Kubernetes & Cloud Infrastructure Engineer – AI Platform

🏢 Summary: The offer is for a Senior Platform Engineer responsible for designing, building, and operating scalable Kubernetes-based platforms on AWS. The role focuses on backend platform development, Infrastructure as Code with Terraform, CI/CD automation, and improving developer experience through self-service and multi-tenant solutions. It involves driving reliability, observability, and automation across a cloud-native ecosystem. 🗂️ Requirements: 5+ years of experience as a Platform Engineer, Strong hands-on experience with Kubernetes, including cluster operations, Strong programming skills in TypeScript or Go, Experience with AWS or other cloud platforms, Experience with Infrastructure as Code tools, preferably Terraform, Experience with CI/CD pipelines and deployment automation, Experience designing scalable multi-tenant systems, Strong understanding of API and platform architecture, Solid Linux and networking fundamentals, Experience with observability and monitoring solutions, Experience building self-service platform capabilities, Practical experience using AI-powered coding assistants, Work permit and residence in the European Union 📃 Skills: Kubernetes, AWS, Terraform, TypeScript, Go, Python, CI/CD, Linux, Networking, APIs, Docker, OpenTelemetry, Backstage, GitHub, Claude, Cursor 🏢 Description: 🟣 You will be: designing, building, and operating scalable Kubernetes-based platform infrastructure, developing backend platform services and reusable engineering components, building and maintaining cloud-native solutions (primarily on AWS), creating and evolving Infrastructure as Code solutions using Terraform, designing and implementing CI/CD pipelines and deployment automation, developing scalable multi-tenant platform capabilities for engineering teams, building self-service developer platform features and internal tooling, designing and maintaining APIs and platform architecture standards, improving platform reliability, observability, and monitoring capabilities, collaborating with engineering teams to improve developer experience and platform adoption, contributing to platform engineering best practices and technical standards, supporting container platform operations and orchestration processes, driving automation and operational excellence across the platform ecosystem. 🟣 Your profile: 5+ years of experience as a Platform Engineer, practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, strong hands-on experience with Kubernetes, including cluster operations and orchestration concepts, strong backend engineering background, strong programming skills in TypeScript and/or Go; Python experience is a plus, solid experience with cloud platforms, preferably AWS, practical experience with Infrastructure as Code tools, preferably Terraform, experience with CI/CD pipelines and deployment orchestration, experience designing scalable multi-tenant systems, strong understanding of API and platform architecture, solid Linux and networking fundamentals, experience with observability and monitoring solutions, experience building reusable self-service platform capabilities for developers, good English communication skills (at least B2 level). 🟣 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, experience with Internal Developer Platforms (IDP), experience building Kubernetes operators and controllers, experience with Backstage or developer portal tooling, experience in container runtime or platform engineering, knowledge of event-driven and distributed systems architecture, experience with service mesh technologies and OpenTelemetry. Work from the European Union region and a work permit are required. 🟣 Recruitment Process: CV review – HR Call – Interview – Client Interview – Decision 🎁 Benefits 🎁 ✍ Development: development budget of up to 6,800 PLN, we fund certifications e.g.: AWS, Azure, ISTQB, PSM, access to Udemy, Safari Books Online and more, events and technology conferences, technology Guilds, internal training, Xebia Library, Xebia Upskill. 🩺 We take care of your health: private medical healthcare, multiSport card - we subsidise a MultiSport card, mental Health Support. 🤸‍♂️ We are flexible: flexible working hours, B2B or permanent contract, contract for an indefinite period.

🏢 Summary: The offer is for a Senior DevOps Engineer responsible for designing, building, and operating secure, scalable cloud infrastructure for AI-driven automation platforms. The role focuses on Infrastructure as Code, CI/CD, monitoring, and automation in enterprise cloud environments, ensuring reliability, security, and compliance. It combines hands-on engineering with ownership of mission-critical services across their full lifecycle. 🗂️ Requirements: University degree in informatics or equivalent professional experience, Minimum 7 years of DevOps or infrastructure experience, Proven experience with Infrastructure as Code using Terraform, Experience with CI/CD tools such as Jenkins or GitHub Actions, Hands-on experience with AWS or Azure cloud services, Experience with DevOps workflows and automated incident response, Experience managing enterprise private cloud environments, Knowledge of secure service-to-service communication patterns, Knowledge of modern authentication protocols, Experience with monitoring, logging, and alerting systems, Experience with Python or another programming language, Understanding of AI technologies and AI process automation, Fluency in Polish and English (minimum B2) 📃 Skills: Terraform, Jenkins, GitHub, AWS, Azure, Python, CI/CD, DevOps, IaC, Monitoring, Logging, Alerting, Authentication, AI, Cloud 🏢 Description: As a Senior DevOps Engineer (AI & Automation Platform), you will be responsible for building and maintaining secure, scalable cloud infrastructures that power AI-driven automation. In this role, you will design and operate enterprise-ready solutions, implement Infrastructure as Code practices, and drive automation across systems and workflows. You will collaborate with internal teams and external vendors, ensuring performance, reliability, and compliance while mentoring colleagues and fostering an agile, innovation-oriented culture. This position is ideal for a hands-on engineer with strong analytical skills, a passion for automation, and the ability to take ownership of mission-critical services. Your Key Responsibilities Building and maintaining scalable and reliable cloud infrastructure for AI process automation platforms Ensuring operable and securing cloud-based solution architecture for custom-developed, open-source, and off-the-shelf applications Acting as technical consultant for internal colleagues and collect their feedback to ensure a successful user experience Establishing and maintaining logging, monitoring and alerting systems to proactively identify and resolve performance issues Taking on the technical responsibility of applications throughout the life cycle as part of a DevOps team Driving improvements of the automation level of our operations towards self-service Close collaboration with external software vendors for managing, developing, and maintaining IT systems Building and maintaining disaster recovery and business continuity plans for mission-critical applications and infrastructure Ensuring compliance with security policies and standards, working with security and compliance teams as necessary Your Qualifications University degree in (business) informatics or alternative training with relevant professional experience in this field At least 7 years of relevant professional experience in this field Strong automation and infrastructure as code mindset backed by proven experience in using Terraform and CI/CD technologies like Jenkins or GitHub Actions Experience with DevOps workflows for infrastructure management and automated incident response Proven experience in installing, configuring, maintaining and managing support operations with third party software in secured and enterprise ready private cloud environments Profound knowledge about common patterns for secure service-to-service connectivity and modern authentication protocols Familiarity with common monitoring, logging, and alerting solutions Hands-on experience working with managed cloud services (AWS or Azure preferred), including compute, storage, databases, and AI services Strong understanding of latest AI technology, like AI Agents, in combination with AI process automation Experience with an additional programming language such as Python Fluency in both Polish and English, with a minimum of B2 level proficiency Knowledge of German is a plus Ability and willingness to coach and to take responsibility for services Strong analytical skills with the ability to collect, organize, analyze and disseminate significant amounts of information with attention to detail and accuracy Eager to learn new technologies and skills (T-Shape philosophy) Proficiency in agile methodologies, with experience working effectively within agile teams and environments, fostering an agile mindset in daily work Willingness to travel up to 10%  of the time for work Our Offer Be a part of a global company & international team with a diverse variety of backgrounds, skills and views. As part of our IT team, you will actively shape the technology and solutions used by Schaeffler Grow with us! Get access to training platforms, internal & external trainings, supporting experts and the real-life challenges , where you will put all your skills in practice. We work in a hybrid working model (or a fully remote in a special cases) with flexible working hours . Our modern office is located in the center of Wroclaw . We offer attractive benefits package, such as medical and dental care , sports card, life insurance for you and your family. We are also providing access to our Mental Comfort Program. Our Cafeteria Platform allows you to choose from various benefit options with points monthly added to your account. Haven’t found what you are looking for? Our concierge will be happy to help! Join our CSR activities, such as tree planting, riverside cleanup, or participate in other charity events. Spend some time with your work colleagues during integrational events such as mountain trekking, city games and workshops. You can join also one of our many Passion Clubs like Foodies, Sports Team and Language Clubs as well!

🏢 Summary: Senior GCP Cloud DevOps Engineer role focused on building and managing scalable, secure GCP infrastructure in a financial services environment. The position involves engineering Infrastructure as Code solutions, optimizing cloud networking, and supporting CI/CD automation. You will drive cloud transformation by delivering resilient, compliant, and high-performance cloud platforms. 🗂️ Requirements: 5+ years experience with GCP infrastructure build and configuration, Strong Linux administration skills (preferably Red Hat), Experience with Infrastructure as Code using Terraform, Experience with CI/CD tools and automation, Scripting or programming skills (Python, Ruby, Java, JavaScript, Go, Groovy, or Scala), Strong knowledge of GCP networking (VPC, XPN, subnets, NAT, routing), Experience with IAM and cloud security controls, Understanding of monitoring and logging solutions, Fluent English, Legal right to work in the EU 📃 Skills: GCP, Terraform, Ansible, Linux, RedHat, Python, Ruby, Java, JavaScript, Go, Groovy, Scala, CI/CD, IAM, OAuth, VPC, XPN, NAT, SDN, Docker, Networking, Monitoring, Logging 🏢 Description: Unleash cloud innovation — shape the future of scalable, automated infrastructure! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP Cloud DevOps Engineer , you will be working for our client, a leader in the financial services industry, driving cloud transformation and building highly resilient, scalable GCP infrastructure. Your expertise will empower the company to deliver innovative applications and services with maximum performance and security. Your main responsibilities: Build and manage the GCP foundation platform to facilitate application deployments across the organization. Engineer solutions on GCP using Infrastructure as Code (e.g., Terraform) and integrate cloud services such as IAM, networking, logging, containers. Manage SDN in GCP, ensuring optimal network configuration including VPCs and XPN. Consume and support centrally provided hardened OS (Linux and Windows), ensuring security and compliance. Implement monitoring, logging, and security standards to meet operational risk policies. Support CI/CD pipelines and implement patches through automation tools. Develop operational documentation and assist in fault diagnosis and support for applications teams. Contribute to change management processes, impact assessments, and out-of-hours support on a rotational basis. You're ideal for this role if you have: 5+ years of experience with cloud service providers, especially GCP, in infrastructure build and configuration. Strong Linux administration and scripting skills, preferably with Red Hat. Experience working with CI/CD tools and automation scripting (Terraform, Ansible, etc.). Programming skills in Python, Ruby, Java, JavaScript, Go, Groovy, or Scala. Solid understanding of DevOps principles, Infrastructure as Code, and network configuration (VPC, XPN, subnets, NAT, routing). Knowledge of security and compliance tools such as IAM, OAuth, and cloud monitoring/auditing solutions. Excellent communication skills in English (fluent). It is a strong plus if you have: GCP Certifications (preferably professional level). Linux Certification or Windows Server Certification. Experience working within highly regulated industries like financial services. Language Required for the role: Fluent English – both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: 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 an AI DevOps Lead Engineer responsible for designing and managing cloud infrastructure on Azure and GCP with a strong focus on Infrastructure as Code and CI/CD automation. The role involves leading infrastructure initiatives, administering Kubernetes clusters, and implementing secure, scalable, and resilient cloud solutions. It is a long-term B2B contract with a hybrid work model in Cracow. 🗂️ Requirements: 4+ years experience in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX systems, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Infrastructure as Code with Terraform, Experience building and maintaining CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, UNIX, CI/CD, IaC 🏢 Description: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms.

🏢 Summary: Role for an experienced DevOps/SRE/Platform Engineer to build an AI-native, multi-cloud platform from scratch, with strong focus on Kubernetes, IaC and AIOps practices. The position involves designing cloud architecture, implementing GitOps-based CI/CD, and ensuring security and observability for high-availability systems. You will shape technology choices and operational standards in a modern, AI-driven environment. 🗂️ Requirements: Minimum 3 years commercial experience as DevOps/SRE/Platform Engineer, At least 2 years of production experience with Kubernetes, Hands-on experience in multi-cloud environments (AWS and GCP or Azure), Strong experience with Infrastructure as Code, Proficiency with CI/CD pipelines in GitLab, Very good knowledge of Linux (RHEL/Ubuntu), Proficiency in Bash or Python scripting, Experience with high-availability systems (HA/SLA), Experience working in Agile/Scrum, Polish C1 and English B2 minimum 📃 Skills: Kubernetes, AWS, GCP, Azure, Docker, Helm, Terraform, GitLabCI, Nginx, PostgreSQL, MSSQL, Linux, Bash, Python, Shell, ArgoCD, Prometheus, Grafana, Loki, Vault, OpenTelemetry, GitOps, CICD 🏢 Description: Dołączysz do nowo tworzonego zespołu, który od podstaw buduje system oparty o ideę AI-native. Tutaj sztuczna inteligencja nie jest tylko dodatkiem – to fundament architektury, procesów deweloperskich i operacyjnych. Jako jeden z pierwszych inżynierów w zespole, będziesz mieć realny wpływ na kształt platformy, wybór technologii oraz standardy pracy. Szukamy osoby z pasją do chmury, która chce wyznaczać trendy w erze AIOps. Profil stanowiska: Doświadczenie: Minimum 3 lata pracy komercyjnej jako DevOps/SRE/Platform Engineer, w tym co najmniej 2 lata z Kubernetes w środowisku produkcyjnym Ekspercka wiedza Cloud: Doświadczenie w pracy w środowisku multi-cloud (AWS oraz GCP lub Azure) Stack Techniczny: Biegłość w technologiach: Docker, Helm, Terraform/IaC, GitLab CI/CD, nginx, PostgreSQL oraz MS SQL Systemy i Skryptowanie: Bardzo dobra znajomość Linux (RHEL/Ubuntu) oraz biegłość w Bash/Python/Shell Scripting Metodyka: Doświadczenie w pracy w Agile/Scrum oraz utrzymywaniu systemów o wysokiej dostępności (HA/SLA) Wykształcenie: Preferowane wyższe techniczne (Informatyka i pokrewne) lub udokumentowane sukcesy zawodowe Języki: Język polski (min. C1) oraz angielski (min. B2) – swobodne czytanie dokumentacji i komunikacja techniczna to podstawa Mile widziane: Certyfikaty (CKA/CKAD, AWS Solutions Architect, HashiCorp Terraform) oraz znajomość narzędzi takich jak ArgoCD, Prometheus/Grafana czy OpenTelemetry Twoje zadania: Budowa platformy od zera: Projektowanie architektury multi-cloud i infrastruktury jako kodu (IaC) oraz zarządzanie produkcyjnymi klastrami Kubernetes AI-native Operations: Integracja narzędzi AI (np. Claude Code) w workflow zespołu, wdrażanie praktyk AIOps i budowa pipeline’ów wspierających deployment modeli AI. Automatyzacja CI/CD & GitOps: Tworzenie zaawansowanych pipeline’ów w GitLab CI oraz wdrażanie podejścia GitOps (ArgoCD) Bezpieczeństwo (DevSecOps): Wdrażanie zasady security-by-design, zarządzanie sekretami (Vault) i skanowanie podatności Observability: Implementacja pełnego stacka monitoringu (Prometheus, Grafana, Loki) oraz definiowanie standardów SLO/SLI Współpraca i Mentoring: Wspieranie deweloperów w konteneryzacji, udział w decyzjach architektonicznych i dzielenie się wiedzą Czym NIE będziesz się zajmować: Wsparciem L1/L2, utrzymywaniem starej infrastruktury on-premise ani pracą w izolacji od biznesu Dla Ciebie: Prywatna opieka medyczna w Allianz - dostęp do specjalistów i badań diagnostycznych dla Ciebie i Twoich najbliższych System kafeteryjny - możesz wybrać pełne dofinansowanie do karty Multisport czy przeznaczyć środki na kulturę, wypoczynek lub sport i zakupy Możliwość pracy w modelu hybrydowym po okresie wdrożenia (2 dni pracy zdalnej, 3 dni pracy z biura) Możliwość korzystania z zaawansowanych narzędzi AI i Google Workspace Współpraca z różnymi zespołami kompetencyjnymi, która pozwoli Ci na poznanie nowych technologii i poszerzenie wiedzy w obszarze IT Profesjonalny rozwój zawodowy, realny wpływ na podejmowane decyzje biznesowe Udogodnienia dla rowerzystów/ rowerzystek (rowerownie), a dla tych, co do pracy docierają samochodem – parking

🏢 Summary: Long-term B2B opportunity for an AI DevOps Lead Engineer to design and manage cloud infrastructure on Azure and GCP, focusing on IaC, CI/CD, and Kubernetes clusters. The role centers on building secure, scalable environments, automating processes, and enhancing monitoring and security frameworks. Hybrid work model with strong emphasis on cloud-native and DevOps best practices. 🗂️ Requirements: 4+ years in DevOps, SRE, or Cloud Engineering, Strong knowledge of Linux/UNIX, Production experience with GCP and/or Azure, Experience managing GKE and/or AKS clusters, Proficiency in Terraform for Infrastructure as Code, Experience building CI/CD pipelines with Jenkins, Scripting skills in Python and/or Bash 📃 Skills: GCP, Azure, GKE, AKS, Terraform, Jenkins, Python, Bash, Linux, Kubernetes, CI/CD, IaC 🏢 Description: Introduction & Summary: We are seeking an accomplished AI DevOps Lead Engineer with a strong foundation in cloud infrastructure management and DevOps practices. The ideal candidate will have over 4 years of experience in DevOps, SRE, or Cloud Engineering roles, with a proven record of designing and implementing robust cloud solutions, particularly on GCP and Azure platforms. Strong expertise in Infrastructure as Code (IaC) and CI/CD pipeline management is imperative, along with scripting capabilities in Python and Bash. What we offer: Long Term B2B Contract Rate: 200 PLN/ H +VAT Hybrid Cracow ( 1-2 times per week) Main Responsibilities: Design, build, and manage core infrastructure on Azure using IaC principles. Administer and enhance GKE and AKS clusters, ensuring security, scalability, and resilience. Evolve Jenkins pipelines and developer tooling for improved automation and efficiency. Implement security controls and automate vulnerabilities remediation. Develop a robust monitoring and alerting framework for operational visibility. Implement security gateways for improved governance. Key Requirements: 4+ years of experience in a DevOps, SRE, or Cloud Engineering role. Deep knowledge of Linux/UNIX operating systems. Production experience with GCP and/or Azure, including management of clusters (GKE, AKS). Strong proficiency with Infrastructure as Code using Terraform. Proven experience with CI/CD pipeline development using Jenkins. Scripting and automation skills in Python and/or Bash. Nice to Have: Experience with monitoring tools like Prometheus, Grafana, and Loki. Familiarity with container management using Docker. Knowledge of additional cloud services and platforms. Other Details: This position offers the opportunity to work in a dynamic environment that fosters innovation and collaboration. Candidates can work remotely or on-site, depending on personal preferences; flexibility in schedule is provided to facilitate a productive work-life balance.

🏢 Summary: The role focuses on building, automating, and optimizing cloud infrastructure and CI/CD processes in AWS or GCP environments. You will work hands-on with Kubernetes and modern DevOps tools to ensure scalable, secure, and reliable software delivery. The position involves close collaboration with engineering teams to enhance infrastructure and deployment practices. 🗂️ Requirements: Proven experience in Infrastructure Engineering, DevOps, SRE, or Backend Development, Strong expertise in Kubernetes (cluster management and application deployment), Strong knowledge of CI/CD principles, Practical experience with CI/CD tools, Willingness to work with GitHub Actions, Experience with cloud platforms (AWS or GCP) 📃 Skills: Kubernetes, Terraform, Helm, ArgoCD, AWS, GCP, GitHubActions, CICD 🏢 Description: Responsibilities: ● Work hands-on with modern tools such as Kubernetes, Terraform, Helm, and ArgoCD. ● Develop and continuously enhance internal cloud infrastructure across AWS or GCP ● Design, maintain, and optimize CI/CD pipelines using GitHub Actions to ensure reliable and efficient software delivery. ● Collaborate closely with engineering teams to understand their requirements, resolve issues, and drive automation and scalability initiatives. ● Advocate for and implement best practices in infrastructure, deployment processes, and cloud security across the organization. Requirements: ● Proven experience in infrastructure engineering, DevOps, Site Reliability Engineering (SRE), or backend development. ● In-depth expertise in Kubernetes—including both cluster management and application deployment. ● Strong understanding of CI/CD principles and practical experience with any CI/CD tools (willingness to work with GitHub Actions is essential). ● Proactive and ownership-driven mindset with strong problem-solving abilities. ● Excellent communication skills and a collaborative approach in cross-functional teams. Nice to Have: ● Experience managing OpenShift environments. ● Familiarity with Java and Gradle build systems. ● Awareness of security best practices in cloud-native and containerized environments. Working mode: ● One day per week in the office (Warsaw center) ● Additional 20 days of holidays per year

🏢 Summary: Lead AI Forward Deployment Engineer role focused on deploying, securing, and scaling AI solutions in enterprise environments using Google Cloud. The position bridges AI R&D and production by architecting Vertex AI pipelines, managing GKE clusters, and integrating AI into existing systems. It involves leading technical deployments and ensuring robust security for large-scale AI workloads. 🗂️ Requirements: 10+ years experience in Distributed Systems, Data Engineering, or DevOps, Expert-level knowledge of GCP and Vertex AI, Proven experience with GKE, Helm, and Istio, Strong Python experience with asynchronous and scalable backend development, Hands-on experience securing endpoints and AI systems, Experience designing end-to-end AI pipelines, Ability to manage GPU/TPU workloads, Legal work permit in Poland 📃 Skills: GCP, VertexAI, GKE, Kubernetes, Helm, Istio, Python, APIs, Microservices, DistributedSystems, DevOps, FeatureStore, Pipelines, ModelGarden, CloudArmor, ModelArmor, WAF, GPU, TPU, Networking, VPC 🏢 Description: Project info: We are seeking a skilled Lead AI Forward Deployment Engineer (GCP) to join our client's team. As a “Special Ops Engineer”, you will bridge the gap between our AI R&D and enterprise production. You will deploy, secure, and scale AI solutions within complex client environments using the Google Cloud ecosystem. Responsibilities: Production AI: Architect end-to-end pipelines on Vertex AI (Model Garden, Pipelines, and Feature Store). Security Hardening: Implement Model Armor for LLM safety (prompt injection/PII filtering) and Cloud Armor for edge-layer WAF protection. Orchestration: Design and manage high-scale Google Kubernetes Engine (GKE) clusters, optimizing for GPU/TPU workloads. Integration: Write production-grade Python microservices and APIs to embed AI into existing enterprise workflows. Client Leadership: Lead technical deployments on-site or in-client VPCs, navigating complex networking and legacy constraints. Job requirements: 10+ Years Engineering: Deep background in Distributed Systems, Data Engineering, or DevOps. GCP Mastery: Expert-level knowledge of Vertex AI and the broader GCP ecosystem. K8s Expert: Proven experience with GKE, Helm, and Service Mesh (Istio). Python Veteran: Master of asynchronous programming and scalable backend design. Security Expert: Hands-on experience securing endpoints and managing AI-specific vulnerabilities. Must possess a legal work permit in Poland Benefits: General benefits - depends on the form of employment Hybrid work model & remote work Attractively located office with collaboration spaces Onsite parking space for employees Referral program with financial bonus Life Insurance Budget for development (including language courses and others), clear career path with the possibility to gain experience in international environment Access to internal Learning Platform with multiple trainings oriented for professional growth Lifestyle benefits: Access to MyBenefit platform (Multisport included) Team Building activities Charity initiatives Working environment promoting diversity and inclusion Health benefits: Private medical care - Platinum Package

🏢 Summary: Cloud Infrastructure Engineer role focused on designing, automating, and operating scalable and secure cloud infrastructure across GCP and AWS using Infrastructure as Code. The position emphasizes Terraform-driven provisioning, cloud security, reliability patterns, and observability in large-scale environments. You will support platform and data teams by building resilient, well-governed cloud foundations. 🗂️ Requirements: 3–7+ years in Cloud Infrastructure, DevOps, Platform Engineering, or SRE, Strong hands-on experience with Terraform, Experience with Infrastructure as Code practices, Deep knowledge of GCP services (Pub/Sub, BigQuery, IAM, Networking), Experience managing complex Terraform state and large-scale environments, Strong understanding of cloud security and IAM, Experience with monitoring, alerting, and observability in cloud environments, Knowledge of distributed systems and scalability patterns, Polish language proficiency, English C1 proficiency 📃 Skills: Terraform, GCP, AWS, PubSub, BigQuery, IAM, Networking, Monitoring, Alerting, Logging, IaC, GitOps, CICD, Security, DistributedSystems 🏢 Description: Role Overview We are looking for a Cloud Infrastructure Engineer to design, build, and operate the cloud infrastructure that supports modern data and application platforms. This role focuses on infrastructure automation, cloud resource management, security, reliability, and operational excellence across large-scale cloud environments. You will play a key role in establishing scalable and resilient cloud foundations, managing Infrastructure as Code, and ensuring secure and efficient provisioning of cloud resources. The position combines hands-on engineering with platform-level thinking, helping development and data teams operate reliably at scale. Key Responsibilities Design, implement, and maintain cloud infrastructure using Infrastructure as Code (Terraform). Manage Terraform modules, state files, and state separation strategies for large-scale cloud environments. Provision, configure, and operate cloud resources across GCP and/or AWS environments. Manage core platform services, including messaging, data storage, identity management, and access controls. Build and maintain cloud-native services such as BigQuery datasets, Pub/Sub topics, IAM roles, and networking components. Implement resilience and reliability patterns, including retry mechanisms, circuit breakers, flow control, and automated recovery processes. Develop monitoring, alerting, logging, and observability solutions to ensure platform stability and operational excellence. Support automated deployment processes, schema versioning, and multi-version release strategies. Enforce cloud security best practices, including least-privilege access, audit logging, governance controls, and compliance requirements. Collaborate closely with platform, engineering, and data teams to improve infrastructure scalability, reliability, and developer productivity. Requirements 3–7+ years of experience in Cloud Infrastructure Engineering, Platform Engineering, DevOps, or Site Reliability Engineering. Strong hands-on experience with Terraform and Infrastructure as Code practices. Deep knowledge of cloud platforms, particularly Google Cloud Platform (GCP), with experience in services such as: Pub/Sub BigQuery IAM Networking Experience managing complex Terraform environments, including state management and large-scale resource provisioning. Strong understanding of cloud security principles, identity and access management, and governance frameworks. Experience implementing monitoring, alerting, and reliability solutions in cloud-native environments. Knowledge of distributed systems, scalability patterns, and operational best practices. Able to speak Polish and English C1 + Nice to Have Experience with AWS cloud services. Knowledge of event-driven architectures and messaging platforms. Experience supporting large-scale data platforms and streaming systems. Familiarity with CI/CD pipelines and GitOps practices. Experience in highly regulated or security-focused environments.