June 8, 2026

DevOps Engineer

Senior • Remote

20,000 - 28,000 PLN/mo

Wroclaw, Poland

Position Overview

Important: Travel & On-Call Requirements

This role requires readiness for long-distance international travel to customer sites. The systems are deployed globally and, when issues cannot be resolved remotely, on-site interventions may be necessary, including deployments, upgrades, and complex troubleshooting activities.

Additionally, the position includes participation in a rotational on-call / standby schedule, ensuring operational continuity and the ability to respond to critical incidents outside of standard working hours.

We are looking for an experienced DevOps Engineer to join a team responsible for the maintenance and further development of a complex automation system deployed on-premise at customer sites. The system is based on Linux (Ubuntu) and a containerized Kubernetes architecture.

The platform consists of multiple cooperating application and infrastructure components, including:

  • backend services

  • GPU-based computing components (CUDA)

  • communication layer

  • storage

  • networking components

The environment is characterized by high operational complexity and strong dependencies between system layers (OS, Kubernetes, applications, networking, storage). Systems are deployed across multiple locations worldwide and often operate in environments with limited local IT support, which requires high reliability and well-defined operational procedures.

The DevOps role goes beyond reactive incident handling. A key objective of the project is to systematically reduce the need for on-site interventions by developing automated monitoring, diagnostics, and recovery mechanisms.


Responsibilities

Incident Handling and System Maintenance

Diagnosing and resolving issues related to:

  • Kubernetes clusters

  • containers (Docker)

  • Linux (Ubuntu) operating system

  • networking

  • storage (including NFS)

  • Analyzing logs and service health across application and infrastructure layers

  • Restoring full system functionality in production environments

  • Performing system deployments and upgrades at customer sites

  • Participating in on-site interventions when issues cannot be resolved remotely


Automation, Observability, and System Resilience

  • Designing and developing automated troubleshooting mechanisms

  • Early detection of infrastructure and application-level issues

Automated validation of the health of key system components:

  • OS

  • Kubernetes

  • containers

  • storage

  • networking

  • Building health checks and observability solutions (metrics, alerts, dashboards)

Creating and maintaining:

  • runbooks

  • standard recovery procedures

  • automated self-healing mechanisms

  • Documenting common incidents, root causes, and resolution methods


Collaboration and Architecture Improvement

  • Close cooperation with development and architecture teams

  • Contributing to architecture simplification and standardization

  • Improving overall system stability and reliability

  • Supporting long-term efforts to reduce operational overhead and manual interventions


Technical Requirements

  • Strong experience with Linux (Ubuntu) system administration and troubleshooting

  • Hands-on experience with Kubernetes, including cluster troubleshooting and container analysis

  • Practical knowledge of Docker

  • Solid understanding of networking and diagnosing network-related issues

  • Experience with NFS / storage troubleshooting

  • Operational knowledge of GPU / CUDA environments (compatibility, stability)

Experience working with:

  • RabbitMQ

  • PostgreSQL


Additional Requirements

  • Willingness to participate in an on-call / standby rotation

  • Readiness for business travel, including on-site customer visits

  • Ability to work independently in complex, distributed environments

  • Strong analytical and problem-solving skills


We offer

  • Salary: 20–28k PLN B2B base + action fee

  • Flexible working hours

  • Remote work options

  • Medical care program

  • MultiSport

  • Integration events

  • A contract of employment or self-employment, depending on You

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Remote

Lisbon, Portugal

🏢 Summary: Senior DevOps Engineer responsible for designing and optimizing CI/CD pipelines, automating deployments, and ensuring high availability of cloud-based payment systems. The role focuses on AWS environments, monitoring and observability, and collaboration with development teams to accelerate reliable software delivery. It includes managing deployments, improving infrastructure reliability, and implementing proactive monitoring and alerting solutions. 🗂️ Requirements: Proven experience in DevOps or Cloud Infrastructure roles, Strong experience designing CI/CD pipelines, Hands-on experience with GitHub Actions, Hands-on experience with AWS CodeDeploy, Experience managing AWS environments including EC2 and Auto Scaling, Strong Linux systems administration skills, Experience with Grafana, Loki, and Sentry, Advanced level of French 📃 Skills: AWS, EC2, AutoScaling, Linux, CICD, GitHub, Actions, CodeDeploy, Grafana, Loki, Sentry, UptimeRobot, Plesk 🏢 Description: Summary We are hiring a Senior DevOps Engineer to be part of a technology-driven company focused on delivering secure, scalable, and reliable payment solutions. The role of the Senior DevOps Engineer is pivotal to ensure high availability and accelerate software delivery while collaborating closely with development and product teams. Main Responsibilities Design, maintain, and optimise CI/CD pipelines for efficient software delivery. Automate deployments in Auto Scaling environments using tools like GitHub Actions and AWS CodeDeploy. Manage deployments within Plesk environments for various applications including Core API and POS systems. Define, document, and standardise deployment and rollback procedures. Continuously enhance deployment processes for reliability and efficiency. Deploy and improve the monitoring and observability ecosystem. Ensure proactive monitoring of infrastructure, applications, and critical services. Manage monitoring tools and dashboards (Grafana, UptimeRobot) to ensure centralised logging and analysis. Implement real-time error tracking and alerting systems using Sentry. Define operational KPIs to enhance system reliability and incident response times. Key Requirements Proven experience in DevOps or Cloud Infrastructure roles. Strong experience with CI/CD pipeline design. Hands-on experience with GitHub Actions and AWS CodeDeploy. Experience managing AWS environments (EC2, Auto Scaling). Strong Linux systems administration skills. Experience with Grafana, Loki, and Sentry. French advanced level. Nice to Have Experience with Plesk administration. Familiarity with Infrastructure as Code (Terraform or CloudFormation). Background in fintech or regulated industries. Other Details Location: Portugal-based Team Structure: Collaborate with cross-functional teams including development and product teams. Tools: GitHub Actions, AWS CodeDeploy, Grafana, Sentry, UptimeRobot, Plesk.

Technology

ALTER GPU CENTER

DevOps Engineer

Mid

Remote

Łódź, Poland

🏢 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