Senior DevOps Engineer with Snowflake expertise

🏢 Summary: The role involves designing and maintaining scalable infrastructure while automating CI/CD processes to support operational workflows. The DevOps Engineer will build deployment pipelines, integrate systems, and ensure system performance and reliability in an Agile environment. The position focuses on infrastructure automation and collaboration with development and operations teams. 🗂️ Requirements: Several years of experience as DevOps Engineer, Strong knowledge of CI/CD tools, Experience with Kubernetes, Experience with Docker, Knowledge of monitoring and observability tools, Ability to work with SQL, Experience with automation scripting, Experience working in Agile environment 📃 Skills: CI/CD, Kubernetes, Docker, SQL, Monitoring, Observability, Scripting, Agile 🏢 Description: Poszukujemy osoby na stanowisko DevOps Engineer do zespołu odpowiedzialnego za rozwój i wdrażanie zautomatyzowanych procesów wspierających obsługę wniosków i procesów operacyjnych. Rola obejmuje budowę oraz utrzymanie nowoczesnej infrastruktury, automatyzację procesów CI/CD oraz współpracę z zespołami developerskimi i biznesowymi w środowisku Agile. Zakres obowiązków: Projektowanie i wdrażanie skalowalnej infrastruktury Budowa i utrzymanie pipeline’ów CI/CD Automatyzacja procesów wdrożeniowych i operacyjnych Monitorowanie wydajności systemów oraz wdrażanie usprawnień Integracja systemów i optymalizacja workflow Współpraca z zespołami developerskimi, operations oraz biznesem Udział w projektowaniu rozwiązań technicznych i procesowych Wymagania: Kilkuletnie doświadczenie na stanowisku DevOps Engineer Bardzo dobra znajomość narzędzi CI/CD oraz technologii kontenerowych Doświadczenie w pracy z Kubernetes oraz Docker Znajomość monitoringu i observability Umiejętność pracy z SQL oraz skryptami automatyzującymi Doświadczenie w środowisku Agile Komunikatywność i umiejętność pracy zespołowej Mile widziane doświadczenie w sektorze finansowym lub procesach workflow

🏢 Summary: DevOps Engineer role focused on supporting and scaling modern data platforms by combining DevOps practices with data engineering expertise. The position involves building and maintaining CI/CD pipelines, managing cloud-based data infrastructure, and ensuring reliable, automated data workflows. You will collaborate with data teams to optimize performance, scalability, and security of data solutions. 🗂️ Requirements: 4–5 years experience in DevOps or similar role, Hands-on experience with Databricks, Strong experience with AWS, Experience building and maintaining CI/CD pipelines with Jenkins, Background in data engineering or data platforms, Basic to intermediate Python knowledge, Understanding of ETL/ELT processes, Knowledge of distributed data systems 📃 Skills: Jenkins, Databricks, AWS, Python, CICD, ETL, ELT, DevOps, DataEngineering, Cloud, DistributedSystems 🏢 Description: About the Role We are looking for a DevOps Engineer with a strong data background to support and scale modern data platforms. In this role, you will work at the intersection of DevOps and Data Engineering , ensuring reliable, automated, and efficient data pipelines and environments. You will be responsible for maintaining and improving CI/CD processes, supporting cloud-based data platforms, and collaborating with data engineers and analytics teams to enable smooth data operations. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Jenkins . Manage and optimize data platforms based on Databricks . Build and maintain cloud infrastructure on Amazon Web Services . Support deployment, monitoring, and troubleshooting of data pipelines and workflows. Collaborate closely with data engineers to improve reliability and performance of data solutions. Automate infrastructure and operational processes. Ensure best practices in security, scalability, and performance across the platform. Required Skills & Experience 4–5 years of experience in a DevOps Engineer or similar role. Hands-on experience with Databricks . Strong experience with Amazon Web Services . Experience building and maintaining CI/CD pipelines using Jenkins . Background in data engineering or experience working with data platforms. Basic to intermediate knowledge of Python . Understanding of data pipelines, ETL/ELT processes, and distributed data systems. Strong problem-solving skills and ability to troubleshoot complex issues. Good communication skills and ability to work in cross-functional 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: The role involves designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines, with a strong focus on Google Cloud Platform and Azure. The DevOps Engineer will automate deployments, manage infrastructure as code, and ensure reliability, security, and performance of cloud environments. The position requires close collaboration with development teams to improve deployment processes and platform stability. 🗂️ Requirements: Proven experience as DevOps Engineer or similar cloud role, Expert-level experience with Google Cloud Platform, Hands-on experience with Microsoft Azure, Experience with CI/CD tools (Azure DevOps, GitHub, GitHub Actions), Experience with Infrastructure as Code using Terraform, Scripting and automation skills using Python, Knowledge of cloud architecture and deployment best practices, Strong troubleshooting skills, English proficiency 📃 Skills: GCP, Azure, Terraform, Python, AzureDevOps, GitHub, GitHubActions, CI/CD, IaC 🏢 Description: About the Role We are looking for a skilled DevOps Engineer to join our technology team and help design, implement, and maintain scalable cloud infrastructure and modern CI/CD pipelines. In this role, you will work closely with development and platform teams to automate processes, improve deployment efficiency, and ensure the reliability and security of cloud-based systems. The ideal candidate has strong experience with cloud platforms, infrastructure as code, and modern DevOps practices, with particular expertise in Google Cloud Platform and CI/CD tooling. Key Responsibilities Design, implement, and maintain CI/CD pipelines using Azure DevOps , GitHub , and GitHub Actions . Build and manage scalable cloud infrastructure on Google Cloud Platform and Microsoft Azure . Develop and maintain infrastructure using Infrastructure as Code practices with Terraform . Automate operational and deployment processes using Python . Monitor and optimize cloud environments for performance, reliability, and cost efficiency. Collaborate with development teams to improve application deployment processes and platform reliability. Implement best practices in security, access control, and cloud governance. Troubleshoot infrastructure and deployment issues across environments. Required Skills & Experience Proven experience as a DevOps Engineer or in a similar cloud/infrastructure role. Strong hands-on experience with Google Cloud Platform at a principal or expert level . Solid experience with Microsoft Azure . Hands-on experience with CI/CD tools such as Azure DevOps , GitHub , and GitHub Actions . Strong knowledge of Infrastructure as Code tools, particularly Terraform . Good scripting and automation skills using Python . Experience with cloud architecture, automation, and deployment best practices. Strong troubleshooting and problem-solving skills. Ability to work collaboratively in cross-functional teams. Good communication skills and proficiency in English.

🏢 Summary: Remote Senior DevOps Engineer role focused on modernizing and scaling a cloud-native Data & AI Platform. The position involves refactoring AWS and Airflow infrastructure, implementing Infrastructure as Code for Snowflake, and building next-generation workflow orchestration. The role also supports CI/CD automation and infrastructure for Data Science, ML, and AI systems. 🗂️ Requirements: Strong experience with AWS, Strong experience with Terraform, Hands-on experience with Apache Airflow, Experience with CI/CD tools (GitLab, GitHub Actions, Jenkins), Experience with Snowflake and Infrastructure as Code, Knowledge of modern workflow orchestration tools (Prefect, Dagster, Temporal), Experience supporting Data Science, ML, or AI platforms 📃 Skills: AWS, Terraform, Airflow, Snowflake, GitLab, GitHubActions, Jenkins, Prefect, Dagster, Temporal, CI/CD, IaC, Python 🏢 Description: Senior DevOps Engineer (Data Platform & AI) 📍 Remote from Poland We are looking for a Senior DevOps Engineer to support the evolution of our Data & AI Platform. Key responsibilities: • Refactoring AWS-based Data Platform infrastructure • Refactoring and optimization of Apache Airflow infrastructure • CI/CD runner setup and automation • Infrastructure setup for Data Science and ML pipelines • Infrastructure as Code (Terraform) for Snowflake environments • Design and implementation of a next-generation workflow engine to replace Airflow • Infrastructure setup for AI systems, including MCP servers Requirements: • Strong AWS and Terraform experience • Hands-on experience with Airflow infrastructure • CI/CD expertise (GitLab, GitHub Actions, Jenkins) • Experience with Snowflake and Infrastructure as Code • Understanding of modern workflow orchestration tools (Prefect, Dagster, Temporal, etc.) • Experience supporting Data Science, ML, or AI platforms Nice to have: • GCP / BigQuery exposure • Experience with LLM or AI infrastructure This is an opportunity to build and modernize a cloud-native data platform while helping shape the future AI infrastructure of the organization.

🏢 Summary: Hands-on DevOps Engineer role focused on operating and evolving a secure, mission-critical fintech platform used by global financial institutions. Responsible for production operations, CI/CD pipelines, cloud infrastructure, monitoring, incident management, and release coordination in a regulated environment. Combines engineering and operations to ensure reliability, security, and scalability at scale. 🗂️ Requirements: Experience with Linux/Unix systems in production, Proficiency in Infrastructure as Code using Terraform and Ansible, Experience building and maintaining CI/CD pipelines, Hands-on experience with cloud platforms (Azure preferred), Experience with containers and orchestration (Docker, Kubernetes), Scripting skills in Python and Bash, Strong security and incident response experience, Experience with monitoring and logging tools 📃 Skills: Linux, Unix, Terraform, Ansible, CI/CD, Azure, Docker, Kubernetes, Python, Bash, ELK, Grafana, Datadog, ISO27001, SOC2 🏢 Description: An innovative financial technology company is seeking an experienced DevOps Engineer to help operate and evolve a highly secure, mission‑critical platform used by global financial institutions. You’ll be responsible for production operations, CI/CD, cloud infrastructure, monitoring, incident management, and release coordination across a distributed platform. The role is hands‑on, blending operations with engineering in a regulated environment. Key skills Linux/Unix systems in production Infrastructure as Code (Terraform, Ansible) CI/CD, monitoring (ELK, Grafana, Datadog) Cloud platforms (Azure preferred) Containers & orchestration (Docker, Kubernetes) Scripting (Python, Bash) Strong security and incident response experience Nice to have Financial services experience Security, networking, or blockchain exposure Compliance standards (ISO27001, SOC2) What’s on offer Complex technical challenges in modern fintech Collaborative, high‑calibre engineering team Competitive package and flexible working Interested in building reliable, secure platforms at scale—apply to find out more.

🏢 Summary: Hands-on DevOps Engineer role focused on building and operating automation, deployment, and reliability standards for large-scale GPU infrastructure supporting AI training and inference. The position involves Infrastructure as Code, CI/CD, observability, security, and low-level automation across bare-metal servers, networking, storage, and Kubernetes-based platforms. The role emphasizes reliability, scalability, and automation in complex, high-performance environments. 🗂️ Requirements: 4–7 years in DevOps, SRE, or Platform Engineering, Experience with infrastructure automation in production environments, Hands-on experience with Terraform or Ansible, Experience building and maintaining CI/CD pipelines, Knowledge of GitOps practices, Understanding of infrastructure security and vulnerability management, Experience with security tools (e.g., Snyk, CrowdStrike), Practical experience with Kubernetes, Experience with GPU technologies (e.g., NVIDIA GPU Operator, MIG), Scripting or programming skills in Python, Go, or Bash, Experience with bare-metal provisioning or low-level infrastructure automation, Knowledge of observability tools (Prometheus, Grafana, Loki, OpenTelemetry) 📃 Skills: Terraform, Ansible, Kubernetes, Python, Go, Bash, Prometheus, Grafana, Loki, OpenTelemetry, Snyk, CrowdStrike, NVIDIA, MIG, CI/CD, GitOps 🏢 Description: About the role We are looking for a DevOps Engineer to help build and operate automation, deployment, and reliability standards for large-scale GPU infrastructure used for AI training and inference workloads. In this role, you will work on software-defined infrastructure supporting GPU clusters, high-performance networking, storage platforms, and internal AI services. This is a hands-on position for someone who is comfortable working close to infrastructure, improving operational processes, and building reliable automation in a complex technical environment. Responsibilities Design, implement, and maintain Infrastructure as Code solutions for provisioning and managing bare-metal GPU servers, networking, storage, and cluster orchestration components Build and improve CI/CD pipelines for infrastructure, platform services, and internal tooling Develop and maintain monitoring, logging, alerting, and observability solutions for large-scale GPU environments Support reliability initiatives by defining and tracking SLIs/SLOs , automating incident response, and contributing to post-incident analysis Automate operational tasks such as cluster scaling, firmware and BIOS updates, hardware validation, diagnostics, and capacity planning Work closely with Infrastructure, Networking, Facilities, and AI/ML teams to ensure stable and scalable platform operations Support DevSecOps practices, including infrastructure hardening, vulnerability management, and compliance automation Identify repetitive manual work and replace it with efficient automation Evaluate new tools and solutions related to GPU infrastructure, orchestration, and cloud-native operations Requirements 4–7 years of experience in DevOps, SRE, Platform Engineering , or a similar role Strong practical experience with infrastructure automation in complex production environments Good hands-on knowledge of Terraform, Ansible , or similar Infrastructure as Code tools Experience building and maintaining CI/CD pipelines and working with GitOps practices Good understanding of infrastructure security, vulnerability management, and security best practices Experience with security tools such as Snyk, CrowdStrike , or similar solutions Practical experience with Kubernetes Experience working with GPU-related technologies such as NVIDIA GPU Operator, device plugins, MIG, or time-slicing Good scripting or programming skills in Python, Go, or Bash Experience with bare-metal provisioning, low-level infrastructure automation, or data center operations Good knowledge of observability tools such as Prometheus, Grafana, Loki, and OpenTelemetry Ability to work independently, prioritize tasks, and communicate effectively with technical teams English proficiency at least at a communicative level is required, as you will be working in an international team Nice to have Experience in AI infrastructure, HPC environments, hyperscale infrastructure, or data center operations Familiarity with orchestration and scheduling tools such as Slurm, Ray, Run:ai, KServe , or Kubernetes-based schedulers Experience integrating telemetry from power, cooling, or environmental systems Experience building internal platforms or self-service tools for engineering teams Understanding of compliance and audit requirements in security-sensitive environments What we offer Benefits package Opportunity to work on advanced infrastructure supporting large-scale AI workloads Real impact on the reliability and scalability of next-generation compute environments Collaboration with experienced engineers across infrastructure, platform, and AI domains A fast-moving environment with space for ownership, technical input, and professional growth

🏢 Summary: Offer for a DevOps Engineer to develop and maintain data-driven environments based on AWS and Databricks, with strong focus on automation and optimization. The role involves building CI/CD pipelines, managing cloud infrastructure, and supporting data projects in production environments. 🗂️ Requirements: Minimum 5 years of experience as DevOps Engineer, Hands-on experience with AWS, Practical experience with Databricks, Experience with Jenkins and CI/CD pipelines, Experience in data-related projects (data pipelines, big data), Strong knowledge of Python, Ability to automate processes using Infrastructure as Code, Good knowledge of Linux systems 📃 Skills: AWS, Databricks, Jenkins, Python, Linux, CI/CD, IaC, BigData, DataPipelines 🏢 Description: Poszukujemy DevOps Engineera z doświadczeniem w obszarze danych , który dołączy do zespołu pracującego nad nowoczesnymi rozwiązaniami data-driven. Projekt obejmuje rozwój i utrzymanie środowisk opartych o Databricks oraz AWS , ze szczególnym naciskiem na automatyzację i optymalizację procesów. Zakres obowiązków Zarządzanie i rozwój infrastruktury DevOps w środowisku AWS Praca z platformą Databricks (deployment, konfiguracja, optymalizacja) Tworzenie i utrzymanie pipeline’ów CI/CD ( Jenkins ) Automatyzacja procesów (Infrastructure as Code, skrypty) Monitorowanie, optymalizacja i utrzymanie środowisk produkcyjnych Wymagania: Doświadczenie na stanowisku DevOps Engineer minimum 5 lat Praktyczna znajomość: AWS / Databricks / Jenkins Doświadczenie w pracy z danymi lub projektami data (data pipelines, big data) Znajomość Python Umiejętność automatyzacji procesów i pracy z CI/CD Dobra znajomość systemów Linux

🏢 Summary: DevOps Engineer role focused on building and optimizing scalable AWS-based infrastructure, driving CI/CD automation, and improving system reliability. The position involves environment architecture planning, infrastructure as code, Kubernetes orchestration, and production support in a collaborative DevOps team. The offer targets experienced engineers ready to take ownership of cloud-native, automated environments. 🗂️ Requirements: 3+ years experience as DevOps Engineer, 3+ years production experience with AWS, AWS Professional-level certification, Strong Linux administration skills, Strong networking knowledge, Strong scripting skills in Bash, Python or Go, Experience with CI/CD tools, 2+ years practical experience with Kubernetes, Understanding of relational and NoSQL databases, Experience with configuration management tools, Experience with Infrastructure as Code, Understanding of observability stack, Upper-Intermediate English level 📃 Skills: AWS, Linux, Networking, Bash, Python, Go, CI/CD, Kubernetes, SQL, NoSQL, Terraform, Ansible, CloudFormation, Prometheus, Grafana 🏢 Description: Are you passionate about building scalable infrastructure and driving automation? We are looking for a DevOps Engineer to join our high-performing DevOps team at Sigma Software. You will work alongside more than 30 talented specialists, applying industry best practices and modern methodologies to deliver top-quality solutions. At Sigma Software, we value innovation, professional growth, and collaboration. Joining us means access to diverse projects, cutting-edge technologies, and a supportive environment where you can take ownership and make a real impact. RESPONSIBILITIES Participate in environment and architecture planning Drive automation of CI/CD pipelines and other project processes Optimize existing environments and infrastructure structure Recommend new technologies and procedures to enhance service availability and management Troubleshoot production system and network issues related to performance and functionality Support and maintain existing environments Consult development teams on infrastructure-related questions REQUIREMENTS More than 3 years of hands-on experience as a DevOps Engineer At least 3 years of production experience with AWS AWS Professional-level certification (e.g., Solutions Architect — Professional and/or DevOps Engineer — Professional) Strong Linux administration and networking skills Strong scripting and coding skills with Bash, Python, and/or Go Experience with CI/CD tools At least 2 years of practical experience with Kubernetes Good understanding of relational and NoSQL databases Proven experience with configuration management tools and Infrastructure as Code Deep understanding of the observability stack At least an Upper-Intermediate level of English WILL BE A PLUS Hands-on experience with Azure and/or GCP Experience with GitOps and noOps approaches Expertise in OpenShift and AWS ECS Familiarity with serverless models Experience working on multiple projects simultaneously PERSONAL PROFILE Proactive, ownership-oriented mindset Strong problem-solving skills Ability to work collaboratively in large teams Comfortable working in a dynamic, fast-paced environment