Senior DevOps / Platform Engineer

🏢 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 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: Site Reliability Engineer role focused on leading the cloud platform layer of a large-scale enterprise migration to GCP, with full ownership of observability and FinOps capabilities. The position involves architecting cost attribution, distributed tracing, monitoring, and performance engineering solutions in a production-grade Kubernetes environment. You will work on complex distributed systems, extending multi-language codebases and managing infrastructure as code in a regulated enterprise setting. 🗂️ Requirements: 4–6 years software or DevOps engineering experience, 2–3 years hands-on cloud infrastructure management in production, Strong GCP expertise including GKE and Cloud Run, Proven experience building observability solutions with OpenTelemetry, Experience with distributed tracing and profiling in distributed systems, Advanced Python scripting for automation and tooling, Strong Terraform proficiency with multi-environment setups, Ability to read and modify Kotlin and Java codebases, Experience implementing monitoring, alerting, and SLOs for containerized/serverless services, Experience with infrastructure cost attribution and cloud billing APIs 📃 Skills: GCP, GKE, CloudRun, Kubernetes, OpenTelemetry, Terraform, Python, Kotlin, Java, FinOps, PubSub, Bigtable, Docker, SLO, Tracing 🏢 Description: We are looking for a Site Reliability Engineer to join a high-stakes global tech ecosystem and drive the delivery of a critical enterprise platform migration to the cloud. Your core mission will be to architect, build, and productionalize the observability and cost intelligence (FinOps) layer for a massive, multi-year financial platform transformation. You will take end-to-end ownership of the cloud platform layer, giving internal stakeholders full visibility into platform behavior, performance, and infrastructure spend. Working alongside a nearshore team of senior engineers, you will solve highly complex architectural challenges in a production-grade, distributed system. Responsibilities: End-to-End Infrastructure & FinOps Ownership: Architect and implement a cloud usage and cost attribution dashboard, providing detailed per-pod and per-service cost breakdown using cloud billing APIs and internal FinOps hubs. Advanced Observability & Tracing: Instrument end-to-end distributed tracing using OpenTelemetry, configuring collectors within Kubernetes environments and exporting traces to cloud monitoring systems utilizing RED metrics. Performance Engineering & Stress Testing: Write custom tooling from scratch to deliver database performance monitoring, load testing, and trend analysis for critical underlying storage layers. Monitoring & Alerting Automation: Build and deploy scalable production monitoring, custom alerting policies, and SLO tracking for containerized and serverless services. Infrastructure as Code: Independently manage, write, and apply infrastructure modifications using Terraform, working within established enterprise repository standards, modules, and environment state management. Cross-Language Codebase Extension: Read, debug, and extend existing platform code across a diverse stack including Kotlin, Java, and Python to seamlessly integrate technical metrics without disrupting business logic. Quality & Release Assurance: Implement rigorous unit testing with high code coverage for all newly developed monitoring tools to comply with strict enterprise quality gates and sign-offs. Min requirements: Experience: 4 to 6 years of professional software or DevOps engineering experience, with at least 2 to 3 years of hands-on cloud infrastructure management in production. Advanced Cloud Infrastructure: Deep operational proficiency with Google Cloud Platform (GCP), specifically with managing and configuring workload-level alerting on Google Kubernetes Engine (GKE) and Cloud Run. Observability & OpenTelemetry: Proven track record of building observability solutions in distributed systems, using OpenTelemetry (both auto and manual instrumentation) alongside distributed tracing and profiling tools. Strong Automation Scripting: Intermediate-to-advanced fluency in Python for writing custom test tooling, metrics integration scripts, and backend automation from scratch. Solid Infrastructure as Code: Strong proficiency in Terraform, including experience with multi-environment setups, workspaces, and corporate module standards. Polyglot & JVM Familiarity: Practical ability to read, understand, and modify existing backend codebases written in Kotlin and Java. Crucial Non-Technical Skills: Extreme technical autonomy to resolve blockers independently, rapid onboarding skills into large unfamiliar codebases, and fluent written English for async alignment and pull requests. Process Alignment: Ability to thrive in a highly regulated enterprise environment with strict peer reviews, robust documentation requirements, and formal deployment procedures. Would be a plus: Domain Knowledge: Previous experience working within financial services, fintech, investment banking, or other highly regulated industries. Enterprise Streaming Tools: Working knowledge of cloud messaging systems (such as Cloud Pub/Sub) utilized for inter-service communication. Advanced Storage Engines: Familiarity with high-throughput distributed database architectures, such as Google Cloud Bigtable. Systems Languages Awareness: Ability to read or debug foundational code written in low-level systems languages like Rust or C++ during multi-stack production deployments. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Platform Engineer / DevOps role focused on building and standardizing multi-cloud Kubernetes environments using Infrastructure-as-Code. The position centers on Terraform-driven provisioning across AWS, Azure, and GCP, GitOps-based deployment automation, and enterprise-grade security and identity integration. The engineer supports internal and client environments, ensuring portable, secure, and reliable cloud-native deployments. 🗂️ Requirements: Strong Terraform experience across AWS Azure and GCP, Hands-on experience with EKS AKS and GKE, Practical knowledge of Kubernetes networking node pools workload identity private clusters ingress storage classes cluster upgrades, Experience with GitOps workflows and Helm release management, Experience with GitHub Actions and OIDC authentication, Experience with Terraform remote state management, Ability to deploy into secure enterprise environments with strict security audit and change-control requirements, Experience debugging Kubernetes CRDs RBAC networking DNS ingress and identity issues, Fluent English, EU residency and valid EU work authorization 📃 Skills: Terraform, Kubernetes, AWS, Azure, GCP, EKS, AKS, GKE, Helm, GitOps, GitHubActions, OIDC, OCI, AzureOpenAI, ACR, KeyVault, Postgres, Databricks, OpenTelemetry, RBAC, DNS, Ingress 🏢 Description: Join Our Team as a Platform Engineer / DevOps - Multi-Cloud IaC Are you a hands-on Infrastructure-as-Code expert who can provision real Kubernetes environments across AWS, Azure, and GCP, while keeping security, auditability, portability, and operational reliability in mind? PortBlueSky is supporting a major multinational enterprise in scaling a widely adopted open-source, Kubernetes-native agentic AI platform. We are looking for a Platform Engineer / DevOps specialist to provision internal environments and support multi-cloud client deployments, with a strong focus on Terraform, Kubernetes, GitOps, and cloud-native identity. This role is ideal for someone who can move between cloud infrastructure, CI/CD, Kubernetes debugging, deployment automation, and client advisory work. Role and Responsibilities As Platform Engineer / DevOps, you will: Provision internal and client environments: Build and maintain repeatable Kubernetes deployment environments across AWS, Azure, and GCP. Own multi-cloud IaC patterns: Use Terraform to define secure, maintainable, portable infrastructure for EKS, AKS, GKE, networking, storage, identity, and deployment dependencies. Build Azure parity: Help establish strong Azure deployment patterns, including AKS, Azure managed identity, Azure OpenAI, Azure networking, Azure Container Registry, Key Vault, Terraform, and GitHub Actions. Support enterprise deployment requirements: Work within client infrastructure constraints, including strict security, audit, change-control, network, registry, and identity requirements. Standardize deployment automation: Improve GitOps workflows, Helm release management, OCI chart/image handling, GitHub Actions/OIDC, Terraform remote state, environment promotion, and cluster bootstrap automation. Integrate with client stacks: Support deployment patterns for Databricks, S3-compatible storage, managed Postgres, OTEL, model gateways, private registries, and cloud-native secret systems. Debug practical failures: Resolve issues around CRDs not being established, unavailable APIService resources, webhook certificates, image pulls, RBAC denials, network policies, DNS, ingress, and cloud identity. Support forward-deployed engineering: Help client teams that lack internal Kubernetes, DevOps, or cloud-platform maturity adopt robust deployment patterns. What We Offer A technically challenging platform mission: Work on a real open-source platform being scaled for enterprise adoption across cloud providers and client-owned environments. A senior, developer-led culture: PortBlueSky publicly positions itself around top 1% technical experts, senior engineering talent, and challenging projects for leading corporations. Remote-first flexibility: Work in a remote-first setup with flexible conditions and a strong work-life balance. High ownership: Shape how environments are provisioned, promoted, secured, upgraded, and supported. Practical impact: Your work will directly affect whether the platform can be adopted by enterprise teams with confidence. About You You are an experienced Platform Engineer, DevOps Engineer, or Cloud Infrastructure Engineer with: Strong Terraform experience across AWS, Azure, and GCP. Hands-on experience with EKS, AKS, and GKE. Practical knowledge of Kubernetes networking, node pools, workload identity, private clusters, managed ingress, storage classes, and cluster upgrade workflows. Experience with GitOps, Helm release management, OCI charts/images, GitHub Actions/OIDC, Terraform remote state, and environment promotion. Experience deploying into client infrastructure or multi-cloud environments with security, audit, and change-control requirements. A preference for portable, vendor-agnostic patterns while still using native cloud identity and infrastructure where appropriate. Strong debugging skills and calmness under deployment pressure. Fluent English and comfort working in a distributed, international team. EU residency and permission to work in the EU. Nice to Have Deep Azure experience, especially AKS, managed identity, Azure OpenAI, Azure Container Registry, Key Vault, and private networking. Experience with Databricks, managed Postgres, OTEL, model gateways, private registries, or enterprise secrets management. Familiarity with agentic AI platforms, Kubernetes-native control planes, MCP/A2A flows, or workflow orchestration. Experience supporting enterprise clients in consulting, staff augmentation, or forward-deployed roles. Technologies & Tools You May Work With Terraform AWS / EKS Azure / AKS GCP / GKE Kubernetes Helm GitHub Actions / OIDC GitOps OCI registries Azure OpenAI Azure Container Registry Azure Key Vault Managed Postgres Databricks OpenTelemetry Private registries Cloud-native identity systems Ready to build the multi-cloud foundations for a serious enterprise AI platform? Apply now and help create deployment patterns that work across real-world client environments. Apply Now!

🏢 Summary: Mid+/Senior DevOps Engineer (GCP) role focused on operating and evolving the GCP infrastructure layer of a cloud-agnostic AI/ML platform. The position centers on advanced GKE operations, service mesh management, GitOps, and secure, scalable cloud networking for production-grade AI workloads. The engineer drives reliability, automation, and infrastructure ownership in a high-scale, multi-cloud environment. 🗂️ Requirements: 4+ years experience in DevOps, Platform, or Cloud Engineering, Strong hands-on experience with GCP, Advanced GKE and Kubernetes administration and troubleshooting, Experience with Istio or Cilium service mesh, Knowledge of Kyverno and Kubernetes policy management, Experience with Ingress and Gateway API configuration, Practical experience with FluxCD and GitOps workflows, Deep knowledge of GCP networking and security services, Experience with GitHub Actions for CI/CD, Proficiency with Docker and containers, Python scripting for automation, Fluent English 📃 Skills: GCP, GKE, Kubernetes, Istio, Cilium, Kyverno, FluxCD, GitOps, VPC, IAM, Docker, Python, GitHub, CloudSQL, CloudStorage, Ingress, GatewayAPI, mTLS, VertexAI, AKS, Databricks 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid+/Senior DevOps Engineer (GCP) , you will join the team behind AI Factory - a cloud-agnostic platform for building and running generative AI and ML applications across Azure, GCP, and AWS. Your primary focus will be maintaining and evolving the GCP infrastructure layer of this platform, ensuring it is secure, scalable, and production-ready for cutting-edge AI workloads. Expect deep work with GKE, service meshes, GitOps, and GCP-native networking in a complex, high-stakes environment where your troubleshooting skills and ownership mindset will be tested and valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth . Your Responsibilities Operating, maintaining, and debugging GKE clusters at an advanced level - including workload management, networking, and cluster-level troubleshooting under pressure. Configuring and debugging Istio or Cilium service mesh - managing traffic policies, mTLS, observability, and cross-service communication. Defining and enforcing Kyverno policies for governance, security, and compliance across Kubernetes workloads. Managing Ingress and Gateway API configurations for reliable and secure traffic routing. Driving GitOps workflows using FluxCD - managing continuous delivery and infrastructure state across environments. Designing and maintaining GCP networking and security infrastructure - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, and Cloud Storage. Building and maintaining GitHub Actions pipelines for automation, deployment, and platform operations. Writing Python scripts to automate operational tasks and platform management workflows. Collaborating clearly and proactively with cross-functional teams - including ML engineers, data engineers, and application developers — to resolve platform-level issues. Taking ownership of issues - diagnosing, escalating where needed, and driving problems to resolution without being asked. What We're Looking For 4+ years of experience in a DevOps, Platform, or Cloud Engineering role, with significant hands-on GCP exposure. Advanced GKE and Kubernetes skills - you can debug complex cluster and workload issues confidently in production. Hands-on experience with Istio or Cilium service mesh - policy configuration, traffic management, and debugging. Practical knowledge of Kyverno , Ingress/Gateway API , and FluxCD (GitOps) . Deep familiarity with GCP services - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, Cloud Storage. Experience with GitHub Actions for CI/CD and automation workflows. Proficiency in Docker and container lifecycle management. Python scripting skills for automation and operational tooling. Strong troubleshooting mindset - calm under pressure, systematic in approach, relentless in resolution. Excellent cross-team communication skills - able to explain complex infrastructure issues clearly to diverse audiences. Fluent English - our daily working language with international teams and clients. Nice to Have Experience with Cloud Interconnect and hybrid connectivity patterns. Familiarity with Vertex AI integration with GKE (connectivity and networking layer). Hands-on experience with Azure AKS or multi-cloud Kubernetes environments. Exposure to Databricks in a cloud or platform engineering context. Experience working on AI/ML platforms or MLOps infrastructure . Why You’ll Love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities , explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first , work from anywhere in the world ( workation ) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunity Cloudfide is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: Mid+/Senior DevOps Engineer (GCP) role focused on maintaining and evolving the GCP infrastructure layer of a cloud-agnostic AI/ML platform (AI Factory). The position involves operating production-grade GKE clusters, managing service mesh, GitOps workflows, and GCP networking to support scalable, secure AI workloads. You will work in a high-stakes, multi-cloud environment ensuring reliability, automation, and platform excellence. 🗂️ Requirements: 3+ years experience in DevOps, Platform, or Cloud Engineering with strong GCP exposure, Advanced Kubernetes and GKE administration and troubleshooting in production, Hands-on experience with Istio or Cilium service mesh, Practical experience with Kyverno, Ingress or Gateway API, and FluxCD, Strong knowledge of GCP services: VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, Cloud Storage, Experience with GitHub Actions for CI/CD automation, Proficiency in Docker and container lifecycle management, Python scripting for automation and operational tasks, Ability to troubleshoot complex infrastructure issues under pressure, Fluent English 📃 Skills: GCP, GKE, Kubernetes, Istio, Cilium, Kyverno, FluxCD, GitOps, VPC, IAM, Docker, Python, GitHub, Actions, CloudSQL, CloudStorage, Ingress, GatewayAPI, WorkloadIdentityFederation, IdentityAwareProxy, PrivateServiceConnect 🏢 Description: Why Join Us At Cloudfide, we engineer solutions where data truly becomes an accelerator for innovation. We build and evolve large-scale Big Data and cloud-native platforms for global clients, including leaders in retail and the Fortune 500. We process massive, complex datasets, operate fully in the cloud ecosystem, and work with the latest technologies, including AI, ML, MLOps, and modern data architectures. Our projects have measurable, real‑world impact - from enhancing customer experiences at scale to empowering data-driven decision-making in high‑visibility global organizations. As we continue to grow, you'll have the opportunity to shape solutions, mentor others, drive architecture decisions, and take ownership of strategic initiatives. Opportunity Overview As a Mid+/Senior DevOps Engineer (GCP) , you will join the team behind AI Factory - a cloud-agnostic platform for building and running generative AI and ML applications across Azure, GCP, and AWS. Your primary focus will be maintaining and evolving the GCP infrastructure layer of this platform, ensuring it is secure, scalable, and production-ready for cutting-edge AI workloads. Expect deep work with GKE, service meshes, GitOps, and GCP-native networking in a complex, high-stakes environment where your troubleshooting skills and ownership mindset will be tested and valued. You'll join a team of passionate engineers who value technical excellence, collaboration, and continuous growth . Your Responsibilities Operating, maintaining, and debugging GKE clusters at an advanced level - including workload management, networking, and cluster-level troubleshooting under pressure. Configuring and debugging Istio or Cilium service mesh - managing traffic policies, mTLS, observability, and cross-service communication. Defining and enforcing Kyverno policies for governance, security, and compliance across Kubernetes workloads. Managing Ingress and Gateway API configurations for reliable and secure traffic routing. Driving GitOps workflows using FluxCD - managing continuous delivery and infrastructure state across environments. Designing and maintaining GCP networking and security infrastructure - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, and Cloud Storage. Building and maintaining GitHub Actions pipelines for automation, deployment, and platform operations. Writing Python scripts to automate operational tasks and platform management workflows. Collaborating clearly and proactively with cross-functional teams - including ML engineers, data engineers, and application developers — to resolve platform-level issues. Taking ownership of issues - diagnosing, escalating where needed, and driving problems to resolution without being asked. What We're Looking For 3+ years of experience in a DevOps, Platform, or Cloud Engineering role, with significant hands-on GCP exposure. Advanced GKE and Kubernetes skills - you can debug complex cluster and workload issues confidently in production. Hands-on experience with Istio or Cilium service mesh - policy configuration, traffic management, and debugging. Practical knowledge of Kyverno , Ingress/Gateway API , and FluxCD (GitOps) . Deep familiarity with GCP services - VPC, Private Service Connect, IAM, Workload Identity Federation, Identity-Aware Proxy, Cloud SQL, Cloud Storage. Experience with GitHub Actions for CI/CD and automation workflows. Proficiency in Docker and container lifecycle management. Python scripting skills for automation and operational tooling. Strong troubleshooting mindset - calm under pressure, systematic in approach, relentless in resolution. Excellent cross-team communication skills - able to explain complex infrastructure issues clearly to diverse audiences. Fluent English - our daily working language with international teams and clients. Nice to Have Experience with Cloud Interconnect and hybrid connectivity patterns. Familiarity with Vertex AI integration with GKE (connectivity and networking layer). Hands-on experience with Azure AKS or multi-cloud Kubernetes environments. Exposure to Databricks in a cloud or platform engineering context. Experience working on AI/ML platforms or MLOps infrastructure . Why You’ll Love Cloudfide Benefits: MyBenefit platform / Multisport Enel‑Med private medical care Professional Growth: Annual 2,000 PLN development budget Access to e‑learning platforms Real opportunities to expand responsibility and lead initiatives - most of our Leads come from internal promotions As the company continuously grows, you get real opportunities to expand your responsibilities , explore new areas, and even take ownership of your own initiatives. Work Environment: Long-term cooperation: UZ or B2B (we value stable, lasting relationships) Remote-first , work from anywhere in the world ( workation ) Flexible hours & strong focus on work-life balance Collaboration with top engineers you can truly learn from Flat structure - every voice counts, and you help shape the company Culture & Integration: Company-wide trips (including international ones) Team integration budgets Open communication and supportive, passionate teams Equal Opportunity Cloudfide is an Equal Opportunity Employer. We value diversity and are committed to creating an inclusive environment for all employees.

🏢 Summary: Senior GCP Cloud Engineer role focused on building, automating, and securing scalable cloud infrastructure on Google Cloud Platform. The position involves managing GKE clusters, developing Terraform-based infrastructure as code, and implementing high-performance CI/CD pipelines with a strong DevSecOps approach. The engineer is responsible for cloud networking, security, and observability to ensure resilient, production-ready environments. 🗂️ Requirements: 6+ years DevOps/Cloud experience, Hands-on experience with GCP services (GKE, ComputeEngine, CloudSQL, IAM), Strong Terraform proficiency, Strong Kubernetes knowledge, Docker experience, Experience with CI/CD pipeline automation, Experience integrating security into CI/CD workflows, Knowledge of cloud networking (VPC, Firewalls), Experience with monitoring and logging tools, Legal work permit in Poland 📃 Skills: GCP, GKE, ComputeEngine, CloudSQL, CloudStorage, IAM, Terraform, Kubernetes, Docker, CICD, GitHubActions, GitLab, Jenkins, DevSecOps, VPC, Firewalls, CloudArmor, SecretManager, CloudMonitoring, CloudLogging 🏢 Description: Project info: We are seeking a Senior GCP Cloud Engineer to drive the implementation, automation, and security of our cloud infrastructure. In this role, you will be the technical engine behind our Google Cloud Platform (GCP) environment, responsible for building scalable GKE clusters, robust Terraform modules, and high-velocity CI/CD pipelines. You should be a hands-on expert who defaults to automation, possesses a “security-first” mindset, and can translate architectural blueprints into production-ready, resilient code. Responsibilities: 1. GCP Service Management Deployment & Scaling: Manage and optimize core GCP services including Compute Engine (MIGs), Cloud SQL (backups/replication), and Cloud Storage. Identity & Access: Implement and maintain granular IAM policies and service account permissions to ensure least-privileged access across all environments. 2. Kubernetes & Container Orchestration GKE Operations: Manage the full lifecycle of Google Kubernetes Engine (GKE) clusters, including upgrades, autoscaling configuration, and resource monitoring. Containerization: Build and secure Docker images and manage container orchestration using Kubernetes best practices (Ingress, ConfigMaps, Secrets). 3. Infrastructure as Code (IaC) & DevSecOps Terraform Development: Write and maintain modular, reusable Terraform code to provision and manage cloud resources as a single source of truth. Pipeline Automation: Build and optimize CI/CD pipelines that automate testing, deployment, and DevSecOps security scanning (using GitHub Actions, GitLab, or Jenkins). 4. Networking, Security & Monitoring Cloud Networking: Configure and troubleshoot Cloud Networking components, including VPCs, Shared VPCs, Firewalls, and Cloud Load Balancing. Security & Compliance: Implement cloud-native security tools (Cloud Armor, Secret Manager) to protect applications and data. Monitoring & Alerting: Design and manage observability dashboards using Cloud Monitoring and Cloud Logging to ensure proactive issue detection and system reliability. Job requirements: 6+ Years in DevOps/Cloud: Proven experience managing production-grade cloud environments with a focus on GCP. GCP Services Expertise: Hands-on experience with GKE, Compute Engine, Cloud SQL, and IAM. (Associate or Professional Cloud Engineer certification is a plus). IaC Specialist: Strong proficiency in Terraform for infrastructure automation. K8s Expert: Solid understanding of Kubernetes architecture, container orchestration, and Docker. DevSecOps Mindset: Experience integrating security checks into automated CI/CD workflows. Networking & Monitoring: Practical knowledge of cloud networking (VPC/Firewalls) and system monitoring tools. Must possess a legal work permit in Poland Benefits: General benefits - depends on the form of employment Hybrid work model combining office & 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: Senior DevOps Engineer role focused on building, automating, and scaling cloud infrastructure across GCP and Kubernetes environments. The position drives infrastructure as code, CI/CD, observability, security, and reliability improvements while supporting production systems. You will lead infrastructure projects end-to-end and contribute to SRE and GitOps practices in a remote-first team. 🗂️ Requirements: Strong experience with GCP, Deep knowledge of Kubernetes, Hands-on experience with Terraform, Experience building and maintaining CICD pipelines, Experience with monitoring and observability tools, Experience managing PostgreSQL databases, Proficiency with Linux systems, Ability to troubleshoot production incidents, Willingness to participate in on-call rotation, Experience integrating security tooling into workloads, Fluent Polish, Intermediate or higher English 📃 Skills: GCP, Kubernetes, Terraform, GitHub, Actions, OpenTelemetry, Datadog, Prometheus, PostgreSQL, Linux, Ubuntu, Argo, AIkido, CICD, GitOps, SRE 🏢 Description: About the role As a Senior DevOps Engineer at Tellent , you’ll play a key role in shaping how we build, run, and scale our platform. Tellent brings together Recruitee and TellentHR to help organizations attract, hire, and grow great teams. You’ll work hands-on across our cloud infrastructure, collaborating closely with engineering teams — bringing an automation, observability, and security-aware mindset to everything we do. About the team You’ll join a small, experienced DevOps team responsible for keeping our platform stable, efficient, and developer-friendly. We operate with high autonomy and embrace the “you build it, you run it” culture — empowering teams through automation, monitoring, and clear ownership. We think that security, reliability, performance and transparency are shared responsibilities: we continuously improve our detection, response, and audit readiness together with engineering. We work remotely first , but hybrid or office-based collaboration is possible. Our work hours are flexible with a core block reserved for synchronisation — 10 am–4 pm . Because we're remote-first, we rely heavily on asynchronous communication . We share context openly — explaining our reasoning, updating progress, and managing expectations of the teams we support. This makes our work visible, builds trust, and ensures continuity — especially critical during on-call handoffs. Your journey First 3 Months: Learn our GCP, AWS and Kubernetes environments, Terraform structure, and GitHub Actions pipelines. Follow our onboarding process and provide feedback to it.  You will get your first simple tasks, providing the real value in 2 weeks. Receive support and navigation from other DevOps team members.  Meet the team & important stakeholders. After those 3 months you will join the on-call rotation, to understand our production systems even deeper. And last but not least — every now and then we close the laptops, meet in person, and share good food and stories. Within 6 Months: You independently lead projects — scoping work, breaking it into deliverables, and communicating progress to the team. Focus areas include infrastructure automation, observability, and reliability improvements. You contribute to incident troubleshooting. Enhance workload security by integrating AIkido findings, strengthening detection, and hardening configurations. Take part in security audits and conduct post-mortem reviews, helping identify and close gaps. After 1 Year: Be a key voice shaping Tellent’s platform direction — ensuring bulletproof monitoring, secure and self-healing systems, and scalable, well-documented infrastructure. Influence microservice design and platform standards across teams, embedding security and reliability from the start. What you'll be doing Own and drive infrastructure projects end-to-end — from breaking down the problem into subtasks, through implementation, to communicating results to stakeholders. We don't just "do tasks"; we solve problems and explain how and why. Evolve Kubernetes (with Argo) and cloud infrastructure — mostly GCP. Take part in cloud infrastructure unification. Develop and maintain Terraform configurations for scalable, reliable systems. Build and optimize CI/CD pipelines using GitHub Actions. Strengthen observability with OpenTelemetry and Datadog. Integrate and act on insights from AIkido and other security tools to detect and mitigate issues within workloads. Support and tune PostgreSQL and other managed databases used by our applications. Collaborate with engineering teams — proactively communicate progress, share context, and manage expectations. Troubleshoot and resolve production issues as part of our on-call rotation. Participate in internal and external security audits , ensuring our systems meet compliance and resilience standards. Drive SRE and GitOps principles — from post-mortems to automation and clear documentation. What you bring Solid experience operating in Google Cloud Platform (GCP) environments. Deep understanding of Kubernetes , Terraform , and modern CI/CD practices. Hands-on experience with monitoring and observability tooling (e.g., OpenTelemetry, Datadog, Prometheus). You know your way around managing RDBMSs (we use Postgres) Comfort working in Ubuntu/Linux-based systems . AI as a daily tool — you actively use AI assistants and automation to move faster, solve problems, and reduce toil. You understand their strengths and limitations, and you're always looking for new ways to leverage them. Strong troubleshooting skills and a calm, collaborative approach to resolving production incidents. Self-management skills — you can break down ambiguous problems into concrete steps, prioritize your work, and drive projects forward without constant direction. Excellent async communication — you proactively share your thinking process, progress, and decisions in writing. You manage stakeholder expectations, make your work visible, and ensure others can pick up where you left off. In a remote team, written communication is how we build trust, share knowledge, and maintain continuity. Can-do attitude, curiosity, and craftsmanship spirit. Fluent Polish and intermediate or higher English . Nice to have Experience with Amazon Web Services (AWS) . Familiarity with cloud workload security tools (e.g., Aikido, GCP Security Command Center) and vulnerability management. Background in distributed systems or large-scale architecture. Previous experience as a backend developer (Elixir, Node.js, or similar). What we offer Working within an international, friendly team that truly values your contribution Brilliant culture and informal, come-as-you-are dress code Salary in the range of: For B2B: 22000 - 30000 PLN + VAT and 30 paid break days For an employee contract: 18.000 PLN - 24.500 PLN and 26 paid holiday days on employee contract + 2 wellbeing days each year €1000 of training budget per year to keep you sharp and in tune with trends €500 travel budget to visit your colleagues in Amsterdam €200 home office budget + work from home allowance Work from anywhere for 4 weeks/year MacBook + displays, alongside all the tools you need to succeed Travel reimbursement and wellness perks Fitness card (Multisport) Private health care (LuxMed) About Tellent Tellent is a leading Talent Management Suite designed to empower HR & People teams across the entire employee journey. Our all-in-one platform combines an Applicant Tracking System (Tellent Recruitee), intuitive HRIS (Tellent HR) and powerful Performance Management Software (Tellent Grow) to streamline every stage of the talent lifecycle. With a team of 250+ talented professionals across global hubs, we support 7,000+ organizations in 100+ countries — helping them attract, grow and retain top talent. Backed by a thriving ecosystem of 500+ partners, we’re united by one shared mission: to equip People leaders everywhere with the tools they need to make better people decisions today.

🏢 Summary: Senior GCP & Kubernetes DevOps Engineer role focused on migrating 100+ microservices to Google Cloud Platform and operating a scalable, production-ready Kubernetes platform. The position centers on building CI/CD pipelines, implementing observability, and ensuring reliability and security of containerized Java and Python services. It combines hands-on platform engineering with support for large-scale cloud transformation in a global environment. 🗂️ Requirements: 5+ years hands-on Kubernetes experience (preferably GKE), Experience operating or migrating large-scale microservices platforms, Strong support experience with Java and Python microservices on Kubernetes, Experience building CI/CD pipelines for containerized applications, Hands-on Infrastructure as Code experience (Terraform preferred), Experience with monitoring, observability and distributed tracing tools, Knowledge of incident management and production support practices, Fluent English, Legal right to work in the European Union 📃 Skills: GCP, GKE, Kubernetes, Docker, Helm, Terraform, CI/CD, Prometheus, Grafana, Loki, Tempo, Java, Python, Istio, IAM, VPC 🏢 Description: Unleash Innovation in Cloud DevOps — Transform Microservices into Scalable Powerhouses on GCP! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP & Kubernetes DevOps Engineer , you will be working for our client, a leading financial technology organization driving large-scale digital transformation within Global Markets Technology. You will support a major migration project involving over 100 microservices to Google Cloud Platform (GCP), focusing on Kubernetes, observability, and platform reliability. This role offers an exciting opportunity to shape resilient, production-ready infrastructure while fostering innovation and continuous improvement. Your main responsibilities: Engineer and operate the target platform on GCP/GKE to support the migration of 100+ microservices. Partner with application delivery teams to onboard services onto Kubernetes, including deployment patterns, configuration, and operational readiness. Provide hands-on support deploying Java and Python microservices into Kubernetes (using manifests/Helm, config, secrets, scaling, health checks). Build and standardise CI/CD pipelines for containerised workloads, ensuring security and reliability. Implement observability solutions: metrics, logs, distributed tracing (preferably Grafana stack), dashboards, alerting, and SLO reporting. Drive platform reliability and support: incident management, root cause analysis, and preventative enhancements. Identify and address technical debt; propose platform improvements to reduce operational toil and enhance developer experience. Ensure solutions comply with security controls, operational guidelines, and technology standards. Collaborate effectively within a global, dispersed team, sharing knowledge and best practices. You're ideal for this role if you have: A minimum of 5 years of hands-on experience with Kubernetes, ideally GKE, including deployment, ingress, configuration, and troubleshooting. Proven experience migrating or operating microservices platforms at scale. Strong expertise supporting Java and Python microservices within Kubernetes environments. In-depth knowledge of monitoring, observability, and tracing tools, preferably Grafana stacks (e.g., Prometheus, Loki, Tempo). Experience building and maintaining CI/CD pipelines for containerised applications. Skills in Infrastructure as Code (Terraform preferred) and automated environment provisioning. A solid production mindset: reliability, incident response, and continuous improvement. Ability to work effectively with local and global teams, with excellent written and spoken English. A delivery-driven and pragmatic approach, balancing speed, control, and risk management. Open-minded, eager to learn, and capable of guiding colleagues as needed. It is a strong plus if you have: Experience with GCP services supporting GKE (IAM, VPC, Cloud Logging/Monitoring, Artifact Registry). Helm chart development and standardisation across teams. Service mesh experience (Istio) and ingress patterns. Knowledge of security tooling (container scanning, policy-as-code, workload identity). Previous experience with cloud migration or platform engineering projects. Familiarity with Javascript/Vue. 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: Technical leadership role responsible for building and evolving a Cloud DevSecOps/SRE platform supporting AI, MLOps and Data systems in a regulated banking environment. The position focuses on Kubernetes-based cloud infrastructure, CI/CD and GitOps standardization, and ensuring security, scalability and reliability of critical AI services. The role includes architectural impact and development of a platform engineering team. 🗂️ Requirements: Experience as technical leader in Cloud/DevSecOps/Platform Engineering, Advanced knowledge of Kubernetes architecture, networking, autoscaling and security, Practical experience with CI/CD and GitOps in production environments, Experience with Jenkins, GitLab CI and ArgoCD, Strong Linux administration skills, Experience working with cloud platforms, preferably GCP, Knowledge of observability concepts and tools, Understanding of ML/LLM production environments, Knowledge of security, IAM, networking and compliance in regulated environments, Ability to design scalable and long-term platform solutions 📃 Skills: Kubernetes, GCP, CI/CD, GitOps, Jenkins, GitLab, ArgoCD, Linux, Terraform, Anthos, OCP, Istio, Helm, IAM, FinOps, MLOps, DevSecOps, SRE 🏢 Description: RITS Group to firma informatyczna, która oferuje najwyższej jakości usługi programistyczne zarówno dla rynku polskiego, jak i międzynarodowego. Jesteśmy dumni, że należymy do grona najszybciej rozwijających się spółek technologicznych. Naszym priorytetem jest jakość oraz innowacyjność dostarczanych rozwiązań, a nasza kultura organizacyjna opiera się na zaufaniu, współpracy i ciągłym doskonaleniu. Oferujemy • Kluczową rolę w rozwoju rozwiązań wspierających działanie systemów MLOps/AI/Data w Banku. • Realny wpływ na architekturę, standardy i strategię technologiczną w obszarze DevSecOps/SRE. • Pracę w nowoczesnym środowisku GCP + Kubernetes + CI/CD + GitOps. • Współpracę z zespołami MLOps, Data Science, AI, Architektury i Security. • Możliwość budowy i rozwoju zespołu platformowego. • Stabilne środowisko pracy w organizacji finansowej. Obowiązki • Przywództwo techniczne i rozwój zespołu Cloud DevSecOps/SRE ●●●●● • Ekspercka znajomość Kubernetes i platform Cloud Native ●●●●● • CI/CD oraz GitOps w środowiskach produkcyjnych ●●●● • Projektowanie niezawodnej i skalowalnej platformy (SRE mindset) ●●●● • Bezpieczeństwo, IAM i compliance w organizacji regulowanej ●●● Na co dzień w tej roli będziesz: • Prowadzenie i rozwijanie zespołu Cloud DevSecOps/SRE odpowiedzialnego za wsparcie aplikacji działających w środowisku chmurowym (głównie obszar AI, MLOps, Data). • Budowanie i standaryzowanie procesów CI/CD oraz GitOps (Jenkins, GitLab CI, ArgoCD). • Rozwijanie i utrzymywanie środowiska Kubernetes (Anthos, OCP, Istio, Helm). • Rozwijanie platformy zapewniającej szybkie i powtarzalne powoływanie infrastruktury w chmurze (Terraform). • Bliska współpraca z developerami i architektami, rozumiejąc ich potrzeby i proponując usprawnienia w procesach. • Troska o bezpieczeństwo, dostęp do danych i compliance (IAM, sieć, sekrety, audytowalność) w środowisku regulowanym. • Zapewnianie stabilności, skalowalności i niezawodności platformy, na której działają krytyczne usługi AI wykorzystywane w całym Banku. • Mentorowanie zespołu Cloud DevOps oraz zespołu developerskie, rozwijanie kompetencji Cloud Native i Platform Engineering. • Rekomendowanie nowych technologii i usprawnień, m.in . w obszarze observability, automatyzacji, kosztów (FinOps) i platform AI. Wymagania To stanowisko jest dla Ciebie, jeśli: • Masz doświadczenie w roli lidera technicznego w obszarze Cloud / DevSecOps / Platform Engineering. • Bardzo dobrze znasz Kubernetes (architektura, sieć, autoskalowanie, bezpieczeństwo). • Masz praktyczne doświadczenie z CI/CD i GitOps (Jenkins, GitLab CI, ArgoCD). • Swobodnie poruszasz się w środowisku Linux oraz chmurze (najlepiej GCP). • Znasz zagadnienia związane z observalibilty • Rozumiesz specyfikę utrzymania aplikacji i modeli ML/LLM na produkcji (dostępność, latency, rollbacki, wersjonowanie). • Rozumiesz zagadnienia security, IAM, sieci oraz compliance w organizacji regulowanej. • Potrafisz projektować rozwiązania długofalowe, a nie tylko reagować operacyjnie.