CloudOps Engineer

🏢 Summary: Fullstack Engineer role focused on building and shipping data-heavy industrial applications end-to-end, connecting ML outputs and time-series data to customer-facing workflows. The position involves developing React/TypeScript frontends and NestJS/Python backends, integrating data pipelines, and owning performance and reliability in production. The role requires fast iteration, direct customer impact, and strong AI-assisted development practices. 🗂️ Requirements: 4+ years commercial fullstack experience with production users, Strong TypeScript and React expertise, Solid NestJS and Python FastAPI experience, Experience with data-heavy applications and data pipelines, Experience integrating ML outputs into product workflows, Ability to build and ship end-to-end features, Experience setting up monitoring, logs, and alerts, Understanding of data engineering and ML pipelines, Proficiency with AI-assisted development workflows 📃 Skills: TypeScript, React, NestJS, Python, FastAPI, SQL, ETL, Streaming, TimescaleDB, ClickHouse, InfluxDB, GCP, AWS, Azure, IaC, Monitoring, Logging 🏢 Description: Kyper - Fully remote, B2B Kyper is the agentic downtime partner for heavy industry. Mining and oil & gas operators lose millions every hour to unplanned downtime. Our product surfaces ML signals, time-series data, and assembled context to four very different users - technicians on the plant floor, reliability engineers, ops managers, and VPs. None of them have time for clunky software. We need a fullstack engineer who builds that product end-to-end. Don't apply if You only do frontend, or only do backend, and want to keep it that way. You'd rather stay away from databases, pipelines, or anything that smells like data engineering. You have not shipped to production with real users. You have never set up monitoring, logs, or alerts for code you wrote. If you ship it, you watch it. You prefer detailed designs and tickets before you start moving. Your AI tooling stops at chat interfaces and basic IDE autocomplete. You need a fixed 9-to-5. Customers span Japan to Alaska, so we trade strict hours for flexibility on both ends. You want long planning cycles before you write code. We move faster than that. The role You are comfortable with data-heavy applications. You understand how data pipelines and ML systems feed the product, and you can build the layers on top: APIs, services, UI, and the glue between them. You are not afraid of the database, not afraid of the frontend, and you know where the bottlenecks usually hide. What you'll do Build customer-facing features end-to-end: React / TypeScript frontend, NestJS and Python (FastAPI) services on the backend. Wire the product into ML and data pipelines so model outputs become usable workflows. Own performance and reliability for data-intensive views: aggregations, time-series, large object sets. Make pragmatic architectural calls. Refactor when it pays back, leave it alone when it doesn't. Work directly with ML, product, and customers to ship features that actually move metrics. You bring 4+ years of commercial fullstack experience shipping production software with real users. Strong TypeScript / React on the frontend. Solid NestJS and Python (FastAPI) on the backend. We use both, you should be willing to work across them. Proven experience with data-heavy applications: pipelines, ETL, streaming, analytical queries, or ML output integration. Working understanding of how data engineering and machine learning pipelines feed product surfaces. You do not need to be the ML or data engineer, but you do need to speak the language. Bonus Time-series stores (TimescaleDB, ClickHouse, InfluxDB) or columnar warehouses. Industrial / IoT data, operational dashboards, or alerting interfaces. Cloud (GCP, AWS, Azure) and basic IaC. You will fit Kyper if you Are productive with AI code agents and modern AI-assisted development workflows. If you have never built a Claude Code skill or subagent, set up an MCP server, run a personal knowledge system like Obsidian, or chained AI tools into a real workflow, your AI usage is probably too basic for what we need. Move fast, learn fast, and adapt quickly. Can take ideas and POCs all the way to production. This is a must-have skill. Are willing to dive into whatever challenges are needed to get things done. How we work You will ship product that industrial operators use every day, in real plants and mines. Short feedback loops, direct customer contact, and no layers between you and the work. We optimize for shipping and learning. Our customers are world-class at heavy industry. They know their plants, their failure modes, and their operations cold. They are typically not deep on data, software, or computer science. That means the spec you need will not arrive on a silver platter. You will have to read between the lines, ask the right questions, and translate operational reality into product. Fully remote on a B2B contract. Quarterly team co-locations in Warsaw. Customers span Japan to Alaska, so the occasional early or late call comes with the role. The trade is real flexibility on the rest of your time.

🏢 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: Full-time remote DevOps Consultant role focused on designing and maintaining Azure DevOps CI/CD pipelines and managing Kubernetes-based deployments across cloud and on-prem environments. The position involves containerization, automation scripting, database operations in Kubernetes, and implementing secure, monitored deployment workflows. Long-term B2B engagement within an IT services environment. 🗂️ Requirements: Strong experience with CI/CD in Azure DevOps, Proficiency in Kubernetes and Helm, Experience with Docker containerization, Strong Bash scripting skills, Strong Python scripting skills, Experience with Terraform (IaC), Experience managing Postgres in Kubernetes, Experience with Python backend deployment, Understanding of cloud and on-prem deployment models, Experience with Kubernetes monitoring and logging, Knowledge of Kubernetes security best practices, Familiarity with Microsoft Entra ID 📃 Skills: Azure, AzureDevOps, Kubernetes, Helm, Docker, Bash, Python, Terraform, Postgres, CI/CD, YAML, EntraID 🏢 Description: 🌍 Remote work: fully remote. 📑 Assignment type : B2B – max. 140 zl/h. 📕 Project language: English. ⏳ Project length: > 12 months + prolongations. ⏰ Start: ASAP / 1 month. 💻 Workload: full time. ⚙️ Recruitment process : 2 interviews with the client. 💼 Industry : IT Services / Digital Consulting 🔍Additional information: After receiving the offer, a background check is carried out (references, criminal record check, etc.). We are seeking a skilled DevOps Consultant with expertise in modern CI/CD practices, Kubernetes, and automation scripting. The successful candidate will contribute to the design and maintenance of Azure DevOps pipelines and optimize deployment strategies on Kubernetes. A strong foundation in cloud technologies and hands-on experience with containerization and monitoring is essential. Main Responsibilities: Design and maintain Azure DevOps YAML pipelines and build agents. Deploy and operate applications on Kubernetes using Helm charts and manifests. Create and optimize multi-stage Docker images. Build automated workflows around AI-powered services using scripting. Run and manage Postgres and vector databases in Kubernetes. Operate Python backends as part of deployment workflows. Manage portable Kubernetes-based deployments across Azure and on-prem clusters. Set up logging, metrics, and alerting while ensuring best practices in security. Configure Microsoft Entra ID applications for secure access to resources. Key Requirements: Strong experience with CI/CD practices, particularly in Azure DevOps. Proficiency in Kubernetes and Helm for application deployment. Experience in containerization with Docker. Strong scripting skills in Bash and Python. Knowledge of Infrastructure as Code (IaC) using Terraform. Experience managing databases in Kubernetes, specifically Postgres. Familiarity with modern Python backend frameworks and deployment processes. Understanding of cloud and on-prem deployment models. Experience with monitoring, logging, and security best practices in Kubernetes. Familiarity with Microsoft Entra ID and secure access protocols. Nice to Have: Knowledge of frontend build tools like Vite. Experience with Nginx configuration for SPAs. Familiarity with vector databases like Qdrant. Other Details: This position can be performed remotely, providing flexibility in work arrangements. We are looking for candidates passionate about leveraging technology to empower people and enhance operational efficiency.

🏢 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: 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: Senior DevOps Engineer role supporting large-scale, low-latency trading systems for a North American bank. The position involves building, automating, and maintaining infrastructure across hundreds of servers and modernizing DevOps tooling in a fully remote, long-term engagement. The engineer will work on high-performance production systems used in real-time financial markets. 🗂️ Requirements: 6+ years of DevOps experience, Experience with multiple Linux distributions, Experience with at least one cloud environment, Experience managing 400+ servers using infrastructure automation tools, Proficiency in Python, Proficiency in Bash, Experience deploying and managing AWS-based systems, Experience supporting low-latency trading or capital markets systems, Experience with bare metal container orchestration, Strong knowledge of Linux system lifecycle, Ability to build and maintain observability systems, Advanced troubleshooting in live Linux environments, Ability to work US Eastern business hours, Eligibility to work and reside in Poland 📃 Skills: Linux, AWS, Python, Bash, Puppet, Ansible, Terraform, CloudFormation, Kubernetes, Docker, Icinga, Nagios, Observability, Automation 🏢 Description: Are you an experienced DevOps engineer who enjoys building and managing infrastructure in the cloud? Do you love working with smart people in interesting and useful domains? Want to work on large systems that power real-time trading across global markets? If so, read on. The Role at a Glance Senior Cloud Infrastructure Engineer Fully remote for a top North American bank (based in Poland only) 220-250 zł/hr B2B net + VAT Partial overlap with US Eastern business hours We’re hiring experienced DevOps engineers (6+ years) to join the IT infrastructure team at a top North American bank — directly supporting the development of financial trading systems . You’ll be part of the core IT infrastructure team , building and maintaining infrastructure in AWS for trading systems used across the firm. Why Join Us? Collaborate with a world-class team of DevOps engineers and developers across North America and Europe. Enjoy a long-term, fully remote role . Competitive compensation and long term stability that only a bank can offer. A successful candidate will be a passionate DevOps engineer who prioritizes automation, can code their own tools, and understands the value of observability. They will have experience maintaining configuration at scale of over 100 servers.  They must also be curious, open-minded, and desire to learn new things. English proficiency is a must. This is a fully remote DevOps role for an engineer in Poland . You will be working exclusively and directly with the bank through a Polish company, that will provide the support and administrative assistance to make you successful in the role. We are looking for people to join the team long-term. This role requires a 6-hour overlap with US Eastern business hours during the onboarding period and a 3-4 hour flexible overlap afterwards. Only open to residents of Poland. Polish citizens, as well as legal residents with permission to work in Poland are welcome. Successful candidates will need to pass a standard background check. What we offer Work that matters in the financial domain: Work on a trading system at an established financial institution, processing millions of transactions daily. Professional growth: Collaborate with smart, highly capable developers in a supportive and challenging environment. Direct collaboration : You will work directly with the bank’s team in North America and in Poland. 1st-tier work : This is not a technical support or legacy maintenance role. The system is functional and is actively being built and you will take part in updating it. The people who built the system are still part of the team. Long-term commitment: This is not a fixed-scope or fixed-term outsourcing role; we value people who want to grow and contribute long-term. Fully remote work: Fully remote position based in Poland. Competitive Compensation: Above-average pay and ample time-off options. Responsibilities Own one or more technology domains end-to-end such as the AWS multi-account landing zone (Control Tower, SCPs, Organizations, IAM Identity Center), EKS greenfield buildout (service mesh, GitOps/ArgoCD, Karpenter), CI/CD pipeline architecture, or AI/ML infrastructure (Bedrock, GPU workloads, MLOps). Lead platform buildouts from design through production. Architect, implement, and operate the systems your domain covers, making and documenting architecture decisions within your scope. Author and enforce IaC standards. Write production-grade Terraform/Terragrunt modules and establish patterns the entire team adopts. Design and implement CI/CD pipelines for infrastructure and application workloads using Jenkins on ECS and GitOps workflows. Understand and troubleshoot hybrid connectivity across co-location facilities, AWS Transit Gateway, Direct Connect, and cross-region networking; partner with the Networks team to resolve issues and implement changes. Mentor two Mid-level Engineers (L3). Review code and designs, pair on complex problems, drive their technical growth. Collaborate with the Governance and Security SME on security posture, vulnerability remediation prioritization, and regulatory compliance. Participate in on-call as a senior escalation point for production infrastructure incidents. Leverage AI-assisted developer tooling to accelerate delivery and reduce operational toil across the team. Requirements Must have 6+ years building and operating production infrastructure on AWS. Deep expertise in at least one of: AWS multi-account architecture (Control Tower, SCPs, Organizations, TGW) or Kubernetes at scale (EKS, service mesh, GitOps/ArgoCD, Karpenter). Terraform and Terragrunt proficiency. You create the modules, not just consume them. CI/CD pipeline design and maintenance (Jenkins, GitHub Actions, or equivalent). Linux systems administration (Amazon Linux, RHEL, or equivalent). Python and Bash scripting for automation. Experience mentoring engineers through code reviews, design reviews, and pairing. Ability to take ambiguous problems, ask the right questions, and deliver without hand-holding. Ability to follow and understand technical conversations. Ability to work during US Eastern business hours: 6-hour overlap during the onboarding period and a 3-4 hour flexible overlap afterwards. Nice to have Financial services, trading technology, or regulated industry experience. Experience with Microsoft Entra ID (Azure AD) and enterprise application management, SAML/SSO configuration, and AWS IAM Identity Center integration. Hybrid cloud connectivity troubleshooting (Direct Connect, Transit Gateway, co-location to AWS). Privileged access management (CyberArk or equivalent). Cloud security tooling (Wiz, Qualys, CrowdStrike). AI/ML infrastructure such as Bedrock, SageMaker, GPU instance management, and MLOps pipelines. AWS certifications (Solutions Architect Professional, Advanced Networking, Security Specialty). Interview process Submit your CV. Answer a few written questions and a short programming exercise which you can do at your own pace. Participate in an online three-stage interview process Successful candidates will need to pass a standard background check.

🏢 Summary: This role focuses on building and maintaining Azure-based Kubernetes infrastructure for a global SaaS platform delivering real-time analytics in the maritime and energy sectors. You will develop and operate AKS clusters, implement GitOps and Infrastructure as Code practices, and enhance an Internal Developer Platform to support scalable, secure, and highly available containerized workloads. The position offers fully remote work and engagement with cutting-edge cloud and observability technologies. 🗂️ Requirements: Strong experience with Kubernetes administration in production (AKS, RBAC, networking, troubleshooting), Solid expertise in Azure Cloud services (AKS, Azure Container Apps, Azure Container Registry), Hands-on experience with Terraform and Terragrunt in production environments, Practical experience with GitOps tools (ArgoCD or Flux), Strong knowledge of containerization and Docker, Experience building and maintaining CI/CD pipelines (GitHub Actions or similar), Hands-on experience with Prometheus, Grafana, Alertmanager, Working knowledge of Ansible (playbooks, roles), Proficiency in Bash and Python scripting 📃 Skills: Kubernetes, AKS, Azure, Terraform, Terragrunt, ArgoCD, Flux, Docker, containerd, GitHub, Prometheus, Grafana, Alertmanager, Ansible, Bash, Python, Helm, Kustomize, Backstage, Kyverno, Loki, Tempo, FluentBit, Thanos 🏢 Description: Salary: 1350 - 1500 PLN net/day (B2B contract) Remote: Fully remote or hybrid from Warszawa / Gdańsk / Kraków / Rzeszów (flexible arrangement) Why choose this offer? Work on critical infrastructure powering safety and compliance solutions used globally in maritime, energy, and industrial sectors Join a Scandinavian organizational culture that values work-life balance, transparency, and employee wellbeing Access to cutting-edge cloud technologies - Azure, Kubernetes, GitOps, and modern observability stack Professional development - training, certifications (CKA, Azure), and conferences financed by the company International environment - collaborate with engineers across 100+ countries on industry-defining projects Flexible work organization - we adapt to your schedule and support remote work arrangements Project You will join a global cloud infrastructure team working on an industry-leading platform built on Microsoft Azure that serves maritime and energy sectors worldwide. This platform handles massive amounts of critical data from vessels, offshore installations, pipelines, and industrial assets, providing real-time analytics and insights that directly impact safety, compliance, and operational efficiency . Your role will focus on building and maintaining Azure Kubernetes Service (AKS) clusters that power enterprise SaaS solutions, developing Internal Developer Platform capabilities using Backstage to enable self-service for development teams, implementing Platform Engineering practices to improve developer experience and accelerate delivery, and ensuring high availability, security, and performance of containerized workloads serving millions of users globally. Expected competences and knowledge Strong Kubernetes experience - hands-on administration of production AKS clusters (provisioning, RBAC, networking, troubleshooting) Azure Cloud expertise - solid understanding of AKS, Azure Container Apps, Azure Container Registry , and core Azure services Infrastructure as Code - proven experience with Terraform and Terragrunt in production environments GitOps proficiency - practical experience with ArgoCD or Flux for continuous deployment Containerization - deep knowledge of Docker, containerd , Dockerfiles, and container best practices CI/CD - experience building and maintaining pipelines with GitHub Actions or similar tools Observability stack - hands-on experience with Prometheus, Grafana, Alertmanager Configuration Management - working knowledge of Ansible (playbooks, roles) Scripting skills - proficiency in Bash and Python for automation Platform Engineering experience (nice to have) - familiarity with Backstage and self-service platform concepts Advanced Kubernetes (nice to have) - knowledge of Operators, CRDs, Admission Webhooks Extended observability (nice to have) - experience with Loki, Tempo, Fluent Bit, Thanos Policy enforcement (nice to have) - practical experience with Kyverno or similar tools Technologies you'll work with Kubernetes - AKS, Deployments, StatefulSets, DaemonSets, Jobs, Services, Ingress, NetworkPolicies, Helm, Kustomize, Operators, CRDs Containerization - Docker, Podman, containerd, Azure Container Registry, Azure Container Apps Infrastructure as Code - Terraform, Terragrunt Configuration Management - Ansible GitOps & CI/CD - ArgoCD, Flux, GitHub Actions, Argo Workflows Observability - Prometheus, Thanos, Grafana, Alertmanager, Loki, Tempo, Fluent Bit Platform Engineering - Backstage (Internal Developer Platform) Security & Policy - Kyverno, Azure Security Center, Azure Key Vault Scripting - Bash, Python Azure Cloud - AKS, Container Apps, Virtual Networks, Load Balancers, Azure Monitor, Log Analytics Client – why choose this particular client from the Jit portfolio? Our Client has been in the business of providing safety and insurance for the maritime industry for over 160 years and is now the leading provider of security certification and audits . They offer a wide range of digital projects to increase safety and compliance with standards in industrial fields . Our Client's solutions are used in the maritime industry , from raw materials extraction , to anywhere else where there is a need for quality and compliance with norms and standards . We have been working with our Client since 2013 , creating and maintaining applications that are utilized in high- risk areas like rigs , mines , and police units , striving to make the world a safer place. Our Client's commitment to safety , ecology , and quality , which has its roots in Scandinavian culture , is implemented on a global scale . About Jit Team The Human Factor of IT - it’s not just a slogan, it’s a philosophy. The foundation of Jit Team is people, which is why we prioritise you. We employ over 770 experienced experts , to whom we offer developmental projects, a wide range of benefits, and a proprietary professional development programme. Together with clients from around the world, we create innovative IT solutions delivered by highly specialised and efficient teams. Behind our maxim are also charitable and educational activities. We support schools, universities, and educational institutions by conducting workshops, running educational projects, sponsoring events, and donating learning equipment. We offer internships that help launch careers in IT. We support water rescuers and hospitals by providing the necessary equipment. We also support numerous charitable organisations helping people in need, children, and the elderly. We are a Polish company and we share what we have achieved over more than 15 years of activity. By supporting local initiatives, we contribute to the circulation of good energy.

🏢 Summary: Senior DevOps/Cloud Engineer role focused on designing and operating cloud infrastructure and data platforms for a Forbes 500 private equity client. The position involves owning AWS-based environments, Infrastructure-as-Code, Kubernetes workloads, identity and authentication systems, and production reliability. You will support data engineering teams by building secure, scalable, and observable multi-cloud infrastructure. 🗂️ Requirements: 10+ years in IT, 5+ years in DevOps/Cloud role, Deep AWS expertise (IAM, EC2, S3, EKS), Strong Terraform experience with end-to-end IaC ownership, Hands-on Kubernetes setup and operations, Docker proficiency, Strong Python skills, Strong Bash skills, Experience with IAM and identity providers, Knowledge of OAuth/OIDC and SSO, Experience with Entra ID and Active Directory, Observability and SRE practices experience, Experience with relational and NoSQL databases, C1+ English proficiency 📃 Skills: AWS, Azure, Terraform, Python, Bash, SQL, Docker, Kubernetes, Airflow, Snowflake, Redshift, Athena, GitLab, Artifactory, SQLAlchemy, IAM, OAuth, OIDC, SSO, Okta, ActiveDirectory, EC2, S3, EKS, Lambda, RDS, Route53, EntraID, CI/CD, Scrum 🏢 Description: We are an AI-native data and technology partner for private capital and healthcare. Founded in 2010 and headquartered in Warsaw, we work with leading PE firms, VC funds, and healthcare organizations to build proprietary data infrastructure, deploy AI solutions, and drive AI-native transformation. Our clients manage a cumulative $210B+ in assets. Our average engagement runs five years. Our NPS sits above 80. We don't need to claim credibility — we can show it. We've also done to ourselves what we now do for clients. We've restructured our own company around AI — tools, policies, roles, delivery models. This isn't a pitch. It's a playbook we've already run, and we're hiring the engineers who will run it for others. The Project: We are carrying out the project for our client, an American private equity and investment management fund - listed on the Forbes 500 list - based in New York. We support them in the area of data pipeline, infrastructure and data engineering team. They operate very widely in the world of finance, loans, investments and real estate. Tech stack AWS (EC2, ELB, IAM, Lambda, RDS, Route53, S3, Athena, Redshift, EKS), Azure (Entra ID / Copilot integration), Terraform, Python, Bash, SQL, Docker, Kubernetes, Apache Airflow, Snowflake, GitLab, Artifactory, SQLAlchemy. Best practices: CI/CD, Code Reviews, Scrum. Your responsibilities Designing, building and maintaining cloud infrastructure across AWS environments, with Azure involvement where needed for Copilot integration Writing and owning Infrastructure-as-Code (Terraform) — from greenfield builds to ongoing refactors Running containerized workloads (Docker, Kubernetes) across multi-region setups Owning observability: logging, metrics, dashboards, reliability targets, operational runbooks Engineering identity and auth solutions — IAM policies, Entra ID, OAuth/OIDC, SSO, Okta, token ownership, service vs. user auth, cross-platform access Debugging real production issues: API failures, auth loops, rate limits, model config problems, client SDK bugs, capacity constraints Building reusable tooling and infrastructure for data scientists and engineers Supporting the broader data engineering team with DevOps expertise Documenting what you build — clearly and thoroughly What we're looking for 10+ years in IT, including 5+ years in a DevOps/Cloud role Deep AWS expertise (IAM, EC2, S3, EKS and beyond); Azure awareness for Copilot-adjacent work Solid Terraform background — you've owned IaC end-to-end, not just contributed to it Kubernetes experience: setting it up from scratch, scaling, day-2 operations Docker proficiency Strong Python and Bash skills Identity and auth engineering: IAM, Entra ID, OAuth/OIDC, SSO, Okta, Active Directory Observability and SRE mindset — you write runbooks, you own reliability, you don't just monitor Experience with relational and NoSQL databases C1+ English — written and spoken Nice to have Experience with data pipeline tools (Airflow, Snowflake, Redshift, Athena) Familiarity with Artifactory or similar repository managers Experience in secure/corporate networking environments (proxies, firewalls) Python data stack: Pandas, NumPy, SQLAlchemy; basic ML libraries a plus Comfort working in both Windows and Unix environments Benefits Unrestricted AI Stack & Premium Gear: Fully paid licenses for Cursor, Claude Pro, etc. Work with a talented team redefining the global perception of Poland Flexible working hours and remote work options Comfortable office in central Warsaw with all essential tools Multisport card & private medical care A culture of feedback – evaluation meetings, mentoring, and career growth opportunities Frontier Engineering Culture: Build alongside elite engineers who are shipping systems that drive real investment decisions. Backed by continuous growth and a strong knowledge-sharing culture ( check our YouTube ). Sounds like a perfect place for you? Don’t hesitate to click apply and submit your application today!

🏢 Summary: The offer is for a DevOps/Cloud Engineer role focused on building, operating, and improving an AWS-based on-prem data platform for large-scale engineering and R&D workloads. The position centers on Kubernetes cluster management, infrastructure as code, and CI/CD automation to ensure platform scalability, reliability, and observability. The role involves close collaboration with data engineering teams to support workload migration and platform enhancements. 🗂️ Requirements: Hands-on experience with AWS services (VPC, EC2, EKS, ECS, S3, IAM, Cognito), Strong production experience with Kubernetes, Practical knowledge of Infrastructure as Code tools (Terraform, CloudFormation), Experience with CI/CD pipelines and deployment automation (ArgoCD, GitHub Actions, GitLab CI/CD), Proficiency in Python, Experience automating infrastructure and platform operations 📃 Skills: AWS, Kubernetes, Terraform, CloudFormation, ArgoCD, GitHub, GitLab, Python, VPC, EC2, EKS, ECS, S3, IAM, Cognito 🏢 Description: Grape Up is a consulting & technology company helping enterprises create the most important applications by leveraging AI & cloud-native technologies and modern ways of delivering software. Our projects are based on cooperation with international clients from government and industries such as automotive, insurance and finance. In cooperation with our client, we are building and operating an on-prem data platform used for large-scale engineering and R&D data processing. Our role focuses on AWS-based infrastructure with Kubernetes, automation, and close collaboration with data engineering teams to ensure scalability and reliability. Responsibilities Maintain, operate, and continuously improve an AWS infrastructure using Terraform code Deploy, configure and manage multiple Kubernetes clusters Develop and maintain CI/CD pipelines and deployment processes using GitHub Actions, Gitlab CI/CD or ArgoCD Ensure high platform reliability, scalability, and observability through proper monitoring and logging solutions Automate infrastructure and platform operations using Python, including scripts or Ansible playbooks Collaborate closely with platform users and developers to support migration of workloads and improve observability and security Requirements Experience with AWS services (VPC, EC2, EKS, ECS, S3, IAM, Cognito and others) Strong hands-on experience with Kubernetes in production environments Solid knowledge of IaC tools (Terraform, CloudFormation) Experience with CI/CD pipelines and deployment automation (ArgoCD, Github Actions, Gitlab CI/CD or similar tools) Proficiency in at least one programming language – preferably Python Good communication skills, both written and spoken Good command of English (B2+/C1) Fluency in Polish (min. B2 level) Nice to have Experience with Azure, especially with AKS, VNet and Entra ID Knowledge of monitoring and logging in distributed systems (CloudWatch, Prometheus, Grafana, OpenTelemetry or equivalents) Experience supporting developers and platform users Benefits of joining Grape Up Non-corporate work environment among experienced engineers Individual growth & development plan supported by cyclical feedback sessions Access to knowledge platforms (e.g. Pluralsight) Equipment of your choice Financing of conferences, external trainings, and certifications Language lessons (English, German and Polish for foreigners) LuxMed private medical care Weekly Lunch & Learn where we meet up in the office, lunch together, and share our knowledge Employee referral program Rewards for the success of the month and year awarded by our employees Special rewards for your years with us (G-Man) Integration activities

🏢 Summary: Platform Engineer role responsible for owning and scaling a self-hosted production stack running on Docker Compose. The position focuses on production operations, automation, CI/CD implementation, observability, infrastructure-as-code, and cloud integration. You will design and execute the scaling roadmap while ensuring reliability, security, and reproducibility of the system. 🗂️ Requirements: 5+ years Linux sysadmin/DevOps/SRE/Platform experience, Strong Docker and Docker Compose expertise, Networking fundamentals (DNS, TLS, HTTP, reverse proxies, load balancers), Bash and Python scripting, CI/CD pipeline design and implementation, Production operations and on-call experience, Experience with AWS or GCP or Azure, Git proficiency, Experience with AI coding assistants in operations, Written technical documentation skills 📃 Skills: Linux, Docker, DockerCompose, Bash, Python, Git, MariaDB, Lighttpd, IPFS, CI/CD, GitHubActions, Terraform, Ansible, Prometheus, Grafana, Loki, Sentry, AWS, GCP, Azure, DNS, TLS, HTTP, HAProxy, NGINX, Caddy, S3, GCS, MinIO 🏢 Description: 🌍 Hello World! We are The Codest -  International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. 📈 The role: We are looking for an experienced Platform Engineer (full-time or part-time). Own the production system end-to-end. Today the entire stack runs self-hosted on Docker Compose: a custom-built lighttpd with database-driven virtual hosts, MariaDB, a Kubo IPFS node, Dozzle for logs, and Uptime Kuma for monitoring. There is no CI/CD pipeline, no infrastructure-as-code, no application performance monitoring, and the scaling story is vertical for now. Your job is to keep the lights on, automate the manual work, design how this system scales, and make pragmatic build-vs-buy decisions on cloud services (load balancing, object storage, managed databases) as we grow. 📈 Your Responsibilities : Operate the production system: deploys, rollbacks, capacity, incident response. Design and execute the scaling roadmap — horizontal scaling, load balancing, caching layers, object-storage offload, database replication, IPFS-node fan-out. Evaluate and integrate cloud building blocks (managed databases, object storage, CDN, load balancers) where they earn their cost. Stand up CI/CD pipelines (greenfield — likely GitHub Actions) covering test, build, image push, and deploy across all services. Establish observability: metrics, logs, error tracking, SLOs, and meaningful alerts. Manage TLS / ACME automation, DNS, and secrets handling — replace today's hardcoded credentials with a proper secret-management story. Introduce infrastructure-as-code (Terraform or comparable) so the production system is reproducible. Use AI coding assistants to author IaC modules, runbooks, and incident-response playbooks. 🔑 Tech Stack You'll Work With or Introduce: Docker, Docker Compose, image building. Linux (Debian-style), Bash, Python for scripting. Lighttpd today (niche, with DB-driven vhost logic you'll learn) - likely to be reconsidered as we scale. MariaDB - including replication, backup/restore drills, performance tuning. Kubo IPFS node, private-swarm operation, gateway scaling. Let's Encrypt / ACME / Certbot. Load-balancing layer (to be chosen - HAProxy, Caddy, NGINX, ALB/NLB, etc.). Object storage (to be chosen - S3, GCS, R2, MinIO; mainly for non-IPFS payloads and backups). CI/CD (likely GitHub Actions, to be confirmed). Observability stack (likely Prometheus + Grafana + Loki + Sentry - to be introduced). IaC: Terraform or Ansible (to be introduced). One of AWS / GCP / Azure as the long-term cloud target - tbd Hard Skills - Must-Have: 5+ years professional Linux sysadmin / DevOps / SRE / Platform Engineering. Docker fluency: writing, debugging, and optimizing Dockerfiles and multi-service compose stacks. Networking fundamentals: DNS, TLS, HTTP semantics, reverse proxies, load balancers. Scripting: Bash plus at least one of Python (or similar like Go/Ruby). Hands-on CI/CD pipeline design with any modern system. Production operations experience - you have been on-call, you have written postmortems, you have designed a capacity plan. Familiarity with at least one major cloud (AWS, GCP, or Azure) including its load-balancing, object-storage, and managed-database primitives. Git fluency. Experience using AI coding assistants and agent-based workflows in real ops work. Strong written English - runbooks, RFCs, and postmortems are core deliverables. Hard Skills - Nice-to-Have: Kubernetes operational experience (CKA welcome but not required). Terraform or Ansible at intermediate-or-deeper depth. Multi-cloud literacy — you have shipped on more than one of AWS, GCP, Azure. Observability stacks: Prometheus, Grafana, Loki, OpenTelemetry, Sentry. Database operations beyond CRUD: replication, point-in-time recovery, query tuning. IPFS or other content-addressable / peer-to-peer storage operational experience. Security hardening - OWASP, basic pen-testing literacy, secrets-management tooling (Vault, SOPS, AWS SM). Cost engineering - you have right-sized a cloud bill before. Cloud or Kubernetes certifications. Soft Skills: Calm under outages - you reach for tail -f before you reach for blame. Pragmatism: you can tell when introducing Kubernetes is correct and when it is yak-shaving. Documentation discipline - if it isn't in a runbook, it doesn't exist. Comfortable saying "no" or "not yet" to premature complexity. 📜 Our Promise (what you can expect from us): 30-33k PLN on B2B 100% remote work 300 PLN to use on our benefits platform, Worksmile - gift cards, medical services, sports, etc. Our B2B contract contains provisions that allow you to obtain IP BOX support Integration events, education opportunities and much more… A unique opportunity to take your career to the next level - we’re looking for people who want to create an impact. You have ideas, we want to hear them! 📌 Recruitment process: 30 minute screening call online with our recruiter, Justyna Interview with CTO 1h technical interview Interview with CEO Offer Questions, insights? Feel free to reach out to our recruiting team: justyna.pazdalska@thecodest.co In the meantime, feel free to visit our website where you can find key facts about us.