Senior DevOps / Platform Engineer

🏢 Summary: Senior AI-native Product Manager role owning end-to-end product outcomes within a venture, from fuzzy problem to validated, shipped solution. The position focuses on rapid AI-powered prototyping, agentic workflow automation, and continuous user discovery to accelerate delivery from idea to production. You will collaborate cross-functionally and push features live, iterating based on real metrics in a fast-paced environment. 🗂️ Requirements: 5–8 years product management experience, Proven record of shipping products to real users, Hands-on AI prototyping without engineer dependency, Deep practical experience with Claude beyond basic chat, Ability to build working prototypes independently, Experience running user discovery and validation, Experience automating workflows using AI agents, Strong written and verbal English, Ability to push features to production and iterate on metrics 📃 Skills: Claude, Cursor, v0, Figma, Replit, Lovable, AI, MCP, UX, Prototyping, Automation, Agentic, Evals, Workflows 🏢 Description: About the role Rimthan is a corporate venture builder operating across Saudi Arabia and the GCC. We launch ventures with regional partners and act as the product, design, and engineering muscle behind them. We are looking for a Senior PM who is genuinely AI-native, an expert prototyper, and obsessed with execution. You will own product surface area on one of our ventures, working hand in hand with venture building, engineering, design, and UX research, and you will use AI to compress the distance between idea and working software to days, not weeks. This is a role for someone comfortable being uncomfortable. The pace is fast, the environment is hands-on, and we expect you to get shit done. Reports to our Chief Product and Design Officer, Marcus Wiberg. What you will do Own outcomes. Take a problem from fuzzy ask to validated, shipped solution. You define the bet, the success criteria, and what would make us kill it. Prototype, fast. Stand up working prototypes in hours using Claude, Cursor, v0, Figma Make, Lovable, Replit, and whatever comes next. Bring something testable to every conversation. Spend your time on the right things. Use agentic workflows to automate the work that does not need you (PRD drafts, ticket grooming, competitive scans, support analysis) so you can spend most of your time on discovery and stakeholder alignment. Run discovery with UX research. Talk to users weekly, run assumption tests, keep the team honest about what is validated and what is still a guess. Communicate and align. Drive clarity across venture building, engineering, design, research, leadership, and partners. Strong written and verbal communication is non-negotiable. Ship. Push features to production and iterate on the metrics. Who you are 5 to 8 years in product management , with a track record of shipping products real users use. Expert at vibe coding. You can put a working prototype in front of a user without waiting for an engineer. Deep, hands-on user of Claude. You have pushed the tool well past chat: chained tools, MCP integrations, custom agents, evals, or workflows that do real work for you and your team. Strong communicator. You make complex things clear, fast, in writing and in the room. Strong collaborator across disciplines. You partner naturally with venture builders, engineers, designers, and researchers, and you know how to get the best out of each. Entrepreneurial and creative under constraint. You take ownership without being asked, you finish things, and you find the path others miss when time or scope is tight. Hands-on by default. You execute, you get shit done, and you thrive in fast-paced ambiguity. Excellent written and verbal English. Big pluses Previous experience working in the GCC. You understand the regional market dynamics, cultural nuances, and business landscape in Saudi Arabia and the wider Gulf. Arabic. Useful given where we operate, optional otherwise. Founder or entrepreneur background. You have started something of your own, run it, and lived with the consequences. You know what it feels like to own a problem end to end. Software house, consultancy, or agency experience. You already know how to context-switch across clients, ship under fixed timelines, and deliver work that holds up to outside scrutiny. Engineering background. Not required, but a massive advantage. If you can pair with engineers as a peer on technical decisions, we want to hear from you. What we offer Real ownership of a product line inside a venture being built and scaled in real time. A team that already operates as AI-native. No fight to use Claude, Cursor, or new tools as they emerge. Direct access to executives at Rimthan and our partner organisations. Decisions happen fast. Competitive compensation and a high-trust, low-bureaucracy environment. 20 days of paid time off, including some recognised public holidays. Travel may occasionally be required. It is rare, and we cover flights and accommodation when it happens.

🏢 Summary: Senior Product Designer role owning the end-to-end design of a venture product, leveraging AI-native workflows to rapidly prototype and ship high-quality experiences. The position focuses on hands-on execution, building scalable design systems, and delivering production-ready solutions in close collaboration with product, engineering, and research. Emphasis is on fast prototyping, agentic automation, and pushing designs to live environments. 🗂️ Requirements: 5–8 years product design experience with shipped digital products, Advanced visual and interaction design expertise, Ability to build coded, working prototypes independently, Deep hands-on experience with Claude beyond basic chat usage, Senior-level proficiency in Figma and AI-powered design tools, Experience building and maintaining scalable design systems, Ability to push designs to production with engineering teams, Strong written and verbal English communication 📃 Skills: Figma, Claude, Cursor, v0, Lovable, Replit, AI, Prototyping, DesignSystems, UX, UI, RTL 🏢 Description: About the role Rimthan is a corporate venture builder operating across Saudi Arabia and the GCC. We launch ventures with regional partners and act as the product, design, and engineering muscle behind them. We are looking for a Senior Product Designer who is genuinely AI-native, an expert prototyper, and obsessed with execution. You will own the design surface of one of our ventures, working hand in hand with venture building, product management, engineering, and UX research, and you will use AI to compress the distance between idea and working software to days, not weeks. This is a role for someone comfortable being uncomfortable. The pace is fast, the environment is hands-on, and we expect you to get shit done. Reports to our Chief Product and Design Officer, Marcus Wiberg. What you will do Own the craft. Take a problem from fuzzy ask to shipped, polished experience. You define the visual and interaction direction, the bar for quality, and what good looks like end to end. Prototype, fast. Stand up working, interactive prototypes in hours using Figma, Figma Make, Claude, Cursor, v0, Lovable, Replit, and whatever comes next. Bring something testable to every conversation, not static screens. Design systems and patterns. Build and evolve the design language for your venture. Make it scalable, opinionated, and consistent, without slowing the team down. Spend your time on the right things. Use agentic workflows to automate the work that does not need you (asset production, redlines, design QA, component variants, copy iterations) so you can spend most of your time on the hard creative and product problems. Partner on discovery. Work with UX research and product to talk to users weekly, validate flows, and keep the team honest about what is working and what is not. Communicate and align. Drive clarity across venture building, engineering, product, research, leadership, and partners. Strong written and verbal communication is non-negotiable. Ship. Push designs to production with engineering, hold the quality bar through release, and iterate on what users actually do. Who you are 5 to 8 years in product design, with a track record of shipping products real users use. Strong visual and interaction craft. Your work holds up next to the best in the industry, and you can explain why every decision is the way it is. Expert at vibe coding. You can put a working, coded prototype in front of a user without waiting for an engineer. Deep, hands-on user of Claude. You have pushed the tool well past chat: chained tools, MCP integrations, custom agents, evals, or workflows that do real work for you and your team. Fluent in modern design tools. Figma to a senior level, Figma Make, and AI-powered design and prototyping tools as part of your daily flow. Strong communicator. You make complex things clear, fast, in writing and in the room. Strong collaborator across disciplines. You partner naturally with venture builders, product managers, engineers, and researchers, and you know how to get the best out of each. Entrepreneurial and creative under constraint. You take ownership without being asked, you finish things, and you find the path others miss when time or scope is tight. Hands-on by default. You execute, you get shit done, and you thrive in fast-paced ambiguity. Excellent written and verbal English. Big pluses Previous experience working in the GCC. You understand the regional market dynamics, cultural nuances, and business landscape in Saudi Arabia and the wider Gulf. Arabic. Useful given where we operate, optional otherwise. Bonus if you have shipped RTL interfaces and understand the typographic and layout considerations that come with it. Founder or entrepreneur background. You have started something of your own, run it, and lived with the consequences. You know what it feels like to own a problem end to end. Software house, consultancy, or agency experience. You already know how to context-switch across clients, ship under fixed timelines, and deliver work that holds up to outside scrutiny. Engineering or product background. Not required, but a massive advantage. If you can pair with engineers as a peer on technical decisions, or step into PM-shaped problems when needed, we want to hear from you. What we offer Real ownership of a product line inside a venture being built and scaled in real time. A team that already operates as AI-native. No fight to use Claude, Cursor, or new tools as they emerge. Direct access to executives at Rimthan and our partner organisations. Decisions happen fast. Competitive compensation and a high-trust, low-bureaucracy environment. 20 days of paid time off, including some recognised public holidays. Travel may occasionally be required. It is rare, and we cover flights and accommodation when it happens.

🏢 Summary: Senior Full-Stack Developer role focused on building and scaling modern web applications for multiple digital ventures using React and Node.js. The position involves end-to-end development, designing scalable solutions, and leveraging AI-assisted coding tools in a remote, international environment. The role emphasizes delivering production-ready applications with modern full-stack best practices. 🗂️ Requirements: 7+ years of experience building production web applications, Strong experience with React.js, Strong experience with Node.js, Solid knowledge of HTML, Solid knowledge of CSS, Solid knowledge of JavaScript, Experience with RESTful APIs, Experience with database design, Experience with Git, Experience with AI-assisted coding tools (e.g., Cursor, Windsurf), Professional proficiency in English 📃 Skills: React, Node.js, JavaScript, HTML, CSS, REST, Git, Cursor, Windsurf, Claude, Python, APIs, Databases 🏢 Description: Rimthan is a Riyadh-based corporate venture builder driving Saudi Arabia’s digital transformation in line with Vision 2030. We launch and scale innovative digital ventures across the Middle East. Our Polish delivery hub is a key part of this journey - a dedicated engineering powerhouse combining European technical excellence with startup agility and enterprise-grade standards. Together, we build impactful products that reach real users, fast. If you’re a Senior Full-Stack Developer who enjoys building modern web applications and working with the latest technologies across multiple projects, we’d love you to join our team and contribute to Saudi Arabia’s digital transformation using cutting-edge tools and methodologies. What you ’ ll do as a Senior Full-stack Developer Develop innovative web applications using React, Node.js, and other modern technologies. Code smarter and ship faster with AI-assisted tools like Claude Code, Cursor/Windsurf, and any ingenious solutions you bring. Design and implement scalable, robust solutions for digital ventures. Participate in the full development lifecycle - from concept to deployment. Collaborate remotely with frontend developers, designers, PMs, and engineers across Poland and Saudi Arabia on multiple ventures simultaneously. Contribute to code reviews and technical discussions . Stay at the forefront of emerging technologies, tools, and best practices in modern full-stack development . You might be a good fit if you Have 7+ years of professional experience building production web applications with React.js and Node.js . Have a solid understanding of web development fundamentals (HTML, CSS, JavaScript). Have experience with AI-assisted coding methods (e.g., Vibe Coding ) and are familiar with AI-powered code editors such as Cursor or Windsurf . Are experienced with RESTful APIs and database design, and comfortable using Git. Are language-agnostic and eager to learn new technologies. Have basic Python knowledge (nice to have). Communicate confidently in English ; Polish is a bonus, as many teammates are based in Poland. Have a problem-solving mindset and s trong attention to detail . Demonstrate excellent communication skills. Are able to work independently as well as in a team environment. Are adaptable and open to learning new technologies. Have a passion for innovation and a commitment to continuous learning. Why You'll Love Working with Us AI at the Core - We’re not just using AI; we’re building AI tools that make developers 10× more productive - and you’ll be a key contributor. AI Tools Included - Claude Code on the highest plan, available for both work and personal use. Remote-First Freedom - Work full-time remotely from anywhere in Europe, with flexible hours and a culture focused on outcomes, not clock-watching. Startup Energy + Venture-Studio Stability - Tackle new ideas every quarter with the backing of an established venture builder. Competitive B2B Compensation - depending on experience, plus a dedicated learning budget. Paid Time Off - 20 days of paid vacation per year for rest and recharging. Continuous Growth - Access conferences, AI workshops, and internal hackathons to keep your skills razor-sharp. Friendly, Multicultural Team - Collaborate daily with passionate engineers and product folks who love clean code, good memes, and sharing knowledge. Ready to build the next generation of digital ventures with us? Apply now and let’s shape the future together.

🏢 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 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: Senior Full-Stack Software Engineer role focused on building large-scale, cloud-based data processing solutions on AWS with a strong emphasis on serverless architectures. The position involves developing and maintaining web applications, APIs, and microservices while optimizing and modernizing existing cloud infrastructure. The engineer will collaborate across international teams to deliver scalable scientific and data-driven solutions. 🗂️ Requirements: Minimum 5 years of enterprise software development experience, Expert knowledge of Java with Spring and Hibernate or JPA, Strong understanding of microservices architecture and patterns, Expert knowledge of JavaScript and TypeScript, Experience with Angular or React and HTML5, Experience building REST APIs, Knowledge of SQL, NoSQL and graph databases, Strong AWS knowledge including core services, Hands-on experience with Docker, Experience with Git and GitOps workflows, Ability to deploy code to production environments, Experience working with Scrum methodology, Fluent English 📃 Skills: Java, Spring, Hibernate, JPA, JavaScript, TypeScript, Angular, React, HTML5, Git, GitOps, REST, SQL, NoSQL, AWS, S3, IAM, EC2, ECR, ECS, Lambda, Serverless, Docker, RabbitMQ, OAuth2, Scrum, Oracle, MySQL, MongoDB, Spock, CI 🏢 Description: We are a provider of digital transformation and technology consulting services with a portfolio of solutions for both clients who do not yet have Salesforce and large organizations that work on Salesforce and use its extensive capabilities ☁. We also provide body and team leasing services in IT, providing specialists in various fields. Model : remote Employment type: full-time Background & Project: A team specializing in Data Engineering and bioinformatics systems development is seeking experienced and motivated Senior Full-Stack Software Engineer with hands-on AWS experience . This role involves developing large-scale cloud-based data processing solutions, primarily using AWS. We are looking for self-motivated and proactive engineer to contribute to the development of highly scalable computing solutions built on AWS services, with a strong focus on serverless architectures. The position involves leveraging AWS services and improving existing infrastructure to optimize, modernize, and future-proof current solutions. The engineering team operates across multiple time zones, including Pacific Time (PT), Eastern Time (ET), and Central European Time (CET). Virtual meetings and collaboration via Slack may take place during the core working hours of the San Francisco (PT) time zone. During the first six months of onboarding, increased collaboration and some overlap with the PT time zone will be expected. Responsibilities: Work together in a collaborative and practical manner to address scientific softwareengineering challenges. Engage with both local and offshore engineering teams to assist in software development endeavors Leverage existing GenAI and RAG solutions and services developed by other teams tointegrate data and existing capabilities into internal chatbots to enhance usability anddata discovery Rapid prototyping and iterations to foster innovation and enable the company to exploresolutions in a shorter time-frame. Design, build and maintain the web application providing visibility to our data management platform Collaboratively and pragmatically solve scientific software engineering challenges. Collaborate with local – Polish, the US and Canada engineering teams to support software development efforts. Contribute to the broader scientific community through open-source software development. Requirements: Minimum 5 years of work experience related to software development in enterprise projects/products and expert knowledge regarding one of the following backend technologies: JAVA (very good knowledge of frameworks like Spring, Hibernate / JPA, knowledge of other JVM based programming languages is a plus); Understanding of microservice architectures, principles and patterns Expert knowledge of Javascript and TypeScript programming ( Angular 5+ or React,with good knowledge of HTML5. Experience building reusable web components. Knowledge of git and standard GitOps workflow (MRs, protected branch), conventional commits, semantic versioning, pre-commit hooks, Experience building APIs, good understanding of REST principles Knowledge of database techniques like SQL, NoSQL and graph databases Fluent in the usage of cloud computing models (IaaS, PaaS, SaaS) and good knowledge of containers connected with this DevOps mindset and excellent knowledge of cloudplatforms like AWS. Ability to deploy yourself code to production Docker (must have) AWS cloud (including S3, IAM, EC2, ECR, ECS, AWS Lambda, Serverless) Experienced in product development with Scrum methodologies Experienced in designing software components based on limited and evolving requirements Attention to details, focus on user/developer experience Ability to coordinate work and direct collaboration with the customer Fluent in English General knowledge RabbitMQ (or other similar message broker) Good communication skills, team player, work under tight deadlines. Nice to have: Good understanding of HTTP protocol (status code, headers, etc…) Basic knowledge of OAuth 2.0 Building distributed systems Automated testing – unit, int, e2e, performance, regression Spock (Groove DSL) CI pipelines Oracle/MySQL/Mongo We offer: Remote work model B2B contract Benefits package, Daily support from team leaders, Dedicated certification budget, Integration trips/events.

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.

🏢 Summary: Principal Platform Engineer to architect and lead the infrastructure strategy for a production-grade ML platform on Google Cloud. The role focuses on building and automating scalable, secure, and resilient infrastructure for high-performance machine learning workloads. You will design cloud-native systems, CI/CD pipelines, and observability solutions to ensure reliable model deployment and operations. 🗂️ Requirements: 8–10+ years in DevOps or Platform Engineering, Minimum 2 years operating production ML workloads, Deep hands-on experience with GCP and GKE, Strong expertise in Kubernetes cluster architecture and operations, Proficiency with Istio service mesh and API gateways, Expert-level Terraform with Atlantis/GitOps workflow, Experience building ML CI/CD pipelines, Experience operating Airflow in production, Experience with ML serving platforms, Experience managing Cloud SQL (PostgreSQL) and BigQuery, Experience with in-cluster datastores, Experience managing enterprise identity and secrets systems 📃 Skills: GCP, GKE, Kubernetes, Istio, Kong, Terraform, Atlantis, GitOps, Helm, Kustomize, ArgoCD, Airflow, Jenkins, GitHub, MLflow, Triton, vLLM, PostgreSQL, BigQuery, Elasticsearch, ClickHouse, Auth0, Dex, ESO, SOPS, IAM, VPC-SC 🏢 Description: Principal Platform Engineer Poland, Remote or Ukraine, Remote or Romania, Remote Point Wild helps customers monitor, manage, and protect against the risks associated with their identities and personal information in a digital world. Backed by WndrCo, Warburg Pincus and General Catalyst, Point Wild is dedicated to creating the world’s most comprehensive portfolio of industry-leading cybersecurity solutions. Our vision is to become THE go-to resource for every cyber protection need individuals may face - today and in the future. Join us for the ride! We’re looking for a Principal Platform Engineer to architect and lead the infrastructure strategy for our next-generation Production ML platform on Google Cloud. In this role, you will be the backbone of our high-performance machine learning workloads, ensuring our systems are elastic, secure, and resilient. You won’t just maintain the status quo; you’ll build the "paved road" for our engineers, automating everything from model deployment to complex networking perimeters. We are a high-trust, outcome-focused team that moves quickly to solve some of the most challenging problems in the ML space. Core Responsibilities: Infrastructure Management: Design, deploy, and maintain elastic scaling cloud infrastructure (GCP) and containerization tools like Kubernetes for high-performance ML workloads. CI/CD Pipeline Development and maintenance: Build automated pipelines for training, testing, and deploying machine learning models using tools like Jenkins, GitHub Actions, or Airflow. Model Monitoring & Maintenance: Implement observability tools to track model drift, accuracy, latency, and performance degradation in production. Collaboration: Bridge the gap between data engineers, ML engineers, Backend and Frontend engineers to ensure smooth production operation. ML Observability: Implement comprehensive monitoring for system health (latency/uptime) alongside ML-specific metrics, such as feature drift, prediction accuracy, and data distribution shifts, to ensure long-term model reliability. Non ML workload and production metrics monitoring. Deploy tools that empower individual teams to monitor their workloads. Participate in on-call rotation, help manage posture to ensure compliance with standards such as SOC. What you bring to the table: Senior Expertise: 8 - 10+ years in DevOps/Platform Engineering, with at least 2 years of experience specifically operating and maintaining production ML workloads . GCP & K8s Mastery: Deep, hands-on experience with GCP (VPC-SC, IAM, Organization Policies) and GKE (Cluster topology, Helm, Kustomize, and in-cluster operators like ArgoCD). Service Mesh Excellence: High proficiency with Istio (VirtualServices, mTLS, sidecar injection) and API Gateways (specifically Kong ). Infrastructure as Code: Expert-level Terraform skills, specifically using an Atlantis/GitOps workflow across a massive, multi-hundred-file estate. Secrets & Identity: Experience managing enterprise-grade identity and secrets (Auth0, Dex, ESO, or SOPS). Data/ML Tooling: Experience operating Airflow in production and an ML-serving stack (e.g., Triton, vLLM, MLflow ). Database Management: Comfortable managing Cloud SQL (PostgreSQL), BigQuery, and in-cluster datastores like Elasticsearch or ClickHouse. At least an upper-intermediate level of spoken and written English. It would be great if you also had: ML Observability: Past experience with continuous monitoring of model accuracy and detecting data/concept drift. Automation Savvy: Experience with Ansible for cluster bootstrap and recovery. Advanced Certifications: Kubernetes (CKA/CKS) or GCP Professional Cloud Architect/Security Engineer certifications. Modern Stack Exposure: Familiarity with Loki, Grafana , or managing ClickHouse at scale. Why Join Us? Professional Growth: Enhance your skills by collaborating closely with talented engineers and architects. Meaningful Impact: Help create software that protects millions of users from cybersecurity threats. Supportive Environment: Join a team dedicated to innovation, mentorship, and continuous learning.

🏢 Summary: On-site role in Wroclaw for a Kubernetes & Cloud Infrastructure Engineer focused on building and operating scalable, secure AI platform infrastructure. The position centers on managing Kubernetes clusters, AWS environments, and infrastructure as code to support GPU workloads and large language model deployments. You will enhance reliability, automation, and observability of cloud-native AI systems. 🗂️ Requirements: 4+ years in Cloud, DevOps, or Platform Engineering, Strong expertise in Kubernetes cluster operations and multi-tenancy, Experience with GPU scheduling and model serving infrastructure, Hands-on experience with AWS (networking, IAM, EKS, EC2), Proficiency in Python, Experience with Terraform and infrastructure as code, Ability to build and operate CI/CD pipelines, Experience implementing GitOps workflows, Experience defining and managing infrastructure SLOs, Fluent English, Legal right to work in the EU 📃 Skills: Kubernetes, AWS, EKS, EC2, IAM, Terraform, Helm, Kustomize, Python, CI/CD, GitOps, GPU, Docker, Linux, Networking, Observability 🏢 Description: Unleash the power of cloud-native infrastructure — revolutionize AI platforms with your expertise! Wroclaw-based opportunity with on-site work model As a Kubernetes & Cloud Infrastructure Engineer – AI Platform , you will be working for our client, a leader in AI innovation, building and managing critical infrastructure that supports advanced AI models and large language model workloads. Your work will directly impact the delivery, scalability, and security of cutting-edge AI solutions, empowering teams across the firm to harness AI's full potential. Join us and be part of shaping the future of intelligent technologies! Your main responsibilities: Build and operate scalable Kubernetes clusters supporting multi-tenancy, GPU workloads, and model serving. Manage AWS infrastructure, including networking, IAM, security, and cost optimization. Develop and maintain infrastructure as code utilizing tools like Terraform, Helm, and Kustomize. Implement and maintain CI/CD and GitOps workflows to streamline deployment pipelines. Build observability solutions for system health, utilization, latency, and platform performance monitoring. Automate scaling, capacity management, and enforce security and governance policies across cloud and on-premise environments. Define and monitor infrastructure Service Level Objectives (SLOs) to ensure reliability and performance. Collaborate closely with AI Platform Engineers, Data Scientists, and Research teams to support model inference and deployment infrastructure. Enable internal teams through platform tooling, onboarding, and self-service portals. You're ideal for this role if you have: 4+ years of experience in Cloud, DevOps, or Platform Engineering. Strong expertise in Kubernetes, including cluster operations, multi-tenancy, GPU scheduling, and Helm/Kustomize. Hands-on experience with AWS cloud services—networking, IAM, EKS, EC2, and cost management. Proficient in Python and infrastructure-as-code tools such as Terraform. Proven ability to build and operate CI/CD and GitOps workflows. Skilled in defining and managing infrastructure SLOs. Pragmatic, ownership-driven approach and comfortable working in ambiguous environments. It is a strong plus if you have: Experience supporting LLM inference workloads, model serving platforms, or GPU-backed infrastructure. Knowledge of RAG systems, vector databases, or AI-related data platforms. Background in high-performance or latency-sensitive environments. Relevant certifications such as CKA, CKAD, Solutions Architect, or similar. Language Required for the role: Fluent English Eligibility to work in this 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 role focuses on building and evolving core platform services to support engineering teams, emphasizing scalable cloud-native solutions, developer experience, and automation. It involves designing shared services, advancing CI/CD and Infrastructure as Code practices, and integrating AI-powered tools and LLM-based solutions. The position also promotes DevOps and SRE standards to ensure reliability and operational excellence in production environments. 🗂️ Requirements: 8+ years of experience delivering production-grade software solutions, Strong proficiency in Python, Experience with Kubernetes and containerized environments, Experience with distributed systems, Knowledge of REST and gRPC service development, Experience with cloud-native architectures, Hands-on experience with Infrastructure as Code tools, Familiarity with AI tooling and LLM-based applications, Ability to support production systems and incident response 📃 Skills: Python, Kubernetes, Docker, REST, gRPC, Terraform, CI/CD, LLM, AI, DevOps, SRE, Cloud, Automation 🏢 Description: We are looking for a Senior Platform Engineer to help build and evolve the core technology platforms that support our engineering organization. This role focuses on developing scalable software solutions, improving developer experience, and driving cloud-native engineering practices across the business. Working closely with engineering, cloud, and operations teams, you will contribute to platform architecture, automation initiatives, and the adoption of modern development and reliability practices. Key Responsibilities • Design and maintain shared platform services and engineering tools used across multiple teams. • Develop and enhance internal platforms, including authentication, developer tooling, and infrastructure services. • Build AI-powered solutions leveraging LLMs, intelligent agents, and automation technologies. • Contribute to engineering standards, architectural guidelines, and reusable frameworks. • Improve software delivery through CI/CD, automation, and Infrastructure as Code. • Promote DevOps and SRE practices, including observability, monitoring, and operational excellence. • Support production systems through incident response and reliability improvements. Required Qualifications • 8+ years of experience delivering software solutions in production environments. • Strong programming skills in Python; experience in other languages like Java, C#, C++, Go or others, nice to have • Experience with Kubernetes, containers, and distributed systems. • Knowledge of REST and gRPC service development. • Experience with solution architecture and cloud-native technologies. • Familiarity with AI tooling, agent-based frameworks, and LLM-powered applications. • Hands-on experience with Infrastructure as Code tools such as Terraform. • Strong communication and technical documentation skills.