Construction Site Manager - Prague

Join us at the forefront of technology as we revolutionize the data storage industry. At Pure Storage, you will engage in innovative thinking, collaborate with the brightest minds in the field, and grow alongside us.Our mission is to create transformative solutions that empower businesses to harness the full potential of their data. If you are ready to embrace limitless opportunities and make a significant impact, we invite you to be part of our journey.In the current landscape, data is the new oil. For businesses aiming to maximize their data usage, establishing a robust infrastructure for data storage and querying is paramount. This is where Everpure's advanced hardware and software solutions come into play, unlocking the maximum value from your data.THE ROLEAs a Site Reliability Engineer at Everpure, you will oversee the infrastructure, internal tools, and production services critical to our operations. You will collaborate with all internal engineering teams to ensure the reliability of services that support the development of innovative products and features across various environments, from data centers to public cloud platforms.Your mission as a Reliability Engineer will involve redefining the resiliency of Everpure's vital infrastructure applications. You will take the lead in designing and implementing advanced observability solutions, shaping the future of application data management and incident response at Pure, utilizing cutting-edge technologies and AI to streamline engineering processes.We are seeking engineers with a dual focus on software and systems skills, who are passionate about reliability, performance, and efficiency, and who possess experience in developing tools, services, and automations to enhance production services.WHAT YOU'LL DODesign, operate, maintain, and troubleshoot enterprise systems, including databases, message queues, APIs, and distributed applications, utilizing data metrics such as SLOs and error budgets.Establish sustainable incident response practices and conduct blameless postmortems to mitigate future issues.Support services pre-launch through system design, software platform development, capacity planning, and launch reviews.Sustainably scale systems through scripting and automation, continuously improving operational reliability and efficiency.Collaborate across teams and time zones to deliver high-quality outcomes for our customers.

Join us at the forefront of technological innovation as we revolutionize the data storage industry. At Pure Storage, you’ll lead with creative solutions, grow alongside industry experts, and be part of a team that is redefining what’s possible.If you’re eager to make a meaningful impact and embrace limitless opportunities, we invite you to become a part of our dynamic organization.THE ROLEAs a Site Reliability Engineer at Pure Storage, you will play a pivotal role in enhancing the performance and stability of our essential engineering infrastructure and production services globally. This hybrid role combines software expertise and systems knowledge, where you'll take ownership of the reliability and operational excellence of core applications driving Pure’s innovative offerings. You will have the unique opportunity to set benchmarks for operational efficiency through automation, collaborative postmortems, and ambitious service level objectives alongside your engineering peers.WHAT YOU'LL DOEnsure exceptional service reliability for our cloud platforms and infrastructure by implementing comprehensive monitoring, proactive incident response, and conducting thorough root cause analysis (RCA) in a 24x7 environment.Transform operational practices by identifying, designing, and implementing automated solutions for manual cloud service operations and deployment, significantly boosting efficiency and minimizing human error.Collaborate with development teams to integrate SRE principles early in the development lifecycle, defining enhancements to service architecture that promote high availability, scalability, and compliance with established SLAs.Enhance the observability stack by configuring and refining service health monitoring, collecting critical metrics, and developing effective alerting systems to maintain comprehensive insight into system performance.Champion modern cloud operations technologies by exploring and implementing new tools for Infrastructure as Code (IaC), container orchestration, and high-availability (HA), continuously optimizing the reliability and scalability of our cloud services.

Who We AreAt duvo, we are committed to revolutionizing enterprise workflows. Our mission is to eliminate the chaos that arises from data duplication across systems, which often leads to costly delays and risks. Our fast-paced team is dedicated to solving real-world challenges for our customers, and we are on the lookout for exceptional talent to join us in this journey. We believe in staying grounded, executing diligently, and letting our results speak for themselves.What We Are BuildingWe are developing the Agentic Automation Platform for enterprises, a cutting-edge solution where AI agents perform work seamlessly across various user interfaces and APIs while ensuring governance. Our platform empowers business users to define outcomes, allowing agents to strategize, execute, seek approvals for exceptions, and continuously learn from each task. Initially targeting retail functions such as category management and supply chain, we aim to demonstrate clear ROI and expand into adjacent sectors.Speed is our advantage: we prioritize rapid shipping, continuous iteration, and cumulative learning to maintain our competitive edge.What We Are Looking ForInstinct for Scalable, Distributed Systems: You have experience in designing and operating scalable systems.Engineers who possess a strong focus on security and reliability.High Ownership & Agency: You take initiative and are capable of unblocking your own progress.Collaborative Team Players: You work well with others and have a mindset focused on growth.Adaptable Engineers: You are eager to learn about our technology stack and beyond.Creative Problem Solvers: You thrive on tackling new technical challenges and take the lead in finding solutions.You Might AlsoBe a product-oriented builder who places great importance on customer outcomes and value.Have expertise in Large Language Models (LLM) and their effective use in production settings.Possess strong UI/UX sensibilities and attention to detail.Be a full-stack generalist who enjoys tackling new challenges in ambiguous situations.

Join us in a thrilling phase of technological advancement as we revolutionize the data storage sector. At Pure Storage, you will lead with innovative ideas, grow alongside us, and collaborate with some of the brightest minds in the industry.If you are ready to harness limitless opportunities and make a significant impact, we invite you to be part of our team.THE ROLEIn a world dominated by cloud computing, the reliability of cloud platforms is essential. As a Site Reliability Engineer (SRE), you will play a pivotal role in enhancing the reliability of our cloud infrastructure and services. As Pure Storage transitions to a cloud-first approach, we are on the lookout for SREs who can lead our cloud-centric transformation across the engineering organization. This team is dedicated to achieving flawless uptime, effortless scalability, observability, and unparalleled availability.As a member of our globally distributed SRE team, you will work in close collaboration with engineering teams across the US and Europe to design, automate, and manage the services our customers depend on every moment. This position is perfect for those eager to shape cloud architecture, drive operational excellence, and establish scalable, observable systems from the ground up.

About OutreachFounded in 2014, Outreach is the premier AI Revenue Workflow Platform designed to empower sales leaders with unparalleled visibility into account performance, enhanced insights, and precise forecasting across all go-to-market teams. Our innovative use of agentic AI enables automation across hundreds of sales scenarios, from prospecting to renewals, allowing sales professionals to concentrate on strategic initiatives. Trusted by industry giants such as SAP, Siemens, Snowflake, ZoomInfo, and Verizon, Outreach is transforming how global organizations drive their revenue teams. Discover more at www.outreach.io.About the TeamThe Compute, Observability and Reliability (COR) team is dedicated to delivering robust, scalable, and cost-effective infrastructure services that empower Outreach engineering teams to deploy and manage enterprise-grade cloud solutions. As part of the Foundations organization, we focus on engineering enablement, encompassing infrastructure, services, storage, tooling, documentation, and processes. COR collaborates with various squads across the organization to optimize infrastructure costs and engineering efficiency while providing systems that facilitate scaling our application platform across diverse geographies.The RoleAs a Senior Staff Site Reliability Engineer (SRE) within the COR team, you will play a pivotal role in designing and maintaining our Kubernetes platform, managing cloud configurations, and overseeing the majority of Outreach’s infrastructure. Each SRE is expected to empathize with our internal customers (engineers) and prioritize the performance and reliability of the systems we manage. Specifically, the Senior Staff SRE is expected to be fully independent, capable of driving medium-scale technical projects autonomously.LocationThis position is primarily based in Prague, but we offer remote work flexibility within the Czech Republic. To enhance team cohesion, we organize monthly in-person meetups at our main office. Local candidates in Prague are encouraged to attend these gatherings.

Why join Nebius?Nebius is at the forefront of a revolutionary shift in cloud computing, dedicated to empowering the global AI economy. We provide innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize their industries without incurring substantial infrastructure costs or the necessity of assembling extensive in-house AI/ML teams. Our workforce operates on the cutting edge of AI cloud infrastructure, collaborating with some of the most seasoned and creative leaders and engineers in the industry.Our Work EnvironmentHeadquartered in Amsterdam and publicly traded on Nasdaq, Nebius boasts a worldwide presence with R&D centers across Europe, North America, and Israel. Our team consists of over 1,400 professionals, including more than 400 highly skilled engineers with profound expertise in both hardware and software engineering, complemented by an in-house AI R&D team.As part of Nebius Cloud, one of the largest GPU clouds globally, the Token Factory team operates tens of thousands of GPUs. We are developing an inference platform designed to deploy a variety of foundation models — including text, vision, audio, and cutting-edge multimodal architectures — quickly, dependably, and effortlessly at scale. To achieve this goal, we are seeking an engineer capable of ensuring the platform operates flawlessly under heavy loads and can recover seamlessly from unexpected issues.In this position, you will take ownership of the reliability, performance, and observability of the complete inference stack. Your day may start with designing and refining telemetry pipelines — turning hundreds of terabytes of signals into actionable insights through metrics, logs, and traces. You might also optimize Kubernetes autoscalers for enhanced GPU efficiency, create Terraform modules that incorporate resilience into every new cluster, or strengthen our request-routing and retry logic to ensure that transient failures remain unnoticed by users. When incidents occur, you will utilize the automation and runbooks you’ve developed to swiftly detect, isolate, and address issues, while fostering a post-mortem culture to prevent future occurrences. All these efforts are directed towards a singular objective: achieving smooth platform scaling while meeting rigorous cost and reliability targets.Success in this role requires a deep understanding of Kubernetes, Prometheus, Grafana, Terraform, and the principles of infrastructure-as-code. You should be comfortable scripting in Python or Bash, grasp the intricacies of alert design and SLOs for high-throughput APIs, and have enough production experience to recognize how distributed back-ends can fail in real-world scenarios. Experience managing GPU-intensive workloads — whether with vLLM, Triton, Ray, or a similar accelerator stack — will be advantageous, as will a background in MLOps or model-hosting platforms.

Why Join Nebius?Nebius is at the forefront of a revolutionary shift in cloud computing tailored to meet the demands of the global AI economy. We empower our clients with innovative tools and resources to tackle real-world challenges and revolutionize industries without incurring exorbitant infrastructure costs or the necessity of assembling large in-house AI/ML teams. Our team members work on the cutting edge of AI cloud infrastructure, collaborating with some of the most skilled and visionary leaders and engineers in the industry.Our Work EnvironmentWith headquarters in Amsterdam and a presence on Nasdaq, Nebius operates globally with R&D centers across Europe, North America, and Israel. Our team consists of over 1400 employees, including more than 400 highly proficient engineers with extensive expertise in hardware and software engineering, complemented by an in-house AI R&D team.The RoleYour Responsibilities Will Include:Ensuring fault tolerance, scalability, and continuous operations for our services.Utilizing advanced cloud technology to address a range of infrastructure challenges.Implementing and enhancing CI/CD processes.We Expect You to Have:Extensive experience with programming languages such as Go, Python, or C++.A strong grasp of classical algorithms and data structures.Professional experience and profound knowledge of Unix systems and networking technologies.Experience with containerization and configuration management tools (Ansible, Salt, Terraform, Docker, Kubernetes, Helm).Bonus Qualifications:A willingness to engage in backend development.Experience in designing, developing, and maintaining high-load distributed systems.Commercial experience with various cloud platforms.Note: Coding interviews are part of our selection process.What We OfferCompetitive salary and a comprehensive benefits package.Opportunities for career advancement within Nebius.Flexible work arrangements.A vibrant and collaborative work environment that fosters initiative and innovation.

Oddin.gg stands at the forefront of esports data science, recognized by Deloitte as the fastest-growing tech company in Central Europe for 2024. We provide innovative solutions for esports betting, specializing in popular titles such as Dota2 and League of Legends, as well as major simulators like FIFA. Our unique partnerships enable us to develop advanced mathematical models for predicting match odds, culminating in our award-winning BetBuilder product that transforms the esports betting landscape.With a dynamic team of over 200 professionals located in the Czech Republic and throughout Europe and Asia, Oddin.gg is rapidly expanding. Now, we invite you to be part of our journey! Your RoleContribute to AWS Architecture: Collaborate in designing and optimizing our AWS infrastructure (EC2, ECS, Kafka, RDS, Redis) to ensure scalability, reliability, and cost-effectiveness.Implement Infrastructure Automation: Utilize tools like Terraform or CloudFormation to automate deployments and maintain consistency across environments.Optimize Performance & Cost: Help configure systems to manage traffic spikes while optimizing resource use and budget. Provide insights on capacity planning and cost-efficiency strategies.Support Developer Experience: Establish and maintain effective CI/CD pipelines. Work closely with software engineers to streamline deployment processes and enhance productivity.Troubleshoot & Improve Systems: Identify and resolve issues to improve uptime, performance, and maintainability of systems.Knowledge Sharing & Collaboration: Collaborate with peers to share knowledge, document best practices, and continuously enhance team processes and technical standards.Your ProfileAWS Proficiency: Strong hands-on experience with core AWS services (EC2, ECS, RDS, ElastiCache/Redis, Kafka) and familiarity with designing and operating production-scale workloads.IaaC & Automation: Proficient in Terraform, CloudFormation, or similar frameworks, with experience in automating tasks for reliable deployments.CI/CD Fundamentals: Understanding of CI/CD practices (e.g., Jenkins, GitHub Actions) to support efficient build, test, and deployment cycles.High-Performance Systems: Exposure to distributed system concepts including load balancing, caching, and more.

Join Apify as a Cloud Infrastructure Engineer and play a pivotal role in designing, implementing, and maintaining robust cloud infrastructure solutions. You will work with cutting-edge technologies to enhance our cloud capabilities, ensuring reliability, scalability, and security of our services. Collaborate with a talented team to drive innovative solutions that support our client needs.

Apify builds tools that let people and organizations automate online tasks, extract web data, and use AI agents to get more done. The company believes that repetitive digital work, like filling out forms, copying data, or searching for visual details, should be handled by machines so people can focus on more meaningful problems. Web automation helps users in practical ways: some automate unsubscribing from services to save money, others collect large datasets for AI training, consumer protection, or even tracking missing children. Apify also supports AI chatbots with relevant data and explores new ways to connect with generative AI platforms. To keep advancing this mission, Apify is hiring a Senior Backend Engineer focused on proxy infrastructure and unblocking. This role is based in Prague. What You Will Do Design and build bots that imitate real user actions to automate online processes. Work closely with a small, skilled team of developers. Improve Apify Proxy and related backend technologies. About the Role As anti-bot systems evolve, Apify needs to keep its scraping infrastructure ahead of the curve. This engineer will strengthen Apify Proxy, research anti-scraping defenses, and create internal tools using browser fingerprinting, human-like interaction patterns, and session management to keep data flowing smoothly. The team values engineers who enjoy solving tough technical problems and want to contribute to open-source proxy libraries. Location Prague

Join our dynamic team at YIT Group as a Site Manager, where you will oversee construction projects and ensure they are completed on time and within budget. Your expertise in project management and leadership will be crucial as you coordinate with various stakeholders, manage site operations, and enforce safety regulations.

Join AFRY as a Track Specialist, where you will play a pivotal role in developing and maintaining railway infrastructure. As part of our dynamic team in Prague, you will contribute your expertise to enhance the quality and safety of railway systems.

Join AFRY as a Project Manager within our Transportation Infrastructure Design team in Prague. In this pivotal role, you will lead and manage infrastructure projects, ensuring they are delivered on time, within scope, and within budget. You will work closely with clients, stakeholders, and multidisciplinary teams to develop innovative solutions that enhance transportation efficiency and sustainability.

Join us at the forefront of technology, where we are revolutionizing the data storage landscape. Lead with creativity, evolve with us, and become part of the brightest minds in the industry.Our mission is rooted in work that transforms the world, staying true to the values that founded the tech industry. If you're eager to embrace limitless possibilities and leave your mark, we invite you to join our team.THE ROLEAs a Data / AI Engineer, you will design a high-performance data ecosystem that converts raw data into actionable intelligence and advanced AI solutions. Collaborating with Data Scientists and Product Managers, you will establish the infrastructure necessary to scale our AI capabilities, setting the stage for the future of automated customer support and operational excellence.WHAT YOU'LL DOArchitect Scalable Data Infrastructure: Design, deploy, and enhance ETL pipelines and data models that generate high-quality, AI-ready datasets for global business insights.Drive AI Evolution: Spearhead the technical development of AI-driven workflows, integrating innovative LLM frameworks to automate intricate business operations and improve decision-making.Ensure Data Excellence and Integrity: Oversee the complete data management lifecycle, implementing strong governance, security, and monitoring to uphold a "single source of truth" for key stakeholders.Collaborate and Solve Across Functions: Work alongside cross-functional teams to translate business needs into technical specifications, serving as the vital link that transforms raw data into meaningful organizational impact.Operational Reliability: Manage on-call support during business hours to guarantee smooth operation of ingestion systems, ensuring high availability for our global data users.WHAT YOU BRINGAdvanced Engineering Proficiency: Extensive technical knowledge in SQL, Python, and data modeling, with a successful history of maintaining complex data pipelines and workflow orchestration tools like Airflow or DBT.Modern Data Stack Expertise: Practical experience in managing relational and NoSQL databases (such as Snowflake, PostgreSQL, or MongoDB) within AWS cloud environments.Growth Mindset & AI Curiosity: A strong desire to learn and innovate in the field of AI.

Join us at the forefront of technological innovation as we revolutionize the data storage landscape. At Pure Storage, you will be part of a dynamic team that values innovative thinking and encourages professional growth.This is your chance to make a significant impact in the tech industry, where your work can change the world. If you’re ready to embrace limitless opportunities and make your mark, we invite you to become a part of our journey.THE ROLEAs an Engineering Manager for FlashArray File Features, you will lead a dedicated team in Prague, focused on enhancing Everpure’s™ market-leading file services. You will spearhead the mission to deliver enterprise-grade, highly available file capabilities that enable innovators worldwide to efficiently manage mission-critical data. This position uniquely combines in-depth systems-level engineering with impactful people leadership, requiring close collaboration with Product Management and global R&D teams to redefine the modern data experience. Your objective will be to ensure seamless scalability of our file environments while maintaining the reliability and performance associated with Everpure™.WHAT YOU’LL DODrive End-to-End Execution: Oversee the entire software development lifecycle (SDLC) for core file features, ensuring high-quality, scalable code is delivered from design to production.Shape Technical Strategy: Collaborate with senior architects and Product Management to establish a roadmap for multi-server and directory services, making key decisions that balance feature innovation with system stability.Cultivate Engineering Excellence: Foster a culture of rigorous testing and CI/CD practices, encouraging engineers to take ownership of operational excellence and defect prevention.Empower and Develop Talent: Manage and mentor a team of 5-8 engineers, providing technical guidance on complex distributed systems while supporting their career growth.Operational Leadership: Align team objectives with global business goals by managing dependencies across Protocol and Security teams, ensuring predictable releases that adhere to the highest security and auditing standards.

Role Overview Rossum AI is hiring a Junior AI Platform Engineer to join the AI Platform (R&D) team in Prague. This entry-level role suits recent graduates or junior engineers interested in AI infrastructure and large-scale machine learning systems. As part of the team, you will help build and maintain Rossum’s proprietary LLM models. The work involves deploying AI solutions that process millions of documents, and collaborating closely with experienced research engineers. This position offers hands-on exposure to both platform engineering and machine learning in a production environment. What You Will Do Contribute to AI Infrastructure: Support the development of cloud-based AI systems (AWS), data processing pipelines, and model deployment workflows. Support CI/CD Processes: Help maintain and improve continuous integration and delivery pipelines to enable reliable model versioning and testing. System Monitoring: Build and refine monitoring tools to keep AI systems healthy and reliable. Cross-Team Collaboration: Work with research, backend, and product teams to bring new AI models into production smoothly. What We Look For Education: Degree in Computer Science or a related technical field. Background from Matfyz, CTU, FSV, or similar institutions is a plus. Python Skills: Solid programming experience in Python, gained through coursework, personal projects, or internships. Technical Fundamentals: Familiarity with SQL, and a basic understanding of Docker and Kubernetes. Interest in AI/ML: Curiosity about AI and machine learning, with a hands-on approach to understanding how systems work. English Communication: Comfortable communicating in English in a professional setting. What Success Looks Like First 3 Months: Complete onboarding, learn the system architecture, and deliver your first small tasks with guidance from a senior mentor. First 6 Months: Independently handle minor infrastructure improvements and help maintain system stability.

Why Join NebiusNebius is at the forefront of revolutionizing cloud computing to empower the global AI economy. We provide innovative tools and resources that enable our clients to tackle real-world challenges and revolutionize industries, all while minimizing infrastructure costs and avoiding the need for extensive in-house AI/ML teams. Our team collaborates with some of the most skilled and inventive leaders and engineers in AI cloud infrastructure.Our Work EnvironmentWith our headquarters in Amsterdam and listed on Nasdaq, Nebius boasts a worldwide presence with R&D centers across Europe, North America, and Israel. Our diverse team of over 1400 includes more than 400 exceptionally talented engineers with profound expertise in both hardware and software engineering, complemented by an in-house AI R&D division.Position OverviewWe are seeking a Senior Backend Software Engineer to contribute to the development of our hyperscaling platform.Responsibilities will involve significant tasks in Golang, with additional work in Java and Python.You have the flexibility to work from our offices in Prague, Amsterdam, or Berlin—whether in a hybrid setting or remotely.Key Responsibilities:Design and develop fault-tolerant, reliable cloud services, including cloud infrastructure, managed databases, Kubernetes orchestration, billing systems, monitoring systems, ML services, and more.

Our PurposeAt SentinelOne, we are fueled by a strong mission: to empower those who protect our future. In an era where AI is transforming the operational landscape, safeguarding organizations is paramount. Joining SentinelOne means your contributions directly shield global enterprises, critical infrastructure, and pioneering technologies. If you thrive on impactful challenges and wish to make a tangible difference on a global scale, you will find your purpose with us.About UsSentinelOne stands at the forefront of AI and cybersecurity, revolutionizing the way security is approached. Our AI-driven platform integrates protection across endpoints, cloud, identity, data, and AI systems, providing autonomous detection and swift response. By harnessing real-time analytics and intelligent automation within a cohesive data framework, we cut through the noise, streamline complexity, and empower security teams to prioritize effectively.Our teams are innovators and problem-solvers dedicated to crafting the future of security. If you are eager to tackle challenging problems alongside talented, mission-driven individuals, we welcome you to join us in building a safer future for humanity.What Are We Seeking?We are in search of individuals who possess an insatiable curiosity and a commitment to continuous learning. As AI influences every aspect of our business, we encourage all team members, regardless of their role or level, to develop proficiency in AI tools and concepts. Those who excel in our environment actively pursue new solutions, experiment thoughtfully, and leverage their insights to drive superior outcomes.Key Responsibilities:At SentinelOne, we are redefining the developer platform to foster a cohesive Developer Experience. We are on the lookout for a Staff (tech lead-level) Software/Infrastructure Engineer for a pivotal role that will contribute to this transformation, shaping the next generation of our platform that serves numerous teams and nearly 1000 engineers across the company.As a vital contributor to our ambitious project, you will design and implement a secure, scalable, and reliable Developer Platform & APIs utilizing modern technologies and methodologies. This Developer Platform is built on our Infrastructure Platform, and its APIs are designed to provide both a streamlined developer experience and robust internal infrastructure service protection.Your extensive experience with IDP/DevEx fundamentals will be crucial in this role.

Why Join Nebius?Nebius is at the forefront of a transformative era in cloud computing, dedicated to empowering the global AI economy. We provide the innovative tools and resources needed by our clients to tackle real-world challenges and revolutionize industries without incurring hefty infrastructure costs or necessitating the establishment of large in-house AI/ML teams. Our workforce operates at the leading edge of AI cloud infrastructure, collaborating with some of the most seasoned and creative leaders and engineers in the sector.Our Work EnvironmentWith our headquarters in Amsterdam and a presence on Nasdaq, Nebius boasts a worldwide reach with R&D hubs across Europe, North America, and Israel. Our team consists of over 1,400 employees, including more than 400 highly skilled engineers who possess extensive expertise in both hardware and software engineering, complemented by an in-house AI R&D division.About the Role:Token Factory is a key component of Nebius Cloud, recognized as one of the largest GPU clouds globally, operating tens of thousands of GPUs. We are developing an inference platform that streamlines the deployment of various foundational models—be it text, vision, audio, or the latest multimodal architectures—ensuring they are fast, reliable, and easy to deploy at an enormous scale.