologies such as AI Agents, RAG, MCP, or LLM-based solutions Understand system integrations, API architecture, and scalable cloud-based applications Have worked with AWS or Azure and containerized environments such as Docker and Kubernetes Are experienced in designing secure and scalable enterprise solutions Have strong problem-solving skills and can proactively remove technical blockers Enjoy working closely with cross-functional teams in an international environment Have experience mentoring developers, conducting code reviews, and promoting engineering best practices Are interested in modern AI architectures, workflow automation, and multi-agent systems Communicate fluently in English and Polish and feel comfortable working in a global setup Your day-to-day responsibilities include:​ Designing and developing scalable backend services and AI-driven integration solutions in Python Building and maintaining APIs, connectors, and middleware between AI platforms and enterprise systems Creating and optimizing multi-agent workflows and intelligent automation processes Collaborating with AI Engineers, Data Engineers, and other technical stakeholders on system architecture and integrations Integrating external AI platforms, internal tools, and cloud services into production environments Working with cloud technologies and containerized infrastructure in AWS or Azure environments Improving the quality, reliability, and performance of AI-powered solutions and LLM-based workflows Conducting code reviews, mentoring team members, and supporting engineering best practices Troubleshooting technical issues, identifying bottlenecks, and driving continuous improvements Contributing to technical documentation, architecture discussions, and innovation initiatives across the team

🏢 Summary: The offer is for a senior DevOps/Platform Engineer role focused on building and scaling CI/CD pipelines, cloud infrastructure, and observability solutions to ensure high availability, reliability, and fast software delivery. The position involves working with Kubernetes, cloud platforms, GitOps, and AI-related tooling to support modern, scalable application environments. It requires strong hands-on technical leadership and expertise in automation, infrastructure as code, and monitoring. 🗂️ Requirements: 5+ years of experience with DevOps practices and Continuous Delivery, Hands-on experience with AWS and Azure services, Strong experience with Kubernetes (EKS, AKS) and container orchestration, Proficiency in Terraform and Helm, Experience with GitOps practices (e.g., ArgoCD), Experience with CI/CD pipelines (GitLab CI/CD, GitHub Actions or similar), Strong scripting skills in Bash and PowerShell, Python knowledge, Experience with monitoring and observability tools, Strong networking knowledge, Experience with AI Agents and Claude Code, Experience with FastMCP or other MCP libraries, Knowledge of security best practices (OWASP, encryption, secrets management), Upper intermediate/advanced English (B2/C1), Work permit and residence in the European Union 📃 Skills: AWS, Azure, Kubernetes, EKS, AKS, Terraform, Helm, ArgoCD, GitLab, GitHub, Python, Bash, PowerShell, Prometheus, Grafana, AppDynamics, OpenSearch, Claude, FastMCP, FluxCD, Harness, Rancher, Keycloak, Networking, GitOps, CI/CD 🏢 Description: 🟣 You will be: building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations (ideally with greater quality and the necessary operational insight), ensuring availability, reliability and scalability of application infrastructure, building and supporting continuous integration/delivery and release tools, ensuring the right metrics are collected and monitored. 🟣 Your profile: hands-on experience as a tech leader, smart and tech-savvy engineer with 5+ years of experience working with DevOps practices and Continuous Delivery, practical knowledge of AWS and Azure services, infrastructure and networking, solid experience with Kubernetes (EKS and AKS) and container orchestration, Python knowledge, strong networking skills, experience in Claude Code, experience in working with AI Agents, experience in FastMCP or other MCP libraries, hands-on with GitOps practices, preferably with ArgoCD, strong skills in Terraform and Helm, proficiency in Bash and PowerShell scripting, experience with CI/CD pipelines and tooling (GitLab CI/CD, GitHub Actions, or similar), experience with monitoring, observability, and logging tools, such as Prometheus, Grafana, AppDynamics, and OpenSearch, security awareness (OWASP, encryption, secrets management), very communicative and collaborative, with a strong sense of ownership, upper intermediate/advanced English (B2/C1). Work from the European Union region and a work permit are required 🟣 Nice to have: AWS/ Azure certifications such as Solutions Architect or Platform Engineer, familiarity with FluxCD, experience with Harness, experience with Rancher, knowledge of Keycloak. 🟣 Recruitment Process: CV review – HR Interview – Technical Interview - Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budgets of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, access to Udemy, O'Reilly (formerly Safari Books Online) and more, events and technology conferences, technology Guilds, internal training, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: B2B or employment contract, contract for an indefinite period.

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.