Head of Cloud DevOps

🏢 Summary: DevOps Tech Lead role focused on leading two teams to design, build, and maintain scalable cloud infrastructure and data platforms on GCP. The position combines hands-on DevOps engineering with architecture oversight, ensuring reliable CI/CD pipelines, infrastructure as code, and secure cloud-native environments. Close collaboration with engineering and business stakeholders is required to deliver robust, production-ready solutions. 🗂️ Requirements: Proven experience in DevOps Engineer or DevOps Lead role, Strong hands-on experience with Google Cloud Platform, Experience designing and maintaining CI/CD pipelines, Advanced knowledge of Terraform and Infrastructure as Code, Experience with cloud-native and container-based environments, Understanding of solution architecture principles, Experience with authentication and identity management systems, Ability to lead technical discussions and guide DevOps teams 📃 Skills: GCP, GitHub, GitHubActions, AzureDevOps, Terraform, CI/CD, CloudRun, IaC, SSO, PingID, Containers 🏢 Description: About the Role We are looking for an experienced DevOps Tech Lead to guide and coordinate the work of two DevOps-focused teams responsible for building and maintaining modern cloud infrastructure and data platforms. In this role, you will combine technical leadership, architecture oversight, and hands-on DevOps expertise to ensure scalable, secure, and reliable delivery pipelines. You will work closely with engineering, data, and business stakeholders to translate requirements into robust technical solutions, while supporting teams in building and maintaining high-quality cloud environments. Key Responsibilities Technical Leadership Provide technical leadership for two DevOps teams working on cloud infrastructure, pipelines, and data platform components. Support engineers in designing scalable and maintainable cloud architectures. Guide teams in implementing best practices in DevOps, CI/CD, and infrastructure automation. Ensure consistency of architecture, tooling, and development standards across teams. DevOps & Cloud Engineering Design and oversee CI/CD pipelines using GitHub , GitHub Actions , and Azure DevOps . Build and maintain infrastructure on Google Cloud Platform , including services such as Google Cloud Run . Implement Infrastructure as Code using Terraform . Ensure reliable, automated deployment processes and maintain DevOps pipelines across environments. Support integration of authentication and identity services such as PingID and SSO solutions. Architecture & Data Platforms Contribute to solution architecture decisions for cloud-native platforms and data-driven systems. Support the development of data pipelines and analytical environments , particularly in domains related to life sciences or bioinformatics. Collaborate with architects and engineering teams to ensure alignment between architecture and delivery. Business & Stakeholder Collaboration Work closely with business analysts and stakeholders to translate business needs into technical solutions. Ensure clear communication between architecture, DevOps, and product teams. Facilitate technical discussions and support decision-making for complex technical challenges. Required Skills & Experience Proven experience in a DevOps Engineer, DevOps Lead, or DevOps Tech Lead role. Strong hands-on experience with Google Cloud Platform . Experience designing and maintaining CI/CD pipelines with GitHub , GitHub Actions , and Azure DevOps . Advanced knowledge of Terraform and Infrastructure as Code practices. Experience working with cloud-native services and container-based environments. Understanding of solution architecture principles . Experience working with authentication and identity management (SSO, PingID or similar tools). Strong problem-solving skills and ability to lead technical discussions. Experience collaborating with business stakeholders and cross-functional teams.

🏢 Summary: The offer is for a senior Cloud & DevOps professional responsible for designing and deploying scalable cloud-native applications and critical infrastructure. The role focuses on driving CI/CD automation, improving cloud architecture, and ensuring security and quality standards across delivery pipelines. It also involves mentoring teams and leading cloud adoption initiatives in an Agile environment. 🗂️ Requirements: Minimum 5 years experience in cloud-focused or DevOps role, Hands-on experience with Kubernetes, Docker, Terraform, Experience with at least one cloud provider (AWS/Azure/GCP/IBM), Strong knowledge of Jenkins, Ansible, ArgoCD, GitLab, Ability to design and manage CI/CD pipelines, Understanding of RESTful APIs, data quality, security protocols, Experience working with Agile methodologies (SCRUM/Kanban), Familiarity with JIRA and Confluence, Professional English communication skills 📃 Skills: Kubernetes, Docker, Terraform, AWS, Azure, GCP, IBM, Jenkins, Ansible, ArgoCD, GitLab, REST, SQL, PostgreSQL, SQLServer, Python, JavaScript, SpringBoot, Nuxt.js, Vue, JIRA, Confluence 🏢 Description: Responsibilities Design, deploy, and assess scalable native cloud applications and critical infrastructure components. Drive the evolution of CI/CD processes and build/deployment pipelines using Jenkins, Docker, Kubernetes, and GitLab . Consult and collaborate with cross-functional IT teams on cloud architecture, optimization, and security standards. Lead the implementation of test strategies and best practices to ensure high-quality delivery within automated pipelines. Support and mentor delivery teams in adopting new cloud initiatives, ensuring alignment with company security policies. Requirements Minimum 5 years of experience in a similar cloud-focused role with a strong problem-solving mindset. Expertise in Cloud & DevOps tools : Hands-on experience with Kubernetes, Docker, Terraform , and at least one major provider (AWS/Azure/GCP/IBM). Advanced CI/CD proficiency : Strong knowledge of Jenkins, Ansible, ArgoCD , and GitLab version control. Deep understanding of IT Architecture : Proven ability to handle RESTful APIs, Data Quality, and Security protocols. Strong Communication & Leadership : Ability to engage with stakeholders (IT, Business, Clients) in English (written and oral). Agile Mindset : Familiarity with SCRUM/Kanban and tools like JIRA/Confluence. Technical Versatility (Nice to have) : Proficiency in Python, JavaScript and experience with frameworks like SpringBoot or Nuxt.js/VUE . Data Management : Basic knowledge of SQL Server or PostgreSQL.

🏢 Summary: Executive-level DevSecOps leadership role responsible for defining and executing a global DevSecOps strategy in an AWS-based enterprise environment. The position owns security governance, automation, and compliance across the full SDLC, ensuring scalable and secure cloud operations. It includes leading international teams and driving large-scale DevSecOps transformation aligned with business objectives. 🗂️ Requirements: 10+ years experience in DevSecOps, DevOps, or Security Engineering, Leadership experience at Director, Head, or Lead level, Strong technical expertise in AWS and cloud architectures, Proven experience designing and executing DevSecOps strategies in large international organizations, Experience defining roadmaps, milestones, and KPIs, Deep knowledge of application and infrastructure security, Hands-on experience with CI/CD pipelines and automation, Experience enforcing security and compliance standards across SDLC, Experience managing global DevSecOps teams, Fluent English 📃 Skills: AWS, Azure, DevSecOps, DevOps, Security, Cloud, CICD, SDLC, Automation, Compliance, Governance 🏢 Description: Responsibilities: Full ownership of defining, implementing, and enforcing a global DevSecOps strategy within an AWS-based organization. Building and maintaining a long-term DevSecOps transformation roadmap, including key milestones, KPIs, and execution control mechanisms. Oversight of security standard implementation across the entire Software Development Life Cycle (SDLC), with emphasis on automation and scalability. Establishing and enforcing governance in security, compliance, and DevOps practices across the entire organization. Close collaboration with C-level executives, architecture teams, and engineering teams to ensure full technical and business alignment. Monitoring process effectiveness, identifying risks, and implementing corrective actions at a global scale. Managing distributed, international DevSecOps teams, including leadership development and building high-performance structures. Accountability for audits, regulatory compliance, and continuous improvement of production environment security. Requirements: Extensive experience (10+ years ) in DevSecOps, DevOps, or Security Engineering, including leadership-level roles (Director, Head, Lead). Strong technical background in AWS and modern cloud architectures. Proven track record of designing and executing DevSecOps strategies in large, complex, international organizations. Experience in defining roadmaps, milestones, KPIs, and managing organizational-level delivery. Deep understanding of application security, infrastructure security, CI/CD , automation, and compliance domains. Experience working in global environments and collaborating with executive-level stakeholders. Strong risk management skills, strategic decision-making ability, and enforcement of standards. Fluent English in a multinational working environment. Experience with Azure considered a strong advantage.

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

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

🏢 Summary: Remote AI Lead DevOps Engineer role responsible for defining and executing the MLOps and CI/CD strategy for enterprise AI platforms. The position focuses on architecting secure, compliant, and fully automated ML lifecycle governance, ensuring auditability, reproducibility, and large-scale reliability. The role combines technical leadership with hands-on design of cloud-native, DevSecOps-driven AI infrastructure. 🗂️ Requirements: 8–10 years DevOps or Cloud Engineering experience, Minimum 3 years in technical leadership or architect role, Strong knowledge of end-to-end ML lifecycle, Expertise in CI/CD pipeline design and implementation, Advanced Infrastructure as Code experience, Experience with SAST and DAST implementation, Strong IAM and access control management in cloud, Ability to design observability frameworks for ML systems, Experience with configuration management in multi-cloud environments, Knowledge of database scaling and security, Experience implementing model governance and auditability practices 📃 Skills: MLOps, CI/CD, DevSecOps, Azure, AzureDevOps, GitHubActions, Jenkins, Terraform, CloudFormation, SAST, DAST, IAM, Ansible, Puppet, MySQL, PostgreSQL, MongoDB, Observability, Git 🏢 Description: This is a remote position. We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale. Key Responsibilities: Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account. Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production. Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations. Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails. Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies. Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture. Requirements 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role. Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops). Mastery across Azure DevOps, GitHub Actions, and Jenkins. Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments. Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment. Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI. Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments. Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB. Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs). Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality. Native or C1-level English, with the ability to present technical strategies to senior stakeholders. Benefits Professional training programs Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row

🏢 Summary: Role for an experienced DevOps / Cloud Engineer to design, implement, and maintain scalable AWS cloud infrastructure with strong focus on automation, CI/CD, and container orchestration. The position involves infrastructure as code, microservices support, performance optimization, and secure cloud deployments in an Agile environment. 🗂️ Requirements: Minimum 5 years experience as Cloud DevOps Engineer or Cloud Engineer, Proficiency with core AWS services (IAM, networking, storage, API Gateway, serverless, monitoring), Experience building infrastructure using Terraform, Experience with CI/CD tools (GitHub Actions preferred), Experience with microservices (AWS ECS, Kubernetes), Experience with scripting (Bash, Python), Experience with GitHub and pull request workflows, Experience with Jira and Agile (Scrum), Ability to implement security and governance standards, Experience writing unit tests and working with CI/CD pipelines 📃 Skills: AWS, IAM, Networking, Storage, APIGateway, Serverless, Monitoring, Terraform, CICD, GitHubActions, GitHub, Jira, Kubernetes, ECS, Microservices, Bash, Python, Scrum 🏢 Description: DevOps / Cloud Engineer (AWS) We are looking for an experienced DevOps / Cloud Engineer to join our team and support the design, implementation, and maintenance of scalable, high-performance cloud infrastructure on AWS. This role combines infrastructure engineering, automation, CI/CD, container orchestration, and performance optimization in modern cloud environments. Responsibilities In particular, the services to be provided under the contract comprise the following: compliance with company standards reviewing development backlog in Jira, picking up the next priority Development backlog item/user story, writing the code to fulfil the functional and non-functional aspects of the backlog item, writing unit tests to cover the acceptance criteria for the backlog item, submit a pull request to check in the code into GitHub, address any peer review feedback coming from the pull request review, trigger the CI/CD pipeline to deploy the new feature into the test environment. Requirements Polish – C2, English C1 minimum of 5 years of experience as a Cloud DevOps Engineer or Cloud Engineer proficiency with core AWS services, including IAM, networking, storage, API Gateways, AWS Serverless, monitoring, etc. ability to set up cloud infrastructure using Terraform, following best practices experience with CI/CD tools (preferably GitHub Actions) strong focus on adherence to security, development, and governance standards experience in troubleshooting and working with microservices (AWS ECS, Kubernetes) experience in scripting languages (Bash, Python) experience collaborating with various stakeholders (architects, security teams, business) experience working in an Agile environment (e.g. Scrum) strong communication and interpersonal skills commitment to quality, documentation, and adherence to standards across teams and the organization What we offer: The opportunity to participate in a variety of projects. Remote work from any location, or a hybrid model using our offices located in Poznań. A home office package to increase remote work comfort (chair, additional monitor, ergonomic mouse, etc.). Modern offices equipped with amenities such as a pool table, foosball, darts, and relaxation zones. Opportunities to spend time together after work - combining our employees’ passions through ski trips, cycling tours, and sailing adventures. Regular company-wide and team-based integration events, as well as many other occasions to meet and exchange ideas with colleagues. Celebrations of important moments in the lives of our employees An open approach to new ideas and initiatives, including charity actions.

🏢 Summary: DevOps Engineer role focused on building, scaling, and securing cloud infrastructure while enabling efficient CI/CD workflows. The position involves managing Kubernetes-based environments on AWS, optimizing automation, and ensuring high availability and performance of systems. The role also includes infrastructure as code, monitoring, database management, and secure authentication integration. 🗂️ Requirements: BA/BS in technical field or equivalent experience, 5+ years in DevOps, SRE, or Infrastructure Engineering, Strong experience with Kubernetes, Deep knowledge of AWS core services, Experience with containerization technologies, Strong understanding of networking concepts, Proficiency with infrastructure-as-code tools, Experience with monitoring tools, Strong scripting or programming skills, Solid understanding of system security best practices 📃 Skills: Kubernetes, AWS, EC2, S3, IAM, RDS, Docker, Helm, Terraform, Pulumi, CloudFormation, Prometheus, Grafana, CloudWatch, Python, Bash, Go, PostgreSQL, SAML, OAuth2, OIDC, ELK, Loki, FluentBit, GitHubActions, Jenkins, CircleCI, Ansible, EKS, GKE 🏢 Description: We are looking for a skilled and driven DevOps Engineer to join our growing team. In this role, you will take ownership of building, maintaining, and scaling the infrastructure that powers our platform. You will ensure our systems are secure, performant, and highly available, while enabling seamless development and deployment workflows. Responsibilities: Design, implement, and manage scalable infrastructure using Kubernetes and AWS. Optimize CI/CD pipelines to improve build and deployment times and reduce friction. Monitor and troubleshoot infrastructure performance and availability. Manage and maintain relational databases, primarily PostgreSQL. Implement and support secure authentication systems using SSO protocols (e.g., SAML, OIDC, OAuth2). Enhance infrastructure as code using tools like Terraform and Ansible. Ensure security best practices are applied across all infrastructure components. Collaborate cross-functionally with development, QA, and product teams. Drive automation of operational tasks to increase team efficiency and reduce manual toil. Required Skills: BA/BS in a technical or engineering discipline or equivalent experience 5+ years of experience in a DevOps, SRE, or Infrastructure Engineering role. Strong experience with Kubernetes (EKS, GKE, or self-managed). Deep knowledge of AWS core services (EC2, S3, IAM, RDS, etc.). Knowledge of containerization technologies (e.g., Docker, Kubernetes, Helm) Solid understanding of networking concepts (VPCs, subnets, routing, firewalls, DNS). Proficiency with infrastructure-as-code tools (Terraform, Pulumi, or CloudFormation). Comfortable with monitoring tools (Prometheus, Grafana, CloudWatch, etc.). Strong scripting or programming ability (Python, Bash, or Go). Solid understanding of system security and best practices. Preferred Skills: Familiarity with SSO protocols such as SAML, OAuth2, and OpenID Connect. Experience managing and tuning PostgreSQL in production environments. Exposure to log aggregation tools (ELK, Loki, or Fluent Bit). Experience with CI/CD tools like GitHub Actions, Jenkins, or CircleCI. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.