Site Reliability Engineer

🏢 Summary: Design and scale next-generation observability and logging solutions within an international DevOps team, focusing on building high-scale monitoring platforms and cloud-native infrastructure from the ground up. The role combines architecture, infrastructure as code, and reliability engineering for distributed systems. You will drive metrics, logging, tracing, and alerting solutions in a collaborative environment. 🗂️ Requirements: Hands-on experience with Prometheus and Grafana, Experience scaling observability tools such as Thanos or Mimir, Experience managing ELK stack or Loki logging platforms, Strong proficiency in Terraform and Terragrunt, Deep understanding of Kubernetes, Experience with distributed systems observability (metrics, logs, traces), Full professional proficiency in English 📃 Skills: Prometheus, Grafana, Thanos, Mimir, ELK, Loki, Terraform, Terragrunt, Kubernetes, Python, Go, GitHubActions, Puppet 🏢 Description: The Opportunity Join a high-performing, international team of six DevOps experts. This is not a "maintenance-only" role. You will have a seat at the table in designing, building, and scaling our next-generation observability and logging solutions from the ground up. We believe in "Attitude First." If you are an ambitious engineer who thrives on collaboration, knowledge sharing, and solving complex distributed systems challenges, we want to grow with you. Key Responsibilities Architect & Build: Design and implement end-to-end observability solutions, including metrics, logging, tracing, and advanced alerting. Platform Excellence: Operate and optimize high-scale monitoring platforms (Prometheus, Mimir, Grafana) and ELK stack logging infrastructure. Infrastructure as Code: Define and maintain all observability systems using Terraform and Terragrunt . Reliability Engineering: Ensure the scalability and performance of our systems while supporting incident detection and root cause analysis (RCA). Collaborate: Work across domains with a team that values mentoring, transparency, and collective problem-solving. Your Technical Core Observability Expert: Solid hands-on experience with Prometheus, Grafana, and scaling tools like Thanos or Mimir . Logging Architect: Proven experience managing enterprise-grade logging platforms (ELK stack or Loki). IaC Ninja: Strong proficiency in Terraform/Terragrunt to manage infrastructure. Cloud Native: Deep understanding of Kubernetes and the complexities of metrics/logs/traces in distributed systems. Language: Full proficiency in English for seamless global collaboration. Stand Out From The Crowd (Nice to Have) Coding: Ability to automate and integrate using Python or Go . CI/CD: Exposure to GitHub Actions and automated workflows. Configuration Management: Experience with Puppet. SRE Mindset: Understanding of Service Level Indicators (SLIs), Objectives (SLOs), and Error Budgets.

🏢 Summary: Engineering role focused on building and scaling observability and automation solutions for a global, high-performance trading network. The position involves designing telemetry, monitoring, and alerting systems while driving automation to improve reliability and operational efficiency. You will troubleshoot complex network environments and develop infrastructure tooling using Python and Infrastructure-as-Code practices. 🗂️ Requirements: Hands-on experience with network observability and automation, Practical experience with Prometheus, Grafana, Telegraf, Experience with gNMI, YANG, CiscoTelemetry, Experience with Zabbix, LibreNMS, SNMP environments, Strong Python scripting skills, Experience with Ansible, Jinja, Git, Experience with Terraform and Infrastructure-as-Code, Familiarity with NetBox, NETCONF, RESTCONF, Experience with AWS cloud networking, Strong knowledge of BGP, OSPF, PIM, IGMP, Proven troubleshooting skills in large-scale network environments 📃 Skills: Python, Ansible, Jinja, Git, Terraform, NetBox, NETCONF, RESTCONF, Prometheus, Grafana, Telegraf, Zabbix, LibreNMS, SNMP, gNMI, YANG, CiscoTelemetry, AWS, BGP, OSPF, PIM, IGMP, Telemetry, Observability, Automation 🏢 Description: Join a team building and evolving observability and automation capabilities for a global, high-performance multi-vendor trading network. This role is ideal for an engineer passionate about scalable monitoring, telemetry, automation, and operational excellence in complex network environments. What you’ll do: Build and enhance network observability platforms and automation frameworks Design scalable telemetry, monitoring, and alerting solutions across a global infrastructure Drive automation initiatives to improve network reliability, visibility, and operational efficiency Develop tooling and infrastructure integrations using Python and Infrastructure-as-Code principles Collaborate with technology and investment teams to deliver resilient business-critical solutions Troubleshoot complex network and observability issues in large-scale environments What we’re looking for: Strong hands-on experience with network observability and automation Practical expertise with modern observability stack: Prometheus, Grafana, Telegraf, telemetry technologies (gNMI, YANG, Cisco Telemetry) Experience with monitoring platforms such as Zabbix, LibreNMS, and SNMP-based environments Strong scripting and automation skills using Python, Ansible, Jinja, and Git Familiarity with automation and infrastructure tooling including Terraform, NetBox, NETCONF, and RESTCONF Experience supporting cloud networking environments (AWS preferred) Good understanding of networking fundamentals and protocols such as BGP, OSPF, PIM, and IGMP Proven troubleshooting skills within complex, large-scale infrastructure environments Who you are: Passionate about observability, automation, and scalable infrastructure Proactive, self-driven, and eager to continuously improve systems and processes Comfortable operating in fast-paced, mission-critical environments Strong communicator and collaborative problem solver

🏢 Summary: The offer is for an Observability Specialist responsible for designing, implementing, and maintaining a scalable telemetry and monitoring infrastructure in cloud-native environments. The role focuses on Kubernetes observability, Elastic Stack management, and performance optimization using modern telemetry standards. It involves driving SRE practices and ensuring high system reliability through advanced monitoring and AIOps solutions. 🗂️ Requirements: Experience monitoring Kubernetes (OpenShift) environments, Hands-on implementation of OpenTelemetry for logs, traces, and metrics, Strong expertise in ELK stack deployment and maintenance, Proficiency in automating Elastic environments using Ansible, Experience with Application Performance Monitoring for code-level analysis, Knowledge of shard optimization, mapping, and Index Lifecycle Management, Experience defining and monitoring SLOs and managing Error Budgets, Integration of observability solutions with major cloud providers 📃 Skills: Kubernetes, OpenShift, OpenTelemetry, Elasticsearch, Logstash, Kibana, Ansible, ElasticAPM, AIOps, SRE, ILM, Sharding, Mapping, Cloud 🏢 Description: Introduction & Summary We are seeking an experienced Observability Specialist dedicated to ensuring the reliability and performance of our systems. This role involves collaborating with enterprise architects and IT professionals to design, implement, and oversee a scalable telemetry infrastructure. The ideal candidate will possess deep expertise in ELK or similiar technologies and modern telemetry standards. Main Responsibilities As our Observability Engineer, your core duties will include: Architectural Collaboration: Partner with system architects and local engineering teams in Denmark to design resilient monitoring solutions. Monitor Kubernetes environments with OpenTelemetry (OTel) standards for logs, traces, and metrics. Manage centralized data collection and automate Elastic deployments using Ansible. Utilize Elastic APM for identifying code-level bottlenecks and resolving latency issues. Implement AIOps configurations for proactive anomaly detection and automated root-cause analysis. Drive Site Reliability Engineering (SRE) methodologies across teams. Elastic Stack Management: Deploy, scale, and maintain Elasticsearch, Logstash, and Kibana (ELK) environments. Key Requirements Cloud-Native Observability: Strong skills in monitoring Kubernetes (Openshift) environments and integrating with major cloud providers. APM & Distributed Tracing: Expertise in Application Performance Monitoring (APM) to identify code-level bottlenecks and latency issues. OpenTelemetry (OTel): Hands-on experience implementing OpenTelemetry (or similiar) standards for logs, traces, and metrics to ensure vendor-neutral telemetry. Infrastructure as Code (IaC): Proficiency in automating Elastic environments with Ansible. Performance Engineering: Expert-level knowledge of shard optimization, mapping, and Index Lifecycle Management (ILM) to balance high performance with cost control. SRE Methodology: Experience defining and monitoring Service Level Objectives (SLOs) and managing Error Budgets. Strong communication skills for collaboration with IT teams. NIce to Have: Elastic Stack Mastery: Deep expertise in architecting and managing Elasticsearch, Logstash, and Kibana (ELK) at scale. Data Ingestion & Fleet: Proven experience deploying Elastic Agent and Fleet for centralized agent management and data collection. AIOps & Machine Learning: Ability to configure Elastic ML models for proactive anomaly detection and automated root cause analysis. Other Details This is position based in Warsaw, flexible Hybrid model, focused on leading-edge observability solutions in a dynamic and collaborative environment.

🏢 Summary: The role focuses on ensuring reliability, scalability, and performance of large-scale cloud-based applications by building and maintaining resilient infrastructure. You will manage AWS cloud environments, Kubernetes clusters, and CI/CD pipelines while implementing monitoring, automation, and incident response processes. The position emphasizes Infrastructure-as-Code, observability, and continuous reliability improvements. 🗂️ Requirements: 5+ years experience in SRE, DevOps or similar role, Strong experience with AWS cloud services, Experience with Infrastructure-as-Code tools, Hands-on experience with Kubernetes, Proficiency with Docker, Experience with CI/CD pipelines, Solid knowledge of PostgreSQL or Amazon RDS, Strong SQL knowledge, Knowledge of networking concepts (VPC, DNS, troubleshooting), Strong Linux/Unix administration skills, Experience with observability tools, Experience with automation in infrastructure, Experience with incident management 📃 Skills: AWS, Terraform, Pulumi, Kubernetes, EKS, Docker, GitHub, PostgreSQL, RDS, SQL, VPC, DNS, Linux, Unix, Prometheus, Grafana, Datadog, Dynatrace, CI/CD 🏢 Description: We are looking for an experienced Site Reliability Engineer to ensure the reliability, scalability, and performance of large-scale cloud-based web applications. You will work closely with software development, cloud operations, and platform teams to build and maintain resilient infrastructure and improve system stability. Key Responsibilities: Design and maintain monitoring, alerting, and incident response systems to ensure high availability Collaborate closely with engineering, product, and architecture teams Build and manage cloud infrastructure using Infrastructure-as-Code (e.g., Terraform, Pulumi) on AWS Operate and optimize Kubernetes environments (e.g., EKS) Develop and maintain containerized applications using Docker Improve CI/CD pipelines and drive automation across deployment processes Implement and manage observability tools (logging, metrics, tracing) Participate in incident management, postmortems, and reliability improvements Support capacity planning, disaster recovery, and system scaling Contribute to security, compliance, and operational best practices Develop automation and AI-driven solutions for monitoring and incident prevention Requirements: 5+ years of experience in SRE, DevOps, or similar roles Strong experience with AWS cloud services and Infrastructure-as-Code tools Hands-on experience with Kubernetes and containerized environments Proficiency in Docker and CI/CD pipelines (e.g., GitHub Actions) Solid understanding of databases (e.g., PostgreSQL, Amazon RDS) and SQL Knowledge of networking concepts (VPC, DNS, troubleshooting tools like dig/traceroute) Strong Linux/Unix administration skills Experience with observability tools (e.g., Prometheus, Grafana, Datadog, Dynatrace) Familiarity with automation and AI-based solutions in infrastructure Strong problem-solving and incident management skills

🏢 Summary: Hands-on Site Reliability Engineer role focused on ensuring stability, scalability, and observability of a mission-critical distributed risk and analytics platform in hybrid cloud environments. The position centers on production reliability, incident response, automation, and continuous improvement of monitoring and deployment processes. You will collaborate with engineering teams to strengthen system resilience, performance, and operational standards. 🗂️ Requirements: Strong Java experience in distributed systems, Experience with observability and monitoring tools, Hands-on experience with hybrid cloud environments (preferably GCP), Experience with CI/CD pipelines and automation tools, Solid knowledge of Linux systems administration, Understanding of RDBMS fundamentals, Experience with job schedulers (e.g., Control-M), Ability to lead incident response and root-cause analysis 📃 Skills: Java, Grafana, Prometheus, Loki, OpenTelemetry, GCP, Jenkins, Ansible, Linux, SQL, Control-M, CI/CD 🏢 Description: We’re looking for a seasoned Site Reliability Engineer to support a high‑performance, mission‑critical risk and analytics platform used across global trading and finance environments. You’ll play a key role in ensuring the stability, scalability, and observability of complex distributed systems running across hybrid cloud infrastructure. In this role, you’ll take ownership of production reliability driving incident response, conducting root‑cause analysis, improving monitoring capabilities, and delivering automation that reduces operational toil. You’ll work closely with development teams, platform engineers, and service management leads to strengthen resilience, refine processes, and enhance the engineering culture around availability and performance. This is a hands on technical position suited to someone who thrives in high‑throughput environments, communicates clearly, and enjoys solving deep engineering problems in real time. Core Responsibilities Maintain and improve the reliability, uptime, and performance of distributed applications. Lead incident response, triage complex issues, coordinate recoveries, and deliver structured post‑incident reviews. Enhance observability—designing and evolving monitoring, alerting, logging, and tracing frameworks. Drive continuous improvement across automation, deployment processes, and service stability. Collaborate with cross‑functional teams to influence architecture, design, and operational standards. Support CI/CD pipelines, environment configuration, and vulnerability remediation. Contribute to a knowledge‑driven culture through documentation, tooling, and best‑practice adoption. Required Skills & Experience Strong Java background with proven experience supporting or developing distributed systems. Observability tooling expertise (Grafana, Prometheus, Loki, OpenTelemetry or similar). Hands‑on with hybrid cloud environments , ideally with GCP or another major cloud provider. CI/CD and automation experience (e.g., Jenkins, Ansible). Solid understanding of Linux , RDBMS fundamentals , and job schedulers (e.g., Control‑M or equivalents). Strong analytical mindset with a methodical approach to troubleshooting. Excellent communication skills and comfort working in Agile teams.

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms that support large-scale data processing systems. The position combines hands-on engineering and strategic impact to ensure scalable, secure, and reliable production environments. You will design, automate, and optimize platform services enabling efficient delivery of data-driven applications. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting distributed production systems, Hands-on experience with public cloud platforms, Strong knowledge of containerization and orchestration, Experience with infrastructure as code, Strong scripting or programming skills, Experience building and maintaining CI/CD pipelines, Knowledge of observability practices and tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, CI/CD, Linux, Monitoring, Logging, Alerting 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

🏢 Summary: Senior DevOps Engineer role focused on owning and evolving cloud-native infrastructure and CI/CD platforms supporting large-scale data processing systems. The position combines hands-on engineering with strategic platform development to ensure scalable, secure, and reliable production environments. You will design, automate, and maintain infrastructure and observability solutions across distributed systems. 🗂️ Requirements: 5+ years in DevOps, SRE, or infrastructure engineering, Experience supporting production systems in distributed environments, Hands-on experience with public cloud platforms (AWS or similar), Strong knowledge of Docker and Kubernetes, Experience with infrastructure as code tools (Terraform), Strong scripting/programming skills (Python or Bash), Experience building and maintaining CI/CD pipelines, Knowledge of observability, monitoring, and logging tools, Strong troubleshooting and incident response skills in Linux environments 📃 Skills: AWS, Docker, Kubernetes, Terraform, Python, Bash, Linux, CICD, Observability, Automation, Infrastructure, Cloud 🏢 Description: Senior DevOps Engineer We are looking for an experienced engineer to take ownership of our infrastructure and platform ecosystem, supporting large-scale data processing systems and enabling efficient, reliable software delivery. This role combines hands-on engineering with strategic impact — you will design, build, and evolve the platform that underpins data pipelines and production services, ensuring scalability, security, and operational excellence across environments. Key Responsibilities Own and evolve CI/CD and automation platforms to support fast and reliable delivery of data-driven applications Design and manage cloud-native infrastructure supporting high-volume data ingestion, processing, and serving Build and maintain infrastructure as code to ensure consistency and scalability across environments Manage containerized environments and orchestration platforms to deliver resilient and scalable services Implement observability solutions (monitoring, logging, alerting) to ensure full system visibility and reliability Automate deployment processes, configuration management, and system recovery workflows Collaborate with engineering, data, and compliance teams to deliver secure and production-ready solutions Drive incident management practices and continuous improvement initiatives Contribute to platform strategy, tooling decisions, and mentoring within the team Requirements 5+ years of experience in DevOps, SRE, or infrastructure engineering roles Strong experience supporting production systems in distributed environments Hands-on experience with public cloud platforms (AWS or similar) Solid knowledge of containerization and orchestration technologies (Docker, Kubernetes) Experience with infrastructure as code tools (e.g., Terraform) Strong scripting/programming skills (Python, Bash, or similar) Experience building and maintaining CI/CD pipelines and automation tooling Knowledge of observability practices and tools Strong troubleshooting and incident response skills in Linux environments Excellent communication skills and ability to work cross-functionally Nice to Have Experience working with large-scale data platforms Exposure to regulated environments or compliance requirements Experience contributing to platform or engineering standards

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

🏢 Summary: Senior AWS DevOps Engineer role focused on designing, automating, and maintaining scalable cloud infrastructure and CI/CD pipelines for distributed applications. The position involves managing Kubernetes environments, implementing Infrastructure as Code, and improving reliability, security, and observability across AWS platforms. You will collaborate with engineering teams to enhance deployment processes and ensure high availability of production systems. 🗂️ Requirements: 5+ years DevOps or Cloud Engineering experience, Strong hands-on experience with AWS services, Experience with Kubernetes and containerized environments, Strong experience with Terraform and Infrastructure as Code, Experience building and maintaining CI/CD pipelines, Strong Linux administration skills, Scripting skills in Bash or Python, Experience with monitoring and logging tools, Knowledge of networking, security, and IAM, Experience with Git-based workflows 📃 Skills: AWS, Kubernetes, EKS, Docker, Terraform, CloudFormation, CICD, Linux, Bash, Python, CloudWatch, Prometheus, Grafana, ELK, Datadog, Git, IAM, Jenkins, GitHub, GitLab, AzureDevOps, Helm, ArgoCD, Serverless, Networking, Security 🏢 Description: About the Role We are looking for a Senior AWS DevOps Engineer to join a fast-paced international engineering team. The ideal candidate will be responsible for designing, implementing, automating, and maintaining cloud infrastructure and CI/CD ecosystems for highly scalable distributed applications. You will work closely with development, security, and infrastructure teams to improve deployment processes, system reliability, scalability, and operational efficiency across cloud environments. Key Responsibilities Design, build, and maintain scalable AWS cloud infrastructure Implement and optimize CI/CD pipelines for automated deployments Manage Kubernetes clusters and containerized workloads Develop Infrastructure as Code (IaC) solutions using Terraform or CloudFormation Improve system observability, monitoring, logging, and alerting Automate operational and deployment processes Ensure high availability, performance, and security of production systems Collaborate with development teams to support cloud-native application delivery Participate in troubleshooting, incident response, and root cause analysis Support platform reliability, scalability, and disaster recovery initiatives Required Skills & Experience 5+ years of experience in DevOps / Cloud Engineering roles Strong hands-on experience with AWS services Experience with Kubernetes (EKS preferred) and Docker Strong experience with Terraform and Infrastructure as Code Experience building and maintaining CI/CD pipelines Strong Linux administration and scripting skills (Bash/Python) Experience with monitoring and logging tools such as CloudWatch, Prometheus, Grafana, ELK, Datadog, etc. Experience with Git-based workflows and automation tools Good understanding of networking, security, IAM, and cloud best practices Experience working in Agile/Scrum environments Strong troubleshooting and communication skills Nice to Have AWS Certifications Experience with GitHub Actions, GitLab CI, Jenkins, or Azure DevOps Experience with serverless architectures Exposure to multi-cloud environments (AWS/Azure) Knowledge of security and compliance frameworks Experience with Helm, ArgoCD, or service mesh technologies

🏢 Summary: The role focuses on designing and implementing automation solutions for cloud and virtualized infrastructure environments. It involves building scalable systems using scripting, containerization, and orchestration technologies to improve reliability and deployment speed. The position emphasizes cloud platform management, workflow automation, and infrastructure optimization. 🗂️ Requirements: Bachelor’s degree in Computer Science, Information Technology, or related field, Strong programming skills in Python, Hands-on experience with Kubernetes and Docker, Practical experience with VMware virtualization, Experience with OpenStack cloud platforms, Knowledge of Apache Airflow, Solid understanding of Linux systems, Understanding of networking fundamentals, Experience with cloud and infrastructure automation 📃 Skills: Python, Kubernetes, Docker, VMware, OpenStack, Airflow, Linux, Networking 🏢 Description: Position Overview We are looking for a skilled Cloud Automation Engineer to join our team and support the design, automation, and optimization of cloud and virtualized infrastructure environments. The ideal candidate has strong scripting skills, hands-on experience with containerization and orchestration technologies, and a solid understanding of cloud platforms and automation frameworks. This role focuses on building scalable, automated solutions that improve infrastructure reliability, efficiency, and deployment speed. Roles and Responsibilities: Design, develop, and maintain automation solutions for cloud and virtualized environments. Build and optimize automation scripts and services using Python . Deploy and manage containerized applications using Docker and Kubernetes . Support and automate infrastructure running on VMware and OpenStack platforms. Implement and maintain workflow orchestration solutions using Apache Airflow . Collaborate with network and security teams to automate firewall rules, network configurations, and policy enforcement. Work with enterprise storage solutions to automate provisioning, scaling, and lifecycle management. Improve CI/CD and infrastructure automation processes. Monitor, troubleshoot, and optimize cloud and containerized environments. Collaborate with DevOps, infrastructure, and development teams to enhance platform reliability and scalability. Create and maintain technical documentation for automation processes and systems. Required Skills and Experience: Bachelor’s degree (minimum Licencjat or equivalent) in Computer Science, Information Technology, or a related field . Strong programming skills in Python . Hands-on experience with Kubernetes and Docker . Practical experience with VMware virtualization environments. Experience working with OpenStack cloud platforms. Knowledge of Apache Airflow for workflow orchestration. Solid understanding of Linux systems and networking fundamentals. Strong analytical and problem-solving skills. Ability to work independently and as part of a technical team. Nice to Have: Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible). Familiarity with CI/CD pipelines and DevOps practices. Knowledge of monitoring and logging tools. Cloud certifications or Kubernetes certifications.