Cloud Engineer/MLOps Developer

🏢 Summary: Contract role for a Senior Data Engineer with strong MLOps expertise to design and maintain end-to-end data and ML pipelines in Azure Databricks. The position focuses on building reproducible training and deployment workflows, implementing data quality and monitoring frameworks, and optimizing performance and cost in production environments. The engineer will also ensure security, compliance, and infrastructure consistency using IaC and CI/CD practices. 🗂️ Requirements: Senior-level experience in Data Engineering, Strong MLOps background, Hands-on experience with Azure Databricks (Workflows, Delta Lake, Unity Catalog), Proficiency in PySpark and SQL Warehouses, Experience building production-grade data and ML pipelines, Experience with CI/CD pipelines (GitHub Actions or Azure DevOps), Experience with monitoring and ML observability tools, Knowledge of data quality frameworks and drift detection, Experience with security, access management and compliance in data/ML environments, Experience with Infrastructure as Code using Terraform 📃 Skills: Azure, Databricks, PySpark, SQL, DeltaLake, UnityCatalog, CI/CD, GitHubActions, AzureDevOps, Lakeview, Grafana, Terraform, MLOps, IaC 🏢 Description: Senior Data Engineer / MLOps Remote, Poland B2B till August 160–180 PLN/h Responsibilities Design & maintain end-to-end data & ML pipelines (Databricks Workflows, Delta Lake, Unity Catalog) Build reproducible training & deployment workflows (experiment tracking, model registry, artifact management) Implement data quality frameworks, observability metrics, dashboards (Lakeview, Grafana) Automate ingestion & feature pipelines via PySpark, SQL Warehouses, DAB within CI/CD Manage security, access control & compliance in data/ML environments Optimize compute performance & cost (autoscaling, spot instances, caching, partitioning) Develop automated evaluation & validation pipelines (new telemetry, reproducibility, traceability) Maintain continuous model & data monitoring (drift, feature stability, prediction quality) Ensure environment consistency via IaC & containerization (Terraform) Requirements Senior Data Engineer + solid MLOps background Azure Databricks (Workflows, Delta Lake, Unity Catalog) PySpark, SQL Warehouses, production-grade pipeline development CI/CD (GitHub Actions / Azure DevOps) Monitoring tools (Lakeview, Grafana), ML observability Data quality, drift detection, ML monitoring Security, access management & compliance in data/ML ecosystems Terraform / IaC

🏢 Summary: The role involves owning the full MLOps lifecycle for an AI-powered sports highlights platform, from model research and training to production deployment and scalable cloud infrastructure. You will build and maintain ML pipelines, automate workflows across Computer Vision and NLP, and ensure reliable CI/CD processes in a high-uptime environment. 🗂️ Requirements: 4+ years experience in MLOps, DevOps, ML Engineering or similar role, Experience in large-scale, high-uptime production cloud environments, Strong knowledge of Linux, Experience with Docker, Experience with Kubernetes, Experience building CI/CD pipelines for distributed systems, Proficiency in Python scripting, Experience with Terraform, Understanding of machine learning fundamentals and frameworks 📃 Skills: Python, Linux, Docker, Kubernetes, Terraform, CI/CD, ClearML, W&B, SageMaker, Azure, ComputerVision, NLP, MLOps 🏢 Description: We’re seeking a skilled and motivated MLOps Engineer to join a fast-moving team building an AI-powered platform for automatic sports highlights generation. In this role, you’ll take ownership of the full MLOps lifecycle—from research and model training to production deployment and scalable infrastructure. You’ll design and maintain robust ML pipelines, automate workflows across Computer Vision, NLP, and Data Science, and build reliable CI/CD processes that keep high-uptime systems running smoothly. Your work will help deliver cutting-edge AI experiences at cloud scale, powering innovation and performance across the entire platform. Responsibilities Own and manage every aspect in the MLOps life cycle for our AI-based automatic sports highlights generation platform Design, implement and maintain our whole ML infrastructure, from research to production and from model training to data engineering Automate and innovate workflows such as serving and training pipelines for multidisciplinary ML algorithms including Computer Vision, NLP and Data Science Build and maintain CI/CD pipelines, releases and Source Code workflows Requirements 4+ years of experience as an MLOps engineer, DevOps engineer, ML Engineer, or in a similar field Experience in a large, complex, large-scale, high-uptime production Cloud environment Core understanding of Linux OS, Docker components, and Kubernetes Experience with CI/CD pipelines for distributed production systems Experience with Python scripting Work experience with Terraform Working with MLOps platforms such as Experiment Tracking, Model Registry, feature Store - an advantage (e.g ClearML , W&B, Aws Sagemaker) Highly motivated, goal-driven, innovative, curious, and open-minded Will be a plus Working with Azure Cloud in a high-scale production environment Understanding of AI and machine learning fundamentals, concepts and frameworks What we offer Competitive salary range Medical insurance Paid vacation and sick leaves MultiSport card Top equipment kit, co-workings Hybrid set of works (Office location: Warsaw) Collaborative and innovative work environment Career growth and development opportunities A chance to work with giants of the sports industry About the project Our partner leads the industry in generating dynamic sports videos for every digital destination. Their cutting-edge AI and Machine Learning technologies analyse live sports broadcasts from over 250 leagues and broadcast partners, including iconic names like the NBA, NHL, ESPN, FIBA and Bundesliga, to create personalized, short-form videos in real-time. The solution empowers media rights owners to unlock new revenue streams and deliver a tailored fan experience across every digital platform. Join the high-profile Engineering team and discover the forefront of sports content innovation.

🏢 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: The offer is for a Senior Cloud Native Developer to design and deliver scalable, secure cloud-native applications with AI at the core. The role focuses on Python-based microservices, cloud platforms, infrastructure automation, observability, and building AI-powered solutions such as LLM applications and RAG pipelines. It combines deep software engineering expertise with hands-on cloud and AI integration experience. 🗂️ Requirements: 3+ years of hands-on software development experience with strong focus on Python, Proven experience designing, developing and deploying microservices applications, Strong knowledge of cloud-native principles, Hands-on experience with cloud services including containerization and serverless computing, Deep experience with at least one cloud platform: Azure, AWS or GCP, Experience implementing application monitoring and logging, Practical experience with AI-powered development tools, Experience building AI-integrated solutions using LLM APIs, RAG pipelines or AI agents, English proficiency at Upper-Intermediate (B2) level or higher 📃 Skills: Python, Microservices, Azure, AWS, GCP, Docker, Kubernetes, Serverless, CI/CD, IaC, Monitoring, Logging, LLM, RAG, OpenAI, AzureOpenAI, GitHubCopilot, LangChain, LangGraph, LlamaIndex, Pinecone, pgvector 🏢 Description: We are looking for a Senior Cloud Native Developer passionate about building scalable, resilient, and observable cloud-native applications with AI at the core. The ideal candidate combines deep Python expertise with hands-on cloud engineering experience and the ability to design and deliver AI-powered solutions. Responsibilities Design, implement, and deploy cloud-native solutions using Python, with a focus on scalability, security, performance, and containerization or serverless architectures Design managed database solutions for efficient data management Implement observability through monitoring and logging Apply Infrastructure as Code principles to automate cloud infrastructure management and provisioning Drive continuous integration and deployment practices for rapid and automated application delivery Design and build AI-integrated solutions, including LLM-based applications, RAG pipelines, and AI agents Requirements 3+ years of hands-on experience in software development with a strong emphasis on Python Proven experience designing, developing, and deploying microservices applications Strong knowledge of cloud-native principles and hands-on experience with cloud services, including containerization and serverless computing Deep Experience with cloud platform (Azure, AWS, or GCP) Hands-on experience implementing application monitoring and logging Practical AI knowledge across two dimensions: leveraging AI-powered development tools (GitHub Copilot, Cursor, or similar) to accelerate delivery, and experience building AI-integrated solutions (LLM APIs, RAG pipelines, AI agents, or integrations with Azure OpenAI / OpenAI) English language proficiency at Upper-Intermediate level (B2) or higher Nice to have Cloud platform certifications (Azure, AWS, or GCP) Experience with AI/LLM frameworks and tooling: LangChain, LangGraph, LlamaIndex, vector stores (Azure AI Search, pgvector, Pinecone) Familiarity with AI orchestration patterns: multi-agent systems, evaluator-optimizer loops, retrieval-augmented generation Knowledge of advanced cloud-native architectures We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Senior GCP & Kubernetes DevOps Engineer role focused on migrating 100+ microservices to Google Cloud Platform and operating a scalable, production-ready Kubernetes platform. The position centers on building CI/CD pipelines, implementing observability, and ensuring reliability and security of containerized Java and Python services. It combines hands-on platform engineering with support for large-scale cloud transformation in a global environment. 🗂️ Requirements: 5+ years hands-on Kubernetes experience (preferably GKE), Experience operating or migrating large-scale microservices platforms, Strong support experience with Java and Python microservices on Kubernetes, Experience building CI/CD pipelines for containerized applications, Hands-on Infrastructure as Code experience (Terraform preferred), Experience with monitoring, observability and distributed tracing tools, Knowledge of incident management and production support practices, Fluent English, Legal right to work in the European Union 📃 Skills: GCP, GKE, Kubernetes, Docker, Helm, Terraform, CI/CD, Prometheus, Grafana, Loki, Tempo, Java, Python, Istio, IAM, VPC 🏢 Description: Unleash Innovation in Cloud DevOps — Transform Microservices into Scalable Powerhouses on GCP! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP & Kubernetes DevOps Engineer , you will be working for our client, a leading financial technology organization driving large-scale digital transformation within Global Markets Technology. You will support a major migration project involving over 100 microservices to Google Cloud Platform (GCP), focusing on Kubernetes, observability, and platform reliability. This role offers an exciting opportunity to shape resilient, production-ready infrastructure while fostering innovation and continuous improvement. Your main responsibilities: Engineer and operate the target platform on GCP/GKE to support the migration of 100+ microservices. Partner with application delivery teams to onboard services onto Kubernetes, including deployment patterns, configuration, and operational readiness. Provide hands-on support deploying Java and Python microservices into Kubernetes (using manifests/Helm, config, secrets, scaling, health checks). Build and standardise CI/CD pipelines for containerised workloads, ensuring security and reliability. Implement observability solutions: metrics, logs, distributed tracing (preferably Grafana stack), dashboards, alerting, and SLO reporting. Drive platform reliability and support: incident management, root cause analysis, and preventative enhancements. Identify and address technical debt; propose platform improvements to reduce operational toil and enhance developer experience. Ensure solutions comply with security controls, operational guidelines, and technology standards. Collaborate effectively within a global, dispersed team, sharing knowledge and best practices. You're ideal for this role if you have: A minimum of 5 years of hands-on experience with Kubernetes, ideally GKE, including deployment, ingress, configuration, and troubleshooting. Proven experience migrating or operating microservices platforms at scale. Strong expertise supporting Java and Python microservices within Kubernetes environments. In-depth knowledge of monitoring, observability, and tracing tools, preferably Grafana stacks (e.g., Prometheus, Loki, Tempo). Experience building and maintaining CI/CD pipelines for containerised applications. Skills in Infrastructure as Code (Terraform preferred) and automated environment provisioning. A solid production mindset: reliability, incident response, and continuous improvement. Ability to work effectively with local and global teams, with excellent written and spoken English. A delivery-driven and pragmatic approach, balancing speed, control, and risk management. Open-minded, eager to learn, and capable of guiding colleagues as needed. It is a strong plus if you have: Experience with GCP services supporting GKE (IAM, VPC, Cloud Logging/Monitoring, Artifact Registry). Helm chart development and standardisation across teams. Service mesh experience (Istio) and ingress patterns. Knowledge of security tooling (container scanning, policy-as-code, workload identity). Previous experience with cloud migration or platform engineering projects. Familiarity with Javascript/Vue. Language Required for the role: Fluent English, both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: 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: The offer is for an experienced DevOps Engineer to design, automate, and maintain cloud infrastructure in a regulated banking environment using Google Cloud Platform. The role focuses on managing GCP resources, Kubernetes clusters, Infrastructure-as-Code, and CI/CD pipelines to ensure secure and stable mission-critical systems. It requires hands-on cloud engineering and automation expertise within a distributed team. 🗂️ Requirements: Minimum 3 years of experience managing virtual machines in GCP (Compute Engine), Hands-on experience with Kubernetes (GKE), Experience creating and maintaining Infrastructure-as-Code with Terraform, Experience building and maintaining CI/CD pipelines, Practical experience with Python scripting, Understanding of software development best practices, Fluency in Polish and English, Willingness to work hybrid model in Cracow, Residence in Poland 📃 Skills: GCP, ComputeEngine, Kubernetes, GKE, Terraform, CI/CD, Python, CloudLogging, CloudMonitoring 🏢 Description: Join our team and contribute to the design, development, and ongoing maintenance of infrastructure within regulated banking environments. We are seeking an experienced DevOps Engineer with hands‑on expertise in Google Cloud Platform, who will play a key role in ensuring the stability, security, compliance, and automation of mission‑critical systems. Your tasks Managing virtual machine environments and containerized applications in Google Kubernetes Engine (GKE) Monitoring and troubleshooting GCP environments using Cloud Logging, Cloud Monitoring, and Alerting Policies Creating and maintaining Infrastructure‑as‑Code (IaC) using Terraform Designing, building, and maintaining CI/CD pipelines to automate software delivery Developing and maintaining automation scripts using Python to improve operational efficiency Ensuring compliance with software development best practices, security standards, and organizational policies Analyzing and fulfilling requests from internal customers Collaborating within a globally distributed team in a dynamic environment Requirements At least 3 years of experience managing virtual machine environments in GCP (Compute Engine) Hands-on experience with Kubernetes (GKE) Expertise in creating and maintaining Infrastructure-as-Code with Terraform Strong understanding of CI/CD concepts and experience in building automated workflows Practical knowledge of Python for scripting and automation tasks Awareness of the need to follow best practices in software development Ability to work in a global, distributed team Fluency in both Polish and English (spoken and written) Willingness to work in a hybrid model – 3 day per week in the Cracow office Residing in Poland required What we offer Great Place to Work since 2015 - it’s thanks to feedback from our workers that we get this special title and constantly implement new ideas Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 Attractive benefits package - private healthcare, benefits cafeteria platform, car discounts and more Comfortable workplace – class A offices or remote work Dozens of fascinating projects for prestigious brands from all over the world PLN 1 000 000 per year for your ideas - with this amount, we support the passions and voluntary actions of our workers Investment in your growth – meetups, webinars, training platform and technology blog – you choose Fantastic atmosphere created by all Sii Power People If you want to work on systems with high operational significance — apply now!

🏢 Summary: Senior GCP Cloud DevOps Engineer role focused on building and managing scalable, secure GCP infrastructure in a financial services environment. The position involves engineering Infrastructure as Code solutions, optimizing cloud networking, and supporting CI/CD automation. You will drive cloud transformation by delivering resilient, compliant, and high-performance cloud platforms. 🗂️ Requirements: 5+ years experience with GCP infrastructure build and configuration, Strong Linux administration skills (preferably Red Hat), Experience with Infrastructure as Code using Terraform, Experience with CI/CD tools and automation, Scripting or programming skills (Python, Ruby, Java, JavaScript, Go, Groovy, or Scala), Strong knowledge of GCP networking (VPC, XPN, subnets, NAT, routing), Experience with IAM and cloud security controls, Understanding of monitoring and logging solutions, Fluent English, Legal right to work in the EU 📃 Skills: GCP, Terraform, Ansible, Linux, RedHat, Python, Ruby, Java, JavaScript, Go, Groovy, Scala, CI/CD, IAM, OAuth, VPC, XPN, NAT, SDN, Docker, Networking, Monitoring, Logging 🏢 Description: Unleash cloud innovation — shape the future of scalable, automated infrastructure! Krakow-based opportunity with hybrid work model (up to 3 remote days per week). As a Senior GCP Cloud DevOps Engineer , you will be working for our client, a leader in the financial services industry, driving cloud transformation and building highly resilient, scalable GCP infrastructure. Your expertise will empower the company to deliver innovative applications and services with maximum performance and security. Your main responsibilities: Build and manage the GCP foundation platform to facilitate application deployments across the organization. Engineer solutions on GCP using Infrastructure as Code (e.g., Terraform) and integrate cloud services such as IAM, networking, logging, containers. Manage SDN in GCP, ensuring optimal network configuration including VPCs and XPN. Consume and support centrally provided hardened OS (Linux and Windows), ensuring security and compliance. Implement monitoring, logging, and security standards to meet operational risk policies. Support CI/CD pipelines and implement patches through automation tools. Develop operational documentation and assist in fault diagnosis and support for applications teams. Contribute to change management processes, impact assessments, and out-of-hours support on a rotational basis. You're ideal for this role if you have: 5+ years of experience with cloud service providers, especially GCP, in infrastructure build and configuration. Strong Linux administration and scripting skills, preferably with Red Hat. Experience working with CI/CD tools and automation scripting (Terraform, Ansible, etc.). Programming skills in Python, Ruby, Java, JavaScript, Go, Groovy, or Scala. Solid understanding of DevOps principles, Infrastructure as Code, and network configuration (VPC, XPN, subnets, NAT, routing). Knowledge of security and compliance tools such as IAM, OAuth, and cloud monitoring/auditing solutions. Excellent communication skills in English (fluent). It is a strong plus if you have: GCP Certifications (preferably professional level). Linux Certification or Windows Server Certification. Experience working within highly regulated industries like financial services. Language Required for the role: Fluent English – both written and spoken. Eligibility for the role: Only candidates with an existing legal right to work in the European Union will be considered for this role. #MAKEYourCareerBETTER Interested? Apply now and include your CV (preferably in English) along with a statement confirming your consent to the processing and storage of your personal data.

🏢 Summary: 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 offer is for a Senior GCP DevOps Engineer responsible for supporting clients in implementing and optimizing Google Cloud Platform solutions. The role focuses on cloud architecture guidance, CI/CD and Infrastructure as Code implementation, Kubernetes management, and ensuring scalability, security, and high availability of cloud applications. It involves hands-on deployment, monitoring, troubleshooting, and adapting applications to a Cloud-Native approach. 🗂️ Requirements: 3+ years experience in DevOps or Cloud Engineering, Experience with GCP services including GKE, CloudBuild, Secret Management, Container Registry, Experience managing high availability and secure Kubernetes clusters, Proficiency with Git-based version control systems, Experience with CI/CD tools such as GitHub Actions or Jenkins, Experience creating and managing Dockerfiles and Kubernetes YAML, Experience with infrastructure automation tools such as Terraform or Ansible, Ability to troubleshoot Kubernetes clusters and network connectivity issues, Experience debugging Python-based applications 📃 Skills: GCP, GKE, CloudBuild, Kubernetes, Docker, Terraform, Ansible, Git, GitHub, GitHubActions, Jenkins, Python, CI/CD, IaC, CDN, YAML 🏢 Description: We are looking for a skilled Senior GCP DevOps Engineer to support clients in implementing Google Cloud Platform products. In this role, you will assist with architecture guidance, data migration, troubleshooting, and monitoring while ensuring best practices are followed. If you are ready to make an impact, we encourage you to apply. We would like to inform you that this role is primarily offered under a standard employment contract, in accordance with applicable labor regulations. Responsibilities Clarify technical requirements and project scope Engage in active communication with customers to ensure project alignment Support the adaptation of customer applications to a Cloud-Native approach Implement DevOps practices including CI/CD and Infrastructure as Code (IaaC) Design and optimize cloud applications for scalability, including CDN, caching, compute optimizations, and load balancing setups Assist in deploying and configuring GCP services such as identity management, network architecture, application security, and billing Document technical decisions, designs, and processes for future reference Monitor and troubleshoot cloud applications, including network connectivity and cluster performance Share knowledge and participate in training sessions to develop team expertise Requirements 3+ years of experience in DevOps, Cloud Engineering, or related roles Qualifications in GCP services such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry Background in managing high availability, scalability, and security for Kubernetes clusters and applications Proficiency in Version Control systems including GitHub Expertise in CI/CD tools such as GitHub Actions and/or Jenkins Skills in creating and managing Dockerfiles and Kubernetes YAML configurations Knowledge of infrastructure automation and configuration management tools like Terraform or Ansible Capability to troubleshoot and resolve issues related to Kubernetes clusters and network connectivity Familiarity with diagnosing and debugging Python-based applications We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.